Python Programming: The Complete Python Bootcamp 2024

سرفصل های دوره

Python from Scratch. Learn Data Science and Visualization, Automation, Excel, SQL and Scraping with Python.100% Hands-On

1. Introduction

1. Why Python Programming Why Now

2. How to Get the Most Out of this Course

3.1 004 The Complete Python Cheat Sheet.html

3. The Complete Python Cheat Sheet.html

2. Setting up the Developer Environment

1. Python Installation

2. Running Python Code in a Cloud IDE

3. Installing Python on Windows

4.1 004 Installing Python on Linux and macOS.html

4. Installing Python on Linux and macOS.html

5. Installing PyCharm IDE on Windows

6.1 006 Installing PyCharm IDE on Linux and macOS.html

6. Installing PyCharm IDE on Linux and macOS.html

7. Running Python Code using the Python Interpreter

8. Running Python Scripts Using PyCharm

9. Running Python Scripts Using the Command Line

10.1 external-links.txt

10. Resources.html

3. Python Basics

1. Variables

2. Naming Conventions

3. Comments

4. Constants

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Dynamic vs. Static Typing

7. Built-in Types

8. Numbers and Math Operators

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10.1 010 Coding Exercise Solution.html

10. Coding Exercise Solution.html

11. Assignment Operators

12. Comparison Operators

13. Identity Operators. Mutability vs. Immutability

14. Floating Point Arithmetic Issue and Limitations

15. Solving the Float Problem. Writing Bugs-Free Code

16.1 016 Python Basics Cheat Sheet.html

16. Python Basics Cheat Sheet.html

4. Hands- On Challenges Python Basics

1.1 001 Challenges - Python Basics.html

1. Challenges - Python Basics.html

5. Strings in Python

1. Introduction to Strings

2.1 002 Coding Exercise Solution.html

2. Coding Exercise Solution.html

3. Get User Input

4. Converting Types

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Project BMI Calculator

7. String Indexing

8. Concatenating and Repeating Strings

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10. String Slicing

11.1 011 Coding Exercise Solution.html

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12.1 012 Coding Exercise Solution.html

12. Coding Exercise Solution.html

13. Formatting Strings f-string

14. Intro to String Methods

15. Useful String Methods

16.1 016 Coding Exercise Solution.html

16. Coding Exercise Solution.html

17.1 017 Python Strings Cheat Sheet.html

17. Python Strings Cheat Sheet.html

6. Hands-On Challenges Python Strings

1.1 001 Challenges - Python Strings.html

1. Challenges - Python Strings.html

7. Program Flow Control In Python

1. Conditional Statements

2. Indentation

3. Nested ifelifelse Statements

4. Boolean Variables

5. Logical (Boolean) Operators AND and OR

6. Logical (Boolean) Operators NOT

7.1 007 Coding Exercise Solution.html

7. Coding Exercise Solution.html

8. Python Loops

1. For Loops

2. Debugging Your Code Step Through Your Program

3. Ranges

4.1 004 Coding Exercise Solution.html

4. Coding Exercise Solution.html

5. Loops and Ranges

6. Project Password Generator

7. For, continue and pass Statements

8. For, else and break Statements

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10. While Loops

11. While and continue Statements

12. While and break Statement

13.1 013 Coding Exercise Solution.html

13. Coding Exercise Solution.html

14. Walrus Operator

15.1 015 Python Flow Control and Loops Cheat Sheet.html

15. Python Flow Control and Loops Cheat Sheet.html

9. Hands - On Challenges Flow Control and Loops

1.1 001 Challenges Flow Control and Loops.html

1. Challenges Flow Control and Loops.html

10. Lists in Python

1. Intro to Lists

2. Lists in Concatenation, Append and Extend

3. List Slicing and Iteration

4. Python List Gotchas

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Lists Methods Part 1 Append, Extend, Insert, Copy, Clear, Pop, Remove

