Python Basic Course by Python Classes in Pune does not assume any prior programming knowledge.
Introduction to Programming Concepts
- Variables and Data Types
- Control Structures (if-else, loops)
- Basic Input/Output
- Fundamentals of a Programming Language (e.g., Python)
- Syntax and Semantics
- Functions and Modules
- Error Handling
- Introduction to Object
-Oriented Programming (OOP)
- Classes and Objects
- Inheritance and Polymorphism
- Basic Data Structures
- Arrays/Lists
- Dictionaries/Maps
- Basic Algorithms
- Sorting and Searching
- Recursion
- Development Tools
- IDEs and Text Editors
- Version Control with Git
This is the next level after completion of the basic course.
- Advanced Object
-Oriented Programming
- Design Patterns
- Data Structures and Algorithms
- Trees and Graphs
- Dynamic Programming
- Advanced Sorting Algorithms
- Database Management
- SQL Basics
- ORM (Object-Relational Mapping)
- Web Development
- Frontend Basics (HTML, CSS, JavaScript)
- Backend Basics (REST APIs, Server-Side Languages)
- Software Engineering Principles
- Testing and Debugging
- Software Development Life Cycle (SDLC)
- Agile Methodologies
- Introduction to Frameworks
- Web Frameworks (e.g., Django, Flask)
- Introduction to Libraries (e.g., NumPy, Pandas)
Python Advanced Course gets you industry ready. Advanced Python course covering data structures, machine learning, microservices, cloud computing, DevOps, and scalable web development.
- Advanced Data Structures and Algorithms - Heaps and Priority Queues - Advanced Graph Algorithms - Complex System Design - Microservices Architecture - Scalability and Performance Optimization - Advanced Database Concepts - NoSQL Databases - Database Optimization and Indexing - Machine Learning and Data Science - Supervised and Unsupervised Learning - Data Preprocessing and Feature Engineering - Model Evaluation and Selection - Advanced Web Development - Single Page Applications (SPAs) - Advanced Backend Development (Authentication, Security) - Cloud Computing and DevOps - Cloud Platforms (AWS, Azure, GCP) - CI/CD Pipelines - Containerization with Docker - Project Management and Collaboration - Advanced Version Control (Branching Strategies) - Code Review Practices - Team Collaboration Tools (JIRA, Confluence)