Python

Python

Python Syllabus

Module 1: Introduction to Python

• What is Python? Features and Applications
• Installing Python and setting up the environment
• Python IDEs (IDLE, PyCharm, VS Code, Jupyter)
• Writing and running your first Python program
• Python syntax, indentation, and comments

Module 2: Python Basics

• Variables, constants, and data types
• Input and output functions
• Operators:
  • Arithmetic, relational, logical, assignment, and bitwise operators
• Typecasting and type checking

Module 3: Control Flow

• Conditional statements:
  • if, if-else, elif
• Loops:
  • for and while loops
  • Nested loops
• Loop control statements:
  • break, continue, pass

Module 4: Python Data Structures

• Strings:
  • String operations and slicing
• Lists:
  • Creating, indexing, slicing, and modifying lists
  • List methods
• Tuples:
  • Properties and operations
• Dictionaries:
  • Key-value pairs, accessing, adding, and modifying data
  • Dictionary methods
• Sets:
  • Properties, operations, and methods

Module 5: Functions and Modules

• Defining and calling functions
• Function arguments:
  • Positional, keyword, default, and variable-length arguments
• Return statement
• Lambda (anonymous) functions
• Importing and using modules:
  • Built-in modules (math, random, os, etc.)
  • Creating custom modules

Module 6: File Handling

• Reading and writing text files
• Working with CSV files
• File handling methods (open, read, write, close)
• Exception handling with file operations

Module 7: Object-Oriented Programming (OOP)

• Introduction to OOP concepts
• Creating and using classes and objects
• Class attributes and methods
• Constructors (__init__)
• Inheritance:
  • Single and multiple inheritance
• Polymorphism and method overriding

Module 8: Python Libraries and Frameworks (Introduction)

• NumPy: Basics of arrays, array operations
• Pandas: Dataframes, series, data manipulation
• Matplotlib/Seaborn: Plotting and data visualization
• Flask/Django: Introduction to web development with Python

Module 9: Error and Exception Handling

• Understanding exceptions
• Try, except, else, and finally blocks
• Raising exceptions
• Custom exceptions

Module 10: Advanced Topics

• Generators and iterators
• Decorators
• List comprehensions, dictionary comprehensions
• Regular expressions
• Working with JSON data

Module 11: Working with Databases

• Introduction to databases and SQL
• Connecting Python with databases:
  • SQLite and MySQL
• Performing CRUD operations with Python

Module 12: Python for Data Analysis (Optional)

• Working with data using Pandas
• Data cleaning and transformation
• Aggregating and grouping data
• Data visualization with Matplotlib and Seaborn

Module 13: Python for Automation

• Web scraping with BeautifulSoup
• Automating browser tasks with Selenium
• Automating file and folder operations