7. Lists Methods Part 2 Index, Count, Sort, Max, Min and Sum

8. String to List and List to String Split and Join

9. Project Extract IPv4, IPv6 and MAC Addresses

10.1 010 Coding Exercise Solution.html

10. Coding Exercise Solution.html

11.1 011 Coding Exercise Solution.html

11. Coding Exercise Solution.html

12. List Comprehension - Part 1

13. List Comprehension - Part 2

14. Project Countries With the LongestShortest Names

15.1 015 Coding Exercise Solution.html

15. Coding Exercise Solution.html

16.1 016 Python Lists Cheat Sheet.html

16. Python Lists Cheat Sheet.html

11. Hands-On Challenges Lists

1.1 001 Challenges Lists.html

1. Challenges Lists.html

12. Tuples in Python

1. Intro to Tuples

2. Tuple Operations

3. Tuple Methods

4. Tuples vs. Lists

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6.1 006 Python Tuples Cheat Sheet.html

6. Python Tuples Cheat Sheet.html

13. Sets and Frozensets in Python

1. Intro to Sets

2.1 002 Coding Exercise Solution.html

2. Coding Exercise Solution.html

3. Set Methods Part 1 Add, Remove, Discard, Pop, Clear, Copy

4. Set Methods Part 2 Union, Intersection, Difference, Symmetric Difference

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Set Time Complexity and Big-O Notation

7. Fronzensets

8.1 008 Python Sets Cheat Sheet.html

8. Python Sets Cheat Sheet.html

14. Dictionaries in Python

1. Intro to Dictionaries

2. Working with Dictionaries

3.1 003 Coding Exercise Solution.html

3. Coding Exercise Solution.html

4.1 004 Coding Exercise Solution.html

4. Coding Exercise Solution.html

5. Dictionary Operations and Methods - Part 1

6. Dictionary Operations and Methods - Part 2

7.1 007 Coding Exercise Solution.html

7. Coding Exercise Solution.html

8. Project American Phonetic Alphabet

9. Dictionary and Set Comprehensions

10.1 010 Coding Exercise Solution.html

10. Coding Exercise Solution.html

11.1 011 Python Dictionaries Cheat Sheet.html

11. Python Dictionaries Cheat Sheet.html

15. Hands-On Challenges Sets and Dictionaries

1.1 001 Challenges Sets and Dictionaries.html

1. Challenges Sets and Dictionaries.html

16. Functions in Python

1. Intro to Functions

2. Docstrings

3. Positional and Keyword Arguments

4. Default Arguments

5. The return Keyword

6.1 006 Coding Exercise Solution.html

6. Coding Exercise Solution.html

7. Variable-length Arguments args

8. Variable-length Arguments kwargs

9. Scopes and Namespaces

10. One More Word about Scopes and Namespaces

11.1 011 Coding Exercise Solution.html

11. Coding Exercise Solution.html

12. Lambda Expressions

13.1 013 Python Functions Cheat Sheet.html

13. Python Functions Cheat Sheet.html

17. Hands-On Coding Challenges - Functions

1.1 001 Challenges - Functions.html

1. Challenges - Functions.html

18. Working with Text Files in Python

1. Opening and Reading Files

2. Absolute and Relative Paths

3. Reading Files Tell, Seek and Cursors

4. The with Statement

5. Reading Files into a List

6.1 006 Coding Exercise Solution.html

6. Coding Exercise Solution.html

7. Writing to Text Files

8. Project File Processing

9.1 009 Python Working with Files Cheat Sheet.html

9. Python Working with Files Cheat Sheet.html

19. Hands-On Coding Challenges - Working With Text Files

1.1 001 Hands-On Challenges - Working With Text Files.html

1. Hands-On Challenges - Working With Text Files.html

20. Errors and Exception Handling

1. Intro to Exceptions

2. Exceptions Handling Try...Except...Else...Finally

3. Built-in Exceptions and Best Practices

4. Project Test Network Connections

5.1 005 Python Exceptions Cheat Sheet.html

5. Python Exceptions Cheat Sheet.html

21. Object Oriented Programming Classes and Objects

1. Intro to Object Oriented Programming (OOP)

2. OOP Demonstration The Turtle

3. Defining Classes and Objects

4. The init Method

5. The del Method

6.1 006 Coding Exercise Solution.html

6. Coding Exercise Solution.html

7. Instance Attributes and Class Attributes

8. Magic Methods

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10.1 010 Python OOP Cheat Sheet.html

