docs (ai/numpy): Fix typo in dtype for numpy arrays & Updates Py version

subjects/ai/numpy/README.md

@@ -37,7 +37,7 @@ We suggest utilizing:
 - Choose a virtual environment that aligns with your familiarity. Common choices among Data Science practitioners are `virtualenv` and `conda`.
 - Install the most recent versions of the required libraries to ensure compatibility and access to the latest features
 
-1. Begin by creating a virtual environment named `ex00` that utilizes Python version `3.8`. Install the required libraries `numpy` and `jupyter`. Save the installed packages to a file named `requirements.txt`, located in the current directory.
+1. Begin by creating a virtual environment named `ex00` that utilizes Python version `>= 3.9`. Install the required libraries `numpy` and `jupyter`. Save the installed packages to a file named `requirements.txt`, located in the current directory.
 
 2. Launch a `jupyter` notebook or `JupyterLab` on port `8891`. Create a new notebook named `Notebook_ex00`.
 
@@ -52,7 +52,6 @@ We suggest utilizing:
 - [jupyter](https://jupyter.org/)
 - [numpy](https://numpy.org/)
 - [Jupyter Notebook Shortcuts](https://towardsdatascience.com/jypyter-notebook-shortcuts-bf0101a98330)
-- [Why You Should be Using Jupyter Notebooks](https://odsc.medium.com/why-you-should-be-using-jupyter-notebooks-ea2e568c59f2)
 
 ---
 
@@ -193,8 +192,8 @@ The goal of this exercise is to learn to access values of n-dimensional arrays e
 3. Using **broadcasting** create an output matrix based on the following two arrays:
 
    ```python
-   array_1 = np.array([1,2,3,4,5], dytpe=np.int8)
-   array_2 = np.array([1,2,3], dytpe=np.int8)
+   array_1 = np.array([1,2,3,4,5], dtype=np.int8)
+   array_2 = np.array([1,2,3], dtype=np.int8)
    ```
 
 Expected output: