[GigaCourse.Com] Udemy - Learn to Code in Python 3 Programming beginner to advanced

磁力链接/BT种子名称

[GigaCourse.Com] Udemy - Learn to Code in Python 3 Programming beginner to advanced

磁力链接/BT种子简介

种子哈希：843bcb4b5ec5bc97c8a1c255873223220c335495
文件大小： 1.95G
已经下载：1376次
下载速度：极快
收录时间：2022-01-12
最近下载：2025-07-22

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文件列表

  • 4. Modules/8. Exercise - Requests & Json (Part 2).mp4 136.9 MB
  • 4. Modules/7. Exercise - Requests & Json (Part 1).mp4 105.8 MB
  • 3. Conditionals, Loops, Functions and a bit more/7. Data Validation.mp4 78.2 MB
  • 5. File Handling/2. Reading Excel Sheets.mp4 72.1 MB
  • 3. Conditionals, Loops, Functions and a bit more/10. Functions.mp4 68.0 MB
  • 1. Python Basics/2. Installing Python on Windows.mp4 66.7 MB
  • 1. Python Basics/1. Installing Python on Mac.mp4 61.2 MB
  • 3. Conditionals, Loops, Functions and a bit more/1. Conditionals (if, elif, else).mp4 60.0 MB
  • 2. Data Types/9. Data Types Booleans.mp4 59.3 MB
  • 2. Data Types/1. Data Types Strings.mp4 57.1 MB
  • 4. Modules/2. Matplotlib.mp4 57.0 MB
  • 6. Introduction to Machine Learning/2. The Iris Dataset.mp4 56.7 MB
  • 6. Introduction to Machine Learning/8. What's next in Machine Learning.mp4 53.4 MB
  • 4. Modules/1. Time.mp4 52.1 MB
  • 4. Modules/6. Working With JSON.mp4 51.0 MB
  • 4. Modules/3. Exercise - Time & Matplotlib.Pyplot.mp4 50.7 MB
  • 2. Data Types/7. Data Types Dictionaries.mp4 48.1 MB
  • 2. Data Types/5. Data Types Lists and Tuples.mp4 47.4 MB
  • 3. Conditionals, Loops, Functions and a bit more/5. For Loops.mp4 46.9 MB
  • 5. File Handling/1. File Handling Basics - Create, Read, Write & Append.mp4 45.0 MB
  • 1. Python Basics/5. The Input Function.mp4 44.4 MB
  • 2. Data Types/3. Data Types Numbers.mp4 44.0 MB
  • 6. Introduction to Machine Learning/3. Applying the KNN Model.mp4 43.9 MB
  • 7. The Final Project/1. Project Overview.mp4 42.6 MB
  • 3. Conditionals, Loops, Functions and a bit more/6. Exercise - Loops.mp4 42.1 MB
  • 3. Conditionals, Loops, Functions and a bit more/4. While Loops.mp4 41.0 MB
  • 3. Conditionals, Loops, Functions and a bit more/9. Exercise - Error Handling.mp4 39.6 MB
  • 4. Modules/4. Requests.mp4 38.2 MB
  • 3. Conditionals, Loops, Functions and a bit more/2. AND OR operators.mp4 37.8 MB
  • 1. Python Basics/3. Statements.mp4 37.7 MB
  • 6. Introduction to Machine Learning/4. Splitting Data Intro Train and Test Groups.mp4 37.1 MB
  • 6. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 36.6 MB
  • 6. Introduction to Machine Learning/5. Exercise KNN - Picking the Best Value Of K.mp4 32.8 MB
  • 4. Modules/5. Sending HTTP Requests to APIs.mp4 31.2 MB
  • 1. Python Basics/4. Variables.mp4 30.7 MB
  • 6. Introduction to Machine Learning/7. Applying the Logistic Regression Model.mp4 29.9 MB
  • 2. Data Types/2. Exercise - Strings.mp4 29.4 MB
  • 2. Data Types/4. Exercise - Numbers.mp4 27.6 MB
  • 3. Conditionals, Loops, Functions and a bit more/3. Exercise - Conditionals.mp4 27.4 MB
  • 2. Data Types/8. Exercise - Dictionaries.mp4 26.7 MB
  • 2. Data Types/6. Exercise - Lists and Tuples.mp4 25.1 MB
  • 1. Python Basics/6. Exercise - Km to Miles Converter.mp4 21.0 MB
  • 3. Conditionals, Loops, Functions and a bit more/8. Error Handling.mp4 19.0 MB
  • 2. Data Types/10. Exercise - Booleans.mp4 15.2 MB
  • 6. Introduction to Machine Learning/6. The Logistic Regression Model.mp4 14.1 MB
  • 4. Modules/7. Exercise - Requests & Json (Part 1).srt 13.2 kB
  • 6. Introduction to Machine Learning/8. What's next in Machine Learning.srt 12.4 kB
