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Python Tutorial in Hindi

python-tutorial-in-hindi

That’s good to know that you have decided to start on the journey of learning Python in Hindi

Python is a very powerful object-oriented programming language yet simple. This python in Hindi tutorial will help beginners to understand the Python programming language.

Python History

Python was invented by Guido van Rossum at CWI in Netherland in 1991.

Did you know?

BBC hosted a popular comedy show “ Monty Python’s Flying Circus “ Guido van Rossum was a fan of the show, So he decided to pick the name Python for his newly created programming language.

What is Python? 

  • Python is a general-purpose programming language that supports object-oriented, functional, and imperative programming styles It is ideal for the freshers because of its readability and ease of use.

Why learn Python in Hindi?

Python is a most popular and widely used language that provides many useful features to the programmer. We have listed below few-essential features of Python.

  • Easy to use and Learn
  • Expressive Language
  • Interpreted Language
  • Object-Oriented Language
  • Open Source Language
  • Extensible
  • Learn Standard Library
  • GUI Programming Support
  • Integrated
  • Embeddable
  • Dynamic Memory Allocation
  • Wide Range of Libraries and Frameworks

What are the Benefits of Python in Hindi?

  • Easy to learn in vernacular languages
  • Python is open source
  • Python syntax is easy to learn and has high readability.
  • Python has extensive support libraries 
  • Python is very user friendly and has very rich built-in data structures that are easy to use. 

Python Version List

Python programming language is being updated regularly since 1994. But here python 2.0 and 3.0 plays a major role, hence giving out the difference:

Difference between python 2.0 and 3.0 

FactorCodePython 2.0 outputPython 3.0 output
Print functionprint ‘Hello World’print(‘Hello, greatlearning’’)Hello WorldHello, greatlearningSyntaxError: invalid syntaxHello, greatlearning
Division operatorprint(7 / 5)print(-7 / 5)1-21.4-1.4
Exception Handling in Pythontry:trying_to_check_errorexcept NameError, err:print err, ‘Error Caused’name ‘trying_to_check_error’ is not defined Error CausedFile “new.py”, line 4except NameError, err:^SyntaxError: invalid syntax#we need to add as in place of comma after NameError to make it work
Advantages of Python Advantages of Python Over Other LanguagesDisadvantages of Python
Extensive LibrariesExtensibleEmbeddableImproved ProductivityIoT OpportunitiesSimple and EasyReadableObject-OrientedFree and Open-SourcePortable  Less Coding  Affordable  Python is for Everyone  Speed Limitations  Weak in Mobile Computing and Browsers  Design Restrictions  Underdeveloped Database Access Layers  Simple

Python Applications 

These are some real-world Python applications:

  • Web and Internet Development
  • Desktop GUI Applications
  • Science and Numeric
  • Software Development
  • Education
  • Database Access
  • Network Programming
  • Games and 3D Graphics

Let’s discuss each of them in detail:

1. Web and Internet Development

The web applications can be developed by python without too much trouble. Internet protocols have a set of libraries like HTML and XML, JSON, e-mail processing, FTP, IMAP. Yet, the package index has more libraries:

  • Requests – An HTTP client library.
  • BeautifulSoup – An HTML parser.
  • Feed parser – For parsing RSS/Atom feeds.
  • Paramiko – For implementing the SSH2 protocol.
  • Twisted Python – For asynchronous network programming.

2. Desktop GUI Applications

Most binary distributions of Python ship a standard GUI library that helps you to draft a user interface for an application. Some of the toolkits are available:

  • wxWidgets
  • Kivy – for writing multitouch applications
  • Qt via pyqt or pyside

Some platform-specific toolkits:

  • GTK+
  • Microsoft Foundation Classes through the win32 extensions
  • Delphi

3. Science and Numeric Applications

This is one of the extensively used applications. 

  • SciPy – SciPy is a combination of mathematics, science, and engineering.
  • Pandas– A data-analysis and -modeling library.
  • IPython – Helps in easy editing and recording of work sessions. 
  • Also, NumPy enables us to deal with complex numerical calculations.

4. Software Development

Software developers make use of Python for build-control and management, testing, and for a lot of other things:

  • SCons – For build-control.
  • Buildbot– For continuous compilation and testing.
  • Roundup, Trac – For project management and bug-tracking.
  • The roster of Integrated Development Environments

5. Education

  • Python makes for a great introductory programming language for newbies so, this has got a huge scope as it is a great language to teach in schools or even learn on your own.

