Module 1: Introduction to Python
- Overview of Python programming language
- Installing Python and setting up development environment
- Writing and executing simple Python scripts
- Understanding Python syntax and indentation
Module 2: Basic Python Concepts
- Variables, data types, and type conversion
- Operators and expressions
- Control flow structures (if statements, loops)
- Working with strings and string manipulation
Module 3: Data Structures in Python
- Lists, tuples, and dictionaries
- Accessing and manipulating elements in data structures
- List comprehensions and dictionary comprehensions
- Working with sets and frozen sets
Module 4: Functions and Modules
- Defining and calling functions
- Passing arguments to functions
- Returning values from functions
- Creating and importing modules in Python
Module 5: File Handling
- Opening, reading, writing, and closing files
- Working with text files and binary files
- Handling file exceptions and errors
- Using file-related functions and methods
Module 6: Object-Oriented Programming (OOP)
- Introduction to object-oriented programming concepts
- Defining classes and objects in Python
- Working with attributes, methods, and constructors
- Encapsulation, inheritance, and polymorphism
Module 7: Exception Handling
- Understanding exceptions and error handling in Python
- Using try-except blocks to handle exceptions
- Catching specific exceptions and raising custom exceptions
- Handling exceptions gracefully to prevent program crashes
Module 8: Intermediate Python Concepts
- Working with advanced data types (e.g., sets, collections)
- Iterators and generators for efficient memory usage
- Decorators for enhancing function behavior
- Using context managers for resource management
Module 9: Working with Files and Directories
- Using os and shutil modules for file and directory operations
- File I/O operations for working with text and binary files
- Manipulating file paths and directory structures
Module 10: Introduction to Libraries and Packages
- Overview of Python libraries and packages
- Installing and importing external libraries using pip
- Exploring commonly used libraries (e.g., NumPy, Pandas, Matplotlib)
Module 11: Introduction to Data Analysis with Pandas
- Overview of Pandas library for data manipulation and analysis
- Working with Series and DataFrame objects
- Data cleaning, filtering, and transformation
- Data aggregation and statistical analysis
Module 12: Introduction to Data Visualization with Matplotlib
- Overview of Matplotlib library for data visualization
- Creating basic plots (line plots, scatter plots, bar plots)
- Customizing plot appearance and adding annotations
- Saving plots to file and integrating them into reports
Module 13: Introduction to Web Scraping with BeautifulSoup
- Overview of web scraping and its applications
- Installing and using BeautifulSoup for HTML parsing
- Extracting data from HTML elements and attributes
- Scraping data from websites and saving it to file
Module 14: Introduction to GUI Programming with Tkinter
- Overview of Tkinter library for building graphical user interfaces (GUIs)
- Creating and organizing GUI components (widgets)
- Handling events and user interactions
- Building simple desktop applications using Tkinter
Module 15: Introduction to Database Programming with SQLite
- Overview of SQLite database and its features
- Connecting to SQLite database and executing SQL queries
- Creating, querying, and modifying database tables
- Using SQLite with Python for data storage and retrieval
This syllabus covers the essential concepts and skills needed to become proficient in Python programming. Depending on the participants’ prior knowledge, learning pace, and specific objectives, the course content can be adjusted and customized accordingly. Additionally, hands-on exercises, projects, and real-world applications should be incorporated throughout the training to reinforce learning and facilitate skill development in Python programming.
