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Showing posts with label applications. Show all posts
Showing posts with label applications. Show all posts

Saturday, 10 June 2023

Why You Shoudl Learn Web Development In Python In 2023:15 Compelling Reasons

                                                    photo Canvas


In this post, we are going to explore 13 real-world examples of python in web development, giving examples of well known websites to innovative applications. You will see how python can power diverse and dynamic web projects, and you will learn some tips and tricks along the way.

13 real word examples of python in web development

1    Googleuses python for web crawling, search engine, Gmail, YouTube, and more.

2    Facebook:  

 Which is a big company, uses Python to do things like studying data, making search engines better, and managing their computers.

3    NASA:    NASA (National Aeronautics and Space Administration) which is a state-owned agency of the United
photo Google

 States of America in control of Civil space program using advanced research in aerospace and aeronautics. Python is a computer program that is used for science, processing data, and making things look real.

4    Netflix:    utilizes Python for the majority of its applications, which encompass data analysis, back-end web development, security automation, risk classification, vulnerability analysis, content recommendation analysis, machine learning, and numerous other related tasks.

5    Amazon:    Amazon uses Boto3, a Python-based AWS software development kit, to handle Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Services (S3), and Amazon DynamoDB.

6    Uber: Python is widely used by Uber for geolocation purposes, mathematical calculations, data management, and creating login functions.

With these, few discussions other big names which use python are;
7    Wikipedia
8    Instagram
9    Pinterest
10    Quora
11    Dropbox
12    Spotify
13    Reddit

Conclusion

Why are they using python?
Why do they utilize Python? Python is a flexible language that possesses great capabilities for various web-related endeavours. This includes constructing websites, creating programs, and offering services, with Python's repository of frameworks, libraries, and tools.

                                                photo courtesy inexturer.com

 It also benefits from having a wide and engaged community that actively aids in its growth and advancements. This article examines 13 examples depicting the practical applications of Python in web development, highlighting different challenges and use cases.

We hope you have learned something new with us and gained some inspiration for your own projects.
Fell free to comment, like, or give feedback. If you have enjoyed this post, don't forget to share with your friends, colleagues. Thanks for reading!


Tuesday, 16 February 2021

Applications Of Python Programming Language.

Python programming language was created by Guido Van Rossum in 1989. It is one of the most programming languages in both coding and data science. It is an open-source, high-level, and General-purpose programming language. It contains the features of Object Oriented, structural and Functional programs.
One advantage of python is that it can run in all major operating systems including Windows, Linux, and Ios.

Application.
1. Web Development. A python is a good tool for web development. Django, Pyramid, Flask, and Bottle are good for web frameworks.

2. Game Development. Python is loaded with gaming libraries like pySoy and pygame which are used widely for game development.

3. Desktop GUI. Python comes with many tools and frameworks that make desktop applications easy. The most used python GUI frameworks are Tkinter, Kivy, PyQt, WXpython, PyGUI, and many more.

4. Artificial Intelligence and Machine Learning. Python clearness, consistent and platform-independent, many libraries, makes it the best tool for AI and ML applications. Python packages for AI and ML are;
* Scipy
* Pandas
*Seaborn
*Keras.
*Numpy.

5. Scientific and Numeric Applications. Python contains one of the best tools for Scientific and Numeric Applications. Some packages for scientific and Numeric applications are Scipy, pandas, Ipython, Numeric Python, and Natural Language.

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