PYTHON-ML IN DISTRIBUTED ENVIROMENT

DISTRIBUTED

https://colab.research.google.com/

Introduction to PySpark -  course

https://www.tutorialspoint.com/apache_spark/apache_spark_introduction.htm
Apache Spark – 1. rész: PySpark és Jupyter – Kocka hős

Spark bevezető – Gulyás Máté, Enbrite.ly PDF

Apache Spark with its Python API.

BIG DATA Apache Spark

Big Data játszótér - hogy próbáljuk ki? - Adatlabor

https://spark.apache.org/docs/latest/rdd-programming-guide.html

PySpark Cheatsheet | Qubole

PySpark Tutorial-Learn to use Apache Spark with Python - Dezyre

Introducing Pandas UDFs for PySpark | Two Sigma

CASSANDRA
Running PySpark with Cassandra in Jupyter

Apache Cassandra - Full Stack Python

Gyors útmutató: Cassandra API a Pythonnal – Azure Cosmos DB ...

https://docs.microsoft.com/hu-hu/azure/cosmos-db/create-cassandra-python

2017. nov. 15. - Gyors útmutató: Cassandra alkalmazás felépítése a Python és az Azure ... Csatlakozzon az Azure Cosmos DB Cassandra API előzetes


RIAK
Spark-riak-connector from the repository comes without pyspark support. But you can...

[PDF]Python, PySpark and Riak TS

TUTORIAL - Riak TS - Databricks

How to use Spark Riak connector with pyspark? - Stack Overflow

Tutorial — Riak Python Client 1.5.2 documentation

Riak Python Client - Read the Docs

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Spark

PySpark 

Predicting Loan Credit Risk using Apache Spark Machine Learning

Intro to PySpark - DataCamp

Spark-to-Tableau

Riakts - Databricks - Azure Databricks documentation
Python, PySpark and Riak TS - Meetup
System Properties Comparison Riak TS vs. Spark SQLSpark-riak-connector - Spark Packages

MLlib

Machine Learning with PySpark and MLlib — Solving a Binary ...

Predicting Loan Credit Risk using Apache Spark Machine Learning

Spark Decision Tree Classifier

Estimating Financial Risk with Apache Spark - Cloudera Engineering

Estimating Financial Risk with Apache Spark - SlideShare

Realtime Risk Management Using Kafka, Python, and Spark Streaming

Improving Python and Spark (PySpark) Performance and Interoperability

Spark & Python: MLlib Logistic Regression | Codementor

Spark MLLib — Computational Statistics in Python - Duke

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AZURE

- Machine learning például a hdinsight - Azure Spark MLlib | Microsoft

- Tutorial: Build a Spark machine learning application in HDInsight ..

- Overview of Data Science using Spark on Azure HDInsight | Microsoft ...

- azure-docs/apache-spark-machine-learning-mllib-ipython.md at ..
- MLlib and Machine Learning - Azure Databricks

- Tutorial: Build a Spark machine learning application in HDInsight 
- Overview of Data Science using Spark on Azure HDInsight
- Azok a Spark-beépített machine learning modellek | Microsoft Docs

- PySpark és Scala használatával az Azure HDInsight Spark 

- Apache Spark for Azure HDInsight | Microsoft Azure

- A Visual Studio Code PySpark interaktív környezet beállítása az Azure

- Prim hírek - Azure-ra optimalizált Apache Spark, új mesterséges

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HADOOP

Are there any distributed machine learning libraries for using Python with Hadoop?

hadoop - How to convert a Hive table into a MLlib LabeledPoint

MLlib | Apache Spark

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MONGO

Python NoSQL Databases

Introduction to MongoDB and Python – Real Python

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PYTHON-ML

J.P.Morgan's massive guide to machine learning and big data jobs in ...

Py: KERAS, XGBOOST, gym (RNN), statmodels (stat, ecometrics), MXnet(deeplearning)

A Complete Tutorial to Learn Data Science with Python from Scratch:

Statsmodels for statistical modeling. Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests. An extensive list of descriptive statistics, statistical tests, plotting functions, and result statistics are available for different types of data and each estimator.

Seaborn for statistical data visualization. Seaborn is a library for making attractive and informative statistical graphics in Python. It is based on matplotlib. Seaborn aims to make visualization a central part of exploring and understanding data.

Bokeh for creating interactive plots, dashboards and data applications on modern web-browsers. It empowers the user to generate elegant and concise graphics in the style of D3.js. Moreover, it has the capability of high-performance interactivity over very large or streaming datasets.

Blaze for extending the capability of Numpy and Pandas to distributed and streaming datasets. It can be used to access data from a multitude of sources including Bcolz, MongoDB, SQLAlchemy, Apache Spark, PyTables, etc. Together with Bokeh, Blaze can act as a very powerful tool for creating effective visualizations and dashboards on huge chunks of data.

