Python全栈学习课程套装（入门+数据分析+网络爬虫+云开发+游戏开发+科学计算+机器学习）
全栈技能，一网打尽
编辑点评
从入门到进阶，涵盖数据分析、网络爬虫、云开发等，全面掌握Python全栈技能。
⭐ 编辑推荐
本课程套装涵盖Python全栈开发，从基础到高级，助你成为全能型Python工程师。
包含机器学习、数据分析、网络爬虫、云开发、游戏开发、科学计算等多个领域，让你全面掌握Python应用。
课程亮点
• 全栈技能培训
• 多个领域覆盖
• 实战项目驱动
课程目录
📁 Python机器学习
📁 📁 课件资料
📁 📁 MachineLearning
📁 📁 B
📁 📁 stock
000777.csv [559.3 KB]
prices.txt [439.0 B]
C.zip [33.9 MB]
use_neighbors.py [848.0 B]
use_Ridge.py [785.0 B]
use_PolynomialFeatures.py [972.0 B]
B.zip [54.7 MB]
E.zip [50.8 MB]
use_neighbors2.py [1.8 KB]
digits.zip [798.9 KB]
A.zip [51.1 MB]
use_GaussianNB.py [475.0 B]
use_DecisionTree.py [769.0 B]
use_SVM.py [2.2 KB]
use_ClassificationReport.py [4.1 KB]
use_linear_model.py [801.0 B]
D.zip [44.2 MB]
use_MLPClassifier.py [2.2 KB]
📁 📁 A
city.txt [1.9 KB]
use_NMF.py [1.7 KB]
use_DBSCAN.py [1.1 KB]
TestData.txt [51.8 KB]
use-KMeans.py [855.0 B]
use_PCA.py [805.0 B]
starbucks.jpg [1.9 MB]
use_KMeans2Image.py [710.0 B]
cos_dist.py [706.0 B]
cluster_centers.py [1.2 KB]
📁 📁 期末作业
期末大作业1（程序设计）.txt [850.0 B]
use_KNN_model_2.py [1.2 KB]
data_train.txt [50.6 MB]
data_test.txt [21.3 MB]
use_GaussianNB_model_3.py [1.1 KB]
use_MLPClassifier_model_1.py [1.3 KB]
📁 📁 venv
📁 📁 lib
📁 📁 python3.5
📁 📁 site-packages
📁 📁 packaging-16.8.dist-info
top_level.txt [11.0 B]
RECORD [1.7 KB]
metadata.json [1004.0 B]
INSTALLER [5.0 B]
DESCRIPTION.rst [5.0 KB]
WHEEL [116.0 B]
METADATA [5.8 KB]
📁 📁 pandas
📁 📁 tests
📁 📁 io
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📁 📁 frame
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📁 📁 groupby
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📁 📁 sparse
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📁 📁 __pycache__
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📁 📁 api
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📁 📁 tseries
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📁 📁 tools
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📁 📁 series
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📁 📁 dtypes
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📁 📁 computation
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📁 📁 data
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📁 📁 util
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📁 📁 scalar
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📁 📁 plotting
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📁 📁 indexes
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test_common.py [4.9 KB]
test_panelnd.py [3.7 KB]
test_take.py [19.0 KB]
test_multilevel.py [104.3 KB]
test_resample.py [126.9 KB]
test_internals.py [46.7 KB]
test_panel.py [104.3 KB]
test_join.py [7.0 KB]
test_lib.py [9.2 KB]
test_nanops.py [42.4 KB]
test_errors.py [1.2 KB]
test_config.py [16.1 KB]
test_compat.py [2.4 KB]
test_panel4d.py [34.1 KB]
test_downstream.py [2.0 KB]
test_sorting.py [13.7 KB]
test_expressions.py [18.0 KB]
test_algos.py [57.7 KB]
test_base.py [38.7 KB]
test_categorical.py [174.9 KB]
__init__.py
test_strings.py [108.7 KB]
test_window.py [149.7 KB]
📁 📁 formats
📁 📁 __pycache__
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__init__.py
style.py [286.0 B]
📁 📁 __pycache__
json.cpython-35.pyc [462.0 B]
testing.cpython-35.pyc [366.0 B]
_version.cpython-35.pyc [585.0 B]
lib.cpython-35.pyc [458.0 B]
parser.cpython-35.pyc [514.0 B]
__init__.cpython-35.pyc [4.5 KB]
conftest.cpython-35.pyc [1.7 KB]
tslib.cpython-35.pyc [495.0 B]
📁 📁 stats
📁 📁 __pycache__
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moments.py [31.7 KB]
api.py [109.0 B]
__init__.py
📁 📁 tools
📁 📁 __pycache__
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hashing.py [581.0 B]
merge.py [455.0 B]
plotting.py [621.0 B]
__init__.py
📁 📁 types
📁 📁 __pycache__
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concat.py [512.0 B]
common.py [277.0 B]
__init__.py
📁 📁 compat
📁 📁 numpy
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📁 📁 __pycache__
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openpyxl_compat.py [954.0 B]
chainmap.py [742.0 B]
__init__.py [11.8 KB]
pickle_compat.py [5.5 KB]
chainmap_impl.py [4.6 KB]
📁 📁 tseries
📁 📁 __pycache__
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__init__.py
frequencies.py [34.5 KB]
converter.py [618.0 B]
api.py [125.0 B]
plotting.py [66.0 B]
util.py [3.3 KB]
offsets.py [96.2 KB]
holiday.py [16.3 KB]
📁 📁 _libs
📁 📁 __pycache__
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algos.cpython-35m-darwin.so [3.5 MB]
sparse.cpython-35m-darwin.so [2.1 MB]
parsers.cpython-35m-darwin.so [1.1 MB]
hashing.cpython-35m-darwin.so [131.4 KB]
groupby.cpython-35m-darwin.so [1.5 MB]
reshape.cpython-35m-darwin.so [285.8 KB]
tslib.cpython-35m-darwin.so [3.6 MB]
index.cpython-35m-darwin.so [812.7 KB]
period.cpython-35m-darwin.so [913.9 KB]
testing.cpython-35m-darwin.so [171.3 KB]
json.cpython-35m-darwin.so [203.4 KB]
interval.cpython-35m-darwin.so [3.0 MB]
window.cpython-35m-darwin.so [1.4 MB]
hashtable.cpython-35m-darwin.so [1.2 MB]
join.cpython-35m-darwin.so [5.2 MB]
__init__.py [259.0 B]
lib.cpython-35m-darwin.so [2.3 MB]
📁 📁 util
📁 📁 __pycache__
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hashing.py [579.0 B]
_decorators.py [8.8 KB]
__init__.py [162.0 B]
_move.cpython-35m-darwin.so [26.1 KB]
_validators.py [8.2 KB]
_print_versions.py [4.9 KB]
decorators.py [273.0 B]
testing.py [91.7 KB]
_doctools.py [6.8 KB]
_depr_module.py [3.6 KB]
_tester.py [641.0 B]
📁 📁 api
📁 📁 types
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📁 📁 __pycache__
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__init__.py [28.0 B]
📁 📁 plotting
📁 📁 __pycache__
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_core.py [97.4 KB]
__init__.py [612.0 B]
_style.py [8.4 KB]
_misc.py [18.3 KB]
_tools.py [12.9 KB]
_compat.py [1.6 KB]
_converter.py [35.3 KB]
_timeseries.py [11.1 KB]
📁 📁 errors
📁 📁 __pycache__
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__init__.py [1.5 KB]
📁 📁 io
📁 📁 json
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📁 📁 clipboard
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📁 📁 msgpack
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📁 📁 sas
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📁 📁 __pycache__
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📁 📁 formats
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excel.py [58.7 KB]
stata.py [84.2 KB]
pickle.py [3.6 KB]
gbq.py [4.0 KB]
wb.py [338.0 B]
parsers.py [118.2 KB]
data.py [340.0 B]
packers.py [27.6 KB]
common.py [17.1 KB]
html.py [28.2 KB]
__init__.py
date_converters.py [1.8 KB]
sql.py [58.5 KB]
api.py [1.1 KB]
feather_format.py [3.0 KB]
s3.py [1.2 KB]
pytables.py [161.3 KB]
📁 📁 computation
📁 📁 __pycache__
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expressions.py [444.0 B]
__init__.py
📁 📁 core
📁 📁 computation
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📁 📁 reshape
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📁 📁 dtypes
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📁 📁 sparse
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📁 📁 indexes
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📁 📁 tools
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📁 📁 __pycache__
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📁 📁 util
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missing.py [21.4 KB]
series.py [100.2 KB]
nanops.py [24.0 KB]
__init__.py
base.py [38.6 KB]
generic.py [229.2 KB]
panel.py [56.1 KB]
config_init.py [17.2 KB]
indexing.py [73.5 KB]
panelnd.py [4.6 KB]
algorithms.py [54.7 KB]
categorical.py [74.0 KB]
datetools.py [1.4 KB]
api.py [2.8 KB]
frame.py [220.3 KB]
ops.py [54.1 KB]
index.py [104.0 B]
panel4d.py [2.6 KB]
window.py [68.5 KB]
groupby.py [147.6 KB]
resample.py [44.5 KB]
internals.py [179.2 KB]
strings.py [60.6 KB]
common.py [15.3 KB]
sorting.py [12.3 KB]
config.py [23.2 KB]
tslib.py [301.0 B]
json.py [286.0 B]
__init__.py [5.5 KB]
lib.py [320.0 B]
testing.py [166.0 B]
parser.py [333.0 B]
_version.py [569.0 B]
conftest.py [1.4 KB]
📁 📁 scipy
📁 📁 interpolate
📁 📁 tests
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📁 📁 __pycache__
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dfitpack.cpython-35m-darwin.so [422.9 KB]
rbf.py [9.5 KB]
__init__.py [3.4 KB]
_bspl.cpython-35m-darwin.so [274.9 KB]
