PinnedDavid AlleninTowards Data ScienceFantasy Premier League Value Analysis Python Tutorial Using the FPL APIDocumentation for building a Pandas Dataframe from the FPL API, and running a value analysis on 19/20 season·10 min read·Jun 15, 2020--15--15

David AllenHow to Apply a Function with Two (or more) Arguments in a Pandas DataFrame·4 min read·Aug 15, 2023----

David Allen14 Excel-like Functions in Python, Pandas, and Jupyter NotebookA comprehensive list of tutorials in Python, Pandas, and Jupyter Notebook, explaining how to use 14 of your favorite Excel-like functions·8 min read·Apr 18, 2022----

David AllenHow to Make a Histogram with Pandas in a Python-powered Jupyter NotebookDocumentation for creating a Histogram with Python, Pandas and Jupyter notebook.·8 min read·Apr 15, 2022----

David AllenHow to write an IF Statement with Pandas, Python and Jupyter NotebookDocumentation for writing an IF Statement in a Jupyter notebook with Pandas and Python·13 min read·Apr 14, 2022----

David AllenHow to Find and Replace with Python and PandasDocumentation for finding and replacing strings and multiple strings at once with Python and Pandas in a Jupyter notebook·6 min read·Apr 13, 2022----

David AllenHow to use SUM, COUNT, AVERAGE, MAX and MIN with Pandas and Python in a Jupyter NotebookDocumentation for several common Excel functions — SUM, COUNT, AVERAGE, MAX, and MIN — with Pandas, Python and Jupyter Notebook·8 min read·Apr 8, 2022----

David AllenHow to split text to columns with Pandas and Python in a Jupyter NotebookDocumentation for splitting a text column into two columns in a Pandas DataFrame, with Python and Jupyter Notebook·4 min read·Mar 17, 2022----

David AllenHow to read CSV data from a URL into a Pandas DataFrameDocumentation for importing data from a raw CSV with Pandas, Python and Jupyter notebook·3 min read·Mar 17, 2022----

David AllenHow to use Python’s equivalent of Excel’s CONCATENATE FunctionDocumentation for concatenating two or more string columns, using Python, Pandas, and Jupyter notebook·3 min read·Mar 17, 2022----