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How to Merge DataFrames in Pandas Examples on how to combine DataFrames in Pandas using the merge, join, append, concat, combine_first, and update functions. RUSLAN HASANOV

Why is Nobody Talking about Pandas NamedAgg? The as keyword from SQL is a wonderful one. You can create a complex function on a database column, and then give it an explicit name. This name can be used later in the pipeline as a reference. pandas, even though superior to SQL in most ways, really lacked this until fairly recently. Not anymore… DEAN LANGSAM...

Ten Reasons to Use StaticFrame Instead of Pandas For those coming from pandas, StaticFrame offers a more consistent interface and reduces opportunities for error. This article demonstrates ten reasons you might use StaticFrame instead of Pandas. CHRISTOPHER ARIZA • Shared by Christopher Ariza

What Is the Purpose of Floating Point Index in Pandas? Considering issues like floating-point representation error, is it ever a good idea to use a float as an index? STACK OVERFLOW

Renaming Months From Number to Name in Pandas In a DataFrame indexed by month and day, how do you change the month index from numbers, like 1, to a name, like Jan? STACK OVERFLOW

Faster Machine Learning on Larger Graphs: How NumPy and Pandas Slashed Memory and Time in StellarGraph This week, StellarGraph released a new version of its open source library for machine learning on graphs. One of the most exciting features of StellarGraph 1.0 is a new graph data structure — built using NumPy and Pandas — that results in significantly lower memory usage and faster...

Create a Correlation Matrix in Python With NumPy and Pandas In this tutorial, you’ll learn how to create a correlation matrix in Python with NumPy and Pandas. Plus upper & lower triangular (tables). ERIK MARSJA

Top 10 Python Packages for Machine Learning The field of data science is rapidly growing and relies heavily on Machine Learning; with hundreds of ML libraries, Python has become the language of choice for most engineers. Check out ActiveState’s list of the top 10 ML packages to learn → ACTIVESTATE sponsor

How to use Pandas get_dummies to Create Dummy Variables in Python Dummy variables (or binary/indicator variables) are often used in statistical analyses as well as in more simple descriptive statistics. ERIK MARSJA

How to Use Pandas to Access Databases Tips and best practices for exploring SQL databases with Pandas and SQLAlchemy. IRINA TRUONG

How to Read Stata Files in Python With Pandas Learn how to read Stata (.dta) files in Python and how to write a Stata file to CSV and Excel files. ERIK MARSJA