What is this book about? Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user ...

The audience consists of developers, data scientists, and researchers who are proficient in Python and are interested in quantum computing. Readers may have a background in general software ...

Learn the first steps within Python to highly specialized concepts Explore examples and code snippets taken from typical programming situations within scientific computing. Delve into essential ...

Fortunately, the NumPy and SciPy modules are a popular and effective way to greatly improve the performance of Python for numerical computing. This course aims to introduce the basic features of the ...

This advanced course covers techniques and a selection of Python packages that allow parallel computing. Specifically, this course focuses on: The “threading” package The “multiprocessing” package MPI ...

Bodo.ai, an open source start-up focused on transformative Python, has released its high performance computing engine for ...

Explore the top 6 AI programming languages in 2025, their features, and why they're essential for developers looking to excel ...

Dask: Navigate the terrains of big data and parallel computing with Dask, the sorcerer of scalability. Python-dotenv reads key-value pairs from a .env file and can set them as environment variables.

In-memory computing has been in development for a while; however, software has yet to be released or compatible with this computing architecture. Techxplore reports that Technion researchers have ...

Bodo.ai, an open source start-up dedicated to transformative Python, has released its high performance computing (HPC) engine for Python under the Apache License. The need to process ever-larger ...