PySpark is a Python library providing an API for Apache Spark. The Spark framework is a distributed engine for set computations on large-scale data facilitating distributed data analytics and machine learning.
You can learn more about the career opportunities of Spark developers in my detailed blog guide:
Problem Formulation: Given a PyCharm project. How to install the PySpark library in your project within a virtual environment or globally?
Here’s a solution that always works:
- Open
File > Settings > Projectfrom the PyCharm menu. - Select your current project.
- Click the
Python Interpretertab within your project tab. - Click the small
+symbol to add a new library to the project. - Now type in the library to be installed, in your example
"pyspark"without quotes, and clickInstall Package. - Wait for the installation to terminate and close all popup windows.
Here’s the installation process as a short animated video—it works analogously for PySpark, just type in “pyspark” in the search field instead:
Make sure to select only “pyspark” because there are many other packages that are not required but also contain the term “pyspark” (False positives):
Alternatively, you can run the pip install pyspark command in your PyCharm “Terminal” view:
$ pip install pyspark
Feel free to check out the following free email academy with Python cheat sheets to boost your coding skills!
To become a PyCharm master, check out our full course on the Finxter Computer Science Academy available for free for all Finxter Premium Members:
