Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

Microsoft has launched a new 44-part series called Python for Beginners on YouTube, consisting of three- to four-minute lessons from two self-described geeks at Microsoft who love programming and ...

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop builds on the ...

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Despite taking several years to become fully popularised, Python continues to dominate the programming sphere thanks to its clean and relatable syntax, readability, and ease of learning for ...

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

From bare-bones to full-blown, learn which edition of Python is best for your machine learning projects ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

From Python and Java to C++, R and Lisp, these languages offer powerful capabilities for working with machine learning algorithms to build AI apps.

Python robot programming methods: hybrid automata (behavior state machine) So far we’ve described two behaviors—go-to-goal and avoid-obstacles—in isolation.