Python Complete

 Python Basics

• Introduction to Python: 
  • history, features, and installation
  
  
• Python syntax and program structure
  • indentation, comments, and basic operators
  
  
• Data types and variables
  • integers, floating-point numbers, booleans, and None
  
  
• Strings and string manipulation: 
  • creating, indexing, slicing, and formatting strings
  
  
• Control flow statements:
  • if/else statements, for/while loops, and nested loops
  
  
• List comprehensions and lambda functions
• IDEs for Python: 
  • setting up and using an Integrated Development Environment (IDE) such as PyCharm or VS Code
  
  
• Hands-on exercises and coding challenges

 Data Structures and Functions

• Lists, tuples, and dictionaries: 
  • creating, indexing, slicing, modifying, and iterating through these data structures
  
  
• Functions and modules:
  • creating and using functions, organizing code into modules, and importing modules
  
  
• Input/output operations:
  • reading and writing files, handling errors and exceptions
  
  
• Installing and using external libraries
  • NumPy, Pandas, and Matplotlib for data analysis and visualization
  
  
• GUI programming with Tkinter:
  • creating graphical user interfaces (GUIs) with the Tkinter library
  
  
• Hands-on exercises and coding challenges

Object-Oriented Programming

• Object-oriented programming basics: 
  • defining classes and objects, encapsulation, and abstraction
  
  
• Classes and objects:
  • constructors, instance variables, and instance methods
  
  
• Inheritance and polymorphism:
  • defining subclasses, overriding methods, and using polymorphism
  
  
• Documentation with Sphinx:
  • documenting Python code using the Sphinx documentation tool
  
  
• Hands-on exercises and coding challenges

Debugging, Testing, and Advanced Topics

• Exception handling:
  • handling errors and exceptions in Python code
  
  
• Debugging techniques:
  • using print statements, debugging tools, and strategies for finding and fixing errors
  
  
• Testing with unittest module:
  • writing and running unit tests using the unittest module
  
  
• Advanced Python topics:
  • generators, decorators, context managers, and other advanced Python features
  
  
• Database programming with SQLAlchemy:
  • working with databases using the SQLAlchemy library
  
  
• Hands-on exercises and coding challenges

Web Development and Data Analysis

• Introduction to web scraping with Python:
  • using the requests and Beautiful Soup libraries to scrape data from websites
  
  
• Building a simple web application using Flask or Django frameworks:
  • creating a basic web application using one of these popular Python web frameworks, and deploying it to a server
  
  
• Data analysis and visualization with Pandas and Matplotlib: 
  • loading and manipulating data, performing data analysis, and creating visualizations with these powerful libraries
  
  
• SQL programming with Python: 
  • using Python to interact with SQL databases using the SQLAlchemy library
  
  
• Hands-on exercises and coding challenges

This Python training course is designed for individuals or groups who have little or no experience in Python programming and are interested in learning Python for data analysis, web development, or other applications. This course is suitable for software developers, data analysts, data scientists, researchers, and anyone who wants to learn Python programming from scratch. Participants should have basic computer skills, such as familiarity with Windows, macOS, or Linux operating systems and basic programming concepts.

S2887