2,999.00 299.00

Check out this hands-on course for an in-depth look at the details of Python programming and concepts. Get sample practice drills and projects, using Pycharm, which doesn’t require anything prior. Learn best practices and begin coding almost immediately.

After you explore data types and variables, take a look at strings, input, testing, and formatting. From there, learn about arguments and parameters, along with conditionals and nested conditionals. By the end of the course, you’ll be able to create programs that prompt users for input and use conditional (True/False) logic and Python methods to manipulate numbers and text to provide responses to the users, in addition to requesting further input. Plus, learn basic troubleshooting for your code. Sign up, and get started coding right away!


Course Content
1. Introduction
– Introduction to Python
– What are the uses of python
– What are its applications?
2. Software installation pycharm or (anaconda).
– Where to get the software?
– Step-by-step installation of the software
3. Basic calculations in python
– Usage of Arithmetic operators (+,-,*,/,//,**,%)
– single line comments
4. Uses of variable,calculations with variables.
5. Print statements (different ways to print)
– Usage of seperator
– Usage of endline
6. Multiple statements on single line or multiple assignment
– Seperating multiple commands from each other
7. Strings in Python
– Accessing the string
– Slicing the string
– Updating the string
– Replacing the string
8. Types of operators-arithmetic, comparison, assignment, logical, bitwise, membership,
identify operators.
9. Take input from user
10. Conditional statement
– if-else statements
– if-elif-else statement
– Nested if statements
11. Loops
– while loop
– for loop
12. Termination statement for loops
– Break
– pass
– continue statements
– type casting
13. List
14. tuple
15. dictionary
16. set
17. Functions
– Creating a function
– By default parameters
– Keyword arguments
– Variable arguments
– Variable keyword arguments
18. Lambda function
19. Modules
– Creating a custom Module
– Accessing different attributes and methods from the module
– Different ways of calling modules
20. File handling
– Reading the file
– Writing the file
– Appending the file
21. Exception handling in Python
22. Classes and objects
– Classes creation
– Inheritance
– Data hiding
23. List Comprehension


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