Hackers and Slackers
Hackers and Slackers

Hackers and Slackers

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  • Python
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Data Analysis

Draw meaningful conclusions from data whether you’re a business analysis, data engineer, or data scientist.
Create Cloud-hosted Charts with Plotly Chart Studio

Create Cloud-hosted Charts with Plotly Chart Studio

Use Pandas and Plotly to create cloud-hosted data visualizations on-demand in Python.
Todd Birchard
Todd Birchard
Sep 3, 2020 • 7 mins
Plotly
4 Ways To Improve Your Plotly Graphs

4 Ways To Improve Your Plotly Graphs

Making high-quality data visualizations is a critical skill for Data Scientists. Learn how to get better at it using Plotly's Python library.
Dylan Castillo
Dylan Castillo
May 25, 2020 • 8 mins
Data Analysis
Splitting Columns With Pandas

Splitting Columns With Pandas

Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.
Matthew Alhonte
Matthew Alhonte
Nov 19, 2019 • 7 mins
Code Snippet Corner
Comparing Rows Between Two Pandas DataFrames

Comparing Rows Between Two Pandas DataFrames

Find data that is not common between two Pandas DataFrames; effectively the opposite of finding an intersection of data.
Todd Birchard
Todd Birchard
Oct 20, 2019 • 5 mins
Pandas
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
Matthew Alhonte
Jun 3, 2019 • 3 mins
Code Snippet Corner
Removing Duplicate Columns in Pandas

Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.
Matthew Alhonte
Matthew Alhonte
May 28, 2019 • 3 mins
Code Snippet Corner
Using Hierarchical Indexes With Pandas

Using Hierarchical Indexes With Pandas

Use Panda's multi-index to create smarter datasets. Speed up your workflow by easily selecting and aggregating related data.
Todd Birchard
Todd Birchard
May 28, 2019 • 12 mins
Pandas
Reshaping Pandas DataFrames

Reshaping Pandas DataFrames

A guide to DataFrame manipulation using groupby, melt, pivot tables, pivot, transpose, and stack.
Todd Birchard
Todd Birchard
May 20, 2019 • 12 mins
Pandas
Welcome to SQL: Modifying Databases and Tables

Welcome to SQL: Modifying Databases and Tables

Brush up on SQL fundamentals such as creating tables, schemas, and views.
Todd Birchard
Todd Birchard
Feb 19, 2019 • 10 mins
SQL
Geocoding Raw Datasets for Mapbox

Geocoding Raw Datasets for Mapbox

Use the Mapbox Python SDK to transform a collection of addresses into lat/long coordinates.
Todd Birchard
Todd Birchard
Dec 18, 2018 • 8 mins
Mapbox

Tags

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.

Navigation

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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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