What is python LEARNOVITA

Practical Applications of Python | All you need to know [ OverView ]

Last updated on 28th Oct 2022, Artciles, Blog

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Nirvi (Python developer )

Nirvi is a Python developer with 7+ years of experience in the Hadoop ecosystem, Sqoop, Hive, Spark, Scala, HBase, MapReduce, and NoSQL databases, such as HBase, Cassandra, and MongoDB. She spends most of her time researching technology and startups.

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    • In this article you will get
    • 1.What is Python?
    • 2.What is Python used for?
    • 3.What can you do with python?
    • 4.Why is Python so popular?
    • 5.Conclusion

What is Python?

Python is the computer programming language often used to build a websites and software, automate tasks, and conduct data analysis.Python is a general-purpose language, meaning it can be used to generate a variety of various programs and isn’t specialized for any specific problems. This versatility, along with beginner-friendliness, has made it one of the most-used programming languages today.A survey conducted by an industry analyst firm RedMonk found that it was second-most popular programming language among the developers.

What is Python used for?

Python is generally used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively simple to learn, Python has been adopted by more non-programmers such as accountants and scientists, for a variety of everyday tasks, like an organizing finances.

“Writing a programs is a very creative and rewarding activity,” says University of a Michigan and Coursera instructor Charles R Severance in his book Python for Everybody.

And can write a programs for more reasons, ranging from making living to solving a complex data analysis problem to having fun to helping someone else resolve a problem.”

Python uses

What can you do with Python?

  • Data analysis and machine learning
  • Web development
  • Automation or scripting
  • Software testing and prototyping
  • Everyday tasks

Data analysis and machine learning:

Python has become staple in data science, allowing the data analysts and other professionals to use language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete the other data-related tasks.

Python can build a wide range of various data visualizations, like line and bar graphs, pie charts, histograms, and 3D plots.

Python also has a number of libraries that enable a coders to write programs for data analysis and machine learning more quickly and efficiently, like TensorFlow and Keras.

Web development:

Python is often used to develop a back end of a website or application—the parts that a user doesn’t see.

Python’s role in a web development can include sending data to and from the servers, processing data and communicating with databases, URL routing, and ensuring security.

Python provide a several frameworks for web development. Commonly used ones include a Django and Flask.

Some web development jobs that used Python include a back end engineers, full stack engineers, Python developers, software engineers, and DevOps engineers.

Automation or scripting:

If find yourself performing a task repeatedly,and could work more efficiently by automating it with Python.

Writing code used to build these automated processes is called a scripting.

In coding world, automation can be used to check for an errors across multiple files, convert files, execute simple math, and remove the duplicates in data.

Python can even be used by a relative beginners to automate simple tasks on a computer.

Such as renaming files, finding and downloading online content or sending emails or texts at a desired intervals.

Software testing and prototyping:

  • In software development, Python can aid in tasks like a build control, bug tracking, and testing.
  • With the Python, software developers can automate testing for a new products or features.
  • Some Python tools used for a software testing include a Green and Requestium.

Everyday tasks:

  • Python isn’t only for a programmers and data scientists.
  • Learning Python can open a new possibilities for those in less data-heavy professions, like journalists, small business owners, or social media marketers.
  • Python can also enable the non-programmers to simplify certain tasks in their lives.

Here are just a few of tasks could automate with a Python:

  • Keep track of a stock market or crypto prices.
  • Send a text reminder to carry an umbrella anytime it’s raining.
  • Update a grocery shopping list.
  • Renaming large batches of a files.
  • Converting text files to the spreadsheets.
  • Randomly assign chores to the family members.
  • Fill out online forms an automatically.
Uses of Python

Why is Python so popular?

Python is famous for a number of reasons. Here’s a deeper look at what makes it too versatile and simple to use for coders.

  • It has a easy syntax that mimics natural language, so it’s easier to read and also understand.
  • This makes it quicker to build a projects, and faster to improve on them.
  • It’s versatile.
  • Python can be used for a many various tasks, from web development to machine learning.
  • It’s beginner friendly, making it popular for an entry-level coders.
  • It’s open source, which means it’s free to use and distribute, even for the commercial purposes.
  • Python’s archive of modules and libraries—bundles of code that third-party users have created to an expand Python’s capabilities—is vast and growing.
  • Python has a large and active community that contributes to Python’s pool of modules and also libraries, and acts as a helpful resource for other programmers.
  • The vast support community means that if coders run into the stumbling block, finding a solution is relatively easy; somebody is bound to have encountered a same problem before.


Python is the fully-fledged programming language.Any code download from a github, the Python Package Index, or anywhere else, can be malicious and would almost certainly go unnoticed by the most people’s firewalls.


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