Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and data ...

Visualize and interpret climate anomalies using statistical analysis. Use APIs to import climate data from government portals. Visualize data in Python with matplotlib. In this module, we'll start ...

I've always liked the idea of math, but doing it by hand has been another matter. My mental CPU seems to go to 100% during hand calculation. Hand calculators are good but Python libraries are even ...

Testing applications is a maturing discipline with tools that help quality assurance teams develop and automate functional tests, run load and performance tests, perform static code analysis, wrap ...