Python Course

?Python is a versatile, high-level programming language known for its simplicity and readability. Created by Guido van Rossum in the late 1980s, Python emphasizes code readability and ease of use.

It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python's syntax allows developers to express concepts in fewer lines of code than languages like C++ or Java.

It has a vast standard library and a thriving ecosystem of third-party packages. Python is widely used in web development, data science, artificial intelligence, automation, and more. Its popularity continues to grow, making it a valuable skill for programmers.

Python training classes employ an interactive and project-oriented approach to facilitate effective learning. Beginning with a comprehensive introduction to Python syntax, data types, and control structures, the classes emphasize hands-on coding exercises to reinforce theoretical concepts.

Object-oriented programming (OOP) principles, file handling, and library usage are covered in-depth to provide practical skills for application development. The curriculum also includes topics such as web development, data analysis, and machine learning, catering to diverse interests.

Regular assessments, collaborative discussions, and Q&A sessions ensure active engagement and understanding. The training places a strong emphasis on real-world problem-solving, allowing participants to build practical solutions and gain confidence in Python programming.

By the end of the course, participants are equipped with the skills to write Python code for various applications and industries.

Syllabus:

• 1. Introduction to Python:
• Overview of Python and its history
• Setting up the development environment (Python installation, IDEs)
• 2. Python Basics:
• Variables and data types (integers, floats, strings, lists, tuples, dictionaries)
• Operators and expressions
• Control flow (if statements, loops)
• Functions and modules
• 3. Advanced Data Structures:
• Sets
• Queues and Stacks
• Advanced list manipulations
• 4. Object-Oriented Programming (OOP):
• Classes and objects
• Inheritance and polymorphism
• Encapsulation and abstraction
• 5. File Handling:
• Reading and writing files
• Working with different file formats (text, CSV, JSON)
• 6. Exception Handling:
• Handling errors and exceptions
• Try, except, finally blocks
• 7. Python Standard Library:
• Exploring commonly used modules (e.g., math, random, datetime)
• 8. Web Development (Optional):
• Introduction to web frameworks (e.g., Flask, Django)
• Building simple web applications
• 9. Database Connectivity (Optional):
• Introduction to databases
• Connecting to databases using Python (e.g., SQLite, MySQL)
• 10. Data Science and Visualization (Optional):
• Introduction to data analysis with libraries like Pandas
• Data visualization with Matplotlib and/or Seaborn
• 11. Testing and Debugging:
• Writing and running tests
• Debugging techniques
• 12. Introduction to Version Control (Optional):
• Basic usage of Git for version control
• 13. Final Project:
• Applying knowledge gained in a hands-on project
• Solving a real-world problem using Python
• 14. Best Practices and Code Quality:
• PEP 8 (Python Enhancement Proposals)
• Writing clean and efficient code
• 15. Advanced Topics (Optional):
• Asynchronous programming
• Decorators and generators
• Introduction to machine learning with Python