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[Tutorialsplanet.NET] Udemy - Learn to Code in Python 3 Programming beginner to advanced

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2022-6-23 10:14 2024-12-11 19:01 187 1.95 GB 45
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[Tutorialsplanet.NET] Udemy - Learn to Code in Python 3 Programming beginner to advanced的二维码
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文件列表
  1. 1. Python Basics/1. Installing Python on Mac.mp458.34MB
  2. 1. Python Basics/2. Installing Python on Windows.mp463.6MB
  3. 1. Python Basics/3. Statements.mp435.96MB
  4. 1. Python Basics/4. Variables.mp429.28MB
  5. 1. Python Basics/5. The Input Function.mp442.32MB
  6. 1. Python Basics/6. Exercise - Km to Miles Converter.mp420.05MB
  7. 2. Data Types/1. Data Types Strings.mp454.5MB
  8. 2. Data Types/10. Exercise - Booleans.mp414.54MB
  9. 2. Data Types/2. Exercise - Strings.mp428MB
  10. 2. Data Types/3. Data Types Numbers.mp441.98MB
  11. 2. Data Types/4. Exercise - Numbers.mp426.28MB
  12. 2. Data Types/5. Data Types Lists and Tuples.mp445.16MB
  13. 2. Data Types/6. Exercise - Lists and Tuples.mp423.94MB
  14. 2. Data Types/7. Data Types Dictionaries.mp445.84MB
  15. 2. Data Types/8. Exercise - Dictionaries.mp425.49MB
  16. 2. Data Types/9. Data Types Booleans.mp456.56MB
  17. 3. Conditionals, Loops, Functions and a bit more/1. Conditionals (if, elif, else).mp457.23MB
  18. 3. Conditionals, Loops, Functions and a bit more/10. Functions.mp464.84MB
  19. 3. Conditionals, Loops, Functions and a bit more/2. AND OR operators.mp436.06MB
  20. 3. Conditionals, Loops, Functions and a bit more/3. Exercise - Conditionals.mp426.09MB
  21. 3. Conditionals, Loops, Functions and a bit more/4. While Loops.mp439.12MB
  22. 3. Conditionals, Loops, Functions and a bit more/5. For Loops.mp444.74MB
  23. 3. Conditionals, Loops, Functions and a bit more/6. Exercise - Loops.mp440.18MB
  24. 3. Conditionals, Loops, Functions and a bit more/7. Data Validation.mp474.57MB
  25. 3. Conditionals, Loops, Functions and a bit more/8. Error Handling.mp418.11MB
  26. 3. Conditionals, Loops, Functions and a bit more/9. Exercise - Error Handling.mp437.78MB
  27. 4. Modules/1. Time.mp449.66MB
  28. 4. Modules/2. Matplotlib.mp454.39MB
  29. 4. Modules/3. Exercise - Time & Matplotlib.Pyplot.mp448.34MB
  30. 4. Modules/4. Requests.mp436.4MB
  31. 4. Modules/5. Sending HTTP Requests to APIs.mp429.78MB
  32. 4. Modules/6. Working With JSON.mp448.62MB
  33. 4. Modules/7. Exercise - Requests & Json (Part 1).mp4100.92MB
  34. 4. Modules/8. Exercise - Requests & Json (Part 2).mp4130.58MB
  35. 5. File Handling/1. File Handling Basics - Create, Read, Write & Append.mp442.94MB
  36. 5. File Handling/2. Reading Excel Sheets.mp468.77MB
  37. 6. Introduction to Machine Learning/1. Introduction to Machine Learning.mp434.87MB
  38. 6. Introduction to Machine Learning/2. The Iris Dataset.mp454.04MB
  39. 6. Introduction to Machine Learning/3. Applying the KNN Model.mp441.9MB
  40. 6. Introduction to Machine Learning/4. Splitting Data Intro Train and Test Groups.mp435.37MB
  41. 6. Introduction to Machine Learning/5. Exercise KNN - Picking the Best Value Of K.mp431.31MB
  42. 6. Introduction to Machine Learning/6. The Logistic Regression Model.mp413.45MB
  43. 6. Introduction to Machine Learning/7. Applying the Logistic Regression Model.mp428.49MB
  44. 6. Introduction to Machine Learning/8. What's next in Machine Learning.mp450.97MB
  45. 7. The Final Project/1. Project Overview.mp440.6MB
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