
SciPy
Anaconda
Apache Spark
Dask
erwin Data Modeler
Hadoop
Apache Cassandra
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

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

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What each product offers, as listed by its team.


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Walkthroughs and reviews on video.
Data Wrangling with PySpark for Data Scientists Who Know Pandas - Andrew Ray
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The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
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As answered by people managing PySpark and Diffyn.
Diffyn's answer:
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
Diffyn's answer:
React, Next.js, POSTGRESQL
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
Diffyn's answer:
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
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Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
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