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@ -15,6 +15,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Built-in Classes Enhancement](#built-in-classes-enhancement)
- [Caching](#caching)
- [ChatOps Tools](#chatops-tools)
- [Cluster Computing](#cluster-computing)
- [CMS](#cms)
- [Code Analysis](#code-analysis)
- [Command-line Tools](#command-line-tools)
@ -56,7 +57,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Job Scheduler](#job-scheduler)
- [Logging](#logging)
- [Machine Learning](#machine-learning)
- [MapReduce](#mapreduce)
- [Miscellaneous](#miscellaneous)
- [Natural Language Processing](#natural-language-processing)
- [Network Virtualization](#network-virtualization)
@ -238,6 +238,17 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Errbot](http://errbot.io/en/latest/) - The easiest and most popular chatbot to implement ChatOps.
## Cluster Computing
*Frameworks and libraries for Cluster Computing.*
* [PySpark](https://pypi.python.org/pypi/pyspark/) - [Apache Spark](https://spark.apache.org/) Python API.
* [dask](https://dask.pydata.org/en/latest/) - A flexible parallel computing library for analytic computing.
* [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python.
* [luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs.
* [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services.
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/).
## Code Analysis
*Tools of static analysis, linters and code quality checkers. See: [awesome-static-analysis](https://github.com/mre/awesome-static-analysis).*
@ -780,16 +791,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).
* [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
## MapReduce
*Frameworks and libraries for MapReduce.*
* [PySpark](https://pypi.python.org/pypi/pyspark/) - Apache Spark Python API.
* [luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs.
* [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services.
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data. Integrates with [Apache Storm](http://storm.apache.org/).
* [dask](https://dask.pydata.org/en/latest/) - A flexible parallel computing library for analytic computing.
## Microsoft Windows
*Python programming on Microsoft Windows.*