Basics of Python Programming

Start your coding journey with the Python basics course - perfect for beginners. Learn Python from scratch, build real projects & unlock endless possibilities for your career. 

Lessons
AI Tutor (Add-on)
Get A Free Trial

About This Course

If you’ve ever felt overwhelmed by coding and didn’t know where to start, join us as we guide you through the basics of Python programming (one of the most beginner-friendly and in-demand languages out there). 

In just a few bite-sized lessons, you’ll go from understanding variables and data types to writing your functions, handling files, and even building basic GUI applications using Tkinker. 

You’ll also move into intermediate topics like OOP and error handling, and finish with powerful libraries like NumPy. All with plenty of gamified exercises to help you practice what you learn.

Skills You’ll Get

  • Python Programming For Beginners: Learn Python basics by writing real code. Start from simple print statements to building basic applications. Get hands-on experience with every topic. 
  • Conditions, Looos & Control Flow: Understand how decisions & repetitions work in the Python world. Learn to work with arrays, local variables, & python’s one-liner. 
  • Lists, Tuples, Iterators & Generators: Explore the power of Python’s built-in sequence types. Learn how to slice, iterate, data storage & memory-efficient looping. 
  • Dictionaries & Modules: Store your data as key-value pairs, import and create Python modules, and organize your code like a pro. 

1

Preface

2

Introduction to Python Variables, Datatypes and Operators

  • Introduction
  • Python installation
  • Operators in Python
  • Conclusion
  • Points to remember
  • Exercises
3

Conditions and Loops

  • If condition
  • Nested-if condition
  • Loops
  • Break and continue statement
  • Conclusion
  • Questions
  • Points to remember
4

Arrays and Functions

  • Arrays
  • Functions
  • Local and global variables in functions
  • Lambda function
  • Conclusion
  • Points to remember
  • Exercises
5

Lists, Tuples, Iterators Generators, and Sets

  • Introduction
  • Lists
  • Slicing
  • Tuples
  • Python iterators
  • Python generators
  • Sets
  • Conclusion
  • Points to remember
  • Exercises
6

Dictionaries and Modules

  • Introduction
  • Dictionaries in Python
  • Modules
  • Conclusion
  • Points to remember
  • Exercises
7

Object-Oriented Programming

  • Introduction
  • Classes and objects
  • Inheritance
  • Overriding
  • Encapsulation
  • Conclusion
  • Points to remember
  • Exercises
8

File Handling and Databases

  • Introduction
  • File and modes used in file handling
  • Databases
  • Conclusion
  • Points to remember
  • Exercises
9

Regular Expressions, Date and Time

  • Introduction
  • Regular expression for pattern matching
  • Date and time functions
  • Conclusion
  • Points to remember
  • Exercises
10

Exception Handling

  • Introduction
  • Exception
  • Conclusion
  • Points to remember
  • Exercises
11

NumPy and Tkinter

  • Introduction
  • 1-D array operations using NumPy
  • Matrix addition and multiplication using NumPy
  • Fundamentals of Tkinter main application window
  • Label and button widget in Tkinter
  • Button click event and input from user in Tkinter
  • Conclusion
  • Points to remember
  • Exercises
A

Appendix 1: Practice Exercises with Solutions

  • Sample programs

Any questions?
Check out the FAQs

  Want to Learn More?

Contact Us Now

An online Python course is suitable for a wide range of individuals, particularly those with no prior programming experience. It is also ideal for beginners and anyone interested in learning Python. Sign up for our course & experience the world of coding.

The basics for learning Python as a beginner include concepts like variables, data types, operators, control flow, and functions.

Well, it is not technically possible to master Python in just two hours. But one can certainly learn the basics within the 2-3 weeks timeframe.

One of the best ways to learn Python is by actively using it. Try to minimize the amount of time you spend on learning syntax & work on projects as soon as possible. 

After learning, one can choose a path based on your requirements & career goals. One can explore areas such as data science & web development, and many more. 

Related Courses

All Course
scroll to top