How to Install PyCharm and Anaconda for Data Science

PyCharm is a cross-platform IDE. JetBrains developed and manage PyCharm. Pycharm provides the tools for Python development. It is not only common for developers but for introductory to intermediate python/computer science college courses available for free. We already discussed about installation of Anaconda on Ubuntu. Installation of JDK 8 and installation of JDK 11 on Windows has been discussed in details. You need to download and install Python 3.x from the official website of Python. After installing Python, open command prompt. If we enter the python command in the command prompt, it will return error like below:

If we specify the full path to the executable, then it will give a meaningful result :

Read our guide how we edited the PATH for installation of JDK 11 on Windows. In the System variable window, find the Path variable and click Edit. Add the value beside the existing path of JDK with a semicolon (;), like ;C:\Python34. The above is the correct installation of JDK and Python on Windows. Install Anaconda after downloading Anaconda from the official site.

An important part of the installation process. The recommended approach is to not check the box to add Anaconda to your path in Windows. We suggest to check the box and get the path added. Thus, you’ll be able to use conda tool from the command prompt. Download the community edition of Pycharm and install it. The default installation process of PyCharm will need a specified version of JRE offered by JetBrains. If you have JDK properly installed still then you may install it. Open a new Command Prompt. Try typing conda --version and python --version into the Command Prompt to check to see if everything went well.

Open PyCharm after installation completes. Create a project, choose an interpreter (choose Anaconda) then “Create a New Project”. You can create a new Python file by right-clicking on the open project > New > Python File. Name the file something like example.py. You can install modules from PyCharm. As for macOS X and Linux, we use conda from the terminal/bash to install the modules. The way we have written this guide, you can use command prompt to install the modules on Windows too.