Ryan Orsinger (@ryanorsinger)
github

ryanorsinger

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Top repositories

1

mvc-servlet-jsp-review

Review content for building full stack web applications with Servlet and JSPs in the MVC pattern.
Java
15
star
2

101-exercises

101 Exercises for Python fundamentals
Jupyter Notebook
14
star
3

intro-to-deep-learning-with-keras

Introduction to deep learning w/ keras
Jupyter Notebook
11
star
4

intro-to-pandas-course

Jupyter Notebook
11
star
5

67-Minutes-to-NumPy

Intro to NumPy code and video
Jupyter Notebook
5
star
6

101-visualization-exercises

5
star
7

remove-sensitive-info-from-git

Example repo to demonstrate removing sensitive info from git history
Python
4
star
8

learn-to-code-python-workshop

Lesson plan, notebooks, exercises, and handout for a 4 hour intro to python for data science workshop
Jupyter Notebook
4
star
9

101-exercises-js

Source for 101 Exercises in JavaScript
JavaScript
4
star
10

101-regex-exercises

Jupyter Notebook
4
star
11

aphorisms

"Aphorisms as a service" is the API for accessing my "Thoughts for the Day"
JavaScript
3
star
12

machine-learning-classification-workshop

Content and exercises for a 3-4 hour introductory workshop on classification
Jupyter Notebook
3
star
13

nlp-trek

Exploring Star Trek transcripts with Natural Language Processing
Jupyter Notebook
3
star
14

what-is-programming

"What is programming" slides, handout, and paper quiz on JS programming
HTML
2
star
15

list_of_dictionaries

Review exercises for working with lists of dictionaries
Jupyter Notebook
2
star
16

bashyGoody

my bash settings
Shell
2
star
17

intro-to-machine-learning-workshop

End-to-end data science project walkthrough suitable for a 4 hour workshop
Jupyter Notebook
2
star
18

VMLS

Exercises and notes for working through Introduction to Applied Linear Algebra, Vectors, Matrices, and Least Squares
Jupyter Notebook
2
star
19

spring-blog

Blog platform built with Spring Boot
Java
1
star
20

hopper-time-series-exercises

Jupyter Notebook
1
star
21

90-minutes-to-machine-learning

Content, diagrams, and notebooks for my 1.5 hour intro to ML workshop
Jupyter Notebook
1
star
22

101-datasets

Datasets for practice and examples
1
star
23

machinelearning.fit

Source for workshop content resources
HTML
1
star
24

small-sharp-software-tools

My notes for "Small, Sharp Software Tools" along with other command line goodness
1
star
25

binary_intro

Intro to binary numbers, binary operators, and how to count to 1023 on your fingers!
HTML
1
star
26

tryghost

JavaScript
1
star
27

advent_of_code_2021

Jupyter Notebook
1
star
28

git_with_it

Introductory material for working with git version control
1
star
29

workshops

List of workshops I enjoy delivering
1
star
30

SparkSQL-and-DataFrames

Introduction to Spark SQL and DataFrames
Jupyter Notebook
1
star
31

codeup.dev

JavaScript
1
star
32

sicp_notes

My notes and code for working through Structure and Interpretation of Computer Programs
Scheme
1
star
33

101-probability-exercises

101 Probability and Statistics Exercises
Jupyter Notebook
1
star
34

quick_turnarounds

Examples of projects when the 80% solution today is everything and the 100% solution tomorrow is valueless.
1
star
35

intro-to-testing-js

Intro to writing unit tests in test-driven-development for JS
JavaScript
1
star
36

python_statistics_essentials

My exercises and notes for "Python Statistics Essentials"
Jupyter Notebook
1
star
37

programming_the_brain_friendly_way

Handouts, self quiz, and content around metacognition and building programming skill
JavaScript
1
star
38

101-git-exercises

1
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39

ten-functions

Functions practice with automated tests
JavaScript
1
star
40

statistics_simulations_and_hypothesis_testing

Exercises for statistical simulations, probability distributions, and hypothesis testing
Jupyter Notebook
1
star
41

swift_summer_camp

Swift iOS development Summer Camp
Swift
1
star
42

git_practice

this is my repo for demonstrating practicing git
1
star
43

farmers_market_analysis

1
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