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What are you searching for?
- 01
DESIGN TEMPLATES
Python is a universal language, simple and intuitive
- 02
EASY TO USE
Moreover, a testing framework is built into Python, its entry barrier is very low
- 03
A LOT OF TOOLS
Understandable not only to many programmers but also easy for statisticians, you can write a tool in it that integrates all the steps of your workflow
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DISCONNECTED COMPONENTS
The possibility of visualization is an important criterion in the selection of software for data analysis
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SEPARATED LOGIC
The IPython Notebook tool makes it easy to work with Python and data
PHYTON.
Python is a popular programming language for working with statistics. Python is renowned for its clear syntax. Python was created by Guido van Rossum in 1991. This language focuses on code performance and readability. This flexible language is great for everything innovative. Given its simplicity and readability, the learning curve for this language is relatively flat. The data science is rapidly taking up more and more impressive positions in the Python universe: expectations are growing, one after another new data applications appear.
