Hello Pythoners! In this irritable era, gathering together is fate. I am glad that all Pythoners can gather here. I hope that we can go on together and use Python to do some interesting and meaningful things.
When we use Python to program, we also need an awesome weapon to write our code - an editor! (Recommended learning: Python video tutorial)
Here I would like to tell you about the more mainstream Python editors on the market for your reference. You must know that the one that suits you is the best.
Sublime Text
Sublime Text is more suitable for Python novices. Sublime Text supports cross-platform and can use its rich plug-ins and themes. With various syntax highlighting and code completion, the overall look is quite comfortable, and the theme is not difficult to configure.
IDLE
If you are on a Windows system, you can use IDLE. It is an editor that comes with Pyhton, so you can also use it to play with at the beginning. IDLE has syntax highlighting and also allows you to run your program in IDLE. It will handle many things for you automatically. Such as debugging or something.
VIM
Vim is a powerful editor. If you are proficient in using Vim, you can completely get rid of the mouse and use your hands on the keyboard like playing the piano. It's so refreshing, but Vim requires a certain learning cost, and it takes some time to study the use of various shortcut commands and plug-ins, but in the long run, this will be of great benefit.
PyCharm
If you have used Intelij IDEA, you should not put it down, and this PyCharm is also from the same company, and it will be very easy to use. Many companies now use PyCharm, such as Twitter, Groupon, Spotify, eBay and Telefonica. However, you need to spend money to use its professional version.
Emacs
Emacs is also very popular in the python development community. It is an open source editor that supports plug-in extensions and can configure a python integrated development environment. Emacs is not just an editor, it is an integrated environment, which can be said to be an integrated development environment.
ok, I recommend these popular editors on the market. Of course, there are other editors. The one that suits you is the best. It’s fun to use it smoothly and not be awkward~
Here is some advice: Newbies can start using IDLE and Sublime Text first. Vim is a powerful editor. Take some time to study it. Believe me, you will really benefit a lot.
For more Python related technical articles, please visit the Python Tutorial column to learn!
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Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

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Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

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Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.


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