Helpful links

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List of links pertaining to eclectic areas of interest:

Special Mentions

• John Kitchin’s DFT book
• Andrew White’s Deep Learning for Molecules and Materials Notebook
• Fundamentals of Data Visualization

Linear Algebra + Stats

• Khan Academy Lectures
• 3Blue1Brown’s Essence of Linear Algebra Series
• Intuitive guide to Linear Algebra
• StatQuest

Calculus

• 3Blue1Brown’s Calculus Series
• Khan Academy’s Multivariate Calculus

Data Science Blogs

• Nate Silver’s 538
• Pudding’s data viz
• Spurious Correlations
• Understanding uncertaintly
• Math3ma Blog

Learning Python

• Automate Boring Stuff with Python
• Scientific programing with Python
• Visual Guide to Numpy
• Project Euler
• Github Repo for Projects
• Python DataScience Handbook
• Chris Albon’s notes

ML + Datascience:

• Hands-on Machine Learning
• Jakevdp Python Datascience Notbook
• Cool visual intro to ML
• Blog entry for Deep learning crash course
• Distill Blog

Cool Courses:

• Harvard’s CS 109
• Stanford’s CS - CNN course
• MIT’s Intro to Deep Learning
• Google’s ML crash course
• Deep learning for molecules
• NYU’s PyTorch Deep learning
• CMU’s course on Computer Graphics
• MIT’s course on Computational Thinking

YouTubers

List of YouTuber channels that never fail to inspire me

1. Science and Technology

• Vsauce
• Sixty Symbols
• Tom Scott
• 3Blue1Brown
• Vertisasium
• Applied Science
• StatQuest
• MKBHD

2. Food

• J Kenji Lopez-Alt
• Binging with Babish
• Adam Ragusea
• Food Wishes

3.Videography and Design

• Casey Neistat
• Dan Mace
• Peter McKinnon
• Andrew Price - Blender
• CGMatter
• CG Figures - Scientific visualization in Blender

4. Journalism

• Dhruv Rahtee
• Johnny Harris
• Faye D’Souza

Misc:

• Paul Graham
• Sam Altman
• Beauty of Science
• Maria Popova’s Brain Pickings
• Wait But Why
• Brad Feld’s Personal Blog
• Melthing Asphalt
• Robert Heaton
• Astral Codex Ten

Comics:

• Xkcd
• Oatmeal
• Catana Comics

• Guide