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Python Tutorial in Hindi | Learn Python in Hindi | Python Full Course in Hindi | Python Tutorial

Python is an interpreted, object-oriented, high-level programming language built with dynamic semantics. Great Learning offers Python Programming in Hindi tutorial comprising 16 chapters, including 1 python project. This course is ideal for students and professionals looking for a Python programming course from scratch.

Python for beginners: Learn like a pro by building a solid foundation on essential topics like data structures, inheritance, flow control statements in python, functions, OOPs in python and many more interesting topics. Learn python programming course in Hindi in play way method as our expert takes you on a walkthrough on the current trends in python.

Learn Python Programming quickly in Hindi, with easy to learn syntax that emphasises readability and reduces program maintenance costs.

? Topics Covered:
* Introduction – 00:00:00
* Installing Python, Python IDEs – 00:01:38
* Data Structures in Python – 00:44:57
* Tuple in Python – 0:45:06
* List in Python – 0:54:47
* Dictionary in Python – 1:04:57
* Set in Python – 1:12:49
* Flow Control Statements in Python – 01:19:04
* If Statement in Python – 01:19:04
* If Else – 01:20:25
* Looping Statement in Python – 01:30:38
* For Loop in Python – 01:38:55
* Functions in Python – 01:43:19
* Object Oriented Programming in Python – 01:58:16
* Classes in Python – 01:59:05
* Attributes & Methods in Python – 02:00:40
* Inheritance – 02:18:15
* Multiple Inheritance – 02:34:28
* Multilevel inheritance – 02:42:16
* Libraries in Python – 02:48:35
* Python NumPy – 02:50:09
* Python Pandas – 03:18:42
* Python Matplotlib – 03:49:38

Let go of the fear of learning new programming languages, and start our python crash course now that’s backed up with Python notes.
Still more doubts about the Python tutorial? Drop us your questions in the comments sections, will are here to guide you with all your concerns.

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? Download the Revision Material for "Matplotlib-Python for Non-Programmers" Here:
? Download the Revision Material for "OOPs in Python" Here:
? Download the Revision Material for "Python Visualization" Here:
? Download the Revision Material for "Python Operators" Here:
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✔ Data Science Tutorial:
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47 comments

  1. Great Learning

    Great Learning offers a range of extensive Data Science courses that enable candidates for diverse work professions in Data Science and other trending domains. The faculty team of the Data Science Courses comprises top academicians in Data Science along with many skilled industry practitioners from leading organizations that practice Data Science. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: https://glacad.me/3xrJCwL

  2. Amar Deep

    Just finished it up Amazingly enjoyed throughout session it’s good only for those who all are completely new to Python, because this tutorial gives you basic awareness about Python language. If incase you are at Moderate level i would recommend you not to watch it this truly not for you.But the teaching style of this guy is genuinely Awesomeness ?. Great Job Done.

    1. Great Learning

      Thrilled to know that you feel this way! Thanks for the feedback, we’re glad we could help you? Make sure you subscribe to us and hit the bell icon to get notified about our amazing upcoming content.

  3. Tapan Kumar Mishra

    Honestly , this was by far the best session i had ever come across . To the point and very explanatory which makes it easier to understand . Wish you all the best and really appreciate for sharing such a nice session that too for free .

  4. Nitish Kulshrestha

    Sir Bharani Akella, you have tremendous teaching skills. I really thankful to you and Great Learning Team.
    I finished this tutorial and have started practice but in this i am getting error at the time of printing .
    Please note: I am saving the csv file in same working location, it reads few files but shows error in many file. I am unable to figure out.
    Is file size matters?
    We need to check any points at the time of saving file in csv??
    Command what i am using is mentioned below:
    xyz=pd.read_csv(‘filename.csv’) /pd.read_csv(‘filename.csv’) both tried but not working.

    Please guide

    Thanks in advance

  5. Ralston Crasta

    Sir I’m in standard 9th.This course is literally amazing I’m loving it .The explaination is so clear that even a third standard boy can learn this course thanks for providing such high quality content for free .salute sir

  6. Mohd Hameed uddin

    Sir thank u so much for such a understandable tutorial, sir I have some questions 1) what is difference between global variables and local variables?
    2) what is CSV file and how could I use it in pandas?

    1. Mohd Hameed uddin

      Thank u soo much for the answers sir I’m really glad to learn python from u , I want to start my career as data scientist so that I enrolled my name in a three years BSC maths,stats and data science program

    2. Great Learning

      Answer to your first question: Local variables are declared and can be accessed only inside the function whereas global variables can be accessed throughout the program body by all functions.
      A sample code for your reference:

      sum = 0; # global variable.

      def add( arg1, arg2 ):
      sum = arg1 + arg2; # local variable.
      print (sum)
      return sum;

      sum( 10, 20 )
      print (sum)

      Answer to your second question: CSV is a comma-separated value file. It is a delimited text file that uses a comma to separate values. Each line is a record and each record consists of one or more fields, separated by commas. You can read and load the CSV file in pandas using the following function: read_csv(“file_name.csv”). We hope this answers your question:)

  7. ASIF KHAN

    Excellent Video. You deserve applause for making such a comprehensive video in hindi. Congratulations . Sir, I am a data analyst and work mostly with excel sheet and Tableau. Can you please guide me if i should learn jupyter or pycharm to use python in data analysis. Awaiting for your kind suggestion.

  8. Dheeraj Kumar

    This is a phenomenal,comprehensive, clearly explained and to the point video for the folks who is exploring/wandering to learn python in the easiest way. Many thanks to you and great learning team who made the tough task easy.

    1. Great Learning

      Hi @Dheeraj, thank you for your appreciation. Your support motivates us to deliver such valuable videos. Thank you and we will be coming up with more informative videos like this. Stay tuned:)

  9. prasad dudhe

    Literally, it was amazing learning with you sir. Being from Mechanical background I never had an interest in coding and never written a code beyond basic addition code. Now I learnt C, C++,PYTHON from you and hope this journey continues. Also there is one request that Please you upload a playlist regarding interview question asked in service based companies related to several topics asked. As being from non-IT background we are unaware of topics included in IT background and questions asked. At last I would like to thank you Bharani Akella sir and your team members for such useful knowledge you are providing us that to at free of cost.

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