setup.py [1.8 KB]
_pade.py [1.5 KB]
fitpack2.py [62.1 KB]
_fitpack_impl.py [46.8 KB]
interpolate.py [101.3 KB]
polyint.py [22.8 KB]
_cubic.py [29.3 KB]
interpnd_info.py [974.0 B]
interpnd.cpython-35m-darwin.so [360.7 KB]
ndgriddata.py [7.5 KB]
interpolate_wrapper.py [5.4 KB]
_bsplines.py [29.6 KB]
_fitpack.cpython-35m-darwin.so [223.2 KB]
_ppoly.cpython-35m-darwin.so [392.2 KB]
fitpack.py [25.1 KB]
_interpolate.cpython-35m-darwin.so [16.2 KB]
📁 📁 io
📁 📁 tests
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📁 📁 arff
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📁 📁 __pycache__
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📁 📁 harwell_boeing
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📁 📁 matlab
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mmio.py [27.6 KB]
setup.py [559.0 B]
idl.py [26.1 KB]
__init__.py [2.4 KB]
wavfile.py [12.7 KB]
_fortran.py [7.7 KB]
netcdf.py [37.8 KB]
📁 📁 sparse
📁 📁 tests
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📁 📁 __pycache__
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📁 📁 linalg
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📁 📁 csgraph
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dok.py [18.1 KB]
base.py [37.6 KB]
sputils.py [12.4 KB]
__init__.py [6.9 KB]
generate_sparsetools.py [12.6 KB]
data.py [12.4 KB]
dia.py [12.7 KB]
_matrix_io.py [3.9 KB]
extract.py [4.8 KB]
compressed.py [45.1 KB]
coo.py [18.3 KB]
sparsetools.py [741.0 B]
setup.py [2.2 KB]
lil.py [17.8 KB]
csc.py [7.0 KB]
bsr.py [23.5 KB]
_csparsetools.cpython-35m-darwin.so [534.1 KB]
spfuncs.py [2.9 KB]
csr.py [15.6 KB]
construct.py [24.4 KB]
_sparsetools.cpython-35m-darwin.so [4.4 MB]
📁 📁 stats
📁 📁 __pycache__
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📁 📁 tests
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vonmises.py [1009.0 B]
_stats.cpython-35m-darwin.so [439.8 KB]
distributions.py [843.0 B]
__init__.py [9.3 KB]
statlib.cpython-35m-darwin.so [65.1 KB]
_distn_infrastructure.py [120.1 KB]
_continuous_distns.py [148.3 KB]
mvn.cpython-35m-darwin.so [85.7 KB]
contingency.py [9.4 KB]
mstats.py [2.0 KB]
mstats_extras.py [14.3 KB]
_tukeylambda_stats.py [7.0 KB]
_multivariate.py [113.0 KB]
_discrete_distns.py [22.5 KB]
_distr_params.py [4.5 KB]
_binned_statistic.py [26.5 KB]
_stats_mstats_common.py [8.7 KB]
setup.py [997.0 B]
morestats.py [95.8 KB]
kde.py [18.9 KB]
mstats_basic.py [85.6 KB]
stats.py [188.0 KB]
_constants.py [708.0 B]
📁 📁 __pycache__
version.cpython-35.pyc [344.0 B]
setup.cpython-35.pyc [1.2 KB]
__init__.cpython-35.pyc [4.4 KB]
__config__.cpython-35.pyc [1.3 KB]
📁 📁 _build_utils
📁 📁 __pycache__
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__init__.py [694.0 B]
_fortran.py [5.7 KB]
📁 📁 signal
📁 📁 tests
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📁 📁 __pycache__
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wavelets.py [10.6 KB]
sigtools.cpython-35m-darwin.so [93.5 KB]
_upfirdn_apply.cpython-35m-darwin.so [230.6 KB]
setup.py [1.3 KB]
filter_design.py [135.9 KB]
lti_conversion.py [14.1 KB]
_max_len_seq_inner.cpython-35m-darwin.so [159.4 KB]
spectral.py [61.7 KB]
_upfirdn.py [6.6 KB]
__init__.py [13.0 KB]
spline.cpython-35m-darwin.so [53.4 KB]
_savitzky_golay.py [13.0 KB]
ltisys.py [123.9 KB]
windows.py [58.7 KB]
signaltools.py [116.9 KB]
waveforms.py [17.6 KB]
_spectral.cpython-35m-darwin.so [51.6 KB]
bsplines.py [11.7 KB]
_peak_finding.py [18.1 KB]
_max_len_seq.py [5.0 KB]
fir_filter_design.py [36.4 KB]
_arraytools.py [7.6 KB]
📁 📁 spatial
📁 📁 __pycache__
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📁 📁 tests
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_voronoi.cpython-35m-darwin.so [173.2 KB]
_distance_wrap.cpython-35m-darwin.so [93.6 KB]
_procrustes.py [4.5 KB]
__init__.py [3.2 KB]
kdtree.py [38.2 KB]
_plotutils.py [5.6 KB]
_hausdorff.cpython-35m-darwin.so [169.5 KB]
ckdtree.cpython-35m-darwin.so [690.0 KB]
distance.py [70.5 KB]
_spherical_voronoi.py [11.9 KB]
qhull.cpython-35m-darwin.so [1.0 MB]
setup.py [3.7 KB]
📁 📁 cluster
📁 📁 tests
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📁 📁 __pycache__
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vq.py [28.7 KB]
hierarchy.py [99.3 KB]
__init__.py [928.0 B]
setup.py [1.2 KB]
_hierarchy.cpython-35m-darwin.so [345.0 KB]
_vq.cpython-35m-darwin.so [104.4 KB]
📁 📁 ndimage
📁 📁 __pycache__
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📁 📁 tests
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morphology.py [80.3 KB]
filters.py [52.0 KB]
_ni_label.cpython-35m-darwin.so [365.2 KB]
fourier.py [11.9 KB]
measurements.py [49.0 KB]
_ctest_oldapi.cpython-35m-darwin.so [10.5 KB]
_ctest.cpython-35m-darwin.so [10.3 KB]
_cytest.cpython-35m-darwin.so [50.1 KB]
interpolation.py [29.6 KB]
setup.py [1.5 KB]
_ni_support.py [3.4 KB]
_nd_image.cpython-35m-darwin.so [164.9 KB]
__init__.py [5.0 KB]
io.py [1.1 KB]
📁 📁 optimize
📁 📁 tests
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📁 📁 __pycache__
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📁 📁 _lsq
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_lbfgsb.cpython-35m-darwin.so [130.2 KB]
_linprog.py [37.4 KB]
_trustregion_dogleg.py [4.5 KB]
_trustregion_ncg.py [4.7 KB]
_group_columns.cpython-35m-darwin.so [177.1 KB]
nnls.py [1.4 KB]
_hungarian.py [9.4 KB]
moduleTNC.cpython-35m-darwin.so [55.4 KB]
cobyla.py [10.0 KB]
optimize.py [100.9 KB]
_trustregion.py [8.6 KB]
_root.py [26.0 KB]
lbfgsb.py [18.2 KB]
nonlin.py [47.1 KB]
slsqp.py [18.2 KB]
zeros.py [20.0 KB]
setup.py [3.3 KB]
_basinhopping.py [27.6 KB]
_minimize.py [26.4 KB]
minpack.py [33.2 KB]
_numdiff.py [21.3 KB]
_differentialevolution.py [32.6 KB]
_cobyla.cpython-35m-darwin.so [129.9 KB]
_tstutils.py [1.3 KB]
_zeros.cpython-35m-darwin.so [15.9 KB]
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test_tool.py [681.0 B]
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ufuncs.py [5.4 KB]
broadcasting.py [5.6 KB]
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arraysetops.py [14.4 KB]
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ufunclike.py [4.9 KB]
nanfunctions.py [50.8 KB]
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arraypad.py [51.4 KB]
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recfunctions.py [35.2 KB]
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hermite.py [58.3 KB]
📁 📁 linalg
📁 📁 tests
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linalg.py [78.4 KB]
__init__.py [2.3 KB]
lapack_lite.cpython-35m-darwin.so [40.4 KB]
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matlib.cpython-35.pyc [10.0 KB]
__init__.cpython-35.pyc [5.7 KB]
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add_newdocs.cpython-35.pyc [192.5 KB]
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setup.cpython-35.pyc [982.0 B]
_import_tools.cpython-35.pyc [10.5 KB]
version.cpython-35.pyc [344.0 B]
ctypeslib.cpython-35.pyc [12.6 KB]
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📁 📁 compat
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setup.py [383.0 B]
__init__.py [518.0 B]
_inspect.py [7.6 KB]
py3k.py [3.7 KB]
📁 📁 fft
📁 📁 tests
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setup.py [569.0 B]
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info.py [7.2 KB]
fftpack_lite.cpython-35m-darwin.so [104.5 KB]
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📁 📁 core
📁 📁 lib
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cversions.py [428.0 B]
multiarray.cpython-35m-darwin.so [4.2 MB]
generate_numpy_api.py [7.5 KB]
test_rational.cpython-35m-darwin.so [122.4 KB]
records.py [29.6 KB]
operand_flag_tests.cpython-35m-darwin.so [26.1 KB]
shape_base.py [9.6 KB]
function_base.py [12.2 KB]
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fromnumeric.py [98.9 KB]
defchararray.py [68.9 KB]
umath.cpython-35m-darwin.so [2.0 MB]
struct_ufunc_test.cpython-35m-darwin.so [26.2 KB]
numerictypes.py [29.1 KB]
multiarray_tests.cpython-35m-darwin.so [118.6 KB]
arrayprint.py [27.4 KB]
memmap.py [11.5 KB]
setup_common.py [15.0 KB]
_dummy.cpython-35m-darwin.so [24.7 KB]
numeric.py [93.6 KB]
getlimits.py [10.0 KB]
einsumfunc.py [35.7 KB]
_internal.py [18.4 KB]
setup.py [41.5 KB]
umath_tests.cpython-35m-darwin.so [48.8 KB]
info.py [4.7 KB]
