Apache Spark for Data Science - Hands-On Introduction to Spark SQL
Spark SQL - From basics to Regular Expressions and User-Defined Functions (UDF) in 10 minutes - …
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Stop Hardcoding Values in Python Apps - Use ConfigParser Instead
Hardcoded values are a terrible idea. Use configparser to read .ini configuration files in …
Apache Spark for Data Science - Word Count With Spark and NLTK
Learn to count words of a book and address the common stop word issue - implemented in PySpark
Apache Spark for Data Science - How to Work with Spark RDDs
Spark is based on Resilient Distributed Datasets (RDD) - Make sure you know how to use them
Stop Hardcoding Values in Python Apps - Use YAML Configuration Files Instead
You should never hardcode Python app configuration data. YAML is an excellent alternative. …
Apache Spark for Data Science - How to Install and Get Started with PySpark
Want to learn Apache Spark for Data Science? This guide will help you get started. Learn how to …
Stop Hardcoding Values in Python Apps - Use JSON Configuration Files Instead
Still hardcoding values in Python apps? That’s a terrible idea. Learn how to use JSON …
Apache Airflow for Data Science - How to Work with Variables
Hardcoding values in your Airflow DAGs is a bad practice. Learn how to use Airflow variables …
Apache Airflow for Data Science - How to Download Files from Amazon S3
Learn how to download files from Amazon S3 (AWS) to your local machine with Apache Airflow and …
Apache Airflow for Data Science - How to Upload Files to Amazon S3
Learn how to setup an Amazon S3 (AWS) Bucket and how to upload files from local disk with …
Python List Print - 7 Different Ways to Print a List You Must Know
Did you know there’s more than one way to print a list in Python? Well, there is. We …
Apache Airflow for Data Science - How to Work with REST APIs
Learn to work with REST APIs in Apache Airflow by utilizing HttpSensor and HttpOperator Airflow …
Apache Airflow for Data Science - How to Communicate Between Tasks with Airflow XComs
Learn to send and receive data between Airflow tasks with XComs, and when you shouldn’t …
Apache Airflow for Data Science - How to Run Tasks in Parallel
Build a Data Pipeline (DAG) in Apache Airflow that makes four GET API requests in Parallel.
Apache Airflow for Data Science - How to Migrate Airflow Metadata DB to Postgres and Enable Parallel Execution
Apache Airflow doesn’t run tasks in parallel by default - but there’s an easy fix. …
Data Science for Cycling - How to Visualize Gradient Ranges of a GPX Route
Part 5/6 - Learn to visualize gradient ranges of a route. By doing so, you’ll know how …
Apache Airflow for Data Science - How to Work With Databases (Postgres)
Learn how to extract, transform, and load data with Airflow and Postgres database by coding a …
Apache Airflow for Data Science - How to Write Your First DAG in 10 Minutes
Apache Airflow is a common tool used by Data Engineers. Learn how to write your first data …
Stop Using Python to Aggregate Data - Use SQL Instead
Are you using Python to extract raw data from the database? It could be a huge bottleneck in …
Apache Airflow for Data Science - How to Install Airflow Locally
Want to learn Apache Airflow as a Data Engineer? Start by installing it locally. Go from zero …
Google Colab vs. RTX3060Ti - Is a Dedicated GPU Better for Deep Learning?
NVIDIA RTX3060Ti dedicated GPU vs. a completely free environment - Which is better for …
