Merge pull request #39 from stefmolin/stefmolin-patch-1

Indicate that Python must be >= 3.7 and < 3.10 in the setup section.

README.md

@@ -63,7 +63,7 @@ All the code examples have been updated for newer versions of the libraries used
 
 [![Env Build Workflow Status](https://img.shields.io/github/actions/workflow/status/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/env-checks.yml?label=env%20build&logo=github&logoColor=white)](https://github.com/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/actions/workflows/env-checks.yml) ![GitHub repo size](https://img.shields.io/github/repo-size/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition?logo=git&logoColor=white)
 
-Environment setup instructions are in the chapter 1 of the text. If you don't have the book, you will need to install Python 3.7 (3.7.1 or higher) or higher, [set up a virtual environment](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#creating-a-virtual-environment), [activate it](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#activating-a-virtual-environment), [fork](https://docs.github.com/en/get-started/quickstart/fork-a-repo) and [clone](https://docs.github.com/en/get-started/quickstart/fork-a-repo#cloning-your-forked-repository) this repository to obtain a local copy of the files, [change the current directory](https://alligator.io/workflow/command-line-basics-changing-directories/) to your local copy of the files, and then [install the required packages using the requirements.txt file](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#using-requirements-files) inside the directory (note that `git` will need to be installed). You can then launch JupyterLab and use the `ch_01/checking_your_setup.ipynb` Jupyter notebook to check your setup. Consult [this resource](https://anbasile.github.io/programming/2017/06/25/jupyter-venv/) if you have issues with using your virtual environment in Jupyter.
+Environment setup instructions are in the chapter 1 of the text. If you don't have the book, you will need to install Python >= 3.7 and < 3.10, [set up a virtual environment](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#creating-a-virtual-environment), [activate it](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#activating-a-virtual-environment), [fork](https://docs.github.com/en/get-started/quickstart/fork-a-repo) and [clone](https://docs.github.com/en/get-started/quickstart/fork-a-repo#cloning-your-forked-repository) this repository to obtain a local copy of the files, [change the current directory](https://alligator.io/workflow/command-line-basics-changing-directories/) to your local copy of the files, and then [install the required packages using the requirements.txt file](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#using-requirements-files) inside the directory (note that `git` will need to be installed). You can then launch JupyterLab and use the `ch_01/checking_your_setup.ipynb` Jupyter notebook to check your setup. Consult [this resource](https://anbasile.github.io/programming/2017/06/25/jupyter-venv/) if you have issues with using your virtual environment in Jupyter.
 
 Alternatively, consider using this repository on [Binder](https://mybinder.org/v2/gh/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/master) or [Google Colab](https://colab.research.google.com/github/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/blob/master).