Updated Module 01

Author: Sampreet

modules/m01-getting-started/m01t01-setting-up-python.md

@@ -30,17 +30,17 @@ Before installing Anaconda, update the *Debian* build-tools by executing:
 sudo apt-get install --upgrade build-essential
 ```
 
-Download the command line installer (`.sh`) for the latest version of Anaconda Python from the [individual product download page](https://www.anaconda.com/products/individual). Alternatively, you can download the installer from the terminal using `curl` (cURL) using the following commands:
+Download the command line installer (`.sh`) for the latest version of Anaconda Python from the [individual product download page](https://www.anaconda.com/products/individual). Alternatively, you can download the installer from the terminal using `curl` (cURL) using the following commands (select the lastest build from [the archive](https://repo.anaconda.com/archive), in this case `2024.10-1`):
 
 ```bash
 sudo apt-get install --upgrade curl
-curl -O https://repo.anaconda.com/archive/Anaconda3-2020.07-Linux-x86_64.sh
+curl -O https://repo.anaconda.com/archive/Anaconda3-2024.02-1-Linux-x86_64.sh
 ```
 
-Install the downloaded file by running the following command in the terminal, replacing `path/to/downloaded/file` with the complete path to the directory of the file along with the file name:
+Install the downloaded file by running the following command in the terminal, replacing `path-to-downloaded-file` with the complete path to the directory of the file along with the file name:
 
 ```bash
-bash path/to/downloaded/file.sh
+bash path-to-downloaded-file.sh
 ```
 
 ***Note: Linux usually comes with official Python distributions accessible through `python3` for version 3.x and `python` for version 2.x.*** 
@@ -83,22 +83,23 @@ Python 3.x.x
 It is useful to create individual virtual environments to run different versions of Python depending on the requirements of specific packages. 
 And the `conda` package provides an easy way to manage such virtual environments.
 
-To create a new environment (say, by the name `py38`) supporting a particular version of Python (say Python 3.8.x), use the following command:
+The default environment typically goes by the name `base`.
+To create a new environment (say, by the name `py312`) supporting a particular version of Python (say Python 3.8.x), use the following command:
 
 ```
-conda create --name py38 python=3.8
+conda create --name py312 python=3.12
 ```
 
 Once the creation is complete, you can activate the environment by:
 
 ```
-conda activate py38
+conda activate py312
 ```
 
 To remove the created environment, use the following command:
 
 ```
-conda env remove --name py38
+conda env remove --name py312
 ```
 
 ## Managing Anaconda Packages

modules/m01-getting-started/m01t02-the-python-interpreter.md

@@ -11,7 +11,7 @@ Access the Python interpreter in the *interactive mode* by running `python` in t
 A welcome message containing the version, current date and time, and a line of default commands will be displayed, followd by a *primary prompt* (`>>>`) in the final line as below:
 
 ```bash
-Python 3.8.12 (default, Oct 12 2021, 03:01:40) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
+Python 3.12.4 | packaged by Anaconda, Inc. | (main, Jun 18 2024, 15:03:56) [MSC v.1929 64 bit (AMD64)] on win32
 Type "help", "copyright", "credits" or "license" for more information.
 >>>
 ```

modules/m01-getting-started/m01t04-jupyter-notebooks.md

@@ -1,10 +1,46 @@
-# M01T04 - The Jupyter Notebook
+# M01T04 - The Jupyter Notebook and JupyterLab
 
 ![Conda](https://img.shields.io/conda/vn/conda-forge/jupyter?label=version&style=for-the-badge)
 ![Conda](https://img.shields.io/conda/dn/conda-forge/jupyter?style=for-the-badge)
 
 > A journey to the largest pynet (*planet*)!
 
+[`Project Jupyter`](https://jupyter.org/) provides a great way to work with different languages, be it to perform quick calculations or run extensive models.
+The classic `Jupyter Notebook` is a lighweight web-based application to create presentable views or document computational workflows. 
+It's modern interface is known as the `JupyterLab`, which is a modular, feature-rich web-based interactive development environment suitable for a variety of workflows.
+Both of them provide a handful of tools to work with Python-based scripts.
+
+## Installing the Jupyter Notebook and JupyterLab
+
+Jupyter Notebook and JupyterLab already come bundled inside the base environment when `Anaconda` is installed.
+One can also install them in any environment (say, the `py312` environment) with the following command:
+
+```bash
+conda install -n py312 notebook jupyterlab
+```
+
+## Multi-environment Execution
+
+It is [advisable](https://towardsdatascience.com/how-to-set-up-anaconda-and-jupyter-notebook-the-right-way-de3b7623ea4a) to install the notebook applications in the `base` environment and access the kernels of other environments through it without explicitly installing it in the other environments.
+To do this, one needs to install [nb_conda_kernels](https://github.com/Anaconda-Platform/nb_conda_kernels) in the `base` environment (or the specific environment using which the notebook servers will be run) using:
+
+```bash
+conda install -n base nb_conda_kernels
+```
+
+Then, in any other environment (say, the `py312` environment), one can just install the IPython kernel by exectuing:
+
+```bash
+conda activate py312
+conda install ipykernel
+```
+
+Additionally, the interactive IPython widgets (more about it later) can be installed in this environment using:
+
+```bash
+conda install ipywidgets
+```
+
 [← \[Previous\] M01T03 - The Spyder IDE](./m01t03-the-spyder-ide.md)
 
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