In the era of the opening of artificial intelligence, Python has a predictable future as the language of choice for artificial intelligence. Therefore more and more people are learning Python. However, many beginners who are learning Python for the first time must have had the experience of suffering a lot because of the lack of good Python development tools. The truth is that only in practice will you realize it. So what are the best tools for Python? What are the characteristics of each development tool? In this article, I'll introduce some popular and useful tools for beginners on the above issues.
I. The strongest terminal: Upterm
I was going to recommend fish or zsh, but I was mainly interested in the auto-completion feature. Recently, I've been using Upterm, which is actually very simple and easy to use. It's an all-platform terminal, which can be said to be the IDE of terminals, with powerful auto-completion features. The previous name was BlackWindow, but some people told him that this name is not good for community promotion, so he changed the name to Upterm, and now it has 17000+ stars.
II. Interactive Interpreter: Ptpython
An interactive Python interpreter. Supports syntax highlighting, hints, and even vim and emacs typing modes.
III. Package Management Essentials: Anaconda
Anaconda is highly recommended to help you install a lot of troublesome things, including: Python environment, pip package management tools, commonly used libraries, configure the environment path and so on. If you do all these things one by one, you will easily encounter all kinds of problems and bring frustration. If you want to use Python to mess with the data side of things, just install it, it even developed a set of JIT interpreter Numba. so Anaconda has JIT, the efficiency of online scientific computation requirements of higher things can also be messed with.
IV. Editor: Sublime3
If you are a beginner, of course, we recommend starting with PyCharm, but sometimes you want to use a lighter tool for writing lightweight scripts, Sublime 3 has been greatly improved in many areas and is even easier to use than the original. Together with the installation of Anaconda or CodeIntel plug-ins, you can make Sublime have an almost IDE experience.
V. Front-end online editor: CodeSandbox
Although this is not really a Python development tools, but if the back-end engineers want to write front-end, this online editor is too convenient, simply save the life of the back-end engineers ah! Do not have to install npm's thousands of packages, it has been done in the cloud, pick let you directly on the hand to write code, see the effect. For React, Vue these mainstream front-end frameworks are supported. Sort of a recommendation to add it.
VI. Python Tutor
Python Tutor is a free educational tool developed by Philip Guo to help students overcome the basic barriers to programming learning 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, you may want to copy it into Tutor to visualize and execute it again to deepen your understanding.
VII. 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.
VIII. 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.
IX. 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.
X. Skulpt
Skulpt is an online Python execution environment implemented in Java 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.
The above ten Python development tools I recommend, although they are all very good, but you do not have to install all of them, after all, what suits you is the best, you can choose according to your own needs. More related Python development tools content please search my previous posts or continue to browse the following related articles I hope you will support me more in the future!