Data science and Big Data with Python

Example Kubernetes app that shows how to build a 'pipeline' to stream data into BigQuery. Uses Redis or Google Cloud PubSub

Python and Pandas are known to have issues around scalability and efficiency. You will learn how to use libraries such as Modin, Dask, Ray, Vaex etc to overcome the problems faced by Pandas.

Frank Kane's Taming Big Data with Apache Spark and Python, published by Packt

A Python framework for data processing on GCP.

Big Data for Data Engineers Coursera Specialization from Yandex

Course on Udemy by Jose Portilla

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approa

This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-bigquery-datatransfer

My solution to Bioinformatics Specialization (Finding Hidden Messages in DNA; Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology)

Material de apoyo del libro BIG DATA CON PYTHON. Recolección, almacenamiento y procesamiento de datos, de Enrique Martín Martín, Adrián Riesco y Rafael Caballero, editado por RC libros

Efficient and scalable parallelism using the message passing interface (MPI) to handle big data and highly computational problems.

Final Project for IoT: Big Data Processing and Analytics class. Analyzing U.S nationwide temperature from IoT sensors in real-time

A High-Performance Data Science Toolkit for the Earth Sciences

Big Data Management and Analysis Final Project

Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using Data Visualizations to make wiser decisions which could land the Business to make bigger profits and understand the root cause and behavioral analysis of people and customers associated to it. In this Repository I have dee

What is Python? Executive Summary Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing compon

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Python DBAPI Driver and Sqlalchemy Dialect for Apache Kylin, the "Extreme OLAP Engine for Big Data"

Python tools for big data