NumPy, SciPy, and Matplotlib Recipes

Install Python on Windows by downloading the appropriate Python interpreter from python.org, choosing between Python 3 and Python 2, and verifying the installation.

Verify that Python 3 and utilities are added to the environment variables, open the command prompt, and check the Python path and version with python -V.

Raspberry Pi exemplifies a single board computer, credit-card sized with non-upgradable components, offering low cost and compact design that boosted modern single-board computing and IoT.

Install Raspberry Pi OS on a Raspberry Pi 4 using the Raspberry Pi Imager, then enable headless, wifi-based remote access, and set up remote desktop with xrdp.

Enable vnc on the Raspberry Pi to access its graphical desktop remotely, install the vnc viewer, configure the resolution, and connect from Windows for full gui control.

Install idle3 on a raspberry pi running raspbian by updating apt repositories and installing idle3. Verify installation by checking the exit status and launching python3 to access the idle3 prompt.

Learn to use Python 3 on Raspberry Pi, verify interpreters, navigate preinstalled IDEs, and run a simple hello world program to execute Python scripts.

Connect to a Raspberry Pi remotely using PuTTY, VCP, and mobile system for terminal and file transfer. Log in with the IP address and enable X11 forwarding for graphical access.

Turn a Raspberry Pi 4 into a portable touchscreen tablet by assembling SunFounder components, attaching the display, fan, and GPIO ribbon, then boot from the micro SD card.

Learn to write and run a simple hello world Python 3 program on Windows, using the interpreter and command prompt to execute and view output.

Learn to write and run a Python hello world on a Raspberry Pi, execute via Python 3 or shell, and set executable permissions with chmod and a shebang.

Compare interpreter mode and scripting mode in Python 3, showing when to prototype with interactive sessions and when to save scripts for automated, large-scale data work.

Learn how to launch IDLE on the Raspberry Pi, create and save Python programs, and navigate the file, edit, and help menus, plus the Python docs.

Compare Raspberry Pi 3 Model B Plus with MacBook Pro and a custom-built PC to evaluate budget, resources, and practical use cases.

Explore the Python package index, a repository of third-party libraries that embraces the batteries included philosophy; browse, download, and install packages, and even contribute your own library.

Learn to use pip on Windows to manage Python packages, including running in admin mode for installations. Upgrade pip, list installed packages, search for numpy, and install or uninstall libraries.

Upgrade pip3 on Raspberry Pi, verify the version, list installed packages, search the Python Package Index, and install or uninstall packages using sudo when necessary.

Install numpy and matplotlib on Windows via an admin command prompt using pip, then verify with the Python interpreter by importing numpy as np and matplotlib to confirm no errors.

Install NumPy and Matplotlib on a Raspberry Pi, upgrade NumPy with pip3, verify by importing NumPy and Matplotlib in Python, and ensure a working scientific computing setup on Raspberry Pi.

Explore IPython’s interactive computing and the web-based notebook for executing code and visualizing results, and see how Jupyter adds multi-language support and easy notebook sharing.

Install Jupyter on Windows using an admin command prompt and download the notebook. Launch a Python 3 notebook to run hello world and save the file.

Install jupyter and required dependencies on Raspberry Pi, resolving package compatibility. Launch the jupyter notebook server and verify installation by opening Chromium.

Download the 64-bit PuTTY installer from putty.org, run the setup with admin privileges, and add PuTTY to the path environment variable if needed.

Connect to a remote jupiter notebook running on a raspberry pi, launch the server in headless mode, and access it securely from Windows using a login token.

Launch and connect to a Jupyter notebook server on Raspberry Pi or Windows, create and run Python notebooks, and use code cells and Markdown for rapid prototyping.

Explore ndarrays in NumPy by creating, indexing, and slicing one-, two-, and three-dimensional arrays, using colon-based slicing to access rows, columns, and planes.

Explore ndarray properties in NumPy, including shape, number of dimensions, data type, size, and bytes, and learn how to compute the transpose of a 3D array.

Explore the numpy constants, including NaN, infinity, and positive and negative zero, along with mathematical constants such as e, gamma, and pi, by running code that prints their values.

Create numpy arrays of ones, zeros, and diagonals, including identity matrices, and shape multidimensional arrays by shifting diagonals with k.

Learn routines to create upper and lower triangular matrices filled with ones, and see how adjusting k shifts the diagonal.

Matplotlib provides a Matlab-style interface for Python, enabling simple to 3D visualizations in the scientific Python ecosystem; 10 to 15 lines of code, and works with IPython and Jupyter notebooks.

Explore visualizing numerical ranges using linspace, logspace, and geometric space, and learn to plot x versus y with titles and axis options in a notebook workflow.

Explore generating random numbers with NumPy: create 1D arrays of random integers, build 2D and higher‑dimensional arrays, and apply random matrices or noise for scientific tasks.