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[FreeCoursesOnline.Me] O'REILLY - Python for Data Science Complete Video Course Video Training

Torrent Hash :
5efa31c7080a132823679a10d1830a88d47ea1fd
Content Size :
13.13 GB
Date :
2019-07-02
Short Magnet :
Short Magnet
https://0mag.top/!jVaJNB QR code
Files ( 95 )size
48 - 9.2 Learn SciPy.mp4664.99 MB
77 - 14.4 Use function-based concurrency.mp4608.14 MB
08 - 2.2 Manage Colab documents.mp4451.8 MB
84 - 16.1 PyTest.mp4372.92 MB
24 - 5.1 Use lists and tuples.mp4369.96 MB
85 - 16.2 Visual Studio Code.mp4364.64 MB
79 - 15.1 Share with Github.mp4358.09 MB
50 - 9.4 Learn TensorFlow.mp4341.9 MB
75 - 14.2 Read and write with Pandas - CSV, JSON.mp4336.5 MB
49 - 9.3 Learn Pandas.mp4335.61 MB
07 - 2.1 Create your first Colab document.mp4328.82 MB
45 - 8.5 Advanced Use of Functions.mp4319.02 MB
72 - 13.3 Sort in Pandas.mp4301.95 MB
47 - 9.1 Learn NumPy.mp4287.95 MB
67 - 12.2 Use regular expressions.mp4284.59 MB
52 - 9.6 Use Plotly for interactive plots.mp4262.06 MB
51 - 9.5 Use Seaborn for 2D plots.mp4261.65 MB
10 - 2.4 Understand compatibility with Jupyter.mp4258.05 MB
53 - 9.7 Specialized Visualization Libraries.mp4241.69 MB
27 - 5.4 Work with the numpy array.mp4234.44 MB
71 - 13.2 Create custom sorting functions.mp4229.33 MB
74 - 14.1 Read and write files - file, pickle, CSV, JSON.mp4214.71 MB
25 - 5.2 Explore dictionaries.mp4213.33 MB
42 - 8.2 Learn to use decorators.mp4210.94 MB
80 - 15.2 Create Kaggle Kernels.mp4207.48 MB
41 - 8.1 Write and use functions.mp4206.47 MB
17 - 3.6 Use classes and objects with dot notation.mp4194.46 MB
70 - 13.1 Sort in Python.mp4186.66 MB
13 - 3.2 Use simple expressions and variables.mp4173.93 MB
39 - 7.4 Use conditionals.mp4168.25 MB
16 - 3.5 Perform basic math operations.mp4167.11 MB
09 - 2.3 Use magic functions.mp4156.26 MB
56 - 10.1 Understand functional programming.mp4151.13 MB
87 - 16.4 Ludwig (Open Source AutoML).mp4146.48 MB
63 - 11.2 Design generator pipelines.mp4141.25 MB
86 - 16.3 Vim.mp4136.81 MB
21 - 4.3 Manipulate strings - membership, slicing, and concatenation.mp4136.75 MB
43 - 8.3 Compose closure functions.mp4132.86 MB
19 - 4.1 Use string methods.mp4131.93 MB
81 - 15.3 Collaborate with Colab.mp4125.18 MB
54 - 9.8 Learn Natural Language Processing Libraries.mp4124.95 MB
28 - 5.5 Use the Pandas DataFrame.mp4116.78 MB
12 - 3.1 Write procedural code.mp4112.86 MB
38 - 7.3 Learn to handle exceptions.mp4111.94 MB
76 - 14.3 Read and write using web resources (requests, boto, github).mp4110.86 MB
44 - 8.4 Use lambdas.mp4106.23 MB
32 - 6.2 Convert dicts to Pandas Dataframe.mp4104.57 MB
88 - 16.5 Sklearn Algorithm Cheatsheet.mp4104.05 MB
82 - 15.4 Post public graphs with Plotly.mp4103.5 MB
34 - 6.4 Convert between hexadecimal, binary, and floats.mp4101.36 MB

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