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About

PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.

About

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form.Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Application development solution for DevOps teams

Audience

Individuals searching for a data analysis solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

PySpark
spark.apache.org/docs/latest/api/python/

Company Information

pandas
Founded: 2008
pandas.pydata.org

Alternatives

Alternatives

ML.NET

ML.NET

Microsoft
Apache Spark

Apache Spark

Apache Software Foundation
Spark Streaming

Spark Streaming

Apache Software Foundation

Categories

Categories

Integrations

Amazon SageMaker Data Wrangler
Union Pandera
Activeeon ProActive
Apache Spark
ApertureDB
Cleanlab
Coiled
Comet LLM
DagsHub
Dagster
Feast
Flower
Flyte
Giskard
RunCode
Spyder
TeamStation
ThinkData Works
Yandex Data Proc

Integrations

Amazon SageMaker Data Wrangler
Union Pandera
Activeeon ProActive
Apache Spark
ApertureDB
Cleanlab
Coiled
Comet LLM
DagsHub
Dagster
Feast
Flower
Flyte
Giskard
RunCode
Spyder
TeamStation
ThinkData Works
Yandex Data Proc
Claim PySpark and update features and information
Claim PySpark and update features and information
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