machar.py [10.9 KB]
__init__.py [3.0 KB]
📁 📁 testing
📁 📁 tests
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utils.py [77.4 KB]
__init__.py [486.0 B]
print_coercion_tables.py [2.7 KB]
setup.py [657.0 B]
decorators.py [8.1 KB]
📁 📁 ma
📁 📁 __pycache__
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version.py [394.0 B]
timer_comparison.py [15.7 KB]
setup.py [442.0 B]
testutils.py [10.5 KB]
bench.py [4.9 KB]
extras.py [57.9 KB]
__init__.py [1.5 KB]
mrecords.py [27.6 KB]
core.py [251.4 KB]
📁 📁 f2py
📁 📁 src
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setup.py [3.9 KB]
__main__.py [766.0 B]
diagnose.py [5.3 KB]
cfuncs.py [43.6 KB]
__init__.py [2.1 KB]
info.py [142.0 B]
f2py2e.py [23.0 KB]
f2py_testing.py [1.5 KB]
capi_maps.py [31.7 KB]
auxfuncs.py [22.1 KB]
func2subr.py [9.3 KB]
rules.py [58.6 KB]
common_rules.py [5.1 KB]
use_rules.py [3.7 KB]
f90mod_rules.py [9.9 KB]
cb_rules.py [22.3 KB]
__version__.py [264.0 B]
crackfortran.py [128.5 KB]
📁 📁 random
📁 📁 tests
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mtrand.cpython-35m-darwin.so [1.9 MB]
randomkit.h [6.9 KB]
setup.py [2.3 KB]
info.py [5.2 KB]
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test_numpy_version.py [740.0 B]
test_scripts.py [3.1 KB]
test_warnings.py [2.7 KB]
test_ctypeslib.py [4.5 KB]
test_matlib.py [1.6 KB]
test_reloading.py [1.0 KB]
version.py [306.0 B]
__config__.py [1.4 KB]
matlib.py [9.7 KB]
ctypeslib.py [14.8 KB]
_distributor_init.py [341.0 B]
add_newdocs.py [227.3 KB]
setup.py [948.0 B]
_globals.py [1.9 KB]
_import_tools.py [13.3 KB]
__init__.py [6.3 KB]
dual.py [1.9 KB]
📁 📁 python_dateutil-2.6.0.dist-info
top_level.txt [10.0 B]
WHEEL [116.0 B]
INSTALLER [5.0 B]
DESCRIPTION.rst [122.0 B]
RECORD [2.4 KB]
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📁 📁 matplotlib
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qt4_compat.py [411.0 B]
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backend_mixed.py [5.6 KB]
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qt_compat.py [7.3 KB]
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tkagg.py [1.3 KB]
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📁 📁 tri
📁 📁 __pycache__
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trifinder.py [3.6 KB]
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triplot.py [3.1 KB]
triangulation.py [8.4 KB]
tripcolor.py [5.9 KB]
triinterpolate.py [66.4 KB]
trirefine.py [14.5 KB]
tritools.py [12.9 KB]
📁 📁 delaunay
📁 📁 __pycache__
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__init__.py [472.0 B]
triangulate.py [10.2 KB]
interpolate.py [7.3 KB]
testfuncs.py [21.2 KB]
📁 📁 mpl-data
📁 📁 images
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📁 📁 testing
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disable_internet.py [4.9 KB]
compare.py [13.5 KB]
noseclasses.py [2.2 KB]
__init__.py [3.8 KB]
exceptions.py [407.0 B]
decorators.py [16.3 KB]
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quiver.cpython-35.pyc [36.3 KB]
gridspec.cpython-35.pyc [15.0 KB]
__init__.cpython-35.pyc [53.3 KB]
legend_handler.cpython-35.pyc [19.6 KB]
widgets.cpython-35.pyc [65.5 KB]
bezier.cpython-35.pyc [12.2 KB]
figure.cpython-35.pyc [55.7 KB]
tight_layout.cpython-35.pyc [9.6 KB]
rcsetup.cpython-35.pyc [37.6 KB]
hatch.cpython-35.pyc [8.3 KB]
patheffects.cpython-35.pyc [13.1 KB]
mlab.cpython-35.pyc [114.7 KB]
ticker.cpython-35.pyc [72.5 KB]
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colors.cpython-35.pyc [60.7 KB]
stackplot.cpython-35.pyc [3.8 KB]
units.cpython-35.pyc [5.8 KB]
cm.cpython-35.pyc [11.7 KB]
container.cpython-35.pyc [4.7 KB]
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offsetbox.cpython-35.pyc [53.9 KB]
animation.cpython-35.pyc [45.9 KB]
docstring.cpython-35.pyc [4.8 KB]
streamplot.cpython-35.pyc [18.8 KB]
fontconfig_pattern.cpython-35.pyc [6.0 KB]
table.cpython-35.pyc [17.8 KB]
patches.cpython-35.pyc [134.2 KB]
markers.cpython-35.pyc [29.8 KB]
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collections.cpython-35.pyc [63.4 KB]
transforms.cpython-35.pyc [95.1 KB]
type1font.cpython-35.pyc [10.8 KB]
texmanager.cpython-35.pyc [19.2 KB]
blocking_input.cpython-35.pyc [12.1 KB]
backend_tools.cpython-35.pyc [28.8 KB]
colorbar.cpython-35.pyc [40.7 KB]
sankey.cpython-35.pyc [25.9 KB]
artist.cpython-35.pyc [46.4 KB]
legend.cpython-35.pyc [27.9 KB]
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backend_bases.cpython-35.pyc [102.3 KB]
text.cpython-35.pyc [70.6 KB]
dviread.cpython-35.pyc [32.4 KB]
backend_managers.cpython-35.pyc [11.5 KB]
_pylab_helpers.cpython-35.pyc [4.3 KB]
scale.cpython-35.pyc [20.0 KB]
spines.cpython-35.pyc [13.7 KB]
font_manager.cpython-35.pyc [39.4 KB]
textpath.cpython-35.pyc [13.5 KB]
cbook.cpython-35.pyc [83.0 KB]
pyplot.cpython-35.pyc [109.8 KB]
tight_bbox.cpython-35.pyc [2.7 KB]
pylab.cpython-35.pyc [11.3 KB]
image.cpython-35.pyc [43.5 KB]
afm.cpython-35.pyc [16.0 KB]
contour.cpython-35.pyc [52.8 KB]
dates.cpython-35.pyc [48.3 KB]
mathtext.cpython-35.pyc [102.3 KB]
finance.cpython-35.pyc [38.7 KB]
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lines.cpython-35.pyc [45.1 KB]
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geo.py [22.1 KB]
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📁 📁 tests
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test_sankey.py [469.0 B]
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test_arrow_patches.py [4.3 KB]
test_bbox_tight.py [3.6 KB]
cmr10.pfb [34.9 KB]
test_transforms.py [22.7 KB]
test_mathtext.py [12.0 KB]
test_offsetbox.py [2.8 KB]
test_gridspec.py [709.0 B]
test_labeled_data_unpacking.py [17.0 KB]
test_style.py [4.7 KB]
test_tightlayout.py [8.2 KB]
test_legend.py [12.0 KB]
test_type1font.py [2.3 KB]
test_streamplot.py [2.1 KB]
test_simplification.py [7.7 KB]
test_texmanager.py [590.0 B]
test_backend_qt5.py [4.3 KB]
test_rcparams.py [15.2 KB]
test_axes.py [157.8 KB]
test_artist.py [8.1 KB]
__init__.py [1.3 KB]
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test_coding_standards.py [13.2 KB]
test_path.py [6.0 KB]
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test_rcparams.rc [77.0 B]
test_cbook.py [16.4 KB]
test_dates.py [17.5 KB]
test_animation.py [4.3 KB]
test_dviread.py [1.8 KB]
test_ticker.py [19.3 KB]
test_subplots.py [4.8 KB]
test_ttconv.py [811.0 B]
test_cycles.py [8.1 KB]
test_contour.py [8.4 KB]
test_pickle.py [8.5 KB]
test_container.py [321.0 B]
test_scale.py [1.4 KB]
test_widgets.py [8.5 KB]
test_skew.py [7.3 KB]
test_text.py [12.8 KB]
test_basic.py [1.6 KB]
test_delaunay.py [7.1 KB]
test_mlab.py [122.3 KB]
test_table.py [3.9 KB]
test_figure.py [6.9 KB]
test_backend_svg.py [5.5 KB]
test_backend_pgf.py [6.2 KB]
test_backend_ps.py [5.0 KB]
test_units.py [1.7 KB]
test_font_manager.py [1.3 KB]
test_patches.py [10.7 KB]
test_lines.py [5.5 KB]
test_colorbar.py [11.4 KB]
test_patheffects.py [6.0 KB]
test_compare_images.py [3.9 KB]
test_collections.py [21.6 KB]
test_afm.py [458.0 B]
test_image.py [24.8 KB]
test_agg.py [9.6 KB]
test_png.py [1.4 KB]
test_utf32_be_rcparams.rc [56.0 B]
mpltest.ttf [2.2 KB]
test_triangulation.py [42.2 KB]
test_backend_qt4.py [4.4 KB]
📁 📁 compat
📁 📁 __pycache__
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__init__.py
subprocess.py [1.8 KB]
📁 📁 .dylibs
libz.1.2.10.dylib [243.6 KB]
libpng16.16.dylib [547.3 KB]
patheffects.py [14.3 KB]
_path.cpython-35m-darwin.so [416.1 KB]
docstring.py [4.0 KB]
pylab.py [10.8 KB]
contour.py [69.1 KB]
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streamplot.py [20.8 KB]
gridspec.py [16.2 KB]
_cm.py [67.7 KB]
dates.py [52.7 KB]
colors.py [67.1 KB]
offsetbox.py [55.5 KB]
image.py [52.2 KB]
type1font.py [12.5 KB]
__init__.py [67.4 KB]
tight_bbox.py [2.6 KB]
ticker.py [79.5 KB]
artist.py [48.2 KB]
animation.py [59.4 KB]
container.py [3.6 KB]
_cntr.cpython-35m-darwin.so [56.7 KB]
spines.py [19.3 KB]
patches.py [152.3 KB]
markers.py [32.6 KB]
text.py [83.2 KB]
hatch.py [7.2 KB]
_cm_listed.py [49.7 KB]
_pylab_helpers.py [4.0 KB]
scale.py [17.8 KB]
ttconv.cpython-35m-darwin.so [147.5 KB]
_delaunay.cpython-35m-darwin.so [164.5 KB]
tight_layout.py [13.3 KB]
backend_tools.py [28.6 KB]
backend_managers.py [12.1 KB]
texmanager.py [25.6 KB]
_color_data.py [35.2 KB]
