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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：a8c15cdfd9b2b16a7a39ce1904cffa9d506d0eb2
文件大小： 13.13G
已经下载：3698次
下载速度：极快
收录时间：2020-02-28
最近下载：2025-08-25

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文件列表

  • 48 - 9.2 Learn SciPy.mp4 697.3 MB
  • 77 - 14.4 Use function-based concurrency.mp4 637.7 MB
  • 08 - 2.2 Manage Colab documents.mp4 473.7 MB
  • 84 - 16.1 PyTest.mp4 391.0 MB
  • 24 - 5.1 Use lists and tuples.mp4 387.9 MB
  • 85 - 16.2 Visual Studio Code.mp4 382.4 MB
  • 79 - 15.1 Share with Github.mp4 375.5 MB
  • 50 - 9.4 Learn TensorFlow.mp4 358.5 MB
  • 75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
  • 49 - 9.3 Learn Pandas.mp4 351.9 MB
  • 07 - 2.1 Create your first Colab document.mp4 344.8 MB
  • 45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
  • 72 - 13.3 Sort in Pandas.mp4 316.6 MB
  • 47 - 9.1 Learn NumPy.mp4 301.9 MB
  • 67 - 12.2 Use regular expressions.mp4 298.4 MB
  • 52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
  • 51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
  • 10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
  • 53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
  • 27 - 5.4 Work with the numpy array.mp4 245.8 MB
  • 71 - 13.2 Create custom sorting functions.mp4 240.5 MB
  • 74 - 14.1 Read and write files - file, pickle, CSV, JSON.mp4 225.1 MB
  • 25 - 5.2 Explore dictionaries.mp4 223.7 MB
  • 42 - 8.2 Learn to use decorators.mp4 221.2 MB
  • 80 - 15.2 Create Kaggle Kernels.mp4 217.6 MB
  • 41 - 8.1 Write and use functions.mp4 216.5 MB
  • 17 - 3.6 Use classes and objects with dot notation.mp4 203.9 MB
  • 70 - 13.1 Sort in Python.mp4 195.7 MB
  • 13 - 3.2 Use simple expressions and variables.mp4 182.4 MB
  • 39 - 7.4 Use conditionals.mp4 176.4 MB
  • 16 - 3.5 Perform basic math operations.mp4 175.2 MB
  • 09 - 2.3 Use magic functions.mp4 163.8 MB
  • 56 - 10.1 Understand functional programming.mp4 158.5 MB
  • 87 - 16.4 Ludwig (Open Source AutoML).mp4 153.6 MB
  • 63 - 11.2 Design generator pipelines.mp4 148.1 MB
  • 86 - 16.3 Vim.mp4 143.5 MB
  • 21 - 4.3 Manipulate strings - membership, slicing, and concatenation.mp4 143.4 MB
  • 43 - 8.3 Compose closure functions.mp4 139.3 MB
  • 19 - 4.1 Use string methods.mp4 138.3 MB
  • 81 - 15.3 Collaborate with Colab.mp4 131.3 MB
  • 54 - 9.8 Learn Natural Language Processing Libraries.mp4 131.0 MB
  • 28 - 5.5 Use the Pandas DataFrame.mp4 122.5 MB
  • 12 - 3.1 Write procedural code.mp4 118.3 MB
  • 38 - 7.3 Learn to handle exceptions.mp4 117.4 MB
  • 76 - 14.3 Read and write using web resources (requests, boto, github).mp4 116.2 MB
  • 44 - 8.4 Use lambdas.mp4 111.4 MB
  • 32 - 6.2 Convert dicts to Pandas Dataframe.mp4 109.6 MB
  • 88 - 16.5 Sklearn Algorithm Cheatsheet.mp4 109.1 MB
  • 82 - 15.4 Post public graphs with Plotly.mp4 108.5 MB
  • 34 - 6.4 Convert between hexadecimal, binary, and floats.mp4 106.3 MB
  • 20 - 4.2 Format strings.mp4 103.5 MB
  • 59 - 10.4 Use list comprehensions.mp4 103.0 MB
  • 66 - 12.1 Perform simple pattern matching.mp4 101.8 MB
  • 58 - 10.3 Use map_reduce_filter.mp4 99.9 MB
  • 68 - 12.3 Learn text processing techniques - Beautiful Soup.mp4 91.9 MB
  • 26 - 5.3 Dive into sets.mp4 87.1 MB
  • 03 - 1.1 History of Python in data science.mp4 81.9 MB
  • 05 - 1.3 Future trends of Python in AI, ML, and data science.mp4 81.3 MB
  • 01 - Python for Data Science Complete Video Course Video Training - Introduction.mp4 80.4 MB
  • 31 - 6.1 Convert lists to dicts and back.mp4 78.1 MB
  • 22 - 4.4 Learn to use unicode.mp4 78.0 MB
  • 29 - 5.6 Use the Pandas Series.mp4 75.1 MB
  • 15 - 3.4 Learn to Print.mp4 74.0 MB
  • 62 - 11.1 Use generators.mp4 72.8 MB
  • 14 - 3.3 Work with the built-in types.mp4 69.8 MB
  • 64 - 11.3 Implement lazy evaluation functions.mp4 62.0 MB
  • 37 - 7.2 Repeat with while loops.mp4 52.7 MB
  • 89 - 16.6 Recommendations.mp4 50.1 MB
  • 57 - 10.2 Apply functions to data science workflows.mp4 49.4 MB
  • 36 - 7.1 Learn to loop with for loops.mp4 47.1 MB
  • 04 - 1.2 Overview of Python data science libraries.mp4 46.5 MB
  • 33 - 6.3 Convert characters to integers and back.mp4 37.5 MB
  • 46 - Learning objectives.mp4 35.4 MB
  • 11 - Learning objectives.mp4 30.2 MB
  • 83 - Learning Objectives.mp4 30.1 MB
  • 55 - Learning objectives.mp4 29.0 MB
  • 06 - Learning objectives.mp4 26.2 MB
  • 35 - Learning objectives.mp4 26.1 MB
  • 30 - Learning objectives.mp4 25.2 MB
  • 40 - Learning objectives.mp4 23.5 MB
  • 23 - Learning objectives.mp4 23.5 MB
  • 73 - Learning objectives.mp4 23.2 MB
  • 65 - Learning objectives.mp4 22.0 MB
  • 78 - Learning objectives.mp4 21.9 MB
  • 69 - Learning objectives.mp4 19.1 MB
  • 61 - Learning objectives.mp4 18.7 MB
  • 18 - Learning objectives.mp4 17.8 MB
  • 60 - 10.5 Use dictionary comprehensions.mp4 16.2 MB
  • 02 - Learning objectives.mp4 11.8 MB
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes

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