Course Overview

Python is one of the most versatile and in-demand programming languages in today’s software industry. Its simplicity, readability, and wide range of applications in web development, data science, automation, and AI make it a top choice for beginners and professionals alike. At Techxeeria Technologies Pvt. Ltd., our Python Programming Course is designed to take you from basic concepts to advanced programming skills, giving you hands-on experience with real-world projects and industry-ready expertise.

Why Choose Python Programming Course?

• Python is beginner-friendly, yet powerful enough for professional development.
• Covers all major domains including web development, data science, automation, and database integration.
• Hands-on approach ensures practical knowledge alongside theoretical concepts.
• Prepares you for roles like Python Developer, Automation Engineer, Data Analyst, and Software Engineer.

2-Month Python Programming Syllabus

Month 1 – Python Basics + Core Concepts

Week 1 (Day 1–7): Python Fundamentals

• Day 1: Introduction to Python, Installation, IDE Setup
• Day 2: Python Syntax, Variables, and Data Types
• Day 3: Operators – Arithmetic, Comparison, Logical, Assignment
• Day 4: Input/Output Functions and Type Casting
• Day 5: Conditional Statements – if, elif, else
• Day 6: Loops – for, while, nested loops
• Day 7: Mini Project – Simple Calculator

Week 2 (Day 8–14): Data Structures in Python

• Day 8: Strings & String Methods
• Day 9: Lists & List Methods
• Day 10: Tuples & Tuple Operations
• Day 11: Sets & Set Methods
• Day 12: Dictionaries – Key/Value Operations
• Day 13: List Comprehension & Dictionary Comprehension
• Day 14: Mini Project – Student Grade Management System

Week 3 (Day 15–21): Functions & Modules

• Day 15: Defining Functions, Arguments, Return Values
• Day 16: Lambda Functions, map(), filter(), reduce()
• Day 17: Recursion in Python
• Day 18: Modules & Packages – Importing in Python
• Day 19: Exception Handling – try, except, finally
• Day 20: File Handling – Read/Write Files
• Day 21: Mini Project – Contact Book (File-based)

Week 4 (Day 22–30): Object-Oriented Programming (OOP)

• Day 22: Introduction to OOP – Class & Object
• Day 23: Constructors & Methods
• Day 24: Inheritance – Single, Multiple, Multilevel
• Day 25: Polymorphism – Method Overriding & Overloading
• Day 26: Encapsulation & Abstraction
• Day 27: Special Methods – dunder methods, __str__
• Day 28: Mini Project – Bank Management System (OOP)
• Day 29: Python Standard Libraries – math, random, datetime
• Day 30: Revision & Practice Quiz

Month 2 – Advanced Python + Projects

Week 5 (Day 31–37): Advanced Python Concepts

• Day 31: Iterators & Generators
• Day 32: Decorators in Python
• Day 33: Regular Expressions – re module
• Day 34: Working with JSON & CSV Files
• Day 35: Logging in Python
• Day 36: Virtual Environment & pip
• Day 37: Mini Project – Data Scraper using Regex & JSON

Week 6 (Day 38–44): Database & Web Programming

• Day 38: Introduction to Databases & SQL Basics
• Day 39: Python with SQLite – CRUD Operations
• Day 40: Python with MySQL/PostgreSQL
• Day 41: Web Scraping Basics – requests, BeautifulSoup
• Day 42: API Interaction – requests module
• Day 43: Flask Basics – First Web App
• Day 44: Mini Project – To-Do App with Flask + SQLite

Week 7 (Day 45–51): Data Science & Automation

• Day 45: Introduction to NumPy
• Day 46: NumPy Arrays & Operations
• Day 47: Introduction to Pandas – Series & DataFrames
• Day 48: Data Cleaning & Analysis with Pandas
• Day 49: Introduction to Matplotlib – Data Visualization
• Day 50: Python for Automation – os, shutil, smtplib
• Day 51: Mini Project – Data Analysis Dashboard

Week 8 (Day 52–60): Final Projects & Preparation

• Day 52–55: Major Project – Student Management System (Flask + Database + Pandas)
• Day 56–57: Major Project – Weather App using API Integration
• Day 58: Revision of Advanced Topics
• Day 59: Interview Preparation – MCQs & Coding Questions
• Day 60: Final Assessment & Doubt Clearing

Hands-On Practical Training

• Real-time mini-projects and final projects to gain practical skills.
• Exposure to web development with Flask, API integration, and database handling.
• Python scripting for automation, data analysis, and visualization.
• Guided exercises for mastering object-oriented programming and advanced Python concepts.

Who Can Join This Course?

• Beginners aspiring to start a career in Python programming.
• Software testers who want to learn Python for automation.
• Professionals aiming to enhance their skills in Python, data analysis, and web development.
• Students preparing for Python developer or automation roles.

Key Benefits of Techxeeria Python Training

• Comprehensive syllabus from Basic to Advanced Python.
• Practical exposure with mini-projects and real-time projects.
• Step-by-step guidance from industry-experienced trainers.
• Resume building and interview preparation support.
• Strong foundation for careers in Python Development, Data Science, Web Development, and Automation.

Career Opportunities

• Python Developer
• Backend Developer
• Data Analyst / Data Scientist
• Automation Tester / SDET
• Web Developer (Flask / Django)