For friends who have zero foundation, there is a small threshold or test for learning Python, which is to choose a tool for writing code.
Simple, just search online and find out what tools to use to write Python code. The answers are varied, including various editors and IDEs. Can you try them one by one?
Oh my god, I’ve been ruined by tools before I even started learning. (Recommended learning: Python video tutorial)
In fact, when learning Python, or any other programming language, what editing tools (development tools) you use is not the most important, as long as you choose to be familiar with it Just use a comfortable and simple editor. The focus of the learning process is to learn Python's syntax, functions, etc. No matter what you use, syntax and functions are the foundation of Python, and programming tools are just tools.
For beginners, IDE (integrated development environment) is actually not a good choice. The powerful functions of IDE will help beginners complete a lot of work, causing them to ignore some very important syntax or functions. If you rely too much on the IDE, a beginner may quickly complete a piece of code and run it successfully. However, without the IDE, the same program may have various bugs, such as spelling, format, etc.
Therefore, for beginners to learn Python, or other programming languages, the best programming tool is a text editor. It does not need too fancy functions, as long as it runs fast and takes up less resources, it is OK.
So which editor to choose?
The best choice is a cross-platform editor, which can run on MacOS, Windows, Linux and other operating systems.
Reason: When you change the operating platform, you can still use familiar tools to write some code, reducing the learning cost of familiar tools.
For example, Sublime Text, Atom, Visual Studio Code, gEdit, jEdit, etc., and of course the famous vim and emacs.
So many, how to choose?
The principle is just one, convenient, familiar, and lightweight.
I personally use vi and Sublime Text 3.
If I recommend it to everyone, it is Sublime Text 3, which is what I have been recommending.
Lightweight, this one is enough.
When you open Sublime Text 3, it opens in seconds, where the seconds are less than 1 second.
For more Python related technical articles, please visit the Python Tutorial column to learn!
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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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