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Python Training
Python Training
Curriculum
10 Sections
40 Lessons
40 Hours
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Module 1: Introduction to Python
4
1.1
Overview of Python and its applications
1.2
Installing Python and setting up the development environment
1.3
Writing and executing Python scripts
1.4
Understanding Python syntax, variables, and data types
Module 2: Control Structures & Functions
4
2.1
Conditional statements (if, elif, else)
2.2
Loops (for, while) and iteration techniques
2.3
Functions and modular programming
2.4
Lambda functions and recursion
Module 3: Data Structures in Python
4
3.1
Lists, Tuples, Sets, and Dictionaries
3.2
String manipulation and formatting
3.3
Working with files (reading, writing, and handling exceptions)
3.4
List comprehensions and dictionary comprehensions
Module 4: Object-Oriented Programming (OOP) in Python
4
4.1
Classes and objects
4.2
Constructors, destructors, and instance variables
4.3
Inheritance, polymorphism, and encapsulation
4.4
Working with modules and packages
Module 5: Working with Libraries & Frameworks
4
5.1
Introduction to NumPy and Pandas for data manipulation
5.2
Matplotlib and Seaborn for data visualization
5.3
Web scraping with BeautifulSoup and Requests
5.4
Automating tasks with Selenium
Module 6: Database Connectivity & File Handling
4
6.1
Working with SQLite and MySQL in Python
6.2
CRUD operations using Python and SQL
6.3
Handling JSON and CSV files
6.4
Introduction to APIs and data exchange
Module 7: Web Development with Python
4
7.1
Introduction to Flask and Django frameworks
7.2
Building web applications and REST APIs
7.3
Frontend and backend integration
7.4
Deploying Python web applications
Module 8: Python for Data Science & Machine Learning
4
8.1
Data analysis with Pandas
8.2
Introduction to machine learning with Scikit-learn
8.3
Working with Jupyter Notebooks
8.4
Basic AI and ML model building
Module 9: Python for Automation & Scripting
4
9.1
Writing automation scripts
9.2
Working with OS and system modules
9.3
Automating emails and file handling
9.4
Task scheduling and batch processing
Module 10: Capstone Project & Certification
4
10.1
Developing a real-world Python project
10.2
Code optimization and best practices
10.3
Resume building and interview preparation
10.4
Course completion and certification
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Working with files (reading, writing, and handling exceptions)
Classes and objects
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