Following is what you need for this book: This book is aimed at new Python developers with little to no prior programming skills beyond basic computer literacy. The book doesn't require any previous ...

Integrate common Python data science libraries in a web backend; Deploy a performant and reliable web backend for a data science application; Who this book is for. This Python data science book is for ...

Win for Python. This is not a big issue in Data Science, but it does come up in some contexts. Classical computer science data structures, e.g. binary trees, are easy to implement in Python. This can ...

Python’s data science libraries make it an instant hit among data scientists. From Numpy, Scipy, StatsModels, and sci-kit-learn, Python continues to add data science libraries to its collection.

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

First released in 1991, Python has been liked and used by programmers all over the World. Python is considered to be one of the most versatile programming languages for building enterprise-level ...

The new Python Data Science pack, sporting 206 installs at the time of this writing, also comes with a data-centric component, so in total it bundles: Python + Pylance: Provides rich support for the ...

Building Data Science Applications with FastAPI is the go-to resource for creating efficient and dependable data science API backends. This second edition incorporates the latest Python and FastAPI ...