Python Data Types
Built-in types like int, float, str, list, dict, and tuple.
CoreConceptLab
29 Concepts Explained
Built-in types like int, float, str, list, dict, and tuple.
Reusable blocks of code defined with def keyword.
Functions that modify the behavior of other functions.
Functions that yield values one at a time using yield keyword.
Reusable Python files that group functions and classes.
Collections of modules organized with __init__.py.
Defining classes, objects, inheritance, and polymorphism.
Managing errors with try, except, finally blocks.
Reading and writing files using open(), read(), write().
Isolated environments for managing dependencies.
Python package installer for managing libraries.
Introduction to Django framework for web development.
Defining routes and handling requests in Flask.
Object Relational Mapping with Django ORM or SQLAlchemy.
Testing code with unittest or pytest frameworks.
Asynchronous programming with async and await keywords.
Running multiple threads concurrently in Python.
Running multiple processes for parallel execution.
Tracking events and debugging with logging module.
Pattern matching and text manipulation using re module.
Working with JSON data using json module.
Building RESTful APIs with Django REST Framework or Flask.
Implementing authentication, authorization, and input validation.
Improving performance by storing frequently accessed data temporarily.
Distributed task queue for handling background jobs and scheduling.
Real-time communication protocol for bidirectional data transfer.
Building GraphQL APIs using libraries like Graphene.
Packaging Python applications into containers for deployment.
Automating testing and deployment pipelines for Python projects.