Python is an ‘equalizer’ which can help every part of a data operation to work together. Python is now the most popular language for data science, used by 15.7 million developers globally.

Excel-maker Microsoft and Anaconda, a key distributor of Python tools, unveiled a collaboration this week that will see Python integrated with Excel. The new Anaconda Python Distribution in Excel, ...

Scenario analysis can help portfolio managers refine long-term strategies. Copy these code snippets to forecast investment performance.

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

DARPA (the U.S. Defense Advanced Research Projects Agency) has awarded $3 million to software provider Continuum Analytics to help fund the development of Python's data processing and ...

How to Use Python to Analyze SEO Data: A Reference Guide Python can help eliminate repetitive SEO tasks when no tools can help you. Here are some practical Python applications for SEO.

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is ...

Style analysis helps you interpret how funds are likely to behave. Copy and paste these code snippets to evaluate investments for style drift.

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

Data analysis and visualization: Pandas and Matplotlib Python’s dominance in data analysis is evident through libraries such as Pandas and Matplotlib.