6. Business

Python is a great choice to develop ERP and e-commerce systems:

  • Tryton – A three-tier, high-level, general-purpose application platform.
  • Odoo – A management software for business applications. 

7. Database Access

With Python, you have:

  • Custom interfaces to MySQL, Oracle, PostgreSQL, MS SQL Server, etc. These are freely available for download.
  • Object databases like Durus and ZODB.
  • Standard Database API.

8. Network Programming

Python provides support for lower-level network programming:

  • Twisted Python – A framework for asynchronous network programming. We mentioned it in section 2.
  • An easy-to-use socket interface

9. Games and 3D Graphics

This one is the most interesting application.

  • PyGame, PyKyra – Frameworks for game development with Python. 

10. Artificial Intelligence and Machine Learning

  • People went far beyond science fiction ideas and are keen to move to technologies where machines can mimic human behaviors, and machines are automating most of the human work. 
  • Statistically speaking that Python is the most popular language for Artificial intelligence and Machine Learning.

Career in Python 

  • Python is found to one of the most popular programming frameworks for data science across the world Today, Python Certification in Hindi is one of the most sought-after skills in the entire programming domain.
https://lh6.googleusercontent.com/oJlBaMQh5NEX4G2kJx4qmuZvG7c9CsjDG9nLOXU6nMkbE_BaSvYHtyMEuBEArXc3uoue4QV4HFu4_PWgM3oGUzDqjH76vFhQlOX7wfNa9tJh0hwfWTyWVUwlT9vjLfQO_A

Python Career Opportunities

Here are job roles that you can fill:

Python developer:
This is one of the easiest and in-demand jobs that you can expect to land after acquiring this skill. What does a Python developer do? Here are a few key responsibilities: 

  • Build websites
  • Resolve problems related to data analytics
  • Write codes that are both reusable and efficient
  • Optimize data algorithms
  • Implement data protection and security

Salary:

https://lh3.googleusercontent.com/v-JKf5m9HJsqAkTM8VN0jHVdXrOHbuvSTqtrofcSrwFbDBrjC1_15bzZ8UxonUq9DNKr8yg3urPZXNTvzvXdBS7Xll2QHORCxzbCbm5kAxaR858do-Kwqp3LQI1EtLdWVA

Data analyst:
This is a very interesting opportunity for those who like working with huge amounts of data and finding meaning in that data. No wonder more and more companies are looking for data analysts who are skilled in Python because Pandas, SciPy, and other Python libraries with experience in python to fill open positions.
Salary:https://lh3.googleusercontent.com/pZavG65CysiFjScQF_SjjWhPoaaaNve0u_oREVnuj5gDtu6N9S6cQM9IaWVqfzLMmJQYSpQOn62AAZE8d4G4dYDfu-qCiuutwGJdjeSQbcxSggq1TsS-6V2ad8YSMnRnVQ

Product manager:
Product managers have a very important role to play when it comes to building a product. Data is a very important part of the work they do as they study the market, research related to a particular product or category.
Salary: https://lh3.googleusercontent.com/NZ6XB1Gap9nuBAHG_CLMupvxGsOAMhs5qPVWXaSKoMehcRG3KoosEFeYcJx7meH4iCqF76GinkE3A-kHZG2jmP5THSZcRuVW86y7oG7EOjeuxv9ZaHN_AsHK2BbzVfLwig

Machine learning engineer:
Let me tell you that the job postings for this position have increased by more than 330% in the last couple of years. A machine learning engineer builds and trains machines, programs, and other computer-based systems by using a python programming language.
Salary:
https://lh3.googleusercontent.com/oNZiS-4XoaEdmYQcqRX3zc3Ki-3MEJfAMdrSPGJMhiPbcDmxdFhl6vAq8fQV8EWl9kz-eGsmJidZpd9UMnpk8h_FMxWzMNO9u2rWuAwU70fVT1o-iSbYG4kUlGiVaXsd9w

Data Scientist

Data scientists use their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets in both technology and social science to find trends and manage data.
Salary: 

https://lh6.googleusercontent.com/fWNk310DDfH-juX3oXvf6hTpU2Xx-crFXQnCzyPl1Ym8ViYmqKvXVaPexPuXc8SB4ISbS0EfgGiHLaSIX5eAnRKYWhZyCYdP1AufH9kzr0QyrZyHzSQn8cV4vqoq61_a_g

That brings us to the end of the basic tutorial, many industries are turning their production and development to make things automatic based on the concepts of AI and ML, with the help of python. 

You can also read answers to different popular questions about tech, games, digital marketing, SEO, and more on Answer Diary.

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