Python Training

History and background of Python

Installing Python and setting up the environment

Data types, variables, and operators

Basic input/output and control structures

Creating and using functions

Passing arguments and returning values

Modules and packages

Working with built-in and third-party modules

Lists, tuples, and dictionaries

Strings and regular expressions

Sets and frozen sets

Collections module

Classes and objects

Inheritance and polymorphism

Abstract classes and interfaces

Exceptions and error handling

Reading and writing files

Working with CSV and JSON files

Byte streams and binary files

Using context managers

Overview of web development and HTTP

Web frameworks (e.g. Flask, Django)

HTML, CSS, and JavaScript basics

Working with databases (e.g. SQLite, MySQL)

NumPy and Pandas for data manipulation

Data visualization with Matplotlib and Seaborn

Data cleaning and preprocessing

Machine learning basics

Unit testing and test-driven development

Debugging techniques and tools

Using the Python debugger

Best practices for testing and debugging

Introduction to concurrency and parallelism

Threads and processes in Python

Synchronization and communication

Using the multiprocessing and threading modules

Networking basics (e.g. TCP/IP, sockets)

Client-server architecture

Working with HTTP requests and responses

Developing networked applications

Using Python for automation and scripting

Working with system resources (e.g. files, directories)

Automating tasks with cron and scheduling

Interacting with the operating system

Decorators and metaclasses

Generators and coroutines

Context managers and the with statement

Using C extensions and embedding Python