What is the purpose of Python?

 What is the purpose of Python?

Python is commonly used for website and software development, task automation, data analysis, and data visualisation. Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, such as financial organisation, due to its ease of learning. You can learn python in a Python training course Delhi in Uncodemy.



Machine learning and data analysis

Python has become a data science industry standard, allowing data analysts and other professionals to perform complex statistical calculations, create data visualisations, build machine learning algorithms, manipulate and analyse data, and complete other data-related tasks.

Python can create a wide variety of data visualisations, such as line and bar graphs, pie charts, histograms, and 3D plots. TensorFlow and Keras are two Python libraries that help programmers write data analysis and machine learning programmes more quickly and efficiently.

Website development

Python is frequently used to create the parts of a website or application that the user does not see. Python's role in web development can include data transfer to and from servers, data processing and database communication, URL routing, and security. Python provides several frameworks for web development. Django and Flask are two popular ones.

Back-end engineers, full-stack engineers, Python developers, software engineers, and DevOps engineers are examples of Python web development jobs.

Scripting or automation

If you find yourself repeating a task, you could make it more efficient by automating it with Python. Scripting is the process of writing code that is used to create these automated processes. Automation in coding can be used to check for errors across multiple files, convert files, perform simple math, and remove data duplicates.

Python can even be used by novices to automate simple computer tasks like renaming files, finding and downloading online content, or sending emails or texts at predetermined intervals.

Prototyping and testing of software

Python can help with tasks like build control, bug tracking, and testing in software development. Software developers can use Python to automate testing for new products or features. Green and Requestium are two Python software testing tools.

Routine tasks

Python isn't just for coders and data scientists. Learning Python can open doors to new opportunities for those in less data-intensive professions such as journalists, small business owners, and social media marketers. Python can also help non-programmers simplify their lives by automating certain tasks. Here are a few examples of tasks you could automate with Python:

  • Keep an eye on the stock market or cryptocurrency prices.

  • Send yourself a text reminder to bring an umbrella whenever it rains.

  • Make changes to your grocery list

  • Renaming a large number of files

  • Text to spreadsheet conversion

  • Assign chores to family members at random

  • Automatically fill out online forms

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