- By Han Xinzi @Showmeai
- Tutorial address: www.showmeai.tech/tutorials/5…
- This paper addresses: www.showmeai.tech/article-det…
- Statement: All rights reserved, please contact the platform and the author and indicate the source
The introduction
Python is an object-oriented, interpreted computer programming language. It can be used in Linux, macOS, and Windows systems, and it can be written to run on different platforms with little need for major changes. Users benefit from its convenience.
In addition, Python’s power lies in its wide range of applications, ranging from artificial intelligence, scientific computing, Web development, system operation and maintenance, big data and cloud computing, finance, and game development. The premise of its power is that Python has a large and relatively full-featured standard library and third-party library. Through reference to the library, the development of different areas of business can be realized. However, because of the sheer number of libraries, managing them and maintaining them in a timely manner has become both important and complex.
In this section, we will introduce you to the installation, configuration, and use of Anaconda, the Integrated development environment for Python. You will use this environment frequently in the subsequent Python and data science learning process.
1. Content introduction
Reading this brief introduction to the Python integrated Development Environment, you will learn:
- A brief introduction to Anaconda;
- Anaconda suitable platform and installation conditions;
- Anaconda installation steps;
- Anaconda tool library management;
2. The Anaconda is introduced
(1) Introduction to Anaconda
Anaconda (official website) is a distribution that makes it easy to get packages, manage packages, and manage the environment in a unified way. Anaconda includes more than 180 science packages and their dependencies, including Conda and Python.
(2) Characteristics of Anaconda
Anaconda has the following characteristics:
- Open source
- Simple installation process
- High performance uses Python and R
- Free community support
- The implementation of its features is based on Anaconda’s own package: Conda, environment manager, and 1,000+ open source libraries
If you don’t need to use more than 1,000 libraries for your daily work or study, consider installing Miniconda. This section doesn’t cover installing and using Miniconda.
(3) Application scenarios and advantages of Anaconda
If you want to use Python for data analysis and machine learning, it can be used in artificial intelligence, scientific computing, Web development, system operation and maintenance, big data and cloud computing, finance and other fields. Download and install the Anaconda integration environment to help you set up your basic data science and machine learning tool libraries.
- A series of tool libraries that can be installed and used
- Have interface application and package management application -Navigator
- There are learning community resources
3. Applicable platform and installation conditions of Anaconda
(1) Applicable platform
Anaconda can be installed and used on the following system platforms:
- Windows
- macOS
- Linux (x86 / Power8)
(2) Installation conditions
- System requirements: 32-bit or 64-bit system
- Download file size: about 500MB
- Space required: 3GB space (Miniconda only needs 400MB)
4. Install Anaconda
(1) Install Anaconda on macOS
1) Go to the official download page to download. Python3. x or later is recommended.
2) After downloading, double-click to download the file.
3) Select “Install for me Only” in the “Destination Select” section and click Next.
4) In the “Installation Type” section, you can click “Change Install Location” to Change the Installation Location. If you select the default installation path, click Install.
5) Wait until The “Installation” part ends. If “The Installation was completed successfully” is displayed in The “Summary” part, The Installation is successful. Click “Close” to Close The dialog box.
6) You can find an icon called “Anaconda-Navigator” on your MAC’s Launchpad. Click to open it.
7) If “Anaconda-Navigator” starts successfully, it means that Anaconda has been successfully installed.
8) Complete the installation.
(2) Install Anaconda in Windows
1) Go to the official download page to download. Select Python 3.X to download.
2) After downloading, double-click the downloaded file to start the installation program.
3) Select Next.
4) Read the terms of the license agreement, then check “I Agree” and go to the next step.
5) Unless you are installing as an administrator for all users, Just check “Just Me” and click “Next”.
6) In the Choose Install Location screen, select the destination path for installing Anaconda and click Next.
7) In Advanced Installation Options, select Register Anaconda as my default Python 3.x. Then click “Install” to start the installation.
8) Click “Next”.
9) Enter “Thanks for Installing Anaconda!” The screen indicates that the installation is successful. Click “Finish” to complete the installation.
10) Verify the installation result.
- Start → Anaconda3 (64-bit) → Anaconda Navigator. If Anaconda Navigator is successfully started, the installation is successful.
(3) Install Anaconda in Linux
If you have anaconda installation requirements for Linux, please refer to this article.
5. Tool library management
You can use the third party extension kit required for Anaconda Navigator installation to develop and apply various verticals based on Python.
Specific operation: select Environment –> Select Environment (gl-env, generally select BASE)–> search for the package you need to download (matplotlib), click “Apply”, and wait for the download.
Video tutorials
Please click on station B to view the [bilingual subtitle] version
www.bilibili.com/video/BV1yg…
Information and code download
This series of tutorials can be downloaded from Github on ShowMeAI, which can be run locally in Python. If you can use Google Colab, you can also use Google Colab.
The Python sketchbooks covered in this tutorial series can be downloaded at:
- Python quick table
Expanded Reference materials
- Anaconda official website
- Conda official website
- PIP official website
- Conda official User guide
- Anaconda Cheat Sheet
- What is the correct position for a beginner to teach himself Anaconda? The monkey’s answer
ShowMeAI related articles recommended
- Python is introduced
- Python installation and environment configuration
- Basic Python syntax
- Basic Python data types
- Python operator.
- Python conditional control with if statements
- Python loop statements
- Python while loop
- The python for loop
- Python break statement
- Python continue statement
- Python pass statement
- Python strings and operations
- Python list
- The python tuple
- Python dictionary
- Python set
- Python functions
- Python iterators and generators
- Python data structures
- Python module
- Python file reading and writing
- Python file and directory operations
- Python error and exception handling
- Object-oriented programming in Python
- Python namespaces and scopes
- Python time and date
ShowMeAI series tutorials recommended
- Illustrated Python programming: From beginner to Master series of tutorials
- Illustrated Data Analysis: From beginner to master series of tutorials
- The mathematical Basics of AI: From beginner to Master series of tutorials
- Illustrated Big Data Technology: From beginner to master
