To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

The Python interpreter provides you with an environment for experimentation and observation—the Python shell, where we work in interactive mode. It’s a great way to get your feet wet. Figure 1: The ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.