WadeBryson

WadeBryson

Geek Repo

0

following

0

stars

Github PK Tool:Github PK Tool

WadeBryson's repositories

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

cintel-04-reactive

Interactive analytics, reactive app built with Shiny for Python

Language:PythonStargazers:1Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:PythonStargazers:1Issues:0Issues:0

streaming-04-multiple-consumers

Use RabbitMQ to distribute tasks to multiple workers

Language:PythonStargazers:0Issues:0Issues:0

streaming-03-rabbitmq

Get started with RabbitMQ, a message broker, that enables multiple processes to communicate reliably through an intermediary

Language:PythonStargazers:0Issues:0Issues:0

streaming-02-multiple-processes

Get started with multiple processes and concurrent access to shared resources

Language:PythonStargazers:0Issues:0Issues:0

streaming-01-getting-started

An opinionated way to get started with Python for streaming analytics

Language:PythonStargazers:0Issues:0Issues:0

cintel-03-data

Getting started with interactive data analytics in Python

Language:PythonStargazers:0Issues:0Issues:0

cintel-02-app

Getting started with interactive apps written in Python

Language:PythonStargazers:0Issues:0Issues:0
Language:HTMLStargazers:1Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:HTMLStargazers:0Issues:0Issues:0

cintel-05-live-updates

Continuous intelligence and reactive app using Shiny for Python

Language:PythonStargazers:0Issues:0Issues:0
Language:HTMLStargazers:0Issues:0Issues:0
Language:HTMLStargazers:0Issues:0Issues:0
Language:HTMLStargazers:0Issues:0Issues:0

cintel-01-getting-started

Getting started with interactive apps

Language:HTMLStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:1Issues:0Issues:0
Language:Jupyter NotebookStargazers:1Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

datafun-03-datatypes

Practice with Python data types, filter(), map(), and list comprehensions

Language:PythonStargazers:0Issues:0Issues:0

datafun-02-functions

Practice with builtin functions, creating functions, creating methods (functions in a class), and employing statistical functions

Language:PythonStargazers:0Issues:0Issues:0

datafun-01-getting-started

An opinionated way to get started with Python for data analytics

Language:PythonStargazers:0Issues:0Issues:0