SoFunction
Updated on 2024-11-18

5 useful python tools recommendations

Python Tutor

Python Tutor is a free educational tool developed by Philip Guo to help students overcome the basic barriers to learning programming and understand how each line of source code travels through the computer as the program executes. With this tool, teachers or students can write Python code directly in a web browser and run the program visually step-by-step. If you don't know how the code runs in memory, copy it into Tutor and run it visually to deepen your understanding.

Address:/

IPython

IPython is an interactive Python shell for Humans. You won't want to use the Python shell that comes with it anymore. IPython has support for variable auto-completion, auto-indentation, bash shell commands, lots of built-in utilities and functions, and it's a great platform for scientific computation and interactive visualization. It is also the best platform for scientific computing and interactive visualization.

Address:/

Jupyter Notebook

Jupyter Notebook is like a sketchbook that combines text annotations, mathematical equations, code, and visualizations all into one easy-to-share document presented as a Web page. It is an essential tool for data analysis and machine learning.

Address: /

Anaconda

Python is good, but always encounter a variety of package management and Python version of the problem, especially the Windows platform, many packages can not be installed properly, in order to solve these problems, Anoconda appeared, Anoconda includes a package management tool and a Python management environment, accompanied by a large number of commonly used data science packages, but also the data analysis of the standard.

Address:/

Skulpt

Skulpt is an online Python execution environment implemented in Javascript that makes it easy to run Python code in your browser. Use skulpt in conjunction with the CodeMirror editor for a basic online Python editing and running environment.

Address:/

Above is the 5 practical python tools recommended in detail, more information about python tools please pay attention to my other related articles!