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PySpark VS PyXLL

Compare PySpark VS PyXLL and see what are their differences

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PySpark logo PySpark

PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor

PyXLL logo PyXLL

PyXLL is an Excel Add-In that enables developers to extend Excel’s capabilities with Python code.
  • PySpark Landing page
    Landing page //
    2023-08-27
  • PyXLL Landing page
    Landing page //
    2023-06-14

PySpark videos

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Data Wrangling with PySpark for Data Scientists Who Know Pandas - Andrew Ray

More videos:

  • Tutorial - Pyspark Tutorial | Introduction to Apache Spark with Python | PySpark Training | Edureka

PyXLL videos

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PyXLL Introduction

Category Popularity

0-100% (relative to PySpark and PyXLL)

PySpark

PyXLL

No Code
49 49%
No Code
51% 51
Project Management
49 49%
Project Management
51% 51
Work Collaboration
51 51%
Work Collaboration
49% 49
Data Science Tools
100 100%
Data Science Tools
0% 0

User comments

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What are some alternatives?

When comparing PySpark and PyXLL, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa

NumPy - NumPy is the fundamental package for scientific computing with Python

Anaconda - Anaconda is the leading open data science platform powered by Python.

Smartsheet - Smartsheet is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies.

SciPy - SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 

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