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种子名称： [FreeCourseWeb] Udemy - Python A-Z - Complete Python Training (Exercises-Cheatsheet) (Update)
文件类型： 视频
文件数目： 86个文件
文件大小： 2.6 GB
收录时间： 2019-4-15 01:33
已经下载： 3次
资源热度： 199
最近下载： 2025-1-13 22:00

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[FreeCourseWeb] Udemy - Python A-Z - Complete Python Training (Exercises-Cheatsheet) (Update).torrent

1. Python In 2019/1. Is Python A Bubble Or Real Deal.mp463.97MB

2. Setup - Installing Python/1. Installing Python on Windows.mp440.88MB

2. Setup - Installing Python/2. Different Methods To Execute Python Codes.mp448.27MB

2. Setup - Installing Python/3. Python help() - Python Documentation.mp446.22MB

3. Writing Our First Python Program/1. Variables and Python Memory Management.mp423.1MB

4. Datatypes in Python/1. Datatypes in Python.mp439.71MB

4. Datatypes in Python/2. Sequences in Python.mp450.29MB

4. Datatypes in Python/3. Installing IDE (Integrated Development Environment).mp463.4MB

4. Datatypes in Python/4. Sets, Dictionary.mp437.92MB

4. Datatypes in Python/5. Literals and Identifiers.mp420.24MB

4. Datatypes in Python/6. Reserve Words - You Cann't Use Them!.mp48.68MB

5. Operators in Python/1. Operators Arithmetic, Assignment.mp428.92MB

5. Operators in Python/2. Operators Unary Minus, Relational, Logical, Boolean.mp427.02MB

5. Operators in Python/3. Understanding Escape Characters.mp427.77MB

6. Input and Output/1. Introduction to Input and Output Statements.mp413.77MB

6. Input and Output/2. Output Statements.mp494.49MB

6. Input and Output/3. Input Statements.mp419.39MB

6. Input and Output/4. Python Built-in Functions and Built-in Module.mp475.95MB

7. Python Control Statements/1. Conditionals If, If ... Else and Indentation.mp417.91MB

7. Python Control Statements/2. Conditionals If ... Else Statements With Operators.mp432.28MB

7. Python Control Statements/3. Conditionals if... elif ... else Statements + Nested if Statements.mp412.74MB

8. Loops In Python/1. While Loop.mp427.77MB

8. Loops In Python/2. For Loops - Part 1.mp411.57MB

8. Loops In Python/3. For Loops - Part 2.mp423.57MB

8. Loops In Python/4. Break and Continue Statements.mp420.34MB

9. Strings and Characters/1. Comments and Doc Strings.mp413.54MB

9. Strings and Characters/2. Diving Deep With Strings.mp446.6MB

10. Lists, Tuples and Dictionaries/1. Diving Deep - List.mp440.45MB

10. Lists, Tuples and Dictionaries/2. Diving Deep - Tuples.mp425.27MB

10. Lists, Tuples and Dictionaries/3. Diving Deep - Dictionaries.mp432.2MB

10. Lists, Tuples and Dictionaries/4. Indexing, Slicing, Negative Indexing.mp444.7MB

11. Functions/1. What are Functions.mp410.74MB

11. Functions/2. Parameters, Arguments, Return.mp424.86MB

11. Functions/3. Formal and Actual Arguments (arg, arg, karg).mp434.41MB

11. Functions/4. Local and Global Variables.mp412.51MB

12. Object Oriented Programming (OOP)/1. Introduction to Object Oriented Programming (OOP).mp446.06MB

12. Object Oriented Programming (OOP)/2. Classes and Objects in Python (OOP).mp435.59MB

12. Object Oriented Programming (OOP)/3. Understanding init() Method and 'self ' Parameter.mp443.89MB

12. Object Oriented Programming (OOP)/4. Solving Task OOPS.mp435.81MB

12. Object Oriented Programming (OOP)/5. Defining Multiple Constructors in Python.mp419.99MB

12. Object Oriented Programming (OOP)/6. Encapsulation.mp436.94MB

12. Object Oriented Programming (OOP)/7. Public And Private Methods.mp421.82MB