10. Python OOP Cheat Sheet.html

22. Your First Milestone

1. Important Milestone

2.1 002 Python Cheat Sheet.html

2. Python Cheat Sheet.html

23. MASSIVE SECTION OF CODING CHALLENGE EXERCISES

1.1 001 Section Introduction.html

1. Section Introduction.html

2.1 002 Coding Exercise Solution.html

2. Coding Exercise Solution.html

3.1 003 Coding Exercise Solution.html

3. Coding Exercise Solution.html

4.1 004 Coding Exercise Solution.html

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10.1 010 Coding Exercise Solution.html

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12.1 012 Coding Exercise Solution.html

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14. Coding Exercise Solution.html

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24. Coding Exercise Solution.html

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25. Coding Exercise Solution.html

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27.1 027 Coding Exercise Solution.html

27. Coding Exercise Solution.html

28.1 028 Coding Exercise Solution.html

28. Coding Exercise Solution.html

24. Working with Python Modules

1. Intro to Python Modules

2. Importing Modules

3. Custom Modules. name and main

4.1 004 Coding - Importing Python Modules.html

4. Coding - Importing Python Modules.html

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Manage External Modules with Pip

25. Very Useful Python Built-in Modules

1. System-specific Parameters and Functions The Sys Module

2. Scripts Arguments sys.argv

3.1 003 Coding - The Sys module.html

3. Coding - The Sys module.html

4. Operating System Interfaces The Os Module

5. Project File Renaming Automation Using Sys and Os Module

6.1 006 Coding - The Os Module.html

6. Coding - The Os Module.html

7. High-level File Operations The Shutil Module

8.1 008 Coding - The Shutil Module.html

8. Coding - The Shutil Module.html

9. Running System Commands The Os Module

10. Running System Commands The Subprocess Module

11.1 011 Coding - Running System (shell) Commands.html

11. Coding - Running System (shell) Commands.html

12. The Random Module

13.1 013 Coding - The Random Module.html

13. Coding - The Random Module.html

14. Decimal Arithmetic and Decimal Module Solving the Float Problem

15. The Decimal Module Contexts and Methods

16.1 016 Coding - The decimal Module.html

16. Coding - The decimal Module.html

17. Sending Text Emails With Python (SMTPLIB)

18. Sending HTML Emails With Python

19. Adding Attachments

26. Decorators in Python

1. High Order Functions

2. Inner Functions, Closures and Free Variables

3.1 003 Coding - Closures.html

3. Coding - Closures.html

4. Creating and Using Decorators

5. The @ Syntax

6. Decorators with Different Signatures (args, kwargs)

7. Introspection Using @functools.wraps() to Preserve Metadata

8.1 008 Coding - Decorators Template.html

8. Coding - Decorators Template.html

9. Decorators Application Speed Test

10.1 010 Application Source Code.html

10. Application Source Code.html

27. Working with CSV Files in Python

1. Intro to CSV

2. Reading CSV Files

3.1 003 Coding - Reading CSV Files.html

3. Coding - Reading CSV Files.html

4. Writing CSV Files

5.1 005 Coding - Writing CSV Files.html

5. Coding - Writing CSV Files.html

6. Using Custom Delimiters

7. Using CSV Dialects

8.1 008 Coding - Custom CSV Files and Dialects.html

8. Coding - Custom CSV Files and Dialects.html

28. Hands-On Coding Challenges - Working With CSV Files

1.1 001 Hands-On Challenges - Working With CSV Files.html

1. Hands-On Challenges - Working With CSV Files.html

29. Data Serialization and Deserialization in Python Pickle and JSON

1. Intro to Data Serialization

2. Pickle Data Serialization and Deserialization

3.1 003 Coding - Pickle.html

3. Coding - Pickle.html

4. JSON Data Serialization

5. JSON Data Deserialization

6.1 006 Coding - JSON.html

6. Coding - JSON.html

