TensorFlow is one of the most popular open-source libraries for machine learning and deep neural networks in Python—initiated by the machine learning engineers at Google!
Problem Formulation: Given a PyCharm project. How to install the TensorFlow library in your project within a virtual environment or globally?
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
"tensorflow"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 TensorFlow, just type in “tensorflow” in the search field instead:
Make sure to only select the package “tensorflow” because there are many other packages that are not required but also contain the term “tensorflow” (False Positives):
Alternatively, you can run the
pip install tensorflow command in your PyCharm terminal view that makes use of the PIP package manager:
$ pip install tensorflow (venv) C:\Users\xcent\Desktop\Python\pythonProject>pip install tensorflow Collecting tensorflow Downloading tensorflow-2.6.0-cp39-cp39-win_amd64.whl (423.3 MB) |██████████████████ | 234.4 MB 3.3 MB/s eta 0:00:58
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