5 Easy-to-Use Python Tools | Increase Work Efficiency

Original article: [https://jp.scrapestorm.com/tutorial/5-easy-to-use-python-tools/](https://jp.scrapestorm.com/tutorial/5-easy-to-use- python-tools /) You need to be well prepared to do things. Good tools can significantly improve your work efficiency and help you realize your ideas more conveniently. The text introduces some tools that bring a lot of convenience to development. 1.Python Tutor Python Tutor is a free educational tool developed by Philip Guo. This helps you overcome the basic obstacles of learning programming and understand the process of each line of computer source code when the program is executed. With this tool, you can edit Python code directly in your web browser and gradually run your program visually. If you don't know how to execute your code in memory, you can copy it to Tutor for visual execution to get a better understanding. URL link: http://www.pythontutor.com/ 2.IPython IPython is a special Python interactive shell. IPython supports automatic variable completion, automatic indentation, bash shell commands, and many built-in functions, making it an ideal platform for scientific computing and interactive visualization. URL link: https://ipython.org/ 3.Jupyter Notebook Jupyter Notebook is like a draft book that combines text annotations, formulas, code, and visualization content to display as a web page, making it easier to share your documents. An essential tool for data analysis and machine learning. URL link: http://jupyter.org/ 4.Anaconda Python is great, but you can always run into various package management and Python version issues. In particular, many packages on the Windows platform cannot be installed successfully. Anaconda has arrived to solve these problems. Anoconda includes package management tools and a Python management environment, and comes with a number of commonly used data science packages that are also the standard for data analysis. URL link: https://www.anaconda.com/ 5.Skulpt Sculpt Sculpt is an online python execution environment implemented in JavaScript. You can easily run Python code in your browser. Combined with the CodeMirror editor, it provides a basic online Python editing and execution environment. URL link: http://www.skulpt.org/