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quantecon-notebooks-python

A Repository of Notebooks for the Python Lecture Site

r-for-criminologists

An introduction to R for Criminologists

r4crimug

Materials for learning R tailored to UG Criminology students

react-bookshelf

A bookshelf project for the Udacity React Nanodegree.

reactnd-project-myreads-starter

Starter Code for the React MyReads Project

readings

A curated list of suggested reading materials.

real_world_python

Code and supporting files for book Real World Python

reddit_utils

A collection of reddit utility scripts organized as a web app — includes the ability to search through your saved posts

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

research-methods-for-data-science-with-python

Research Methods for Data Science with Python

resources

PyMC3 educational resources

resources-front-end-beginner

💯 The most essential list of resources for Front-End beginners (🇺🇸 🇬🇧 🇨🇦 & 🇫🇷)

rock-paper-scissors

A simple game of Rock Paper Scissors developed to test my own understanding of OOP using Python

samplemod

Sample module for Python-Guide.org.

scholar.py

A parser for Google Scholar, written in Python

school_district_analysis

scikit-learn-mooc

scikit-learn-mooc

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

scipy-lectures.github.com

Webpages hosting for the SciPy Lecture Notes

seeing-theory

A visual introduction to probability and statistics.

shared

Code and shared files

simple-kanban

A very lightweight kanban board

simpleusers

A simple user management script written in PHP/MySQL which allows you to easily add login protected areas of you website.

small_multiples_and_more_pandas_seattle-sf-chicago-ds

Learning how to make small multiples with python

spatial-temporal-analysis-of-crime

Crimes occur everywhere around us, affecting the quality of life and growth of the economy of a society. Although crimes occur everywhere, criminals target familiar areas for them whenever they get the opportunity. Thus, given a data mining approach, it is possible to process data such as the crime type, date, area and so on to find a pattern among these crimes. This could help us predict whether the area is safe or unsafe, for a given time, day and area. By this, we hope to raise the awareness among people about their surroundings and help them be aware and undertake safety measures at the dangerous time periods. This could also be useful to the police department of the area so they can send suitable police force and maintain tight security in crime prone areas and times. Our Data Mining assignment aims at performing Tactical Crime analysis on real-world crimes dataset of Los Angeles in California from 2010 to 2015. To extract frequent patterns of crime on the dataset, we used several techniques and algorithms to generate various graphs to help us analyze the data and be able to predict the crime rates in specific locations at a particular time. We have provided statistical analysis of different crime types with their demographic information.

spatialdataframe-primer

Collection of Jupyter Notebooks demonstrating some of the basics for working with SpatialDataFrames

spotify_rewrapped

Spotify Rewrapped

sql-docs

Technical documentation for Microsoft SQL Server, tools such as SQL Server Management Studio (SSMS) , SQL Server Data Tools (SSDT) etc.

sqlalchemy-challenge

sqlworkshops-sql2019workshop

SQL Server 2019 Workshop