One common error you may encounter when using Python is:

Import error: no module named 'numpy'

This error occurs when Python does not detect the library in your current environment.

This tutorial shares the exact steps you can use to troubleshoot this error.

Step 1: pip install numpy

Since NumPy doesn’t come installed automatically with Python, you’ll need to install it yourself. The easiest way to do so is by using pip, which is a package manager for Python.

You can run the following pip command to install NumPy:

pip install numpy

For python 3 you can use:

pip3 install numpy

In most cases, this will fix the error.

Step 2: Install pip

If you’re still getting an error, you may need to install pip. Use to do so.

You can also use to upgrade pip to the latest version to ensure that it works.

You can then run the same pip command as earlier to install NumPy:

pip install numpy

At this point, the error should be resolved.

Step 3: Check NumPy Version

Once you’ve successfully installed NumPy, you can use the following command to display the NumPy version in your environment:

pip show numpy

Name: numpy
Version: 1.20.3
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email: None
License: BSD
Location: /srv/conda/envs/notebook/lib/python3.7/site-packages
Requires: 
Required-by: tensorflow, tensorflow-estimator, tensorboard, statsmodels, seaborn,
scipy, scikit-learn, PyWavelets, patsy, pandas, matplotlib, Keras-Preprocessing,
Keras-Applications, imageio, h5py, bqplot, bokeh, altair
Note: you may need to restart the kernel to use updated packages.

The following tutorials explain how to fix other common problems in Python: