Jeff Daniel's repositories
Algorithms
An introduction to algorithmic problem-solving and algorithmic paradigms.
Computer-Architecture
Computer Architecture
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Demo
This is a demo repository.
DS-Courses
Collection of data science related courses I've taken, my notes, and example notebooks.
Flask-Mega-Tutorial
A microblog web app created by following the book "The New and Improved Flask Mega Tutorial" by Miguel Grinberg
full_stack_machine_learning_engineering_courses
Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Berkeley, MIT, and Stanford.
Graphs
Graphs, BFS, DFS, connected components
grokking_algorithms
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
Intro-Python-I
Introduction to Python basics
Intro-Python-II
Second part of introduction to Python basics
JLDaniel77.github.io
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
my-plotly-dash-demo
Demo for creating Plotly-Dash app on Windows
Pandas-Data-Science-Tasks
Set of real world data science tasks completed using the Python Pandas library
pcc_3e
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
Simple-Flask-API
Simple API created with Flask and SQLite on the backend.
Sprint-Challenge--Intro-Python
Intro to Python Sprint Challenge