Udemy

Master Python Zero to Pro + Real World Projects - MAR'26

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  • 24 Students
  • Updated 3/2026
4.1
(07 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 2 Minute(s)
Language
English
Taught by
Vignesh S
Rating
4.1
(07 Ratings)

Course Overview

Master Python Zero to Pro + Real World Projects - MAR'26

2026-ONLY COURSE on Python latest Version 3.13 with OOP + FUNCTIONS + JSON + APIs + FILE HANDLING from Zero to Advanced

[THE ENTIRE COURSE HAS BEEN UPDATED IN MARCH 2026 JANUARY WITH THE LATEST PYTHON 3.13 VERSION]

Are you ready to invest 8 Hours of your time to become proficient in Python Programming?

Welcome you all to the BEST course in Udemy to learn Python from absolute scratch with its current updated version 3.13.

This course is structured and well-designed for COMPLETE BEGINNERS.

If you don't have prior knowledge of programming or Python, then this is the right course for you.

We start from "Hello World" and progress to advanced concepts like async programming and decorators.

Python is the most in-demand programming language in 2026, used for Test Automation, Web Development, Data Science, AI/ML, DevOps, and Scripting.

Following are the great features why you should learn Python:

  1. Easy to Learn: Python has simple, readable syntax that's perfect for beginners

  2. Versatile: Used in test automation, web development, data analysis, AI, and more

  3. High Demand: Python developers and QA automation engineers are highly sought after

  4. Powerful Libraries: Massive ecosystem for testing (Pytest, Selenium), web (Django, Flask), data (Pandas, NumPy)

  5. Community Support: Largest programming community with countless tutorials and resources

This course is not only for BEGINNERS but also for QA ENGINEERS transitioning to automation. Python is the foundation for Selenium, Playwright, Pytest, and Robot Framework. I can promise you that by the end of this course, you can start writing Python automation scripts or can implement test automation projects in your current organization.

Below are the Course Content:

  • Section 1: Python Fundamentals (Lessons 1-10) First program, print, comments, variables, indentation, numeric types, strings, string methods, escape sequences, type conversion, user input

  • Section 2: Operators & Data Structures (Lessons 11-16) Operators, lists, tuples, dictionaries, sets, range

  • Section 3: Control Flow (Lessons 17-23) If-else, ternary operator, for loops, while loops, break/continue, nested loops, loop patterns

  • Section 4: Functions (Lessons 24-33) Functions, parameters/arguments, return values, default arguments, keyword arguments, args/kwargs, lambda functions, scope, list comprehensions, dict comprehensions

  • Section 5: Files & Error Handling (Lessons 34-35) File handling (read/write), exception handling

  • Section 6: Modules & Libraries (Lessons 36-37) Modules and imports, standard library usage

  • Section 7: Object-Oriented Programming (Lessons 38-46) Classes and objects, constructor and self, instance vs static methods, class vs instance variables, inheritance, super keyword, polymorphism, encapsulation, abstraction

  • Section 8: Advanced Python (Lessons 47-52) Type hints, working with JSON, environment variables, decorators, working with APIs, async/await programming


What makes this course different:

  1. Simple Code: No confusing docstrings or complex examples - every code is beginner-friendly

  2. Structured Path: 50+ numbered lessons - clear progression from basics to advanced

  3. QA Focused: Examples from real QA work - test data processing, log analysis, API testing

  4. Downloadable Code: All Python files provided - run, modify, learn by doing

  5. No Fluff: Only what you need to become productive in Python - no theoretical deep-dives


By completing this course you will:

  1. Write Python scripts for automation and testing

  2. Understand Object-Oriented Programming concepts

  3. Work with files, JSON, APIs, and external systems

  4. Handle errors and exceptions professionally

  5. Use Python for test automation frameworks

  6. Build real-world applications and tools


Why wait? Enroll now to master Python programming and boost your career in test automation, software development, or data analysis.

Wish you all the Best!!

Course Content

  • 17 section(s)
  • 59 lecture(s)
  • Section 1 Introduction
  • Section 2 Python Introduction & Setup
  • Section 3 Project Download
  • Section 4 Python Fundamentals
  • Section 5 Data Types
  • Section 6 User Input and Operators
  • Section 7 Data Structures
  • Section 8 Control Flow & Conditionals
  • Section 9 Loops & Iterations
  • Section 10 Functions Mastery
  • Section 11 List & Dict Comprehensions
  • Section 12 File Handling & Error Management
  • Section 13 Modules & Standard Library
  • Section 14 Object-Oriented Programming (OOP)
  • Section 15 Object-Oriented Programming (OOP)
  • Section 16 Advanced Python Concepts
  • Section 17 Project Download

What You’ll Learn

  • Master Python programming from scratch - variables, loops, functions to advanced OOP, APIs, and async programming, Write automation scripts for test data processing, log analysis, API integration, and file handling, Build professional Python applications using Object-Oriented Programming, inheritance, polymorphism, and design patterns, Work with JSON, REST APIs, environment variables, decorators, and asynchronous programming for real-world projects, Debug and optimize Python code using exception handling, logging, type hints, and industry best practices, Create reusable functions, list comprehensions, lambda functions, and modular code for clean software development


Reviews

  • D
    David Potter
    3.0

    The instructor’s accent is way too difficult to follow. If he would speak slower and seem less like he is in a rush it would be better. My apologies.

  • P
    Praveen Kumar
    5.0

    Wholesome good course! thanks Vignesh.

  • P
    Preethi Sharma
    5.0

    I love the way how easy Vignesh explains. Must recommended course for beginners. I have enrolled in many python course. But this one is outstanding.

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