/1 Introduction/
In the previous article, we have learned about the difference between Anaconda and directly installing Python, the difference between Anaconda and virtualenv, and the difference between Anaconda and Miniconda. In this article, we will install Anaconda.
The editor’s computer is a win10 system. Here we take the win10 system to install Anaconda as an example. The installation process of other systems is similar. You can follow the example of a cat and a tiger. Please see the specific installation process below.
#/2 Download software/
1. First, go to the official website to download the software. Download address:
https://docs.anaconda.com/anaconda/install/windows/
#2. Click on the red box and step by step, and finally download.
#3. Click download to download, as shown in the figure below.
4. According to the number of digits of the computer, select the corresponding version to download.
5. After downloading the software, save it locally and wait for installation.
##/3 Installing Anaconda under win10 platform/
1. Double-click the installation package to install, and click Next.
#2. Select the installation location and be sure to remember it.
3. This step is to choose whether to check the environment variable. Leave it unchecked for now and configure it later. Then click install to install.
#4. The installation is in progress, waiting for the installation to complete.
5. The installation will be completed after a while. Follow the following prompts to check You can check or uncheck it, and click finish to indicate that the installation is complete.
#/4 Summary/ This article mainly introduces the downloading and installation methods of Anaconda3 and a step-by-step tutorial. I hope it will be helpful to those who are new to Anaconda.
The above is the detailed content of Teach you step by step how to install Anaconda. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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