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World's on Fire

World's on Fire

The rainforest is on fire. Here are things you can do about it.
Matthew Alhonte's Avatar
Matthew Alhonte matt
Aug 22, 2019
Building Java Projects with Gradle

Building Java Projects with Gradle

Simply your Java projects by automating dependency resolution, testing, and more with Gradle.
Todd Birchard's Avatar
Todd Birchard todd
Aug 13, 2019 • 9 mins
Java
Using Amazon Redshift as your Data Warehouse

Using Amazon Redshift as your Data Warehouse

Get the most out of Redshift by performance tuning your cluster and learning how to query your data optimally.
Todd Birchard's Avatar
Todd Birchard todd
Jul 29, 2019 • 12 mins
Data Warehouses
SQLAlchemy Data Models In a Laboratory

Relationships Between SQLAlchemy Data Models

Create database table models & relationships with SQLAlchemy's ORM. Create one-to-one, one-to-many, many-to-one, and many-to-many relationships.
Todd Birchard's Avatar
Todd Birchard todd
Jul 11, 2019 • 11 mins
SQLAlchemy
Join and Aggregate PySpark DataFrames

Join and Aggregate PySpark DataFrames

Perform SQL-like joins and aggregations on your PySpark DataFrames.
Todd Birchard's Avatar
Todd Birchard todd
Jun 24, 2019 • 7 mins
Spark
Google Cloud Storage Bucket Serving Content Content via CDN

Manage Files in Google Cloud Storage With Python

Manage files programmatically in your Google Cloud Storage bucket using the `google-cloud-storage` Python library.
Todd Birchard's Avatar
Todd Birchard todd
Jun 18, 2019 • 8 mins
Google Cloud
Working with PySpark RDDs

Working with PySpark RDDs

Working with Spark's original data structure API: Resilient Distributed Datasets.
Todd Birchard's Avatar
Todd Birchard todd
Jun 6, 2019 • 8 mins
Spark
PowerPivot 3: Managing the Data Model

PowerPivot 3: Managing the Data Model

Analyzing ginormous files with Microsoft PowerPivot.
Max Mileaf's Avatar
Max Mileaf snacks
Jun 6, 2019 • 5 mins
Powerpivot
Abstract depiction of an Apache Airflow pipeline

Manage Data Pipelines with Apache Airflow

Use Apache Airflow to create standardized and easily reproducible data pipelines in Python.
Todd Birchard's Avatar
Todd Birchard todd
Jun 3, 2019 • 13 mins
Apache
Recasting Low-Cardinality Columns as Categoricals

Recasting Low-Cardinality Columns as Categoricals

Downcast strings in Pandas to their proper data-types using HDF5.
Matthew Alhonte's Avatar
Matthew Alhonte matt
Jun 3, 2019 • 3 mins
Code Snippet Corner
Page 4 of 18
Hackers and Slackers

Community of hackers obsessed with data science, data engineering, and analysis. Openly pushing a pro-robot agenda.

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Python Software DevOps Architecture Data Engineering Pandas Excel Data Analysis REST APIs Data Science SQL Flask Code Snippet Corner JavaScript AWS NodeJS Google Cloud Frontend MySQL Apache Data Vis BI NoSQL Spark GraphQL ExpressJS PostgreSQL ETL Pipelines Tableau Machine Learning Big Data Powerpivot PowerBI Atlassian GatsbyJS Automation SQLAlchemy Data Warehouses Mapbox Plotly Golang JAMStack Scraping Django Concurrency ReactJS SaaS Products Hashicorp Docker Terraform Frameworks FastAPI Java Microsoft

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Series'

Data Analysis with Pandas 11
Build Flask Apps 11
Learning Apache Spark 6
Google Cloud Architecture 6
Mastering SQLAlchemy 4
GraphQL Tutorials 4
Welcome to SQL 4
Working with MySQL 4
Mapping Data with Mapbox 3
Web Scraping With Python 2
Python Concurrency with Asyncio 2
Getting Started with Django 2

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Hackers and Slackers

Community of hackers obsessed with data science, data engineering, and analysis. Openly pushing a pro-robot agenda.

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Authors

  • Todd Birchard
  • Matthew Alhonte
  • Max Mileaf
  • Ryan Rosado
  • Graham Beckley
  • David Aquino
  • Paul Armstrong
  • Dylan Castillo

Series'

  • Data Analysis with Pandas
  • Build Flask Apps
  • Learning Apache Spark
  • Google Cloud Architecture
  • Mastering SQLAlchemy
  • GraphQL Tutorials
  • Welcome to SQL
  • Working with MySQL
  • Mapping Data with Mapbox
  • Web Scraping With Python
  • Python Concurrency with Asyncio
  • Getting Started with Django
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