Use the Python Pandas groupby operation to group and aggregate data in a DataFrame. The Pandas groupby operation can group data by a single or multiple columns.
This tutorial describes how to use Python Regex Groups to capture a substring or submatch, and it describes how to refer to a group's substring inside a regex.
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This tutorial will teach you how to export a Pandas DataFrames to a Microsoft Excel spreadsheet using the to_excel and Pandas ExcelWriter functions.
Understanding Python Regex (concatenation, alternation, and repetition) and how to use the Python re module to match strings and byte sequences to a regular expression.
Learn how to make your own collations, or collate sequences, with the Python SQLite3 create_collation method. We will also describe the predefined collations.
Use Excel to record your mouse clicks and cursor movements and convert them directly into VBA macros so you can easily automate complex tasks, like copying data from a website.
Learn how to create your own scalar and aggregate functions and add them to a Python SQLite connection with the create_function and create_aggregate methods.
In this tutorial we will learn how to import data from a CSV file into a SQLite database using Python adapters, and how to write data from a SQLite database to a CSV file using Python converters.
This tutorial will explain all the methods the sqlite3 module provides for converting and adapting Python data types into SQLite types, and the other way around.
This tutorials describes how to read data from an Excel sheet and transfer the data to an SQLite database using the pandas, xlrd and sqlite3 Python libraries.
This tutorials describes the native SQLite data types, and explains the core features of the Python sqlite3 module, including how to add data to and read data from a SQL Database.
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