  • 4. Modules/8. Exercise - Requests & Json (Part 2).srt 12.3 kB
  • 2. Data Types/1. Data Types Strings.srt 10.4 kB
  • 3. Conditionals, Loops, Functions and a bit more/10. Functions.srt 10.3 kB
  • 6. Introduction to Machine Learning/3. Applying the KNN Model.srt 10.2 kB
  • 5. File Handling/2.1 sales.xlsx 10.1 kB
  • 2. Data Types/9. Data Types Booleans.srt 10.1 kB
  • 6. Introduction to Machine Learning/4. Splitting Data Intro Train and Test Groups.srt 10.0 kB
  • 6. Introduction to Machine Learning/2. The Iris Dataset.srt 9.5 kB
  • 5. File Handling/2. Reading Excel Sheets.srt 9.2 kB
  • 2. Data Types/3. Data Types Numbers.srt 9.2 kB
  • 4. Modules/1. Time.srt 9.1 kB
  • 2. Data Types/5. Data Types Lists and Tuples.srt 9.1 kB
  • 3. Conditionals, Loops, Functions and a bit more/5. For Loops.srt 8.9 kB
  • 3. Conditionals, Loops, Functions and a bit more/6. Exercise - Loops.srt 8.5 kB
  • 1. Python Basics/3. Statements.srt 8.5 kB
  • 3. Conditionals, Loops, Functions and a bit more/1. Conditionals (if, elif, else).srt 8.5 kB
  • 1. Python Basics/1. Installing Python on Mac.srt 8.4 kB
  • 3. Conditionals, Loops, Functions and a bit more/4. While Loops.srt 8.3 kB
  • 4. Modules/3. Exercise - Time & Matplotlib.Pyplot.srt 8.0 kB
  • 1. Python Basics/2. Installing Python on Windows.srt 7.9 kB
  • 4. Modules/2. Matplotlib.srt 7.6 kB
  • 6. Introduction to Machine Learning/5. Exercise KNN - Picking the Best Value Of K.srt 7.5 kB
  • 3. Conditionals, Loops, Functions and a bit more/7. Data Validation.srt 7.4 kB
  • 6. Introduction to Machine Learning/1. Introduction to Machine Learning.srt 7.2 kB
  • 2. Data Types/7. Data Types Dictionaries.srt 6.9 kB
  • 6. Introduction to Machine Learning/7. Applying the Logistic Regression Model.srt 6.9 kB
  • 2. Data Types/6. Exercise - Lists and Tuples.srt 6.8 kB
  • 4. Modules/6. Working With JSON.srt 6.6 kB
  • 1. Python Basics/5. The Input Function.srt 6.5 kB
  • 5. File Handling/1. File Handling Basics - Create, Read, Write & Append.srt 6.5 kB
  • 4. Modules/4. Requests.srt 6.4 kB
  • 1. Python Basics/4. Variables.srt 6.3 kB
  • 2. Data Types/8. Exercise - Dictionaries.srt 5.6 kB
  • 6. Introduction to Machine Learning/6. The Logistic Regression Model.srt 5.5 kB
  • 4. Modules/5. Sending HTTP Requests to APIs.srt 5.0 kB
  • 3. Conditionals, Loops, Functions and a bit more/9. Exercise - Error Handling.srt 5.0 kB
  • 3. Conditionals, Loops, Functions and a bit more/3. Exercise - Conditionals.srt 4.8 kB
  • 2. Data Types/2. Exercise - Strings.srt 4.8 kB
  • 2. Data Types/4. Exercise - Numbers.srt 4.4 kB
  • 1. Python Basics/6. Exercise - Km to Miles Converter.srt 4.3 kB
  • 7. The Final Project/1. Project Overview.srt 4.3 kB
  • 3. Conditionals, Loops, Functions and a bit more/2. AND OR operators.srt 4.0 kB
  • 3. Conditionals, Loops, Functions and a bit more/8. Error Handling.srt 3.3 kB
  • 2. Data Types/10. Exercise - Booleans.srt 3.1 kB
  • 4. Modules/7.1 Ex14_quizzing_game.py.zip 1.3 kB
  • 0. Websites you may like/[CourseClub.ME].url 122 Bytes
  • 2. Data Types/[CourseClub.Me].url 122 Bytes
  • 4. Modules/[CourseClub.Me].url 122 Bytes
  • 6. Introduction to Machine Learning/[CourseClub.Me].url 122 Bytes
  • [CourseClub.Me].url 122 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 2. Data Types/[GigaCourse.Com].url 49 Bytes
  • 4. Modules/[GigaCourse.Com].url 49 Bytes
  • 6. Introduction to Machine Learning/[GigaCourse.Com].url 49 Bytes
  • [GigaCourse.Com].url 49 Bytes

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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！