7. Assignment JSON and RequestsREST API

8. Assignment Answer JSON and RequestsREST API

9.1 009 Coding Challenge Simplify Serialization.html

9. Coding Challenge Simplify Serialization.html

10.1 010 Coding Challenge Solution Simplify Serialization.html

10. Coding Challenge Solution Simplify Serialization.html

11.1 011 Coding Challenge - JSON and RequestsREST API.html

11. Coding Challenge - JSON and RequestsREST API.html

12.1 012 Coding Challenge Solution - JSON and RequestsREST API.html

12. Coding Challenge Solution - JSON and RequestsREST API.html

30. Working with Excel Files in Python

1. Setup the Environment. Installing OpenPyXL

2. Excel Basics

3. Reading Excel Files

4. Reading Data in a Cell Range

5.1 005 Coding - Reading Excel Files.html

5. Coding - Reading Excel Files.html

6. Writing Excel Files

7.1 007 Coding - Writing Excel Files.html

7. Coding - Writing Excel Files.html

8. Creating New Excel Files

9.1 009 Coding - Creating New Excel Files.html

9. Coding - Creating New Excel Files.html

10. Using Excel Formulas

11.1 011 Coding - Excel Formulas.html

11. Coding - Excel Formulas.html

12. Sheets Operations

13.1 013 Coding - Sheets Operations.html

13. Coding - Sheets Operations.html

14. Working with Styles

15.1 015 Coding - Working with Styles.html

15. Coding - Working with Styles.html

31. Hands-On Coding Challenges - Working With Excel Files

1.1 001 Hands-On Challenges - Working With Excel Files.html

1. Hands-On Challenges - Working With Excel Files.html

32. Working with SQL Databases in Python

1. Intro to SQLite

2. When to Use SQLite

3. Connecting to a SQLite DB and Creating Tables with Python

4.1 004 Coding - Connecting to an SQLite DB and Creating Tables.html

4. Coding - Connecting to an SQLite DB and Creating Tables.html

5. Inserting with Python

6.1 006 Coding - Inserting.html

6. Coding - Inserting.html

7. Selecting with Python

8.1 008 Coding - Selecting.html

8. Coding - Selecting.html

9. Parameterized Sql Statements

10.1 010 Coding - Parameterized Sql Statements.html

10. Coding - Parameterized Sql Statements.html

11. Updating with Python

12.1 012 Coding - Updating.html

12. Coding - Updating.html

13. Deleting with Python

14.1 014 Coding - Deleting.html

14. Coding - Deleting.html

33. Data Analysis with Pandas

1. Intro to Jupyter Notebook. Installing Jupyter Notebook

2. How to use Jupyter Notebook

3. Intro to Pandas. Installing Pandas

4. Pandas Series

5.1 005 Coding - Pandas Series.html

5. Coding - Pandas Series.html

6. Pandas DataFrames I. Working with Columns

7. Pandas DataFrames I. Working with Rows

8.1 008 Coding - Working with Rows and Columns.html

8. Coding - Working with Rows and Columns.html

9. Pandas DataFrames II. Filtering Data

10.1 010 Coding - Filtering Data.html

10. Coding - Filtering Data.html

11. Reading and Analyzing CSV Files with Pandas

12.1 012 Coding - Reading and Analyzing CSV Files.html

12. Coding - Reading and Analyzing CSV Files.html

13. Reading Excel Files. GroupBy and Other Useful Operations

14.1 014 Coding - Reading Excel Files and GroupBy.html

14. Coding - Reading Excel Files and GroupBy.html

15. Reading and Analyzing HTML Pages with Pandas

16.1 016 Coding - Reading HTML Files.html

16. Coding - Reading HTML Files.html

17. Working with Missing Data

18.1 018 Coding - Working with Missing Data.html

18. Coding - Working with Missing Data.html

34. Interactive Data Visualization with Plotly

1. Intro to Python Visualization Libraries

2.1 002 Installing Plotly.html

2. Installing Plotly.html

3. Creating Scatter Plots

4.1 004 Coding - Scatter Plots.html

4. Coding - Scatter Plots.html

5. Creating Line Charts

6.1 006 Coding - Line Charts.html

6. Coding - Line Charts.html

7. PROJECT Line Charts for Ethereum and Tesla Stock Price

8. PROJECT SOLUTION Line Charts for Ethereum and Tesla Stock Price

9. Creating Basic Bar Charts

