Best of Pandas — September 2024

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   Article

   Machine Learning Mastery·2y

   Automating Data Cleaning Processes with Pandas

   Discover how to automate data cleaning processes using the Pandas library. Learn about typical data cleaning functions like filling missing values, removing duplicates, manipulating strings, and converting date formats. The post also introduces a custom class, DataCleaner, to encapsulate these steps into a reusable pipeline for an efficient and systematic approach to data cleaning.

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2. 2
   Article

   Daily Dose of Data Science | Avi Chawla | Substack·2y

   Accelerate Pandas 20x using FireDucks

   FireDucks is a highly optimized alternative to Pandas, boasting up to 20x performance improvements by leveraging multi-core CPU capabilities and lazy execution. With the same API as Pandas, FireDucks allows for seamless integration into existing Pandas pipelines by simply changing the import statement. The library is currently available for Linux x86_64, with versions for Windows and MacOS in development.

   34
3. 3
   Article

   Planet Python·2y

   Using Pandas to Read JSON from URL

   Learn how to use Pandas in Python to read JSON data directly from a URL into a DataFrame. This tutorial covers a basic example and explains the key parameters of the `pd.read_json()` method, enabling customization of the data reading process.

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