What are the five useful Python tools?
What are the five useful Python tools? I believe many inexperienced people are at a loss about this. Therefore, this article summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.
Python Tutor
Python Tutor is a free educational tool developed by Philip Guo that can help students overcome the basic obstacles in programming learning and understand the process of each line of source code on the computer when the program is executed. With this tool, teachers or students can write Python code directly in the Web browser and run the program visually step by step. If you don't know how the code works in memory, copy it to Tutor and visually execute it to deepen your understanding.
IPython
IPython is a for Humans Python interactive shell, after using it, you do not want to use your own Python shell, IPython supports automatic completion of variables, automatic indentation, support bash shell commands, built-in many practical functions and functions, it is also the best platform for scientific computing and interactive visualization.
Jupyter Notebook
Jupyter Notebook is like a draft, combining text comments, mathematical equations, code, and visual content into an easy-to-share document, presented as a Web page. It is a necessary tool for data analysis and machine learning.
Anaconda
Although Python is good, it always encounters all kinds of package management and Python version problems, especially many packages on Windows platform can not be installed properly. In order to solve these problems, Anoconda appeared. Anoconda includes a package management tool and a Python management environment, as well as a large number of commonly used data science packages, which is also standard for data analysis.
Skulpt
Skulpt is an online Python execution environment implemented in Javascript, which allows you to easily run Python code in a browser. A basic online Python editing and running environment can be realized by using skulpt combined with CodeMirror editor.
After reading the above, do you know what the five useful Python tools are? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!