Complete Python Programming Course In Hindi
Learn Python Programming in Hindi with 200+ live coding examples. A Practical Approach to learn Python.
Development ,Programming Languages,Python
Lectures -80
Resources -24
Duration -5 hours
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Course Description
Welcome to the Python Course by Studyopedia in Hindi!
In this Video Course, learn Python and its concepts. We have covered Python Basics and Advanced concepts in this course. It consists of 25 lessons, and more than 200+ live running queries, including Functions, Classes & Objects, Dictionary, Lists, Sets, Tuples, etc, We have also covered Modules, including Maths, Statistics, Random, etc.
Python is a powerful, interpreted, object-oriented programming language. It is used in many areas for development and is considered a perfect language for scripting. A high-level programming language developed by Guido van Rossum and first released in 1991. More than 75% of programmers considered Python as a must-have skill for Data Science.
Python Features:
Open Source
High-level programming language
Multiple Programming-paradigms
(object-oriented, functional programming, imperative, etc.)Interpreted language
Dynamically Typed
Cross-Platform
Lesser LOC (Line of codes)
Topics Covered:
1. Python – Introduction
2. Install Python on Windows
3. Python – Variables
4. Python – Scope of Variables
5. Python – Tokens
6. Python – Operators
7. Python – Comments
8. Python – Type Conversion
9. Python – Get User Input
10. Python – Decision-Making Statements
11. Python – break and continue statements
12. Python – Loops
13. Python – Numbers
14. Python – Strings
15. Python – Functions
16. Python – Lambda Functions
17. Python – Classes and Objects
18. Python – Tuples
19. Python – Dictionary
20. Python – Lists
21. Python – Sets
22. Python – Modules
23. Python – math module
24. Python – statistics module
25. Python – Random Module
Examples Covered:
200+ live-running Examples in Hindi.
Python Version:
We have covered Python 3 and all the 200+ examples are being implemented on PyCharm, which is a free and open-source Python IDE.
Let's start the journey!
Who is this course for?
- Beginners Programmers - जो Python Programming कौशल में महारत हासिल करना चाहते हैं.
- Python Programmers - जो अपने पायथन प्रोग्रामिंग कौशल को बढ़ाना चाहते हैं।
- Students and Engineers - जो एक अकादमिक पाठ्यक्रम के रूप में पायथन में नामांकन कर रहे हैं।
- Professional Programmers - जो पायथन प्रोग्रामिंग में स्विच करना चाहते हैं।
Goals
- पेशेवर रूप से Python में Programming करने में सक्षम हो
- व्यावहारिक अनुभव प्राप्त करें और 300+ Coding Examples हल करें।
- Python में कुशल बनें.
- Python Programming में विशेषज्ञता प्रदर्शित करने के लिए सभी कौशल प्राप्त करें.
- बुनियादी और उन्नत Python की गहराई से समझ हासिल करें.
- अपने बाकी करियर के लिए Python में मजबूत नींव रखें.
Prerequisites
- कोई Paid Software की आवश्यकता नहीं है.
- Computer के उपयोग का बुनियादी ज्ञान.

Curriculum
Check out the detailed breakdown of what’s inside the course
Python Introduction
1 Lectures
-
Python Introduction & Features 02:55 02:55
Setup Python and Run First Program
1 Lectures

Python - Variables
2 Lectures

Python - Scope of Variables
4 Lectures

Python - Tokens
4 Lectures

Python - Operators
7 Lectures

Python - Comments
2 Lectures

Python - Type Conversion
2 Lectures

Python - Get User Input
1 Lectures

Python - Decision Making Statements
4 Lectures

Python - break and continue statements
2 Lectures

Python - Loops
3 Lectures

Python - Numbers
2 Lectures

Python - Strings
8 Lectures

Python - Functions
6 Lectures

Python - Lambda Functions
2 Lectures

Python - Classes and Objects
5 Lectures

Python - Tuples
4 Lectures

Python - Dictionary
3 Lectures

Python - Lists
6 Lectures

Python - Sets
3 Lectures

Python - Modules
2 Lectures

Python - Math Modules
2 Lectures

Python - statistics module
2 Lectures

Python - Random module
2 Lectures

Instructor Details

Studyopedia
Studyopedia is a platform that focuses on practically learning from the basics. We provide courses, study material, quizzes, and interview questions in varied subjects, including Generative AI, Data Science, Python, Machine Learning, Java, C, C++, SQL, MySQL, MongoDB, JavaScript, CSS, jQuery, etc.
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