_contour.cpython-35m-darwin.so [159.5 KB]
_qhull.cpython-35m-darwin.so [868.7 KB]
ft2font.cpython-35m-darwin.so [1.8 MB]
_mathtext_data.py [90.0 KB]
fontconfig_pattern.py [6.6 KB]
stackplot.py [4.3 KB]
dviread.py [33.5 KB]
legend.py [39.1 KB]
mlab.py [124.6 KB]
backend_bases.py [112.1 KB]
transforms.py [97.3 KB]
widgets.py [74.1 KB]
sankey.py [40.9 KB]
cbook.py [84.6 KB]
collections.py [67.8 KB]
_image.cpython-35m-darwin.so [691.3 KB]
textpath.py [16.8 KB]
figure.py [63.1 KB]
units.py [6.0 KB]
_version.py [492.0 B]
path.py [38.2 KB]
finance.py [43.3 KB]
blocking_input.py [11.9 KB]
_tri.cpython-35m-darwin.so [282.9 KB]
pyplot.py [135.7 KB]
afm.py [16.6 KB]
axis.py [85.4 KB]
bezier.py [15.9 KB]
colorbar.py [50.9 KB]
font_manager.py [47.5 KB]
cm.py [12.3 KB]
mathtext.py [122.7 KB]
lines.py [54.0 KB]
table.py [20.7 KB]
quiver.py [46.0 KB]
rcsetup.py [55.1 KB]
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📁 📁 pip
📁 📁 models
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index.py [503.0 B]
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encoding.py [1002.0 B]
glibc.py [2.9 KB]
build.py [1.3 KB]
filesystem.py [927.0 B]
deprecation.py [2.3 KB]
ui.py [11.7 KB]
__init__.py [27.4 KB]
logging.py [3.4 KB]
setuptools_build.py [286.0 B]
📁 📁 commands
📁 📁 __pycache__
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show.py [5.9 KB]
help.py [1017.0 B]
uninstall.py [2.9 KB]
download.py [7.8 KB]
check.py [1.4 KB]
install.py [17.4 KB]
freeze.py [2.9 KB]
search.py [4.5 KB]
list.py [11.4 KB]
wheel.py [7.8 KB]
completion.py [2.5 KB]
hash.py [1.6 KB]
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📁 📁 compat
📁 📁 __pycache__
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dictconfig.py [23.1 KB]
__init__.py [4.7 KB]
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status_codes.cpython-35.pyc [406.0 B]
pep425tags.cpython-35.pyc [8.1 KB]
cmdoptions.cpython-35.pyc [13.6 KB]
wheel.cpython-35.pyc [23.2 KB]
__init__.cpython-35.pyc [9.1 KB]
locations.cpython-35.pyc [4.2 KB]
baseparser.cpython-35.pyc [9.8 KB]
download.cpython-35.pyc [21.8 KB]
basecommand.cpython-35.pyc [7.8 KB]
__main__.cpython-35.pyc [470.0 B]
index.cpython-35.pyc [31.9 KB]
exceptions.cpython-35.pyc [10.8 KB]
📁 📁 operations
📁 📁 __pycache__
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check.py [1.6 KB]
__init__.py
freeze.py [5.2 KB]
📁 📁 vcs
📁 📁 __pycache__
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subversion.py [9.4 KB]
mercurial.py [3.5 KB]
bazaar.py [3.8 KB]
__init__.py [12.4 KB]
git.py [11.2 KB]
📁 📁 _vendor
📁 📁 distlib
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📁 📁 webencodings
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📁 📁 __pycache__
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📁 📁 packaging
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📁 📁 pkg_resources
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📁 📁 progress
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📁 📁 requests
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📁 📁 lockfile
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📁 📁 colorama
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📁 📁 cachecontrol
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📁 📁 html5lib
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re-vendor.py [807.0 B]
appdirs.py [22.4 KB]
ordereddict.py [4.1 KB]
six.py [30.2 KB]
pyparsing.py [224.5 KB]
ipaddress.py [80.7 KB]
retrying.py [10.0 KB]
__init__.py [4.7 KB]
distro.py [38.5 KB]
📁 📁 req
📁 📁 __pycache__
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__init__.py [286.0 B]
req_uninstall.py [6.9 KB]
req_install.py [46.6 KB]
req_file.py [12.0 KB]
req_set.py [34.4 KB]
basecommand.py [12.0 KB]
index.py [40.1 KB]
wheel.py [32.1 KB]
download.py [32.3 KB]
pep425tags.py [11.0 KB]
__init__.py [11.4 KB]
locations.py [5.7 KB]
baseparser.py [10.5 KB]
exceptions.py [8.2 KB]
cmdoptions.py [16.7 KB]
__main__.py [603.0 B]
status_codes.py [164.0 B]
📁 📁 sklearn
📁 📁 linear_model
📁 📁 __pycache__
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📁 📁 tests
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omp.py [32.4 KB]
base.py [22.0 KB]
randomized_l1.py [24.9 KB]
least_angle.py [57.4 KB]
__init__.py [3.1 KB]
sgd_fast.cpython-35m-darwin.so [320.6 KB]
sag.py [11.3 KB]
stochastic_gradient.py [51.1 KB]
perceptron.py [3.9 KB]
theil_sen.py [14.4 KB]
ridge.py [51.5 KB]
bayes.py [16.2 KB]
sag_fast.cpython-35m-darwin.so [227.6 KB]
logistic.py [68.3 KB]
coordinate_descent.py [82.2 KB]
huber.py [10.3 KB]
setup.py [1.7 KB]
passive_aggressive.py [10.6 KB]
cd_fast.cpython-35m-darwin.so [758.7 KB]
ransac.py [17.3 KB]
📁 📁 __pycache__
grid_search.cpython-35.pyc [36.4 KB]
cross_validation.cpython-35.pyc [67.1 KB]
exceptions.cpython-35.pyc [5.8 KB]
pipeline.cpython-35.pyc [28.3 KB]
multiclass.cpython-35.pyc [28.4 KB]
kernel_approximation.cpython-35.pyc [16.6 KB]
dummy.cpython-35.pyc [15.2 KB]
qda.cpython-35.pyc [911.0 B]
kernel_ridge.cpython-35.pyc [6.6 KB]
calibration.cpython-35.pyc [18.0 KB]
naive_bayes.cpython-35.pyc [26.3 KB]
base.cpython-35.pyc [16.9 KB]
discriminant_analysis.cpython-35.pyc [26.0 KB]
isotonic.cpython-35.pyc [12.5 KB]
lda.cpython-35.pyc [898.0 B]
setup.cpython-35.pyc [2.3 KB]
learning_curve.cpython-35.pyc [13.7 KB]
random_projection.cpython-35.pyc [20.0 KB]
multioutput.cpython-35.pyc [9.6 KB]
__init__.cpython-35.pyc [2.3 KB]
📁 📁 feature_selection
📁 📁 tests
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📁 📁 __pycache__
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rfe.py [16.7 KB]
base.py [4.2 KB]
from_model.py [9.5 KB]
__init__.py [1.3 KB]
univariate_selection.py [25.6 KB]
variance_threshold.py [2.6 KB]
mutual_info_.py [16.2 KB]
📁 📁 semi_supervised
📁 📁 __pycache__
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📁 📁 tests
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__init__.py [381.0 B]
label_propagation.py [16.0 KB]
📁 📁 externals
📁 📁 joblib
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📁 📁 __pycache__
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funcsigs.py [30.1 KB]
__init__.py [47.0 B]
test_externals_setup.py [251.0 B]
odict.py [9.2 KB]
setup.py [265.0 B]
six.py [20.7 KB]
📁 📁 covariance
📁 📁 tests
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📁 📁 __pycache__
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shrunk_covariance_.py [18.8 KB]
graph_lasso_.py [26.5 KB]
outlier_detection.py [6.5 KB]
__init__.py [1.2 KB]
robust_covariance.py [29.6 KB]
empirical_covariance_.py [9.2 KB]
📁 📁 manifold
📁 📁 __pycache__
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📁 📁 tests
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_barnes_hut_tsne.cpython-35m-darwin.so [413.4 KB]
mds.py [15.2 KB]
locally_linear.py [25.9 KB]
__init__.py [459.0 B]
t_sne.py [35.5 KB]
isomap.py [7.6 KB]
_utils.cpython-35m-darwin.so [106.4 KB]
setup.py [1.3 KB]
spectral_embedding_.py [20.8 KB]
📁 📁 svm
📁 📁 tests
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📁 📁 __pycache__
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setup.py [3.2 KB]
classes.py [41.2 KB]
bounds.py [2.7 KB]
liblinear.cpython-35m-darwin.so [274.7 KB]
libsvm.cpython-35m-darwin.so [712.8 KB]
libsvm_sparse.cpython-35m-darwin.so [633.4 KB]
base.py [35.7 KB]
__init__.py [834.0 B]
📁 📁 decomposition
📁 📁 __pycache__
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📁 📁 tests
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truncated_svd.py [7.9 KB]
cdnmf_fast.cpython-35m-darwin.so [283.4 KB]
online_lda.py [27.2 KB]
_online_lda.cpython-35m-darwin.so [121.8 KB]
fastica_.py [18.4 KB]
__init__.py [1.5 KB]
factor_analysis.py [12.0 KB]
dict_learning.py [46.3 KB]
pca.py [27.3 KB]
kernel_pca.py [11.0 KB]
nmf.py [46.6 KB]
incremental_pca.py [10.5 KB]
sparse_pca.py [9.5 KB]
base.py [5.7 KB]
setup.py [872.0 B]
📁 📁 feature_extraction
📁 📁 __pycache__
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📁 📁 tests
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text.py [52.2 KB]
dict_vectorizer.py [12.6 KB]
_hashing.cpython-35m-darwin.so [118.8 KB]
image.py [17.7 KB]
stop_words.py [3.2 KB]
hashing.py [6.2 KB]
__init__.py [437.0 B]
setup.py [559.0 B]
📁 📁 _build_utils
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__init__.py [2.7 KB]