10. Creating Grouped and Stacked Bar Charts

11.1 011 Coding - Bar Charts.html

11. Coding - Bar Charts.html

12. Creating Pie Charts

13.1 013 Coding - Pie Charts.html

13. Coding - Pie Charts.html

14. Creating Histograms

15.1 015 Coding - Histograms.html

15. Coding - Histograms.html

35. Requests and Web Scraping with Python

1. Intro to Web Scraping using Requests and BeautifulSoup

2. Setup the Environment. Installing Requests and BeautifulSoup

3. Diving into Requests HTTP Library

4.1 004 Coding - Requests Library.html

4. Coding - Requests Library.html

5. Diving into BeautifulSoup Library

6.1 006 Coding - BeautifulSoup Library.html

6. Coding - BeautifulSoup Library.html

7. Project Real-World Web Scraping (Requests, BeautifulSoup and OpenPyXL)

36. Python Multiprocessing and Multithreading In Depth

1. Python Parallel Processing Theory

2. Multiprocessing vs. Multithreading

3. Multithreading and Multiprocessing Pros and Cons

4. Implementing Multiprocessing in Python

5.1 005 Coding - Implementing Multiprocessing.html

5. Coding - Implementing Multiprocessing.html

6. Implementing Multithreading in Python

7.1 007 Coding - Implementing Multithreading.html

7. Coding - Implementing Multithreading.html

8. Sharing Data Between Processes using Value

9.1 009 Coding - Sharing Data Using Value.html

9. Coding - Sharing Data Using Value.html

10. Sharing Data Between Processes using Array

11.1 011 Coding - Sharing Data using Array.html

11. Coding - Sharing Data using Array.html

12. Implementing Multiprocessing Locks

13.1 013 Coding - Implementing Locks.html

13. Coding - Implementing Locks.html

37. Building Concurrent Applications Using Async IO

1. Python Concurrency Ecosystem

2. Implementing Async IO

3.1 003 Coding - Implementing Async IO.html

3. Coding - Implementing Async IO.html

4. Building an Asynchronous Web Scraper

5.1 005 Coding - Building an Async Web Scraper.html

5. Coding - Building an Async Web Scraper.html

6. Running Shell Commands (Subprocesses) Asynchronously

7.1 007 Coding - Running Shell Commands.html

7. Coding - Running Shell Commands.html

8. AsyncSSH Asynchronous SSH

9. AsyncSSH Running Multiple Clients

10.1 010 Coding - AsyncSSH (Multiple Clients).html

10. Coding - AsyncSSH (Multiple Clients).html

38. [EXTRA] Network Automation with Python

1. Section Introduction

2.1 002 The Lab Environment.html

2. The Lab Environment.html

3.1 003 Download and Install the Required Software GNS3, VirtualBox, Linux,Cisco Images.html

3. Download and Install the Required Software GNS3, VirtualBox, Linux,Cisco Images.html

4.1 004 Where do I get Cisco IOS Images.html

4. Where do I get Cisco IOS Images.html

5. Just a few Words about Windows Installation

6. Installing GNS3 on Windows 10

7. Running Cisco IOU Images in GNS3 on Windows 10

8. Connecting to Cisco IOU Images Running in GNS3 from Window 10

9. Bytes Objects, Encoding and Decoding

10. Telnet Protocol Basics. Configure and Connect to Cisco Devices

11. Connecting to Cisco Networking Devices with Telnet from Python

12. Getpass Module

13. Network Automation using Telnet. Configure Multiple Cisco Devices

14. Intro to Paramiko

15. Enable SSH on Cisco Devices

16. Connecting to Networking Devices using Paramiko

17. Using kwargs and Arguments Unpacking

18. Running a Command on a Cisco Device using Paramiko(SSH)

19. Running a Command on Linux using Paramiko(SSH)

20. Secure Copying Files to Linux with SCP and Paramiko from Python

21. Intro to Netmiko

22. Connecting and Running a Command on a Cisco Networking Device

23. Netmiko prompt. Enable & Global Config Mode

24. Running Multiple Commands on a Cisco Networking Device

25. Configure a Cisco Networking Device from a File

26. Configure Multiple Cisco Networking Devices from Multiple Files

27. Configure Backup using Netmiko

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