Python’s ecosystem of visualization libraries—Matplotlib, Seaborn, Plotly, Bokeh, and Dash—caters to different needs, from precise static charts to rich interactive dashboards. The right choice ...

Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights. Charts reduce the complexity of the data and make it easier to ...

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 the ...

Python is transforming how investors approach portfolio optimization, risk management, and asset allocation. With libraries like PyPortfolioOpt, pandas, and SciPy, you can model returns, minimize ...

Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results. Python has earned a name as a go-to ...

If you’re decent in Python (or aspire to be) but don’t have the chops for advanced data work in Excel, Microsoft now offers the kind of peanut butter-and-chocolate combination that you may consider a ...