📁 📁 gaussian_process
📁 📁 tests
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📁 📁 __pycache__
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__init__.py [746.0 B]
correlation_models.py [7.8 KB]
regression_models.py [2.2 KB]
gpc.py [31.6 KB]
gaussian_process.py [35.1 KB]
kernels.py [67.4 KB]
gpr.py [18.7 KB]
📁 📁 model_selection
📁 📁 tests
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📁 📁 __pycache__
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_search.py [48.7 KB]
_validation.py [37.0 KB]
__init__.py [1.7 KB]
_split.py [63.4 KB]
📁 📁 neural_network
📁 📁 __pycache__
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📁 📁 tests
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rbm.py [12.4 KB]
_base.py [6.9 KB]
__init__.py [343.0 B]
multilayer_perceptron.py [50.1 KB]
_stochastic_optimizers.py [8.9 KB]
📁 📁 neighbors
📁 📁 tests
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📁 📁 __pycache__
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nearest_centroid.py [7.4 KB]
setup.py [1.3 KB]
kde.py [8.0 KB]
typedefs.cpython-35m-darwin.so [57.8 KB]
kd_tree.cpython-35m-darwin.so [981.3 KB]
regression.py [11.0 KB]
approximate.py [22.4 KB]
classification.py [14.4 KB]
base.py [30.7 KB]
dist_metrics.cpython-35m-darwin.so [633.4 KB]
ball_tree.cpython-35m-darwin.so [1008.2 KB]
unsupervised.py [4.8 KB]
__init__.py [985.0 B]
graph.py [6.7 KB]
📁 📁 tests
📁 📁 __pycache__
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test_check_build.py [302.0 B]
test_base.py [11.4 KB]
test_metaestimators.py [5.0 KB]
test_calibration.py [13.0 KB]
test_pipeline.py [25.8 KB]
test_learning_curve.py [11.9 KB]
test_kernel_ridge.py [3.0 KB]
__init__.py
test_grid_search.py [28.9 KB]
test_isotonic.py [14.2 KB]
test_kernel_approximation.py [7.6 KB]
test_multioutput.py [6.6 KB]
test_random_projection.py [14.1 KB]
test_multiclass.py [26.3 KB]
test_common.py [6.0 KB]
test_discriminant_analysis.py [13.1 KB]
test_cross_validation.py [48.0 KB]
test_dummy.py [17.9 KB]
test_init.py [533.0 B]
test_naive_bayes.py [20.0 KB]
📁 📁 metrics
📁 📁 __pycache__
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📁 📁 tests
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📁 📁 cluster
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__init__.py [3.6 KB]
scorer.py [16.5 KB]
classification.py [72.1 KB]
pairwise.py [47.0 KB]
setup.py [1.1 KB]
regression.py [17.7 KB]
base.py [4.6 KB]
ranking.py [27.8 KB]
pairwise_fast.cpython-35m-darwin.so [450.6 KB]
📁 📁 ensemble
📁 📁 tests
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📁 📁 __pycache__
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bagging.py [38.3 KB]
iforest.py [11.9 KB]
voting_classifier.py [9.9 KB]
gradient_boosting.py [73.4 KB]
_gradient_boosting.cpython-35m-darwin.so [371.1 KB]
__init__.py [1.4 KB]
base.py [5.2 KB]
forest.py [68.0 KB]
partial_dependence.py [15.5 KB]
weight_boosting.py [41.0 KB]
setup.py [535.0 B]
📁 📁 preprocessing
📁 📁 tests
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📁 📁 __pycache__
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_function_transformer.py [3.5 KB]
imputation.py [14.3 KB]
label.py [27.6 KB]
__init__.py [1.3 KB]
data.py [70.7 KB]
📁 📁 mixture
📁 📁 tests
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📁 📁 __pycache__
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base.py [16.7 KB]
bayesian_mixture.py [32.7 KB]
__init__.py [707.0 B]
gaussian_mixture.py [27.6 KB]
gmm.py [32.4 KB]
dpgmm.py [35.8 KB]
📁 📁 tree
📁 📁 tests
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📁 📁 __pycache__
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__init__.py [454.0 B]
export.py [16.9 KB]
_tree.cpython-35m-darwin.so [438.5 KB]
_criterion.cpython-35m-darwin.so [201.2 KB]
tree.py [44.7 KB]
_utils.cpython-35m-darwin.so [146.5 KB]
_splitter.cpython-35m-darwin.so [218.6 KB]
setup.py [1.4 KB]
📁 📁 __check_build
📁 📁 __pycache__
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__init__.py [1.7 KB]
_check_build.cpython-35m-darwin.so [41.0 KB]
setup.py [586.0 B]
📁 📁 datasets
📁 📁 data
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📁 📁 images
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📁 📁 __pycache__
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📁 📁 tests
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📁 📁 descr
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base.py [26.1 KB]
species_distributions.py [7.9 KB]
rcv1.py [8.3 KB]
__init__.py [3.8 KB]
mlcomp.py [3.9 KB]
california_housing.py [4.0 KB]
_svmlight_format.cpython-35m-darwin.so [150.9 KB]
twenty_newsgroups.py [13.8 KB]
samples_generator.py [56.8 KB]
kddcup99.py [13.2 KB]
setup.py [715.0 B]
olivetti_faces.py [4.7 KB]
svmlight_format.py [16.8 KB]
mldata.py [7.9 KB]
lfw.py [20.1 KB]
covtype.py [3.5 KB]
📁 📁 cross_decomposition
📁 📁 tests
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📁 📁 __pycache__
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cca_.py [3.2 KB]
__init__.py [42.0 B]
pls_.py [30.9 KB]
📁 📁 utils
📁 📁 tests
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📁 📁 sparsetools
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📁 📁 __pycache__
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weight_vector.cpython-35m-darwin.so [99.4 KB]
metaestimators.py [4.3 KB]
arrayfuncs.cpython-35m-darwin.so [87.8 KB]
sparsefuncs.py [13.6 KB]
graph.py [6.3 KB]
extmath.py [27.3 KB]
_random.cpython-35m-darwin.so [169.1 KB]
testing.py [28.4 KB]
arpack.py [73.2 KB]
setup.py [3.0 KB]
bench.py [387.0 B]
sparsefuncs_fast.cpython-35m-darwin.so [971.9 KB]
graph_shortest_path.cpython-35m-darwin.so [193.3 KB]
fixes.py [14.0 KB]
estimator_checks.py [60.3 KB]
seq_dataset.cpython-35m-darwin.so [175.4 KB]
class_weight.py [7.4 KB]
murmurhash.cpython-35m-darwin.so [167.7 KB]
stats.py [1.7 KB]
deprecation.py [2.4 KB]
validation.py [26.1 KB]
_logistic_sigmoid.cpython-35m-darwin.so [84.7 KB]
lgamma.cpython-35m-darwin.so [42.2 KB]
optimize.py [5.8 KB]
fast_dict.cpython-35m-darwin.so [409.6 KB]
mocking.py [2.2 KB]
__init__.py [13.6 KB]
multiclass.py [14.8 KB]
_scipy_sparse_lsqr_backport.py [18.1 KB]
random.py [10.6 KB]
linear_assignment_.py [9.6 KB]
📁 📁 cluster
📁 📁 tests
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📁 📁 __pycache__
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dbscan_.py [12.3 KB]
__init__.py [1.2 KB]
affinity_propagation_.py [10.8 KB]
_k_means_elkan.cpython-35m-darwin.so [643.6 KB]
mean_shift_.py [15.6 KB]
k_means_.py [59.7 KB]
bicluster.py [19.9 KB]
hierarchical.py [33.1 KB]
_hierarchical.cpython-35m-darwin.so [421.0 KB]
setup.py [1.9 KB]
_dbscan_inner.cpython-35m-darwin.so [106.1 KB]
spectral.py [18.6 KB]
_feature_agglomeration.py [2.3 KB]
_k_means.cpython-35m-darwin.so [957.5 KB]
birch.py [22.8 KB]
cross_validation.py [72.4 KB]
multiclass.py [27.5 KB]
dummy.py [17.4 KB]
__init__.py [3.1 KB]
setup.py [3.2 KB]
kernel_approximation.py [18.1 KB]
calibration.py [20.1 KB]
random_projection.py [22.2 KB]
pipeline.py [28.3 KB]
base.py [19.9 KB]
grid_search.py [39.6 KB]
lda.py [591.0 B]
learning_curve.py [15.4 KB]
naive_bayes.py [30.7 KB]
_isotonic.cpython-35m-darwin.so [337.9 KB]
discriminant_analysis.py [28.8 KB]
kernel_ridge.py [6.6 KB]
qda.py [604.0 B]
exceptions.py [5.0 KB]
isotonic.py [14.2 KB]
multioutput.py [9.1 KB]
📁 📁 mpl_toolkits
📁 📁 tests
📁 📁 baseline_images
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📁 📁 __pycache__
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test_mplot3d.py [11.7 KB]
__init__.py [2.3 KB]
test_axes_grid1.py [4.3 KB]
test_axes_grid.py [1.6 KB]
📁 📁 axisartist
📁 📁 __pycache__
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grid_helper_curvelinear.py [26.2 KB]
clip_path.py [4.8 KB]
axisline_style.py [5.3 KB]
grid_finder.py [12.1 KB]
axis_artist.py [53.1 KB]
axislines.py [26.4 KB]
angle_helper.py [14.9 KB]
__init__.py [907.0 B]
floating_axes.py [23.0 KB]
📁 📁 mplot3d
📁 📁 __pycache__
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axes3d.py [98.0 KB]
axis3d.py [19.4 KB]
art3d.py [25.6 KB]
__init__.py [155.0 B]
proj3d.py [7.1 KB]
📁 📁 axes_grid1
📁 📁 __pycache__
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colorbar.py [28.0 KB]
axes_size.py [9.1 KB]
axes_rgb.py [7.0 KB]
axes_divider.py [31.4 KB]
__init__.py [406.0 B]
parasite_axes.py [15.6 KB]
mpl_axes.py [5.1 KB]
axes_grid.py [29.5 KB]
anchored_artists.py [12.9 KB]
inset_locator.py [18.8 KB]
📁 📁 axes_grid
📁 📁 __pycache__
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axis_artist.py [178.0 B]
floating_axes.py [180.0 B]
axes_divider.py [379.0 B]
clip_path.py [176.0 B]
grid_finder.py [178.0 B]
angle_helper.py [179.0 B]
grid_helper_curvelinear.py [190.0 B]
parasite_axes.py [593.0 B]
axes_grid.py [986.0 B]
colorbar.py [176.0 B]
inset_locator.py [347.0 B]
anchored_artists.py [424.0 B]
axisline_style.py [181.0 B]
__init__.py [352.0 B]
axes_rgb.py [412.0 B]
axislines.py [176.0 B]
axes_size.py [176.0 B]
📁 📁 __pycache__
gtktools.cpython-35.pyc [18.0 KB]
exceltools.cpython-35.pyc [3.5 KB]
gtktools.py [19.4 KB]
exceltools.py [4.0 KB]
📁 📁 pytz
📁 📁 zoneinfo
📁 📁 Atlantic
…（已达最大深度 10 层，子目录未展开）
📁 📁 Antarctica
…（已达最大深度 10 层，子目录未展开）
📁 📁 Mexico
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📁 📁 Chile
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📁 📁 US
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📁 📁 Indian
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📁 📁 Africa
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📁 📁 Arctic
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📁 📁 Brazil
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📁 📁 Canada
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📁 📁 Europe
…（已达最大深度 10 层，子目录未展开）
📁 📁 America
…（已达最大深度 10 层，子目录未展开）
UTC [127.0 B]
UCT [127.0 B]
W-SU [1.5 KB]
Universal [127.0 B]
Hongkong [1.2 KB]
localtime [127.0 B]
ROK [531.0 B]
iso3166.tab [4.6 KB]
MET [2.1 KB]
Cuba [2.4 KB]
CET [2.1 KB]
MST7MDT [2.2 KB]
CST6CDT [2.2 KB]
Jamaica [507.0 B]
Japan [318.0 B]
GMT+0 [127.0 B]
PRC [414.0 B]
Factory [148.0 B]
Greenwich [127.0 B]
Zulu [127.0 B]
GMT0 [127.0 B]
Israel [2.2 KB]
PST8PDT [2.2 KB]
posixrules [3.5 KB]
Singapore [424.0 B]
Iran [1.7 KB]
EST [127.0 B]
Libya [655.0 B]
MST [127.0 B]
zone1970.tab [17.7 KB]
GMT [127.0 B]
GMT-0 [127.0 B]
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zone.tab [19.1 KB]
Iceland [1.2 KB]
GB [3.6 KB]
HST [128.0 B]
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Kwajalein [259.0 B]
Portugal [3.4 KB]
ROC [790.0 B]
NZ-CHAT [2.0 KB]
Egypt [1.9 KB]
Poland [2.6 KB]
EET [1.8 KB]
NZ [2.4 KB]
Eire [3.5 KB]
📁 📁 __pycache__
tzinfo.cpython-35.pyc [15.3 KB]
lazy.cpython-35.pyc [5.8 KB]
reference.cpython-35.pyc [4.1 KB]
__init__.cpython-35.pyc [28.6 KB]
exceptions.cpython-35.pyc [1.9 KB]
tzfile.cpython-35.pyc [3.5 KB]
lazy.py [5.3 KB]
tzfile.py [4.9 KB]
reference.py [3.7 KB]
exceptions.py [1.3 KB]
tzinfo.py [19.5 KB]
__init__.py [35.1 KB]
📁 📁 pyparsing-2.2.0.dist-info
INSTALLER [5.0 B]
WHEEL [116.0 B]
RECORD [706.0 B]
top_level.txt [11.0 B]
DESCRIPTION.rst [13.0 B]
metadata.json [1000.0 B]
METADATA [936.0 B]
📁 📁 setuptools-35.0.2.dist-info
WHEEL [116.0 B]
zip-safe [2.0 B]
entry_points.txt [2.9 KB]
DESCRIPTION.rst [926.0 B]
metadata.json [4.8 KB]
INSTALLER [5.0 B]
top_level.txt [41.0 B]
dependency_links.txt [241.0 B]
METADATA [2.4 KB]
RECORD [8.7 KB]
📁 📁 wheel-0.29.0.dist-info
DESCRIPTION.rst [9.9 KB]
METADATA [11.1 KB]
entry_points.txt [111.0 B]
WHEEL [116.0 B]
RECORD [5.6 KB]
metadata.json [1.6 KB]
INSTALLER [5.0 B]
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LICENSE.txt [1.1 KB]
📁 📁 pandas-0.20.1.dist-info
METADATA [4.4 KB]
INSTALLER [5.0 B]
top_level.txt [8.0 B]
metadata.json [1.1 KB]
DESCRIPTION.rst [3.5 KB]
WHEEL [258.0 B]
RECORD [94.8 KB]
📁 📁 cycler-0.10.0.dist-info
DESCRIPTION.rst [13.0 B]
INSTALLER [5.0 B]
RECORD [683.0 B]
WHEEL [116.0 B]
top_level.txt [8.0 B]
metadata.json [875.0 B]
METADATA [747.0 B]
📁 📁 scikit_learn-0.18.1.dist-info
INSTALLER [5.0 B]
top_level.txt [9.0 B]
metadata.json [1.2 KB]
RECORD [69.3 KB]
DESCRIPTION.rst [5.7 KB]
METADATA [6.9 KB]
WHEEL [261.0 B]
📁 📁 appdirs-1.4.3.dist-info
INSTALLER [5.0 B]
metadata.json [1.3 KB]
METADATA [8.8 KB]
RECORD [689.0 B]
WHEEL [116.0 B]
top_level.txt [9.0 B]
DESCRIPTION.rst [7.6 KB]
pylab.py [93.0 B]
matplotlib-2.0.2-py3.5-nspkg.pth [1.1 KB]
pyparsing.py [225.6 KB]
appdirs.py [24.7 KB]
six.py [30.2 KB]
easy_install.py [131.0 B]
cycler.py [16.1 KB]
📁 📁 distutils
📁 📁 __pycache__
__init__.cpython-35.pyc [3.1 KB]
distutils.cfg [234.0 B]
__init__.py [4.0 KB]
📁 📁 __pycache__
base64.cpython-35.pyc [18.0 KB]
token.cpython-35.pyc [3.6 KB]
site.cpython-35.pyc [22.0 KB]
warnings.cpython-35.pyc [12.9 KB]
ntpath.cpython-35.pyc [14.5 KB]
copyreg.cpython-35.pyc [4.5 KB]
os.cpython-35.pyc [30.6 KB]
posixpath.cpython-35.pyc [10.9 KB]
random.cpython-35.pyc [18.6 KB]
tarfile.cpython-35.pyc [67.4 KB]
sre_parse.cpython-35.pyc [21.9 KB]
hashlib.cpython-35.pyc [6.2 KB]
struct.cpython-35.pyc [400.0 B]
heapq.cpython-35.pyc [14.7 KB]
linecache.cpython-35.pyc [4.0 KB]
types.cpython-35.pyc [8.6 KB]
sre_compile.cpython-35.pyc [10.7 KB]
tokenize.cpython-35.pyc [20.0 KB]
stat.cpython-35.pyc [4.1 KB]
weakref.cpython-35.pyc [19.8 KB]
abc.cpython-35.pyc [7.7 KB]
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hmac.cpython-35.pyc [5.1 KB]
fnmatch.cpython-35.pyc [3.1 KB]
locale.cpython-35.pyc [35.7 KB]
tempfile.cpython-35.pyc [23.1 KB]
_collections_abc.cpython-35.pyc [29.0 KB]
__future__.cpython-35.pyc [4.3 KB]
reprlib.cpython-35.pyc [5.9 KB]
functools.cpython-35.pyc [23.1 KB]
codecs.cpython-35.pyc [34.5 KB]
keyword.cpython-35.pyc [1.9 KB]
io.cpython-35.pyc [3.4 KB]
shutil.cpython-35.pyc [32.0 KB]
sre_constants.cpython-35.pyc [5.9 KB]
bisect.cpython-35.pyc [2.8 KB]
re.cpython-35.pyc [14.2 KB]
operator.cpython-35.pyc [14.5 KB]
copy.cpython-35.pyc [8.0 KB]
imp.cpython-35.pyc [10.3 KB]
genericpath.cpython-35.pyc [3.9 KB]
_weakrefset.cpython-35.pyc [8.3 KB]
base64.py [98.0 B]
os.py [94.0 B]
tempfile.py [100.0 B]
shutil.py [98.0 B]
_collections_abc.py [108.0 B]
_dummy_thread.py [105.0 B]
posixpath.py [101.0 B]
collections [100.0 B]
linecache.py [101.0 B]
stat.py [96.0 B]
site.py [27.6 KB]
tokenize.py [100.0 B]
token.py [97.0 B]
orig-prefix.txt [74.0 B]
genericpath.py [103.0 B]
readline.so [131.0 B]
copy.py [96.0 B]
sre_parse.py [101.0 B]
struct.py [98.0 B]
config-3.5m [100.0 B]
functools.py [101.0 B]
heapq.py [97.0 B]
lib-dynload [100.0 B]
io.py [94.0 B]
encodings [98.0 B]
ntpath.py [98.0 B]
hmac.py [96.0 B]
_bootlocale.py [103.0 B]
bisect.py [98.0 B]
copyreg.py [99.0 B]
keyword.py [99.0 B]
reprlib.py [99.0 B]
no-global-site-packages.txt
re.py [94.0 B]
warnings.py [100.0 B]
operator.py [100.0 B]
weakref.py [99.0 B]
__future__.py [102.0 B]
abc.py [95.0 B]
locale.py [98.0 B]
imp.py [95.0 B]
fnmatch.py [99.0 B]
rlcompleter.py [103.0 B]
plat-darwin [100.0 B]
_weakrefset.py [103.0 B]
sre_compile.py [103.0 B]
hashlib.py [99.0 B]
types.py [97.0 B]
importlib [98.0 B]
tarfile.py [99.0 B]
sre_constants.py [105.0 B]
codecs.py [98.0 B]
random.py [98.0 B]
📁 📁 bin
pip [285.0 B]
f2py [854.0 B]
pip3.5 [285.0 B]
pip3 [285.0 B]
wheel [292.0 B]
python3.5 [7.0 B]
activate_this.py [1.1 KB]
activate.fish [2.2 KB]
python [7.0 B]
python-config [2.4 KB]
activate [2.2 KB]
easy_install-3.5 [313.0 B]
easy_install [313.0 B]
activate.csh [1.1 KB]
python3 [12.7 KB]
📁 📁 include
python3.5m [93.0 B]
.Python [81.0 B]
pip-selfcheck.json [60.0 B]
📁 📁 C
bird.py [7.0 KB]
📁 📁 DeepLearningFlappyBird-master
📁 📁 logs_bird
hidden.txt
readout.txt
📁 📁 game
📁 📁 __pycache__
wrapped_flappy_bird.cpython-35.pyc [5.7 KB]
flappy_bird_utils.cpython-35.pyc [2.2 KB]
wrapped_flappy_bird.py [7.9 KB]
flappy_bird_utils.py [3.0 KB]
📁 📁 images
network.png [154.3 KB]
preprocess.png [218.2 KB]
flappy_bird_demp.gif [4.7 MB]
📁 📁 saved_networks
📁 📁 pretrained_model
bird-dqn-policy [10.3 MB]
bird-dqn-2920000.meta [63.9 KB]
bird-dqn-2890000 [10.3 MB]
checkpoint [283.0 B]
bird-dqn-2880000.meta [63.9 KB]
bird-dqn-2880000 [10.3 MB]
bird-dqn-2900000 [10.3 MB]
bird-dqn-2900000.meta [63.9 KB]
bird-dqn-2910000.meta [63.9 KB]
bird-dqn-2920000 [10.3 MB]
bird-dqn-2890000.meta [63.9 KB]
bird-dqn-2910000 [10.3 MB]
📁 📁 assets
📁 📁 audio
hit.ogg [15.3 KB]
wing.wav [29.2 KB]
point.wav [173.3 KB]
point.ogg [12.9 KB]
die.ogg [17.1 KB]
die.wav [190.3 KB]
swoosh.wav [346.3 KB]
hit.wav [94.3 KB]
swoosh.ogg [13.4 KB]
wing.ogg [7.5 KB]
📁 📁 sprites
5.png [2.8 KB]
background-black.png [3.9 KB]
2.png [2.8 KB]
1.png [2.8 KB]
9.png [2.8 KB]
3.png [2.8 KB]
8.png [2.8 KB]
pipe-green.png [4.9 KB]
7.png [2.8 KB]
