Asynchronous HTTP Requests with asyncio, aiohttp, & aiofiles
Handle thousands of HTTP requests, disk writes, and other I/O-bound tasks simultaneously with Python's quintessential async libraries.
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Asynchronous HTTP Requests with asyncio, aiohttp, & aiofiles
Handle thousands of HTTP requests, disk writes, and other I/O-bound tasks simultaneously with Python's quintessential async libraries.

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Managing Multiple Versions of Python on Ubuntu 20.04
Easily install and manage multiple versions of Python on Ubuntu 20.04 or newer.
Implement an ORM with SQLAlchemy
Handle your application's data layer with SQLAlchemy's powerful ORM. Define data models, add/remove records, and execute queries purely in Python.
Create Cloud-hosted Charts with Plotly Chart Studio
Use Pandas and Plotly to create cloud-hosted data visualizations on-demand in Python.
Deploy Serverless Golang Functions with Netlify
Write and deploy Golang Lambda Functions to for your GatsbyJS site on Netlify.

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Scrape Structured Data with Python and Extruct
Supercharge your scraper to extract quality page metadata by parsing JSON-LD data via Python's extruct library.
Build it with Terraform
Provision Google Cloud infrastructure using Hashicorp Terraform. Spin up instances of CloudSQL, Redis, Kubernetes and more.
Deploy a Golang Web Application Behind Nginx
Deploy a self-hosted Go web application using Nginx as a reverse proxy.
4 Ways To Improve Your Plotly Graphs
Making high-quality data visualizations is a critical skills for Data Scientists. Learn how to get better at it using Plotly's Python library.
Create Your First Golang App
Install and set up Golang on your local environment to create your first "Hello world" app.

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Creating Interactive Views in Django
Create interactive user experiences by writing Django views to handle dynamic content, submitting forms, and interacting with data.
Deploy Flask Applications with uWSGI and Nginx
Host Python apps on your own server. Set up uWSGI to serve your app concurrently while handling incoming traffic with Nginx.
Cleaning PySpark DataFrames
Easy DataFrame cleaning techniques ranging from dropping rows to selecting important data.
Transforming PySpark DataFrames
Apply transformations to PySpark DataFrames such as creating new columns, filtering rows, or modifying string & number values.
A Brief History of Pandas
A nuclear test gone wrong, high finance, and some convenient code!

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Using a Redis Cache for your Python Applications
Learn how to leverage in-memory data storage to make your Python apps snappy. Cover everything from managing a Python Redis client to learning the subtleties of Redis data structures.
Package Python Projects the Proper Way with Poetry
Revolutionize your development workflow with an elegant CLI to handle dependencies, environments, configuration, and packaging.