Python Programming

Module 1: Introduction to Python
1.1 Overview of Python and its features
1.2 Installing Python and setting up the development environment
1.3 Python syntax and basic program structure
1.4 Variables, data types, and operators in Python
Module 2: Control Flow and Loops
2.1 Conditional statements: if, else, elif
2.2 Looping structures: for loop, while loop
2.3 Iteration and control flow statements: break, continue
2.4 Understanding the flow of program execution
Module 3: Functions and Modules
3.1 Creating and calling functions
3.2 Function parameters and return values
3.3 Scope of variables in functions
3.4 Introduction to modules and importing modules in Python
Module 4: Data Structures
4.1 Lists, tuples, and dictionaries
4.2 Accessing and manipulating elements in data structures
4.3 List comprehensions and dictionary comprehensions
4.4 Working with sets and advanced data structures
Module 5: File Handling
5.1 Reading and writing files in Python
5.2 Handling file objects and file modes
5.3 Processing text and CSV files
5.4 Exception handling and error management
Module 6: Object-Oriented Programming (OOP)
6.1 Introduction to OOP concepts
6.2 Creating classes and objects
6.3 Class attributes and instance attributes
6.4 Inheritance and polymorphism
Module 7: Modules and Packages
7.1 Organizing code into modules and packages
7.2 Creating and importing custom modules
7.3 Exploring popular Python libraries and packages
7.4 Using external libraries to enhance program functionality
Module 8: Working with APIs and Web Services
8.1 Understanding APIs and web services
8.2 Making HTTP requests using Python
8.3 Parsing JSON and XML responses
8.4 Building API clients and integrating with web services
Module 9: Introduction to Database Integration
9.1 Connecting to databases using Python
9.2 Executing SQL queries and retrieving results
9.3 Performing CRUD operations with Python and databases
9.4 Database management and error handling
Module 10: Introduction to Web Development with Django
10.1 Overview of web development concepts
10.2 Introduction to Django framework
10.3 Creating a basic web application using Django
10.4 Handling HTTP requests and rendering responses
Module 11: Introduction to Data Analysis with Pandas
11.1 Introduction to data analysis and manipulation
11.2 Installing and importing Pandas library
11.3 Working with DataFrames and Series
11.4 Data cleaning, filtering, and transformation
Module 12: Introduction to Machine Learning with scikit-learn
12.1 Overview of machine learning concepts
12.2 Installing and importing scikit-learn library
12.3 Supervised and unsupervised learning algorithms
12.4 Building and evaluating machine learning models