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PyXLL VS PySpark

Compare PyXLL VS PySpark and see what are their differences

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PyXLL logo PyXLL

PyXLL is an Excel Add-In that enables developers to extend Excel’s capabilities with Python code.

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 Landing page
    Landing page //
    2023-06-14
  • PySpark Landing page
    Landing page //
    2023-08-27

PyXLL videos

+ Add

PyXLL Introduction

PySpark videos

+ Add

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

Category Popularity

0-100% (relative to PyXLL and PySpark)

PyXLL

PySpark

No Code
51 51%
No Code
49% 49
Project Management
51 51%
Project Management
49% 49
Work Collaboration
49 49%
Work Collaboration
51% 51
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0

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What are some alternatives?

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

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

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

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

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

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

Glide - Send lightning fast video messages, see responses live or whenever it's convenient. Get closer to the ones you love with video communication.

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