NumPy stands for Numerical Python; it emerged in the early 2000s as an open-source project initiated by Travis Olliphant. NumPy was designed to provide a powerful array object and a suite of functions for performing mathematical operations on these arrays. Its creation marked a significant leap forward in Python’s capabilities for scientific computing.
Here, we learn Numpy from the very beginning to advanced. So let’s start with a very first step. To work more efficiently with NumPy, we need to install Jupyter Notebook. VSCode is also fine, but Jupyter Notebook is even better.
Install Jupyter Notebook
To install Jupyter, you can use the following command in your terminal or command prompt:
pip install jupyter
Once installed, launch Jupyter by typing
jupyter notebook in your terminal. This will open a new tab in your web browser, allowing you to create and run notebooks with Python code.
Now, let’s start learning NumPy. Here is a link to all the basic to advanced topics, organized into a 7-day plan to help you effortlessly master the NumPy library: