Complete Python Mastery

سرفصل های دوره

Everything you need to program in Python in one course (includes 3 real-world projects)

1. Getting Started

1. What is Python

2. Installing Python

3. Python Interpreter

4. Code Editors

5. Your First Python Program

6. Python Extension

7. Linting Python Code

8. Formatting Python Code

9. Running Python Code

10. Python Implementations

11. How Python Code is Executed

12. Quiz

2. Primitive Types

1. Variables

2. Variable Names

3. Strings

4. Escape Sequences

5. Formatted Strings

6. String Methods

7. Numbers

8. Working with Numbers

9. Type Conversion

10. Quiz

3. Control Flow

1. Comparison Operators

2. Conditional Statements

3. Ternary Operator

4. Logical Operators

5. Short-circuit Evaluation

6. Chaining Comparison Operators

7. Quiz

8. For Loops

9. For..Else

10. Nested Loops

11. Iterables

12. While Loops

13. Infinite Loops

14. Exercise

4. Functions

1. Defining Functions

2. Arguments

3. Types of Functions

4. Keyword Arguments

5. Default Arguments

6. xargs

7. xxargs

8. Scope

9. Debugging

10. VSCode Coding Tricks . Windows

11. VSCode Coding Tricks . Mac

12. Exercise

13. Solution

5. Data Structures

1. Lists

2. Accessing Items

3. List Unpacking

4. Looping over Lists

5. Adding or Removing Items

6. Finding Items

7. Sorting Lists

8. Lambda Functions

9. Map Function

10. Filter Function

11. List Comprehensions

12. Zip Function

13. Stacks

14. Queues

15. Tuples

16. Swapping Variables

17. Arrays

18. Sets

19. Dictionaries

20. Dictionary Comprehensions

21. Generator Expressions

22. Unpacking Operator

23. Exercise

6. Exceptions

1. Exceptions

2. Handling Exceptions

3. Handling Different Exceptions

4. Cleaning Up

5. The With Statement

6. Raising Exceptions

7. Cost of Raising Exceptions

7. Classes

1. Classes

2. Creating Classes

3. Constructors

4. Class vs Instance Attributes

5. Class vs Instance Methods

6. Magic Methods

7. Comparing Objects

8. Performing Arithmetic Operations

9. Making Custom Containers

10. Private Members

11. Properties

12. Inheritance

13. The Object Class

14. Method Overriding

15. Multi-level Inheritance

16. Multiple Inheritance

17. A Good Example of Inheritance

18. Abstract Base Classes

19. Polymorphism

20. Duck Typing

21. Extending Built-in Types

22. Data Classes

8. Modules

1. Creating Modules

2. Compiled Python Files

3. Module Search Path

4. Packages

5. Sub-packages

6. Intra-package References

7. The dir Function

8. Executing Modules as Scripts

9. Python Standard Library

1. Python Standard Library

2. Working With Paths

3. Working with Directories

4. Working with Files

5. Working with Zip Files

6. Working with CSV Files

7. Working with JSON Files

8. Working with a SQLite Database

9. Working with Timestamps

10. Working with DateTimes

11. Working with Time Deltas

12. Generating Random Values

13. Opening the Browser

14. Sending Emails

15. Templates

16. Command-line Arguments

17. Running External Programs

10. Python Package Index

1. Pypi

2. Pip

3. Virtual Environments

4. Pipenv

5. Virtual Environments in VSCode

6. Pipfile

7. Managing Dependencies

8. Publishing Packages

9. Docstrings

10. Pydoc

11. Popular Python Packages

1. Introduction

2. What are APIs

3. Yelp API

4. Searching for Businesses

5. Hiding API Key

6. Sending Text Messages

7. Web Scraping

8. Browser Automation

9. Working with PDFs

10. Working with Excel Spreadsheets

11. Command Query Separation Principle

12. NumPy

12. Building Web Applications with Django

1. Introduction

2. Your First Django Project

3. Your First App

4. Views

5. Models

6. Migrations

7. Changing the Models

8. Admin

9. Customizing the Admin

10. Database Abstraction API

11. Templates

12. Adding Bootstrap

13. Customizing the Layout

14. Sharing a Template Across Multiple Apps

15. Url Parameters

16. Getting a Single Object

17. Raising 404 Errors

18. Referencing Urls

19. Creating APIs

20. Adding the Homepage

21. Getting Ready to Deploy

22. Deployment

13. Machine Learning with Python

1. What is Machine Learning

2. Machine Learning in Action

3. Libraries and Tools

4. Importing a Data Set

5. Jupyter Shortcuts

6. A Real Machine Learning Problem

7. Preparing the Data

8. Learning and Predicting

9. Calculating the Accuracy

10. Persisting Models

11. Visualizing a Decision Tree

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تاریخ انتشار: ۱۴ اردیبهشت ۱۴۰۳