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:
Here’s a solution that always works:
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 click
- 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
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