May 31, 2021 Article blog
For many people, including the editor himself, it's easy to sink under Python's pomegranate skirt. S ince its birth in 1991, Python has become one of the most popular dynamic programming languages on the planet. This is evident from the TIOBE leaderboard.
With the advent of the era of big data, data analytics workers are becoming more and more popular with companies large and small, we know that there are many programming languages that can do data analysis, such as: R, Matlab, Python, and so on, for beginners who want to engage in data analysis, how to choose a suitable programming language? T he editor-in-chief suggests using Python for data analysis. The main reasons for this are the following:
1. Python's syntax is simple, the code is readable, easy to get started, and it is beneficial for beginners to learn; when we process data, we want to digitize it and convert it into digital form that computers can manipulate. We can do this directly with a row list derivation, which is very simple.
2. Python has a very mature library and an active community for data analysis and interaction, exploratory computing, and data visualization, making Python an important solution for data task processing. In terms of data processing and analysis, Python has the absolute advantage of numpy, pandas, Matplotlib, scikit-learn, IPython and other excellent libraries and tools, especially pandas, in data processing.
3, Python has a strong universal programming ability, which is different from other programming languages. P ython is not only powerful in data analysis, but also plays a very important role in reptiles, web, operations and even gaming. Companies can do all their services in one technology, which facilitates business consolidation and increases productivity.
4. Python is the preferred programming language for artificial intelligence. I n the age of artificial intelligence, Python has become the most popular programming language. Thanks to the simplicity of Python grammar and the abundance of libraries and communities, most deep learning frameworks give priority to supporting the Python language.
The above is a small editor to introduce the use of Python for data analysis reasons, I believe that in the future there will be more people and companies choose Python, the use of Python.