redbird-midflap.png [2.9 KB]
redbird-upflap.png [2.9 KB]
4.png [2.8 KB]
6.png [2.8 KB]
base.png [664.0 B]
redbird-downflap.png [2.9 KB]
0.png [2.8 KB]
deep_q_network.py [7.3 KB]
README.md [6.2 KB]
📁 📁 DeepLearningTetris
📁 📁 logs_tetris
readout.txt
hidden.txt
📁 📁 game
📁 📁 __pycache__
dummy_game.cpython-35.pyc [1.0 KB]
tetris_fun.cpython-35.pyc [10.7 KB]
tetris_fun.pyc [11.4 KB]
dummy_game.py [1.3 KB]
tetris_fun.py [19.4 KB]
dummy_game.pyc [1.1 KB]
📁 📁 FINAL_EPSILON = 0.01
tetris-dqn-660000.data-00000-of-00001 [10.3 MB]
tetris-dqn-670000.data-00000-of-00001 [10.3 MB]
tetris-dqn-660000.index [1.1 KB]
tetris-dqn-690000.data-00000-of-00001 [10.3 MB]
tetris-dqn-680000.index [1.1 KB]
tetris-dqn-680000.meta [79.7 KB]
tetris-dqn-700000.data-00000-of-00001 [10.3 MB]
tetris-dqn-700000.meta [79.7 KB]
tetris-dqn-670000.index [1.1 KB]
tetris-dqn-670000.meta [79.7 KB]
tetris-dqn-680000.data-00000-of-00001 [10.3 MB]
tetris-dqn-660000.meta [79.7 KB]
tetris-dqn-690000.index [1.1 KB]
tetris-dqn-700000.index [1.1 KB]
checkpoint [289.0 B]
tetris-dqn-690000.meta [79.7 KB]
📁 📁 saved_networks
tetris-dqn-530000.meta [79.7 KB]
tetris-dqn-520000.index [1.1 KB]
tetris-dqn-540000.meta [79.7 KB]
tetris-dqn-520000.data-00000-of-00001 [10.3 MB]
tetris-dqn-520000.meta [79.7 KB]
tetris-dqn-540000.index [1.1 KB]
tetris-dqn-530000.index [1.1 KB]
tetris-dqn-560000.meta [79.7 KB]
tetris-dqn-550000.meta [79.7 KB]
tetris-dqn-560000.data-00000-of-00001 [10.3 MB]
tetris-dqn-550000.index [1.1 KB]
tetris-dqn-560000.index [1.1 KB]
tetris-dqn-550000.data-00000-of-00001 [10.3 MB]
tetris-dqn-540000.data-00000-of-00001 [10.3 MB]
tetris-dqn-530000.data-00000-of-00001 [10.3 MB]
checkpoint [289.0 B]
deep_q_network.py [7.5 KB]
📁 📁 课程数据
📁 📁 聚类
学生月上网时间分布-TestData.txt [51.8 KB]
31省市居民家庭消费水平-city.txt [1.9 KB]
📁 📁 分类
📁 📁 stock
000777.csv [559.3 KB]
B.zip [54.7 MB]
E.zip [50.8 MB]
A.zip [51.1 MB]
D.zip [44.2 MB]
C.zip [33.9 MB]
📁 📁 期末作业
game.zip [10.7 KB]
期末大作业1（程序设计）.txt [850.0 B]
期末大作业2.txt [803.0 B]
data.zip [12.1 MB]
📁 📁 回归
prices.txt [439.0 B]
岭回归.csv [379.4 KB]
📁 📁 强化学习
DeepLearningFlappyBird-master.zip [59.5 MB]
下载地址.txt [52.0 B]
📁 📁 手写数字识别
digits.zip [798.9 KB]
📁 📁 基于聚类的整图分割
bull.jpg [43.4 KB]
person.png [29.0 KB]
📁 📁 课件资料
📁 📁 第二周-机器学习之监督学习
11-提交-监督学习 - 课程导学.pdf [500.3 KB]
14-提交-监督学习 - 3运动状态程序编写.pdf [823.3 KB]
19-提交-监督学习-WS06V01手写识别实例介绍.pdf [358.9 KB]
15-提交-监督学习-上证指数预测涨跌.pdf [658.0 KB]
12-提交-监督学习 - 运动状态实例.pdf [593.9 KB]
20-提交-WS06V02神经网络实现手写识别实例编写.pdf [578.8 KB]
17-提交-多项式回归 房价与房屋尺寸的非线性拟合.pdf [820.5 KB]
18-提交-监督学习-V1监督学习-岭回归.pdf [627.0 KB]
16-提交-线性回归 房价与房屋尺寸关系的线性拟合.pdf [784.7 KB]
13-提交-监督学习 -knn-nb-决策树模型.pdf [685.8 KB]
21-提交-WS06V03KNN实现手写识别实例编写与神经网络实验对比.pdf [538.9 KB]
📁 📁 第一周-机器学习之无监督学习
09-提交-无监督-kmeans实现图像分割.pdf [544.9 KB]
08-提交-无监督-降维-NMF-PCA-图像.pdf [671.6 KB]
05-提交版-无监督-31省消费水平.pdf [653.2 KB]
04-提交版-无监督学习 - 课程导学.pdf [869.9 KB]
07-提交-无监督学习-降维-PCA-鸢尾花.pdf [606.4 KB]
03-提交版-sklearn库中的标准数据集和功能.pdf [623.3 KB]
06-提交版-无监督-DBSCAN-学生上网分析.pdf [1.0 MB]
01-提交版-开篇-书籍&课程介绍.pdf [609.4 KB]
02-提交版-sklearn库的安装.pdf [557.0 KB]
📁 📁 第三周-机器学习之强化学习
26-提交-自主学习程序基本框架介绍.pdf [730.3 KB]
28-提交-项目实战.pdf [757.0 KB]
23-24-提交-强化学习-1.pdf [831.4 KB]
27-提交-相关库的介绍及安装.pdf [466.2 KB]
30-提交-课程小结.pdf [425.9 KB]
25-提交-自主学习Flappy Bird游戏实例介绍.pdf [252.8 KB]
29-提交-训练结果.pdf [208.8 KB]
.gitignore [11.0 B]
Python机器学习说明.zip [1.8 MB]
单元3：基于聚类的整图分割实例-1.mp4 [59.7 MB]
单元8：自主学习Flappy Bird游戏项目分析-3.mp4 [34.8 MB]
单元4：分类-4.mp4 [67.9 MB]
单元8：自主学习Flappy Bird游戏项目分析-1.mp4 [29.1 MB]
【第二周】机器学习之有监督学习-本周课程导学.mp4 [97.4 MB]
单元5：回归-3.mp4 [90.5 MB]
【第一周】机器学习之无监督学习-本周课程导学.mp4 [115.5 MB]
学期课程导学-1.mp4 [77.6 MB]
单元5：回归-2.mp4 [80.3 MB]
单元4：分类-3.mp4 [91.2 MB]
单元1：聚类-1.mp4 [98.8 MB]
单元4：分类-1.mp4 [76.8 MB]
单元2：降维-1.mp4 [76.8 MB]
学期课程导学-2.mp4 [57.2 MB]
单元8：自主学习Flappy Bird游戏项目分析-5.mp4 [18.3 MB]
单元1：聚类-2.mp4 [108.4 MB]
单元8：自主学习Flappy Bird游戏项目分析-4.mp4 [158.3 MB]
学期课程导学-3.mp4 [90.4 MB]
单元7：强化学习.mp4 [120.4 MB]
单元2：降维-2.mp4 [83.7 MB]
单元8：自主学习Flappy Bird游戏项目分析-2.mp4 [124.1 MB]
单元5：回归-1.mp4 [104.1 MB]
单元9：课程总结.mp4 [76.0 MB]
单元6：手写数字识别实例分析-2.mp4 [122.9 MB]
单元6：手写数字识别实例分析-3.mp4 [76.5 MB]
单元4：分类-2.mp4 [132.4 MB]
单元6：手写数字识别实例分析-1.mp4 [55.9 MB]
📁 Python爬虫
Python爬虫说明.zip [1.8 MB]
单元12：实例4：股票数据Scrapy爬虫-2.mp4 [184.9 MB]
网络爬虫课程的未完待续.mp4 [33.3 MB]
单元4：Beautiful Soup库入门-3.mp4 [150.5 MB]
第一周本周课程导学.mp4 [19.1 MB]
单元7：Re(正则表达式)库入门-1.mp4 [73.1 MB]
单元6：实例1：中国大学排名爬虫-3.mp4 [60.4 MB]
单元7：Re(正则表达式)库入门-4.mp4 [57.0 MB]
单元3：Requests库网络爬虫实战（5个实例）-2.mp4 [81.2 MB]
单元6：实例1：中国大学排名爬虫-2.mp4 [158.7 MB]
单元3：Requests库网络爬虫实战（5个实例）-1.mp4 [29.9 MB]
单元10：Scrapy爬虫框架-2.mp4 [83.3 MB]
单元3：Requests库网络爬虫实战（5个实例）-3.mp4 [56.2 MB]
单元1：Requests库入门-4.mp4 [112.0 MB]
单元5：信息组织与提取方法-3.mp4 [49.5 MB]
单元4：Beautiful Soup库入门-1.mp4 [79.1 MB]
单元10：Scrapy爬虫框架-4.mp4 [44.2 MB]
单元5：信息组织与提取方法-5.mp4 [22.4 MB]
单元8：实例2：淘宝商品比价定向爬虫-1.mp4 [66.2 MB]
单元5：信息组织与提取方法-4.mp4 [136.2 MB]
单元3：Requests库网络爬虫实战（5个实例）-4.mp4 [78.2 MB]
单元12：实例4：股票数据Scrapy爬虫-1.mp4 [16.5 MB]
单元11：Scrapy爬虫基本使用-4.mp4 [12.3 MB]
单元9：实例3：股票数据定向爬虫-4.mp4 [26.3 MB]
单元9：实例3：股票数据定向爬虫-1.mp4 [97.5 MB]
单元1：Requests库入门-1.mp4 [24.7 MB]
单元2：网络爬虫的“盗亦有道-1.mp4 [97.1 MB]
第三周本周课程导学.mp4 [17.5 MB]
单元1：Requests库入门-3.mp4 [68.0 MB]
单元6：实例1：中国大学排名爬虫-4.mp4 [10.5 MB]
单元4：Beautiful Soup库入门-5.mp4 [32.2 MB]
单元11：Scrapy爬虫基本使用-1.mp4 [146.9 MB]
单元1：Requests库入门-5.mp4 [152.8 MB]
单元8：实例2：淘宝商品比价定向爬虫-2.mp4 [197.9 MB]
单元3：Requests库网络爬虫实战（5个实例）-6.mp4 [29.7 MB]
单元2：网络爬虫的“盗亦有道”-2.mp4 [66.4 MB]
单元9：实例3：股票数据定向爬虫-2.mp4 [185.7 MB]
单元3：Requests库网络爬虫实战（5个实例）-5.mp4 [59.1 MB]
单元9：实例3：股票数据定向爬虫-3.mp4 [81.0 MB]
单元7：Re(正则表达式)库入门-2.mp4 [143.7 MB]
单元4：Beautiful Soup库入门-4.mp4 [43.1 MB]
单元10：Scrapy爬虫框架-5.mp4 [13.7 MB]
Python语言开发工具选择.mp4 [86.0 MB]
单元5：信息组织与提取方法-2.mp4 [62.2 MB]
单元2：网络爬虫的“盗亦有道”-3.mp4 [30.6 MB]
第二周本周课程导学.mp4 [13.2 MB]
单元1：Requests库入门-6.mp4 [28.1 MB]
单元12：实例4：股票数据Scrapy爬虫-4.mp4 [14.3 MB]
单元7：Re(正则表达式)库入门-3.mp4 [257.2 MB]
单元7：Re(正则表达式)库入门-6.mp4 [21.4 MB]
单元11：Scrapy爬虫基本使用-3.mp4 [94.8 MB]
单元7：Re(正则表达式)库入门-5.mp4 [39.1 MB]
单元2：网络爬虫的“盗亦有道”-4.mp4 [14.3 MB]
单元8：实例2：淘宝商品比价定向爬虫-3.mp4 [12.7 MB]
单元11：Scrapy爬虫基本使用-2.mp4 [90.2 MB]
单元12：实例4：股票数据Scrapy爬虫-3.mp4 [30.8 MB]
单元5：信息组织与提取方法-1.mp4 [119.5 MB]
单元4：Beautiful Soup库入门-2.mp4 [225.1 MB]
单元1：Requests库入门-2.mp4 [113.9 MB]
网络爬虫课程回顾和总结.mp4 [62.8 MB]
“网络爬虫”课程内容导学.mp4 [43.5 MB]
单元10：Scrapy爬虫框架-1.mp4 [106.8 MB]
单元10：Scrapy爬虫框架-3.mp4 [58.2 MB]
第四周本周课程导学.mp4 [11.1 MB]
单元6：实例1：中国大学排名爬虫-1.MP4 [77.9 MB]
📁 Python科学计算三维可视化
Python科学计算三维可视化说明.png [493.5 KB]
第五单元Mayavi入门-2.mp4 [48.7 MB]
第三单元TVTK库可视化实例-1.mp4 [135.8 MB]
第十单元TraitsUI入门-2.mp4 [55.1 MB]
【第〇周】三维可视化之前奏.mp4 [81.6 MB]
第六单元Mlab基础-4.mp4 [139.1 MB]
第三单元TVTK库可视化实例-2.mp4 [127.1 MB]
第十单元TraitsUI入门-4.mp4 [71.6 MB]
课后阅读拓展：VTK介绍（VTK Overview by Han-Wei Shen）-2.mp4 [18.4 MB]
【第一周】三维可视之基础运用-第一周课程导学.mp4 [10.5 MB]
第九单元Traits基础-3.mp4 [82.9 MB]
第六单元Mlab基础-2.mp4 [38.9 MB]
第七单元Mayavi可视化实例-1.mp4 [65.9 MB]
课后阅读拓展：VTK介绍（VTK Overview by Han-Wei Shen）-1.mp4 [21.1 MB]
第六单元Mlab基础-3.mp4 [51.1 MB]
第十一单元TraitsUI与Mayavi实例-2.mp4 [114.3 MB]
第九单元Traits基础-2.mp4 [88.8 MB]
第十单元TraitsUI入门-1.mp4 [65.6 MB]
第六单元Mlab基础-1.mp4 [223.5 MB]
课后扩展阅读：Mayavi介绍（3D Visualization with Mayavi by Prabhu Ramachandran）.mp4 [124.1 MB]
第十一单元TraitsUI与Mayavi实例-1.mp4 [55.6 MB]
课后扩展学习：Mayavi高级动画（Using mayavi.mlab Animation by Prabhu Ramachandran）.mp4 [229.9 MB]
第十单元TraitsUI入门-5.mp4 [173.0 MB]
第六单元Mlab基础-5.mp4 [59.7 MB]
第一单元TVTK入门-1.mp4 [56.9 MB]
第六单元Mlab基础-7.mp4 [64.4 MB]
第一单元TVTK入门-4.mp4 [79.4 MB]
第九单元Traits基础-4.mp4 [43.7 MB]
第二单元TVTK管线与数据加载-2.mp4 [122.4 MB]
第七单元Mayavi可视化实例-2.mp4 [62.6 MB]
第五单元Mayavi入门-3.mp4 [76.7 MB]
第二单元TVTK管线与数据加载-4.mp4 [95.2 MB]
课后阅读扩展：VTK-ITK的简单应用(by Hui-Huang Zhao).mp4 [10.0 MB]
第六单元Mlab基础-6.mp4 [44.3 MB]
第九单元Traits基础-1.mp4 [73.0 MB]
第五单元Mayavi入门-4.mp4 [121.8 MB]
第九单元Traits基础-5.mp4 [54.2 MB]
第三单元TVTK库可视化实例-3.mp4 [38.9 MB]
第二单元TVTK管线与数据加载-3.mp4 [155.8 MB]
第一单元TVTK入门-3.mp4 [69.4 MB]
第一单元TVTK入门-2.mp4 [112.5 MB]
第二单元TVTK管线与数据加载-1.mp4 [89.5 MB]
第七单元Mayavi可视化实例-3.mp4 [169.2 MB]
第十单元TraitsUI入门-3.mp4 [100.4 MB]
第五单元Mayavi入门-1.mp4 [45.3 MB]
📁 嵩天教授Python入门教程
嵩天教授Python入门教程说明.zip [1.8 MB]
4.6 基本循环结构.mp4 [80.6 MB]
7.1 -1程序设计方法.mp4 [73.9 MB]
5.2 函数与递归.mp4 [106.8 MB]
4.1 程序基本结构.mp4 [59.7 MB]
7.2 -2软件开发方法基础.mp4 [46.6 MB]
5.3 函数实例分析.mp4 [78.0 MB]
8.1 -2图形编程、图形对象、交互式GUI等基本介绍.mp4 [58.9 MB]
9.1-2 Python的库编程和库安装.mp4 [119.3 MB]
3.3 -1math库、random库和实例.mp4 [38.4 MB]
9.3-4 Python的Office编程.mp4 [42.3 MB]
6.6 字典的操作.mp4 [44.2 MB]
