![install pycharm install pycharm](https://i.stack.imgur.com/ToCLt.png)
Let’s check out a cool feature of P圜harm Scientific View. Here I created and printed a variable called my_string. Add your code and click the green arrow to run the code in the cell. Click the ‘+’ button just below the Markdown cell to add a new cell. Notice that the right side panel displays a preview of your notebook. Then use Markdown formatting, such as ‘# Header’ like in my example here. In the editor next to the ‘#%’, add ‘md’ to set the cell type to Markdown. Let’s start editing our notebook by adding a Markdown cell. Here, I created a new notebook called pycharm.ipynb. Alternatively, if you just want to create a Python script you can select ‘Python File’. Then click the ‘Install Package’ button at the bottom of the window.Ĭreate a new Jupyter notebook by navigating to File > New… and selecting ‘Jupyter Notebook’. Then type ‘jupyter’ and select jupyter from the packages list.
![install pycharm install pycharm](https://i.ytimg.com/vi/OIzXPQF8DSU/maxresdefault.jpg)
#Install pycharm install
Install Jupyter by selecting P圜harm > Preferences > Project Interpreter, then click the “+” button to add new packages. Here, I created a new project called ‘pycharm’ in a directory on my desktop and selected Python 3.7 as my interpreter.
![install pycharm install pycharm](https://www.tutorials24x7.com/uploads/2019-12-27/files/4-tutorials24x7-python-pycharm-options.png)
If this is your first time developing in Python, I recommend going with the latest version 3.8.3.Ĭreate a new project in P圜harm and select your local Python interpreter. Install Python if you don’t already have it - you’ll need an interpreter in order to use P圜harm! Be aware that Python 2 and Python 3 are different in terms of syntax - don’t worry, you can load either version in P圜harm when you start a new project. Plus P圜harm Professional is free for students! Install P圜harm.I highly recommend installing P圜harm Professional because you get more features like SciView that are awesome for data science.