Hackers and Slackers

Hacks, tutorials, and news for engineers & data scientists. Cool people learning stuff typically reserved for smart people. Technology for badasses

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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.

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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.

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Create Cloud-hosted Charts with Plotly Chart Studio

Use Pandas and Plotly to create cloud-hosted data visualizations on-demand in Python.

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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.

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Build it with Terraform

Provision Google Cloud infrastructure using Hashicorp Terraform. Spin up instances of CloudSQL, Redis, Kubernetes and more.

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Deploy a Golang Web Application Behind Nginx

Deploy a self-hosted Go web application using Nginx as a reverse proxy.

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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.

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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.

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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.

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Cleaning PySpark DataFrames

Easy DataFrame cleaning techniques ranging from dropping rows to selecting important data.

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Transforming PySpark DataFrames

Apply transformations to PySpark DataFrames such as creating new columns, filtering rows, or modifying string & number values.

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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.

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Package Python Projects the Proper Way with Poetry

Revolutionize your development workflow with an elegant CLI to handle dependencies, environments, configuration, and packaging.