NumPy tutorials

The “NumPy tutorials” document source provides comprehensive tutorials and guides on utilizing NumPy, a fundamental library for numerical computing in Python. It covers topics such as array manipulation, mathematical operations, data analysis, and more. The tutorials aim to enhance users’ understanding of NumPy functionalities, enabling them to efficiently work with large datasets, perform complex calculations, and implement various data processing tasks. By following the tutorials outlined in the document source, individuals can enhance their Python programming skills and leverage NumPy’s capabilities for scientific computing, data analysis, and machine learning applications.

NumPy tutorials

Deep learning on MNIST This tutorial demonstrates how to build a simple feedforward neural network (with one hidden layer) and train it from scratch with NumPy to recognize handwritten digit images. Y...

NumPy tutorials

Determining Moore’s Law with real data in NumPy The number of transistors reported per a given chip plotted on a log scale in the y axis with the date of introduction on the linear scale x-axis. The b...

NumPy tutorials

Deep reinforcement learning with Pong from pixels This tutorial demonstrates how to implement a deep reinforcement learning (RL) agent from scratch using a policy gradient method that learns to play t...

NumPy tutorials

Sentiment Analysis on notable speeches of the last decade This tutorial demonstrates how to build a simple Long Short Term memory network (LSTM) from scratch in NumPy to perform sentiment analysis on ...

NumPy tutorials

X-ray image processing This tutorial demonstrates how to read and process X-ray images with NumPy, imageio, Matplotlib and SciPy. You will learn how to load medical images, focus on certain parts, and...

NumPy tutorials

Plotting Fractals Fractals are beautiful, compelling mathematical forms that can be oftentimes created from a relatively simple set of instructions. In nature they can be found in various places, such...

NumPy tutorials

Analyzing the impact of the lockdown on air quality in Delhi, India What you’ll do Calculate Air Quality Indices (AQI) and perform paired Student’s t-test on them. What you’ll learn You’ll learn the c...

NumPy tutorials

Determining Static Equilibrium in NumPy When analyzing physical structures, it is crucial to understand the mechanics keeping them stable. Applied forces on a floor, a beam, or any other structure, cr...

NumPy tutorials

Pairing Jupyter notebooks and MyST-NB What you’ll do This guide will keep a Jupyter notebook synced or paired between .ipynb and .md . What you’ll learn The difference between Jupyter’s json format an...

NumPy tutorials

Learn to write a NumPy tutorial Image credit: Daniele Procida's Diátaxis framework , licensed under CC-BY-SA 4.0 . What you’ll do Guided by a template, you’ll write a NumPy tutorial. What you’ll learn...

Saving and sharing your NumPy arrays

NumPy tutorials

Saving and sharing your NumPy arrays What you’ll learn You’ll save your NumPy arrays as zipped files and human-readable comma-delimited files i.e. *.csv. You will also learn to load both of these file...

Masked Arrays

NumPy tutorials

Masked Arrays What you’ll do Use the masked arrays module from NumPy to analyze COVID-19 data and deal with missing values. What you’ll learn You’ll understand what are masked arrays and how they can ...