PinnedPublished inTowards 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 seasonJun 15, 202015Jun 15, 202015
14 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 functionsApr 18, 2022Apr 18, 2022
How to Make a Histogram with Pandas in a Python-powered Jupyter NotebookDocumentation for creating a Histogram with Python, Pandas and Jupyter notebook.Apr 15, 2022Apr 15, 2022
How to write an IF Statement with Pandas, Python and Jupyter NotebookDocumentation for writing an IF Statement in a Jupyter notebook with Pandas and PythonApr 14, 2022Apr 14, 2022
How 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 notebookApr 13, 2022Apr 13, 2022
How 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 NotebookApr 8, 2022Apr 8, 2022
How 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 NotebookMar 17, 2022Mar 17, 2022
How to read CSV data from a URL into a Pandas DataFrameDocumentation for importing data from a raw CSV with Pandas, Python and Jupyter notebookMar 17, 2022Mar 17, 2022
How to use Python’s equivalent of Excel’s CONCATENATE FunctionDocumentation for concatenating two or more string columns, using Python, Pandas, and Jupyter notebookMar 17, 2022Mar 17, 2022