10.1 -1数学库使用.mp4 [69.5 MB]
10.2 -3调试基础与实践.mp4 [56.9 MB]
7.3 面向过程程序设计.mp4 [100.1 MB]
10.1 -4数学库使用.mp4 [45.6 MB]
3.2 -2元组和列表类型.mp4 [30.5 MB]
8.1 -3图形编程、图形对象、交互式GUI等基本介绍.mp4 [90.1 MB]
1.2 -1从计算机到程序设计语言.mp4 [137.4 MB]
7.4 面向对象程序设计.mp4 [73.7 MB]
4.2 简单分支.mp4 [95.7 MB]
9.2 Python的OS平台编程.mp4 [137.2 MB]
1.2 -2从计算机到程序设计语言.mp4 [54.2 MB]
2.2 -2蟒蛇绘制程序.mp4 [49.4 MB]
4.5 三者最大实例分析.mp4 [87.2 MB]
2.2-3 蟒蛇绘制程序.mp4 [27.5 MB]
10.2 -1调试基础与实践.mp4 [30.0 MB]
10.1 -3数学库使用.mp4 [68.0 MB]
7.1 -3程序设计方法.mp4 [48.2 MB]
8.6 Turtle Art.mp4 [76.1 MB]
8.4 图形用户接口实例.mp4 [87.7 MB]
9.1-1 Python的库编程和库安装.mp4 [32.6 MB]
3.3 -2math库、random库和实例.mp4 [46.3 MB]
4.7 通用循环构造方法.mp4 [79.8 MB]
5. 1-3 函数的定义、调用与返回.mp4 [81.3 MB]
7.1 -2程序设计方法.mp4 [85.9 MB]
10.2 -2调试基础与实践.mp4 [57.6 MB]
3.1-4 数字和字符串类型.mp4 [18.4 MB]
1.3 -1Python语言介绍和配置.mp4 [37.8 MB]
6.3 文件实例一.mp4 [46.8 MB]
6.1 文件的基础.mp4 [82.1 MB]
4.9 布尔表达式.mp4 [114.1 MB]
4.4 异常处理.mp4 [77.2 MB]
8.2 图形库的应用方法.mp4 [76.8 MB]
1.4 -2程序设计的基本方法.mp4 [52.4 MB]
2.1-1 Python语法元素入门.mp4 [163.3 MB]
3.1 -2数字和字符串类型.mp4 [88.1 MB]
7.2 -1软件开发方法基础.mp4 [53.6 MB]
2.1-2 Python语法元素入门.mp4 [29.1 MB]
课程内容和安排介绍.mp4 [48.9 MB]
6.4 文件实例二.mp4 [66.0 MB]
2.2 -1蟒蛇绘制程序.mp4 [50.0 MB]
6.2 文件的基本处理.mp4 [77.9 MB]
3.1-3 数字和字符串类型.mp4 [51.4 MB]
5. 1-2 函数的定义、调用与返回.mp4 [75.8 MB]
8.3 Turtle库的介绍.mp4 [56.8 MB]
4.8 死循环-嵌套循环.mp4 [56.6 MB]
3.2 -1元组和列表类型.mp4 [19.6 MB]
6.8 字典实例二.mp4 [32.5 MB]
9.3-1 Python的Office编程.mp4 [14.9 MB]
6.5 字典的基础.mp4 [34.1 MB]
9.3-2 Python的Office编程.mp4 [64.5 MB]
6.7 字典实例一.mp4 [65.3 MB]
8.1 -1图形编程、图形对象、交互式GUI等基本介绍.mp4 [69.5 MB]
1.4 -1程序设计的基本方法.mp4 [25.2 MB]
2.2 -4蟒蛇绘制程序.mp4 [10.9 MB]
9.3-3 Python的Office编程.mp4 [29.0 MB]
8.5 Turtle实例.mp4 [71.8 MB]
3.1 -1数字和字符串类型.mp4 [20.4 MB]
5. 1-1 函数的定义、调用与返回.mp4 [114.2 MB]
1.3 -2Python语言介绍和配置.mp4 [43.6 MB]
1.4 -3程序设计的基本方法.mp4 [52.4 MB]
7.5 面向对象实例.mp4 [39.9 MB]
10.1 -2数学库使用.mp4 [46.7 MB]
7.6 面向对象的特点.mp4 [50.4 MB]
4.3 多分支.mp4 [63.0 MB]
📁 Python游戏开发
Python游戏开发说明.png [493.5 KB]
Python游戏的开发工具.mp4 [140.2 MB]
【PYG05】Pygame色彩与绘图机制-2.mp4 [117.9 MB]
【PYG04】Pygame事件处理机制-7.mp4 [21.5 MB]
【PYG02】Pygame最小开发框架-6.mp4 [19.0 MB]
【PYG05】Pygame色彩与绘图机制-7.mp4 [17.2 MB]
【PYG03】Pygame屏幕绘制机制-6.mp4 [20.7 MB]
【PYG02】Pygame最小开发框架-3.mp4 [171.4 MB]
【PYG03】Pygame屏幕绘制机制-2.mp4 [52.8 MB]
【PYG05】Pygame色彩与绘图机制-3.mp4 [256.2 MB]
【PYG02】Pygame最小开发框架-4.mp4 [96.2 MB]
【PYG03】Pygame屏幕绘制机制-5.mp4 [61.5 MB]
【PYG05】Pygame色彩与绘图机制-6.mp4 [75.4 MB]
【PYG04】Pygame事件处理机制-6.mp4 [129.7 MB]
【PYG02】Pygame最小开发框架-5.mp4 [109.6 MB]
【PYG05】Pygame色彩与绘图机制-4.mp4 [151.4 MB]
【PYG04】Pygame事件处理机制-1.mp4 [20.8 MB]
【PYG03】Pygame屏幕绘制机制-1.mp4 [17.2 MB]
【PYG04】Pygame事件处理机制-5.mp4 [119.6 MB]
【PYG05】Pygame色彩与绘图机制-1.mp4 [18.8 MB]
【PYG03】Pygame屏幕绘制机制-4.mp4 [75.9 MB]
【PYG02】Pygame最小开发框架-2.mp4 [106.3 MB]
【PYG02】Pygame最小开发框架-1.mp4 [26.1 MB]
【PYG04】Pygame事件处理机制-4.mp4 [68.2 MB]
【PYG05】Pygame色彩与绘图机制-5.mp4 [74.1 MB]
【PYG03】Pygame屏幕绘制机制-3.mp4 [209.0 MB]
【PYG04】Pygame事件处理机制-3.mp4 [85.9 MB]
【PYG04】Pygame事件处理机制-2.mp4 [90.3 MB]
📁 史上最全的Python学习资料 PDF电子书 大合集
Python精要参考(第二版)_翻译.pdf [678.7 KB]
笨办法学Python.pdf [821.4 KB]
Python参考手册(第4版).pdf [26.7 MB]
码农 第8期.pdf [8.7 MB]
Python_qr.pdf [144.0 KB]
Multitreading.pdf [99.9 KB]
Natural Language Processing with Python.pdf [5.2 MB]
think python.pdf [871.3 KB]
MySQL技术内幕：SQL编程-迷你书_IT168文库.pdf [6.6 MB]
Django_中文教程.pdf [2.3 MB]
[精通正则表达式(第三版)].（美）佛瑞德.扫描版.pdf [54.9 MB]
python标准库.pdf [651.2 KB]
Python3程序开发指南(第二版).pdf [28.3 MB]
quantsp研究计划书.pdf [349.3 KB]
Learning From Data 2nd Ed (Wiley,2007).pdf [4.0 MB]
《Python标准库》中文版.pdf [651.2 KB]
精通Python网络爬虫 核心技术、框架与项目实战 ,韦玮.pdf [108.6 MB]
[MySQL.Cookbook(第2版)].(美)迪布瓦.中文版.扫描版.pdf [38.7 MB]
Python 核心编程翻译版(第二版).pdf [5.3 MB]
Python 2.7 Tutorial 中文版.pdf [998.8 KB]
Learning Python, 5th Edition.pdf [20.2 MB]
Python学习手册(第4版).pdf [95.4 MB]
Machine_Learning_in_Action.pdf [6.6 MB]
A Primer on Scientfic Programming with Python, Third Edition .pdf [5.3 MB]
Python学习手册(第4版)_完整版本.pdf [126.2 MB]
python标准库 (1).pdf [651.2 KB]
python基础教程（第二版）.pdf [33.3 MB]
《Python核心编程 第二版》.(Wesley J. Chun ).[PDF]&ckook.pdf [6.1 MB]
Python技术手册(第2版).pdf [63.0 MB]
Natural Language Processing with Python(1).pdf [5.2 MB]
python核心笔记.pdf [785.7 KB]
Python库参考手册.pdf [92.0 KB]
Developing MeeGo apps with Python and QML.pdf [851.3 KB]
Python爬虫开发与项目实战.pdf [105.4 MB]
Python高级编程.pdf [41.8 MB]
Rapid+GUI+Programming+with+Python+and+Qt(1).pdf [7.0 MB]
A Byte of Python.pdf [598.9 KB]
Python入门指南.pdf [1.5 MB]
可爱的Python(哲思社区.插图版_文字版).pdf [7.0 MB]
《Python标准库》中文版 (1).pdf [651.2 KB]
visualizing_data.pdf [6.2 MB]
Python核心编程(第二版).pdf [141.9 MB]
码农 第5期.pdf [13.7 MB]
OReilly Mining the Social Web 2nd Edition Oct.pdf [20.7 MB]
Head First Python（中文版）.pdf [39.0 MB]
集体智慧编程-python算法应用.pdf [27.9 MB]
Python核心编程第二版附录A.pdf [336.1 KB]
Oreilly - Python Standard Library.pdf [1.3 MB]
面向对象的思考过程.pdf [3.3 MB]
常用的正则表达式总结.txt [2.2 KB]
码农 第6期.pdf [13.1 MB]
简明Python教程.pdf [784.9 KB]
OReilly.-.Python for Data Analysis.pdf [11.7 MB]
Foundations of Python 3 Network Programming, Second Edition.pdf [5.9 MB]
Python高级编程 (1).pdf [72.3 MB]
flask-docs.pdf [872.2 KB]
笨办法学.Python.（第三版）.pdf [994.1 KB]
python核心编程第二版笔记.doc [727.5 KB]
[Building.Machine.Learning.Systems.with.Pytho.pdf [6.0 MB]
码农第1期.pdf [8.9 MB]
Beginning Python：Using Python 2.6 and Python 3.1.pdf [4.4 MB]
码农 第7期.pdf [19.6 MB]
NumPy_1_5_Beginner__039_s_Guide.pdf [3.2 MB]
Python源码剖析.pdf [29.0 MB]
📁 Python云端系统开发
【PYC01】云端开发基础-4.MP4 [106.7 MB]
【PYC03】Django框架进阶-4.mp4 [137.1 MB]
【PYC01】云端开发基础-1.MP4 [19.8 MB]
【PYC03】Django框架进阶-6.mp4 [89.8 MB]
【PYC01】云端开发基础-6.MP4 [86.6 MB]
【PYC01】云端开发基础-2.MP4 [162.3 MB]
【PYC02】Django框架基础-4.mp4 [333.1 MB]
【PYC02】Django框架基础-3.mp4 [333.4 MB]
【PYC02】Django框架基础-6.mp4 [32.9 MB]
【PYC03】Django框架进阶-5.mp4 [138.6 MB]
【PYC03】Django框架进阶-3.mp4 [227.8 MB]
【PYC02】Django框架基础-1.mp4 [21.7 MB]
【PYC01】云端开发基础-7.MP4 [18.9 MB]
【PYC01】云端开发基础-3.MP4 [127.8 MB]
【PYC02】Django框架基础-2.mp4 [89.5 MB]
【PYC03】Django框架进阶-2.mp4 [306.5 MB]
【PYC02】Django框架基础-5.mp4 [366.9 MB]
【PYC03】Django框架进阶-1.mp4 [31.9 MB]
【PYC03】Django框架进阶-7.mp4 [23.0 MB]
【PYC01】云端开发基础-5.MP4 [71.6 MB]
📁 Python数据分析和展示
单元8：Pandas数据特征分析-4.mp4 [64.5 MB]
单元7：Pandas库入门-6.mp4 [19.7 MB]
“数据分析”课程内容导学.mp4 [61.7 MB]
单元7：Pandas库入门-2.mp4 [295.8 MB]
单元2：NumPy数据存取与函数-1.mp4 [95.9 MB]
单元4：Matplotlib库入门-3.mp4 [85.5 MB]
单元5：Matplotlib基础绘图函数示例（5个实例）-4.mp4 [71.0 MB]
单元5：Matplotlib基础绘图函数示例（5个实例）-5.mp4 [34.1 MB]
Anaconda IDE的基本使用方法.mp4 [195.6 MB]
单元8：Pandas数据特征分析-3.mp4 [48.7 MB]
单元3：实例1：图像的手绘效果-4.mp4 [21.3 MB]
第三周本周课程导学.mp4 [10.7 MB]
单元1：NumPy库入门-1.mp4 [95.1 MB]
Python语言开发工具选择.mp4 [86.0 MB]
单元7：Pandas库入门-5.mp4 [104.6 MB]
单元4：Matplotlib库入门-4.mp4 [108.9 MB]
单元1：NumPy库入门-5.mp4 [126.4 MB]
单元5：Matplotlib基础绘图函数示例（5个实例）-2.mp4 [43.6 MB]
单元5：Matplotlib基础绘图函数示例（5个实例）-3.mp4 [82.9 MB]
单元7：Pandas库入门-1.mp4 [76.3 MB]
单元2：NumPy数据存取与函数-6.mp4 [32.6 MB]
单元3：实例1：图像的手绘效果-1.mp4 [44.6 MB]
单元8：Pandas数据特征分析-2.mp4 [59.2 MB]
单元1：NumPy库入门-6.mp4 [28.0 MB]
单元1：NumPy库入门-4.mp4 [116.7 MB]
单元2：NumPy数据存取与函数-2.mp4 [136.5 MB]
第二周本周课程导学.mp4 [10.9 MB]
单元1：NumPy库入门-3.mp4 [233.8 MB]
单元8：Pandas数据特征分析-1.mp4 [105.1 MB]
单元2：NumPy数据存取与函数-3.mp4 [140.5 MB]
单元3：实例1：图像的手绘效果-2.mp4 [71.6 MB]
单元6：实例2：引力波的绘制-2.mp4 [30.7 MB]
单元4：Matplotlib库入门-1.mp4 [147.6 MB]
单元1：NumPy库入门-2.mp4 [216.7 MB]
单元7：Pandas库入门-3.mp4 [164.7 MB]
单元5：Matplotlib基础绘图函数示例（5个实例）-1.mp4 [52.2 MB]
单元5：Matplotlib基础绘图函数示例（5个实例）-6.mp4 [18.1 MB]
第一周课程导学.mp4 [9.0 MB]
单元7：Pandas库入门-4.mp4 [142.0 MB]
单元3：实例1：图像的手绘效果-3.mp4 [23.3 MB]
单元2：NumPy数据存取与函数-4.mp4 [104.8 MB]
单元2：NumPy数据存取与函数-5.mp4 [61.6 MB]
单元8：Pandas数据特征分析-5.mp4 [18.8 MB]
单元4：Matplotlib库入门-5.mp4 [108.1 MB]
单元4：Matplotlib库入门-2.mp4 [163.3 MB]
单元4：Matplotlib库入门-6.mp4 [33.0 MB]
单元6：实例2：引力波的绘制-1.mp4 [37.5 MB]
📁 Python机器学习(1)
📁 📁 课件资料
📁 📁 MachineLearning
📁 📁 venv
📁 📁 lib
📁 📁 python3.5
📁 📁 site-packages
📁 📁 pandas
📁 📁 tests
📁 📁 io
…（已达最大深度 10 层，子目录未展开）
📁 📁 matplotlib
📁 📁 backends
📁 📁 web_backend
…（已达最大深度 10 层，子目录未展开）
📁 📁 pip
📁 📁 _vendor
📁 📁 requests
…（已达最大深度 10 层，子目录未展开）
📁 📁 wheel
📁 📁 test
📁 📁 simple.dist
…（已达最大深度 10 层，子目录未展开）
📁 📁 complex-dist
…（已达最大深度 10 层，子目录未展开）
📁 📁 scipy
📁 📁 stats
📁 📁 tests
…（已达最大深度 10 层，子目录未展开）
📁 📁 io
📁 📁 matlab
…（已达最大深度 10 层，子目录未展开）
📁 📁 sparse
📁 📁 linalg
…（已达最大深度 10 层，子目录未展开）
📁 📁 csgraph
…（已达最大深度 10 层，子目录未展开）
📁 📁 sklearn
📁 📁 metrics
📁 📁 cluster
…（已达最大深度 10 层，子目录未展开）
📁 📁 utils
📁 📁 sparsetools
…（已达最大深度 10 层，子目录未展开）
课件资料必看.zip [1.8 MB]适合人群
- Python初学者
- 进阶开发者
- 全栈工程师
学习收获
掌握Python全栈开发
精通数据分析与机器学习
实现项目实战
祝您学习愉快！
学有所成，前程似锦！
