Python is simple and has a sizable developer community that can assist you with data analysis using the tool. Because Python has so many innovative libraries available for data analysis and ...

Python allows free creation of plots, unlike expensive, stagnant graphing calculators. Import NumPy and Matplotlib for basic ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript ...

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 ...

Once your external data connection is established, Python integration in Excel allows you to elevate your analysis. Using the `xl` function, you can load connected data into a Pandas DataFrame ...

One of Python’s big use cases is for math and statistics—think engineering, data analysis, and machine learning. Of the Python distributions devoted to those use cases, Continuum Analytics’s ...

Learn how Python's dictionary data structure works as a powerful and versatile way to store and retrieve objects and data in your applications. Programming languages all come with a variety of ...

These tips should give technical users more flexibility to customize analysis and manipulate data their way. Looking for more ways to use Python for style analysis? The complete guide includes ...

Python and Power Query are both effective ... or conducting statistical analysis, Power Query ensures your data is structured and reliable.

The two worlds of Excel and Python are colliding thanks to Microsoft’s new integration to boost data analysis and visualizations. The two worlds of Excel and Python are colliding thanks to ...

Style analysis is the process of assessing investment ... here we’ll connect to the Morningstar_data Python package to fetch data and statsmodels Python package for regressions.