Uses of Python
1. What is Python Used for?
Python is a beginner-friendly Programming language and Python is commonly used for multiple purposes such as Competitive Programming, web Development, Machine Learning, Web Scraping, and Automation, Data Analysis. Since it is easy to learn due to its syntax, more new users are starting to learn it even with a non-tech background.
2. What are the applications of Python?
Python has so many applications in real life. These are some of the popular applications of Python
1. IoT
2. Image Recognition and Text Processing
3. Scientific Computing
4. Game Development
5. Data Analysis & Visualization
6. Artificial Intelligence
7. Web Scraping
Q3. Is Python good for Data Analysis and Data Science?
Yes, Python is widely used for Data Analysis and Data Science, due to its large library support such as NumPy, Pandas, and SciPy, which are used for data manipulation, statical analysis, and numerical computing. Also, Python has multiple IDEs specifically for data visualization and exploration which is mostly used in Data Science.
What is Python Used For? | 7 Practical Python Applications
Python is an interpreted and object-oriented Programming language commonly used for web development, Data Analysis, Artificial intelligence, and more. It has a very clean, beginner-friendly, and readable syntax. Due to its ecosystem of libraries, frameworks, and large community support, it has become a top preferred choice for developers in the industry over the last few years.
One of the best advantages of Python language is its libraries, if you want to learn web development then it has frameworks like Flask and Django, if you want to do competitive programming it has all the libraries of data structure, or if you want to learn automation or Machine learning, it has everything which a programmer needs. So, let’s discuss some of the use cases and applications of Python.