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!


Original price was: ₹5,999.00.Current price is: ₹4,999.00.
Original price was: ₹7,999.00.Current price is: ₹6,999.00.


New batch starting:
Date: 16 May 2023
Duration per session: 90 mins
Course Duration: 30 days
Training Platform: Google Meet or Zoom


Python Course Curriculum:

  1. Introduction
    – Introduction to Python
    – What are the uses of python
    – What are its applications?
  1. Software installation pycharm or (anaconda).
    – Where to get the software?
    – Step-by-step installation of the software
  2. Basic calculations in python
    – Usage of Arithmetic operators (+,-,*,/,//,**,%)
    – single line comments
  3. Uses of variable,calculations with variables.
  4. Print statements (different ways to print)
    – Usage of separator
    – Usage of endline
  5. Multiple statements on single line or multiple assignment
    – Seperating multiple commands from each other
  6. Strings in Python
    – Accessing the string
    – Slicing the string
    – Updating the string
    – Replacing the string
  7. Types of operators
    – arithmetic operators
    – comparison operators
    – assignment operators
    – logical operators
    – bitwise operators
    – membership operators
    – identify operators.
  8. Take input from user
  9. Conditional statement
    – if-else statements
    – if-elif-else statement
    – Nested if statements
  10. Loops
    – while loop
    – for loop
  11. Termination statement for loops
    – Break
    – pass
    – continue statements – type casting
  12. List
  13. tuple
  14. dictionary
  15. set
  16. List Comprehension
  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. Generators
  21. Decorators
  22. map, filter, reduce
  23. File handling
    – Reading the file
    – Writing the file
    – Appending the file
  24. Exception handling in Python
  25. Classes and objects
    – Classes creation
    – Inheritance
    – Data hiding
  26. Python Iterators
  27. Installation of different packages in python from external source
  28. Reading and handling the csv files
  29. Working with json files
  30. Sending an email
    – Introduction
    – Sending an email with and without subject
    – Sending email with subject
    – Sending Email with attachment
  31. Networking in Python
    – Introduction
    – Creating a client and server to communicate with each other
  32. Gui Programming
    – Introduction
    – Adding Widgets to your GUI application
    – Customizing the application accordingly
  33. Database Connectivity in python
    – Introduction to databases
    – Linking the databases to python
    – Accessing the database using python
  34. Multithreading in python
    – Introduction
    – Multithreading
    – Multiprocessing
  35. Regular Expression
  36. Working with Numpy
    – Introduction
    – Array creation
    – Multiple functions available for it
    – Scientic computation with Numpy
  37. Working with pandas library
    – Introduction
    – Series in pandas
    – Dataframes in pandas
    – Conversion of data
    – numpy in pandas
  38. Speech to text
    – Introduction
    – Speech to text conversion
  39. Text to speech
    – Introduction
    – Text to speech conversion
  40. Get started with building android application with python.
Other Benefits:
1. Course Completion E-Certificate
2. Recorded Lectures
3. Life-time Chat support
4. Two minor projects to be covered under my guidance. 


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