Scrapy for web crawling. It is a very useful framework for getting specific patterns of data. It has the capability to start at a website home url and then dig through web-pages within the website to gather information.

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CAPSTONE PROJECT- BIG MART SALES PREDICTION - Amazon AWS

Machine Learning for Trading | Udacity - FREE Course

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DEEP LEARNING

How is deep learning used in finance? - Quora

Deep Learning for Finance: Deep Portfolios by J.B. Heaton, Nick

Deep Learning in Finance – Towards Data Science

https://www.coursera.org/specializations/machine-learning-reinforcement-finance

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KERAS

XGBOOST

STATMODELS

Blaze

Seaborn

Bokeh

Yellowbrick

Yellowbrick – A set of Visualization Tools to Accelerate your Model Selection Process

SAS

Introducing SASPy: Use Python code to access SAS - The SAS Dummy

https://blogs.sas.com/content/sasdummy/2017/.../python-to-sas-saspy/

How to code in Python with SAS 9.4 - SAS Users - SAS Blogs

Python | SAS

https://developer.sas.com/guides/python.html

A Basic Introduction to SASPy and Jupyter Notebooks

Emerging Ecosystem: Data Science and Machine Learning Software ...

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Oracle NoSQL Database Python Driver Quick Start - Oracle Help Center

https://docs.oracle.com/cd/E66087...python/.../python.../index.html

Oldal lefordítása

2015. máj. 18. - This article provides a quick introduction to the Oracle NoSQL Database Python driver. This driver provides Python client access to data stored ...

Getting Started with the Oracle NoSQL Database Python Driver

https://docs.oracle.com/cd/NOSQL/html/driver...python/.../index.html

Oldal lefordítása

2017. júl. 25. - Getting Started with the Oracle NoSQL Database Python Driver. Next ... 3. Introducing Oracle NoSQL Database Tables and Indexes.

Chapter 1. Developing for Oracle NoSQL Database

https://docs.oracle.com/cd/NOSQL/html/driver...python/.../kvapi.html

Oldal lefordítása

You access the data in the Oracle NoSQL Database KVStore using Python drivers that are provided for the product. In addition to the Python drivers, several ...

Oracle NoSQL Database API

www.oracle.com › Database › Database A - Z › NoSQL Database

Oldal lefordítása

The python client module nosqldb.py to access Oracle NoSQL Database stores is required. The module can be downloaded from Python Software Foundation.

[PDF]Python Driver Getting Start Guide - Oracle Help Center

https://docs.oracle.com/.../database/...databases/nosql-database/.../pyth...

Oldal lefordítása

Oracle NoSQL Database Python Driver Getting Start Guide , Release 12.2.4.5 .... You access the data in the Oracle NoSQL Database KVStore using Python ...

Chapter 1. Introduction to Oracle NoSQL Database

https://docs.oracle.com/database/nosql-12.2.4.4/.../introduction.html

Oldal lefordítása

Oracle NoSQL Database provides multi-terabyte distributed key/value pair storage that offers scalable throughput ... C, Node.js and Python drivers are available.

java - Oracle NoSQL Database - Developing with it - Stack Overflow

https://stackoverflow.com/.../oracle-nosql-database-developing-with-it

Oldal lefordítása

2 válasz

2012. aug. 14. - If it's about NoSQL without Java and you have the choice, something like MongoDB ... Oracle NoSQL does has drivers for python, javascript.

nosqldb · PyPI

https://pypi.org/project/nosqldb/

Oldal lefordítása

nosqldb 18.1.1. pip install nosqldb. Copy PIP instructions. Latest version. Last released: Apr 25, 2018. A Python driver for Oracle NoSQL Database ...

MySQL vs. Oracle NoSQL Comparison - DB-Engines

https://db-engines.com/en/system/MySQL%3BOracle+NoSQL

Oldal lefordítása

Detailed side-by-side view of MySQL and Oracle NoSQL. ... Python Ruby Scheme Tcl, C C# C++. Java JavaScript (Node.js) Python Ruby Scala. Server-side ...

New Features of Oracle NoSQL | Julian Dontcheff's Database Blog

https://juliandontcheff.wordpress.com/.../new-features-of-oracle-nosql...

Oldal lefordítása

2015. júl. 4. - Lat month (June 2015), Oracle announced Oracle NoSQL Database ... and Python, and integration with Oracle Database Mobile Server.

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park-riak-connector from the repository comes without pyspark support. But you can build it

accepted

down votespark-riak-connector from the repository comes without pyspark support. But you can build it yourself and attach to pyspark: