What can you do with python? Some things include:

What can you do with python? Some things include:

• Data analysis and machine learning
• Web development
• Automation or scripting
• Software testing and prototyping
• Everyday tasks
• Here’s a closer look at some of these common ways Python is used.

Data analysis and machine learning
Python has become a data science industry standard, allowing data analysts and other professionals to perform complicated statistical computations, produce data visualizations, design machine learning algorithms, handle and analyze data, and complete other data-related jobs.

Python can create a broad variety of data visualizations, such as line and bar graphs, pie charts, histograms, and 3D plots. Python also provides a number of libraries, such as TensorFlow and Keras, that allow programmers to develop data analysis and machine learning algorithms more rapidly and efficiently.

Web development
Python is frequently used to create the back end of a website or application—the elements that the user does not see. Python's function in web development may include sending and receiving data from servers, processing data and dealing with databases, URL routing, and security. Python provides a number of 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 among the web development positions that employ Python.

Automation or scripting
If you find yourself repeating a process, you may make it more efficient by automating it with Python. Scripting is the process of writing code that is used to create these automated procedures. Automation in coding can be used to check for flaws across numerous files, convert files, perform simple math, and delete data duplicates.

Python may even be used by novices to automate simple computer operations like renaming files, searching and downloading internet information, or sending emails or SMS at predetermined intervals.

Software testing and prototyping
Python can help with activities like build control, issue 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.

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