Python For Beginners_9
- Development
- Mar 10, 2025

Python For Beginners, available at Free, has an average rating of 4.69, with 29 lectures, 13 quizzes, based on 2518 reviews, and has 85528 subscribers.
Free Enroll NowYou will learn about Acquire the prerequisite Python skills to move into specific branches – Data Science(Machine Learning/Deep Learning) , Big Data , Automation Testing, Web development etc.. Have the skills and understanding of Python to confidently apply for Python programming jobs. This course is ideal for individuals who are Data Science / Artificial Intelligence/ Machine Learning / Deep Learning Aspirants or Chat Bots Developer or Automation Testers or Big Data Aspirants or Web Development Aspirants or Game Developers or People interested in programming who have no prior programming experience or Anyone who wants to learn BASIC PYTHON or Existing programmers who want to improve their career options by learning the Python programming language or Students taking a Python class in school who want a supplementary learning source or Note 1 : SPECIFICALLY CREATED FOR DATA SCIENCE / AI / ML / DL ASPIRANTS AND COVERS BASICS PYTHON ONLY or Note 2: This course is NOT for experienced Python programmers or Note 3: All the videos are explained in Indian English Slang. In case if you think, its tough to understand my pronunciation and also for Non-English speaking students, I enabled the Auto Caption now. But still the text won’t 100% accurate. or Note 4: Based on students interest and request , I will be adding few more python topics to this course It is particularly useful for Data Science / Artificial Intelligence/ Machine Learning / Deep Learning Aspirants or Chat Bots Developer or Automation Testers or Big Data Aspirants or Web Development Aspirants or Game Developers or People interested in programming who have no prior programming experience or Anyone who wants to learn BASIC PYTHON or Existing programmers who want to improve their career options by learning the Python programming language or Students taking a Python class in school who want a supplementary learning source or Note 1 : SPECIFICALLY CREATED FOR DATA SCIENCE / AI / ML / DL ASPIRANTS AND COVERS BASICS PYTHON ONLY or Note 2: This course is NOT for experienced Python programmers or Note 3: All the videos are explained in Indian English Slang. In case if you think, its tough to understand my pronunciation and also for Non-English speaking students, I enabled the Auto Caption now. But still the text won’t 100% accurate. or Note 4: Based on students interest and request , I will be adding few more python topics to this course.
Enroll now: Python For Beginners
Summary
Title: Python For Beginners
Price: Free
Average Rating: 4.69
Number of Lectures: 29
Number of Quizzes: 13
Number of Published Lectures: 29
Number of Published Quizzes: 13
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
This course specifically created for A.I Aspirants ( Data Science/Deep Learning/Machine Learning students). It covers all the PYTHON BASICS topics. But still this course can also be learnt by other fields aspirants like Automation, Chatbots, WebDevelopers etc. Because for all the fields this course will create basic knowledge and with this you can self learn python library easily.
Note: Very soon Python Libraries such as NumPy, Pandas and Matplotlib courses will be launched. But for all these advanced course , this “Python For Data Science” course will be the basement for it.
” 9 main reasons to Learn Python !!! ”
1. Python’s popularity
When compared to all other programming language, python is extremely simple, easy to learn, interpret and implement. Due to this reason it became very popular and trending programming right now.
2. High salary
The job demand for python programmers are high. Python engineers have some of the highest salaries in the industry.
The average Python developer salary in the US is $110,021 and $123,743 per year according to the survey conducted by Gooroo and Indeed respectively
3. Python is used in Data Science
There are plenty of Python scientific packages for data visualization, machine learning, natural language processing, complex data analysis and more. All of these factors make Python a great tool for scientific computing and a solid alternative for commercial packages such as MatLab. The most popular libraries and tools for data science are Pandas, matplotlib, NumPy, scikit-learn, Mlpy, NetworkX, Theano, SymPy and TensorFlow
4. Python is used in Automation
IT industries are now moving towards Artificial Intelligence in Automation. So Python with Robot frameworkcombination is the best alternative for Selenium Webdriver with Java as it is easier road map with no programming background.
5. Python used with Big Data
Pydoop is a Python interface to Hadoop that allows you to write a MapReduce program in Python and process data present in the HDFS cluster.
Its features such as a rich HDFS API; a MapReduce API that allows to write pure Python record readers / writers, partitioners and combiners, transparent Avro (de)serialization, and easy installation-free usage.
6. Chat Bots
A chat bot is an artificial intelligence-powered piece of software in a device (Siri, Alexa, Google Assistant etc), application, website or other networks that try to gauge consumer’s needs and then assist them to perform a particular task like a commercial transaction, hotel booking, form submission etc.
NLTK(Natural Language Toolkit) library is a leading platform for building Python programs to work with human language data.
7. Python in Web Development
Python has a wide range of frameworks for developing websites. The most popular frameworks are Django, Flask, Web2Py, Turbo Gears, etc. These frameworks are written in Python, so it’s easier to implement and use it for web development.
8. Computer Graphics in Python
Python is largely used to build GUI and desktop applications. The Python Computer Graphics Kit is a generic 3D package that can be useful in any domain where you have to deal with 3D data of any kind, be it for visualization, creating photorealistic images, Virtual Reality or even games
9. Game Developer
Python libraries such as PyGame, Pyglet , PyOpenGL etc. are used to develop 2D, 3D games with easy coding. Learning any one of these package can able to create rapid game prototyping or for beginners learning how to make simple games.
Course Curriculum
Chapter 1: Python Introduction
Lecture 1: Introduction to Python
Lecture 2: How to choose Python IDE and Installation Steps
Lecture 3: Overview of Jupyter Notebook and Python Programming Basics
Lecture 4: Identifiers and Keywords
Lecture 5: Python Variables
Chapter 2: Python Operators
Lecture 1: Python Numbers and Arithmetic Operators
Lecture 2: Comparison and Logical Operators
Lecture 3: Assignment and Bitwise Operators
Lecture 4: Identity and Membership Operators
Chapter 3: Python Flow Control
Lecture 1: if and if else Statement
Lecture 2: if..elif..else and nested if Statement
Lecture 3: Python While Loop Statement
Lecture 4: Python For Loop Statement
Lecture 5: Python Break and Continue Statement
Chapter 4: Python Data Types String and List
Lecture 1: Python String Part 1
Lecture 2: Python String Part 2
Lecture 3: Python Strings Methods
Lecture 4: Python Lists
Lecture 5: Python Lists Methods Part 1
Lecture 6: Python Lists Methods Part 2
Chapter 5: Python Data Types Tuples and Dictionary
Lecture 1: Python Tuples
Lecture 2: Python Tuple Methods
Lecture 3: Python Dictionary
Lecture 4: Python Dictionary Deleting and Looping
Lecture 5: Python Dictionary Methods
Chapter 6: Python Functions
Lecture 1: Creation and Execution of Functions
Lecture 2: Python Functions with Return Value
Lecture 3: Python Function Arguments
Lecture 4: Python Recursive Function
Instructors

Vinoth Rathinam
Founder of Vinoth QA Academy | Automation Architect
Rating Distribution
Frequently Asked Questions
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