If you want to work on data science project or project which need python packages like numpy, scikit-learn, scipy, pandas etc. This is useful because an installation of Anaconda comes loaded with many different packages that you will need when working on a data science project, like numpy, scikit-learn, scipy, and pandas, to mention a few. After installing Anaconda, if you discover that you require more packages, you can use conda or pip to install them. You don't have to handle dependencies between several packages yourself, which is a huge benefit. Conda even makes switching between Python 2 and 3 simple (you can learn more here).
- Visit the official website of Anaconda and Click on the Window Icon
2. Click on the download button as shown in image
3. Open the installer file to install anconda.
4. Click on the next as shown in below image.
4. Read the licence and click on "I Agree"
5. Select Just me and Click on next again.
6. Choose the installation folder or you can install it on the default folder and click on next.
7. This step in the installation process is crucial. It is advised that you leave the box unchecked when adding Anaconda to your path. If you don't tick the option, you may always add Anaconda to your PATH later.
8. Once the installation is complete, click on the next.
9. Click on a finish to install Anaconda successfully.
Add Path To EnvironmentVariable(Not Mandatory)
This step is optional. If you didn't check the box in step 6 but still want to add Anaconda to your Path, do this. You will be able to use Anaconda in your Command Prompt, Git Bash, cmder, etc. as a result, which is useful.
1. Open the command prompt on your system.
2. Type the following command:
conda --version
python --version
3. Open an Anaconda Prompt and enter the following commands if you don't know where your Python or Conda are. You can use this to find out where Python and Conda reside on your computer.