Python Programming

Master Python Programming is a comprehensive course designed to take you from the basics to advanced concepts of Python. Learn essential programming skills, work with data structures, master OOP, automate tasks, and analyze data using popular libraries like NumPy and Pandas. Perfect for beginners and professionals looking to enhance their coding expertise and solve real-world problems efficiently.

Join this Course

Responsible	RKsTechAdemy
Last Update	31/12/2024
Members	1

Course

Advanced

1. Introduction to Python

10Lessons ·
- 1.1 What is Python?
  
  Preview
- 1.1.1 Overview of Python and its features
  
  Preview
- 1.1.2 History and evolution of Python
  
  Preview
- 1.1.3 Applications of Python in real-world scenarios
  
  Preview
- 1.2 Setting Up the Environment
  
  Preview
- 1.2.1 Installing Python and IDEs (e.g., PyCharm, VSCode, Jupyter)
  
  Preview
- 1.2.2 Writing your first Python script
  
  Preview
- 1.3 Python Syntax and Structure
  
  Preview
- 1.3.1 Basics of Python syntax
  
  Preview
- 1.3.2 Indentation rules and code organization
  
  Preview
2. Python Basics

13Lessons ·
- 2.1 Variables and Data Types
  
  Preview
- 2.1.1 Numbers, strings, booleans
  
  Preview
- 2.1.2 Dynamic typing and type conversion
  
  Preview
- 2.2 Input and Output
  
  Preview
- 2.2.1 Accepting user input using input()
  
  Preview
- 2.2.2 Printing output with print()
  
  Preview
- 2.3 Basic Operators
  
  Preview
- 2.3.1 Arithmetic, comparison, and logical operators
  
  Preview
- 2.3.2 Operator precedence
  
  Preview
- 2.4 Control Flow Statements
  
  Preview
- 2.4.1 If, else, elif
  
  Preview
- 2.4.2 Loops: for, while
  
  Preview
- 2.4.3 Break, Continue, and Pass in Python
  
  Preview
3. Working with Data Structures

8Lessons ·
- 3.1 Lists
  
  Preview
- 3.1.1 Creating, accessing, slicing, and modifying lists
  
  Preview
- 3.2 Tuples
  
  Preview
- 3.2.1 Immutable sequences and their use cases
  
  Preview
- 3.3 Dictionaries
  
  Preview
- 3.3.1 Key-value pairs and dictionary operations
  
  Preview
- 3.4 Sets
  
  Preview
- 3.4.1 Unique collections and set operations
  
  Preview
4. Functions and Modules

8Lessons ·
- 4.1 Defining and Calling Functions
  
  Preview
- 4.1.1 Parameters, arguments, and return values
  
  Preview
- 4.2 Built-in Functions
  
  Preview
- 4.2.1 Overview of commonly used built-in functions
  
  Preview
- 4.3 Importing and Using Modules
  
  Preview
- 4.3.1 Creating custom modules
  
  Preview
- 4.4 Lambda Functions
  
  Preview
- 4.4.1 Anonymous functions and their applications
  
  Preview
5. Object-Oriented Programming (OOP)

8Lessons ·
- 5.1 Classes and Objects
  
  Preview
- 5.1.1 Defining classes and creating objects
  
  Preview
- 5.2 Attributes and Methods
  
  Preview
- 5.2.1 Instance variables and methods
  
  Preview
- 5.3 Inheritance and Polymorphism
  
  Preview
- 5.3.1 Extending classes and method overriding
  
  Preview
- 5.4 Encapsulation
  
  Preview
- 5.4.1 Private and protected attributes
  
  Preview
6. File Handling

6Lessons ·
- 6.1 Reading and Writing Files
  
  Preview
- 6.1.1 Using open(), read(), write(), close() and with
  
  Preview
- 6.2 Working with CSV Files
  
  Preview
- 6.2.1 Using the csv module
  
  Preview
- 6.3 Working with JSON Files
  
  Preview
- 6.3.1 Parsing and writing JSON
  
  Preview
7. Error and Exception Handling

6Lessons ·
- 7.1 Understanding Exceptions
  
  Preview
- 7.1.1 Common exceptions in Python
  
  Preview
- 7.2 Try-Except Blocks
  
  Preview
- 7.2.1 Writing robust error-handling code
  
  Preview
- 7.3 Raising Exceptions
  
  Preview
- 7.3.1 Custom exceptions using raise
  
  Preview
8. Python for Data Analysis

6Lessons ·
- 8.1 Introduction to NumPy
  
  Preview
- 8.1.1 Arrays and mathematical operations
  
  Preview
- 8.2 Introduction to Pandas
  
  Preview
- 8.2.1 DataFrames and data manipulation
  
  Preview
- 8.3 Data Visualization
  
  Preview
- 8.3.1 Plotting with Matplotlib and Seaborn
  
  Preview
9. Advanced Topics in Python

6Lessons ·
- 9.1 Generators and Iterators
  
  Preview
- 9.1.1 Efficient iteration with generators
  
  Preview
- 9.2 Decorators
  
  Preview
- 9.2.1 Enhancing functions dynamically
  
  Preview
- 9.3 Regular Expressions
  
  Preview
- 9.3.1 Pattern matching with re module
  
  Preview
10. Working with APIs

6Lessons ·
- 10.1 Making API Requests
  
  Preview
- 10.1.1 Using requests to interact with APIs
  
  Preview
- 10.2 Parsing JSON Responses
  
  Preview
- 10.2.1 Extracting data from API outputs
  
  Preview
- 10.3 Building a Simple API
  
  Preview
- 10.3.1 Using Flask or FastAPI for basic API development
  
  Preview
11. Python for Automation

5Lessons ·
- 11.1 Web Scraping
  
  Preview
- 11.1.1 Using BeautifulSoup and Scrapy
  
  Preview
- 11.2 Automating Tasks
  
  Preview
- 11.2.1 Using os and shutil for file management
  
  Preview
- 11.2.2 Automating browser actions with Selenium
  
  Preview
12. Capstone Projects

6Lessons ·
- 12.1 Data Analysis Project
  
  Preview
- 12.1.1 Analyzing datasets and visualizing insights
  
  Preview
- 12.2 Automation Project
  
  Preview
- 12.2.1 Automating repetitive tasks with Python scripts
  
  Preview
- 12.3 Web Scraping Project
  
  Preview
- 12.3.1 Building a scraper to extract data from websites
  
  Preview
13. Final Assessment and Quizzes

3Lessons ·
- Multiple-choice questions
  
  Preview 10 xp
- Hands-on coding challenges
  
  Preview
- Solution: Hands-On Coding Challenges
  
  Preview