12. Object Oriented Programming (OOP)/8. Inheritance.mp411.86MB

12. Object Oriented Programming (OOP)/9. Getter and Setter.mp442.49MB

12. Object Oriented Programming (OOP)/10. Creating And Importing Module.mp419.56MB

12. Object Oriented Programming (OOP)/11. Creating User Defined Module.mp424.64MB

12. Object Oriented Programming (OOP)/12. Multiple Inheritance.mp426.96MB

12. Object Oriented Programming (OOP)/13. Understanding super() Function [Part 1].mp410.3MB

12. Object Oriented Programming (OOP)/14. Understanding super() Function [Part 2].mp421.53MB

12. Object Oriented Programming (OOP)/15. Python Naming Convention (Classes, Variables, Functions, Methods ...).mp419.14MB

12. Object Oriented Programming (OOP)/16. Composition.mp439.57MB

12. Object Oriented Programming (OOP)/17. Aggregation.mp424.93MB

12. Object Oriented Programming (OOP)/18. Abstract Classes.mp431.85MB

12. Object Oriented Programming (OOP)/19. Discussing Over import And from.mp48.54MB

12. Object Oriented Programming (OOP)/20. Operator Overloading [Part 1].mp424.33MB

12. Object Oriented Programming (OOP)/21. Operator Overloading [Part 2].mp424.59MB

14. Errors And Exceptions Handling/1. Errors - Types of Errors!.mp423.56MB

14. Errors And Exceptions Handling/2. Exceptions.mp414.63MB

14. Errors And Exceptions Handling/3. Exceptions Handling Introduction.mp412.26MB

14. Errors And Exceptions Handling/4. Exceptions Handling.mp436.41MB

14. Errors And Exceptions Handling/5. Try, Except, Else And Finally.mp419.58MB

14. Errors And Exceptions Handling/6. Raising Exception.mp419.24MB

14. Errors And Exceptions Handling/7. Creating User Defined Exception.mp418.75MB

15. __name__ == __main__/1. if __name__ == __main__.mp415.42MB

16. Python IO - File Handling/1. Creating Text File And Write Content.mp431.14MB

16. Python IO - File Handling/2. Appending Files Solving Example - File Handling.mp415.83MB

16. Python IO - File Handling/3. How To Read Content From A File.mp440.38MB

17. Python Package Management System/1. pip - PyPI for Managing Python packages.mp466.81MB

18. Project - Face Detection/1. What is OpenCV.mp433.61MB

18. Project - Face Detection/2. OpenCV Face Detection With Python.mp440MB

18. Project - Face Detection/3. Detecting 'Elon Musk' And 'Mark Zuckerberg' Faces.mp417.16MB

18. Project - Face Detection/5. Detecting Faces Of All Images In The Folder.mp453.62MB

19. Project - Video Downloader/1. PyPi - Pytube Introduction.mp416.62MB

19. Project - Video Downloader/2. Video Downloader - Part 1.mp436.05MB

19. Project - Video Downloader/3. Video Downloader - Part 2.mp432.34MB

19. Project - Video Downloader/4. Complete Playlist Downloader.mp412.2MB

20. Data Analysis With Pandas/1. What is Pandas.mp455.86MB

20. Data Analysis With Pandas/2. Starting With Pandas And iPython.mp465.33MB

20. Data Analysis With Pandas/3. Working with Jupyter Notebooks.mp419.56MB

20. Data Analysis With Pandas/4. Important Jupyter Notebook Commands.mp446.4MB

20. Data Analysis With Pandas/5. Working with CSV, Excel, TXT and JSON Files.mp454.77MB

20. Data Analysis With Pandas/6. Working with API Response.mp420.16MB

20. Data Analysis With Pandas/7. Indexing and Slicing Dataframe Tables [Part 1].mp429.27MB

20. Data Analysis With Pandas/8. Indexing and Slicing Dataframe Tables [Part 2].mp420.52MB

20. Data Analysis With Pandas/9. Deleting Columns and Rows.mp423.22MB

20. Data Analysis With Pandas/10. Adding and Updating new Columns and Rows.mp439.33MB