Python

Unlock the power of Python with our comprehensive training on core concepts and practical applications.

Comprehensive learning for understanding Python programming through practical examples and hands-on exercises.

Introduction to Python
- Overview of Python and its features
- Basic syntax and data types
- Variables, operators, and control structures
Python Data Structures
- Lists, tuples, and dictionaries
- Sets and frozensets
- Basic data structure operations
Python Functions
- Defining and calling functions
- Function arguments and return values
- Lambda functions and map/reduce/filter
Python Modules and Packages
- Importing and using modules
- Creating and distributing packages
- Popular Python packages and libraries
Python File Input/Output
- Reading and writing text files
- Reading and writing CSV and JSON files
- Working with files and directories
Python Exception Handling
- Try/except blocks and exception types
- Raising and catching exceptions
- Best practices for error handling
Regular Expressions

Python Object-Oriented Programming
- Classes and objects
- Inheritance and polymorphism
- Encapsulation and abstraction
Python Decorators and Generators
- Defining and using decorators
- Creating and using generators
- Advanced decorator and generator techniques
Python Async Programming
- Introduction to async programming
- Using async/await and asyncio
- Advanced async programming techniques
Python Web Development
- Introduction to web development with Python
- Using Flask and Django
- Advanced web development techniques
Python Data Science and Visualization
- Introduction to data science with Python
- Using Pandas, NumPy, and Matplotlib
- Advanced data science and visualization techniques
Python Machine Learning
- Introduction to machine learning with Python
- Using scikit-learn and TensorFlow
- Advanced machine learning techniques
Testing using Python
- Best practices for writing clean and efficient code
- Using unit tests and integration tests