scipy-linalg

scipy-linalg/README.md

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+# Working With Linear Systems in Python
+
+This directory contains code associated with the Real Python tutorials:
+
+- [Working With Linear Systems in Python With `scipy.linalg`](https://realpython.com/python-scipy-linalg/)
+- [Linear Algebra in Python: Matrix Inverses and Least Squares](https://realpython.com/python-linear-algebra/)
+
+See the tutorials for details.
+
+## Installation
+
+Use [Conda](https://docs.conda.io/en/latest/miniconda.html) to create and activate a virtual environment:
+
+```console
+$ conda create --name linalg
+$ conda activate linalg
+```
+
+Install packages into your environment:
+
+```console
+(linalg) $ conda install numpy scipy matplotlib pandas jupyter
+```
+
+## Code
+
+The code from the tutorials is available as notebooks that you can open with [Jupyter](https://realpython.com/jupyter-notebook-introduction/):
+
+- Working With Linear Systems in Python With `scipy.linalg` [notebook](linear-systems.ipynb)
+- Linear Algebra in Python: Matrix Inverses and Least Squares [notebook](matrix-inverses-least-squares.ipynb)
+
+## Data
+
+You can find [`vehicles_cleaned.csv`](vehicles_cleaned.csv) in this directory. The dataset is adapted from https://www.kaggle.com/austinreese/craigslist-carstrucks-data and used in Linear Algebra in Python: Matrix Inverses and Least Squares. The [vehicles-data-preparation](vehicles-data-preparation.ipynb) notebook shows how the dataset was cleaned and prepared.
+
+## About the Author
+
+Renato Candido - <https://realpython.com/team/rcandido/> 
+
+## License
+
+Distributed under the MIT license. See [`LICENSE`](../LICENSE) for more information.