Hackers and Slackers
Hackers and Slackers

Hackers and Slackers

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    • Getting Started with Django
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Pandas

Analyze data with the Pandas data analysis library for Python. Start from the basics or see real-life examples of pros using Pandas to solve problems.
Downcast Numerical Data Types with Pandas

Downcast Numerical Data Types with Pandas

Using an Example Where We Downcast Numerical Columns.
Matthew Alhonte
Matthew Alhonte
Jan 28, 2019 • 5 mins
Code Snippet Corner
Parse Data from PDFs with Tabula and Pandas

Parse Data from PDFs with Tabula and Pandas

Parse data from PDFs into Pandas DataFrames by using Python's Tabula library.
Graham Beckley
Graham Beckley
Nov 4, 2018 • 11 mins
Pandas
Importing Excel Datetimes Into Pandas, Part II

Importing Excel Datetimes Into Pandas, Part II

Import dates & times from Excel .xlsx files into Pandas!
Matthew Alhonte
Matthew Alhonte
Aug 20, 2018 • 2 mins
Code Snippet Corner
Importing Excel Datetimes Into Pandas, Part I

Importing Excel Datetimes Into Pandas, Part I

Parse dates and times from Excel .xlsx correctly when using Pandas.
Matthew Alhonte
Matthew Alhonte
Aug 13, 2018 • 1 min
Code Snippet Corner
Lazy Pandas and Dask

Lazy Pandas and Dask

Speed up data analysis by parallelizing your DataFrames.
Matthew Alhonte
Matthew Alhonte
Aug 6, 2018 • 4 mins
Pandas
All That Is Solid Melts Into Graphs

All That Is Solid Melts Into Graphs

Reshaping Pandas DataFrames with a real-life example, and graphing it with Altair.
Matthew Alhonte
Matthew Alhonte
Jul 30, 2018 • 6 mins
Code Snippet Corner
Automagically Turn JSON into Pandas DataFrames

Automagically Turn JSON into Pandas DataFrames

Let Pandas do the heavy lifting for you when turning JSON into a DataFrame.
Graham Beckley
Graham Beckley
Jul 28, 2018 • 13 mins
Pandas
A racoon Observing Bad Data Practices

Trash Pandas: Messy, Convenient Database Operations via Pandas

Using Pandas with databases wrong way, and how to clean it up with SQLAlchemy.
Matthew Alhonte
Matthew Alhonte
Jul 23, 2018 • 3 mins
Code Snippet Corner
A Dirty Way of Cleaning Data (ft. Pandas & SQL)

A Dirty Way of Cleaning Data (ft. Pandas & SQL)

Cleaning data in Pandas the dirty way.
Matthew Alhonte
Matthew Alhonte
Jul 16, 2018 • 8 mins
Code Snippet Corner
Bulk Extract Data from APIs in Python

Bulk Extract Data from APIs in Python

Overcome REST API restrictions such as token expiration and pagination to extract massive amounts of data.
Todd Birchard
Todd Birchard
Jul 4, 2018 • 4 mins
Python

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

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

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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

Authors

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