


Python has now become the most cutting-edge programming language, and the era of Python is coming. Like scripting languages such as Perl, PHP and Ruby many years ago, Python has now become the focus of discussion in many well-known technology communities. Such as: GitHub, Stack Overflow.
More importantly, it is considered the most popular language in the field of machine learning. Since Python scripting language is very attractive for machine learning and data science, Python has become popular with the development of artificial intelligence. .
With the rise of Python, its related IDEs and Python editors have also begun to be developed. So which IDEs and editors are really commonly used by programmers and developers, and which ones are well received by everyone?
The following will introduce the well-known editors of Python.
1.Sublime Text
Python Video Tutorial"
2, Pycharm
3. Vim
4. Emacs
Advantages: It is simply an artifact. In addition to programming, you can also use it to write papers, make slideshows, browse the web, send and receive emails, chat, listen to music, look at photos, play games...
Disadvantages: The startup time of emacs... Modern IDEs basically face the concept of "project", so it will be very painful when Emacs is file-oriented.
5. Summary
I recommend these popular editors. Of course, there are other editors. The one that suits you best is the best. It is the last word that it is easy to use.
The suggestion here is that novices can start using Sublime Text first. Vim is a powerful editor. If you have nothing to do, take some time to study it. Believe me, you will really benefit a lot.
The above is the detailed content of Several editors that are essential to becoming a Python master. For more information, please follow other related articles on the PHP Chinese website!

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

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.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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