Introduction to Anaconda
Anaconda is an open source package and environment manager. It contains more than 180 scientific packages and their dependencies such as conda and Python. It can be used to install different versions of software packages and their dependencies on the same machine, and can be used on different machines. Switch between environments.
Anaconda can be regarded as a software package management tool. It has practical functions such as installation, uninstallation, update, viewing, search, etc. Simple mouse operations can realize package management, without us having to worry about various dependencies and file paths. Very convenient and fast.
Anaconda includes Conda, Python and a lot of installed tool packages, such as:
1. NumPy: scientific computing package;
2. SciPy: built on the basis of NumPy, a more powerful scientific computing package;
3. Matplotlib: similar to Matlab Drawing toolkit;
4. Scikit-learn: classic machine learning toolkit;
5. Pandas: data processing and analysis toolkit.
Installation Notes
There are many ways to install the Python editor: Jupyter is recommended.
Reason for recommendation: Simple and convenient, saving time and effort!
Jupyter is the editor that comes with Anaconda, so we only need to install Anaconda. Anaconda can be understood as a converter that allows your computer to recognize Python code."
Jupyter, simply understood, is software for writing Python. For example, if you want to write an article, you need word software; similarly, if you want to write Python code, you need Jupyter software.
The installation environment of Python mainly requires three software: Python interpreter, software package management system (pip), and editor (such as Jupyter).
When the Anconda software is installed, it will automatically install the Python interpreter and Pip for you, and it will also come with its own editor (Jupyter). To sum up, installing Anconda is a good choice.
Installation package download
Use the Anaconda Tsinghua mirror URL to download. Anaconda Tsinghua Mirror URL
Scroll down to find the corresponding version and download it.
installation steps
1. Download the installation package and double-click the downloaded Anaconda3-5.3.0-Windows-x86_64.exe file. The following interface will appear, click Next.
2. Click I Agree. If you disagree, of course you will not be able to continue the installation.
3. If there is only one user in the system, select "Just Me". If there are multiple users and they are all used, select "All users" and click Next.
4. In order to avoid unnecessary trouble in the future, it is recommended to choose the default installation path. If the default is wrong here, you can create a new Anaconda3 file on the C disk and install it.
5. Be sure to check both of them and click Install.
After a few minutes, a pop-up window "Installation Complete" appears. Click "Next". 360 Security Guard may block the installation during the installation process. Please allow all operations this time.
6. You can click "Finish" directly without checking this interface to complete the installation.
Jupyter
Instructions for use
1. After the installation is complete, find the Anaconda3 (64-bit) folder under the start menu and click on the Jupyter Notebook software.
2. At this point, the page runs Jupyter Notebook. If everything goes well, a new page should be created in your browser. Tip: If a terminal window pops up, do not close it first, otherwise it will affect the use of Jupyter.
3. In order to facilitate the management of python files, first we create a folder (English: Folder), click new - click "Folder".
4. To make it easier to find the folder, check the folder - click Rename to rename it.
5. Click on your folder, continue to click New on the right, click on the drop-down menu to see Python3, click on it to create a new Python interactive environment (that is, the environment for writing code):
6. Enter print (Hello, World ") in the interactive environment, click Run" on the menu bar (run the shortcut key shift+Enter, provided that the code has been written), the running results are as follows:
7. Click "File", where "Save as." means saving, and "Rename." means renaming the file. As shown below, the Python file code named "Hello" makes it easy to find the code.
8. If you want to delete redundant lines of code, you can click "Edit-"Delete cells"
Learning the Python language is more about getting started with practice, and installing the Anaconda software is the first step to learn Python. A lot of "code" needs to be run in the Anaconda environment. After studying this article, I believe you can complete the Anaconda software independently. Installation, now is the information age, tens of thousands of data need to be processed, data analysis skills have become standard for professionals. If you also want to improve your skills in your spare time, I am here to share with you some free courses for everyone. Study, below are screenshots from the course, scan the QR code at the bottom to get them all.
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