Python Development

Python Programming

Become a professional Python Developer

Python Features

Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. It supports multiple programming paradigms, including object-oriented, procedural, and functional programming. With a vast standard library and strong community support, Python is widely used in web development, data science, automation, artificial intelligence, and more. Its dynamic typing and easy syntax make it beginner-friendly, while powerful frameworks and libraries like Django, Pandas, and TensorFlow make it suitable for advanced applications.

Course Pre-Requisites

Basic computer knowledge is required for this course.

Creativity & Novelty

Python stem from its flexibility and wide-ranging applications, allowing developers to experiment and innovate across domains. Its simple syntax encourages rapid prototyping, enabling quick transformation of ideas into functional solutions.

Data Efficiency & Adaptability

Python handles large datasets efficiently with libraries like Pandas, NumPy, and Dask, enabling fast data manipulation, analysis, and computation.

Automation

Python is one of its most powerful capabilities, allowing users to simplify and streamline repetitive tasks across various domains

CURRICULLUM – MODULES

Python Basics & Environment Setup

Module 1
  • Setting up Python and choosing an IDE
  • Basic syntax and data types
  • Variables and operators
  • Input/output operations
  • Basic string operations
  • Writing your first program
  • Best practices for code formatting (PEP 8)

Control Flow & Functions

Module 2
  • Conditional statements (if, elif, else)
  • Loops (for, while)
  • Break and continue statements
  • Function definition and calling
  • Parameters and return values
  • Lambda functions
  • Scope and namespaces

Data Structures

Module 3
  • Lists and list comprehensions
  • Tuples
  • Dictionaries and sets
  • Advanced string operations
  • Slicing and indexing
  • Nested data structures
  • Working with collections Chapter

Object-Oriented Programming

Module 4
  • Classes and objects
  • Inheritance and polymorphism
  • Encapsulation
  • Class methods and static methods
  • Properties and decorators
  • Magic methods
  • Abstract classes and interfaces

File Operations & Error Handling

Module 5
  • File reading and writing
  • Working with different file formats (CSV, JSON, XML)
  • Exception handling
  • Creating custom exceptions
  • Context managers
  • Logging
  • Working with paths and directories

Chapters & Packages

Module 6
  • Creating Chapters
  • Package structure
  • Virtual environments
  • pip and package management
  • Important standard library Chapters
  • Creating and distributing packages
  • Documentation and docstrings

Advanced Python Concepts

Module 7
  • Generators and iterators
  • Decorators
  • Context managers
  • Regular expressions
  • Multithreading and multiprocessing
  • Asynchronous programming with asyncio
  • Memory management and optimization

FastAPI & Production Environment

Module 8
  • Understanding REST APIs
  • API Development using FastAPI
  • Connecting FastAPI with database
  • Testing (unittest, pytest)
  • Debugging techniques
  • Code profiling and optimization
  • Code organization and project structure
  • Documentation best practices

Tools Covered

Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Recordings

Certificate

Skills You Will Learn

  • Python variable and data types skills
    Python operators:
  • File handling using Python skills
    Functions and Loops:
  • Funtional Programming skills
    Object Oriented Programming:
  • Python application debugging and testing skills
    Deploying Python Application: