README.md

Personal Resources by Soley

Resources based on my personal experience (quality matters over quantity!)

Arch ❤ Linux

Overview

• CS 101 (Intro to the world of beauty)
• C (Foundation)
• PHP (Brush-up web dev)
• JavaScript (Jedi of Headache)
• Hacking 101 (very basic)
• C++ (One step ahead than C as named C++)
• Java (for OO concept)
• Python (can do anything :3)
• Calculus (Foundation of Complexity)
• Functional Programming (Path to become Pro programmer)
• Go-lang (Seek of speed & efficiency)
• Regular Expressions (Geeks does use)
• Data Structures and Algorithms (DSA) (MOOC)
• Data Science & Artificial Intelligence
• Machine Learning
• R (for Data Science too)
• Matlab
• Blockchain Engineering
• Web Development
• Higher Education as a TA/GA/RA
• Extra Shitt..
• Let the craziness begin
  
  

CS 101 (Intro to the world of beauty) 🌏

• https://www.includehelp.com/basics/
• https://www.geeksforgeeks.org/gate-cs-notes-gq/
• Best one: https://www.youtube.com/playlist?list=PLkVo56yGU5PqCYafmMj_I7n_37K2VABdB
• Harvard CS50(Advance & Hard***): https://cs50.harvard.edu
  
  

C (Foundation) 👍

• Very Basic (bangla): http://cpbook.subeen.com
• Most recom: https://www.dipmat.univpm.it/~demeio/public/the_c_programming_language_2.pdf
• Personal ref
  • http://cs-fundamentals.com/c-programming/c-programming-tutorials.php
  • https://www.geeksforgeeks.org/c-programming-language/
  • http://c.biancheng.net/cpp/u/jiaocheng/
  • http://c-lang.sevendays-study.com/
  • http://program-lecture.info/
  • http://users.cs.cf.ac.uk/Dave.Marshall/C/CE.html
  • University ref
    • https://www.cse.msu.edu/~cse251/
    • http://people.duke.edu/~bcl15/teachdir/ece250_spr14/
    • http://www-ee.eng.hawaii.edu/~tep/EE160/Notes/
    • https://www.albany.edu/faculty/dsaha/teach/2017Spring_CEN360/2017Spring_CEN360.html
    • https://www.cs.uic.edu/~jbell/CourseNotes/C_Programming/
    • http://www.utdallas.edu/~ivor/cs1315/cprog.html
    • https://cs.brown.edu/courses/cs033/
    • http://www.cs.princeton.edu/courses/archive/spr17/cos217/lectures/
• Pointers
  • https://boredzo.org/pointers/
  • https://stackoverflow.com/a/32493730/
  • https://en.wikibooks.org/wiki/C_Programming/Pointers_and_arrays
  • http://alumni.cs.ucr.edu/~pdiloren/C++_Pointers/
  • https://edoras.sdsu.edu/doc/c/pointers-1.2.2/
  • http://www.cs.yale.edu/homes/aspnes/pinewiki/C(2f)Pointers.html
  • http://users.cs.cf.ac.uk/Dave.Marshall/C/node10.html
  • http://cecilsunkure.blogspot.com/2010/11/pointers-basics.html
  • http://cslibrary.stanford.edu/102/
  • https://www.youtube.com/user/JoeQuery/search?query=Pointer
• C with Projects: https://github.com/rby90/Project-Based-Tutorials-in-C
  
  

PHP (Brush-up web dev) 🖌️

• Bucky’s 200 videos: https://www.youtube.com/playlist?list=PL442FA2C127377F
• http://www.zentut.com/php-tutorial/
• Manual: http://php.net/manual/en/index.php
• BASIC OOP: https://www.startutorial.com/homes/oo_beginner
  
  

JavaScript (Jedi of Headache) 📦

• https://javascript.info/
• https://eloquentjavascript.net/
• Path: https://github.com/javascript-society/javascript-path
• Resources: https://github.com/markerikson/react-redux-links/blob/master/javascript-resources.md
• https://flaviocopes.com/javascript/
• Path: https://frontendmasters.com/learn/javascript/
• Guide: https://www.freecodecamp.org/news/a-study-plan-to-cure-javascript-fatigue-8ad3a54f2eb1/
• Jedi: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide
  
  

Hacking 101 (very basic) ☠️

• Linux: https://www.youtube.com/playlist?list=PLnjNR4-S-EVqfJWovxEJyb7I0IOkKkoYM
• CEH: https://iclass.eccouncil.org/our-courses/certified-ethical-hacker-ceh/
• Pentest: https://www.owasp.org/index.php/Web_Application_Penetration_Testing
• Checklist for web hacking: http://imsoley.tk/task/
• Android Hacking: https://www.owasp.org/index.php/OWASP_OMTG_Hacking_Playground
• https://www.youtube.com/results?search_query=offensive+security+course
  
  

C++ (One step ahead than C as named C++) 🔪

• Stanford CS 106B by Marty (Best course so far I have seen)
  • https://www.youtube.com/watch?v=NcZ2cu7gc-A&list=PLnfg8b9vdpLn9exZweTJx44CII1bYczuk
  • https://web.stanford.edu/class/archive/cs/cs106b/cs106b.1162/lecture-videos.shtml
• https://ece.uwaterloo.ca/~dwharder/aads/Tutorial/
• https://zoo.cs.yale.edu/classes/cs427/2018f/lectures.html
• https://web.stanford.edu/class/cs106l/lectures.html
• I love this book: https://python.cs.southern.edu/cppbook/progcpp.pdf
  
  

Java (for OO concept) 🤶

• Best course on the planet, XD: https://mooc.fi/en/
• Gold: https://docs.google.com/document/d/1GVj8K9evB6cnbYSzajEo6RqkaqlCUZcn1-PrA4nyX4s
• Bucky’s Java
  • Beginner: https://www.youtube.com/playlist?list=PLFE2CE09D83EE3E
  • Intermediate: https://www.youtube.com/playlist?list=PL27BCE863B6A864E
  • GUI: https://www.youtube.com/playlist?list=PL6gx4Cwl9DGBzfXLWLSYVy8EbTdpGbUIG
• University OOP
  • https://sp19.datastructur.es/
• Stanford Java By Marty: https://www.youtube.com/playlist?list=PLAe8LJLmXkN1348vyNZ87L_t_KlbMFIYr
• Good one: http://programmedlessons.org/Java9/index.html
• https://www.includehelp.com/java/
• https://docs.oracle.com/javase/tutorial/
• http://www.learntosolveit.com/java/
• https://www.ntu.edu.sg/home/ehchua/programming/java/J3a_OOPBasics.html
• https://jimgerland.com/javaguide/
• https://www.java-made-easy.com
• https://alvinalexander.com/java/java_oo/
  
  

Python (can do anything :3) 🐍

• MIT: https://www.youtube.com/playlist?list=PLUl4u3cNGP63WbdFxL8giv4yhgdMGaZNA
• Corey’s: https://www.youtube.com/playlist?list=PL-osiE80TeTt2d9bfVyTiXJA-UTHn6WwU
• Sentdex
  • Beginn: https://www.youtube.com/playlist?list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M
  • Interm: https://www.youtube.com/playlist?list=PLQVvvaa0QuDfju7ADVp5W1GF9jVhjbX-_
• Best guide: https://docs.python-guide.org/
• Manual: https://docs.python.org/3/
• Path to Become Python Guru: https://stackoverflow.com/a/2576240/
  
  

Calculus (Foundation of Complexity) 😔

• One of the best course: https://www.youtube.com/channel/UC5N5pRddyicAX1QJyJjIIdg
• Calculus one & two by Jim Fowler (Best of Best): https://www.youtube.com/user/kisonecat/playlists?sort=dd&view=50&shelf_id=4
• https://www.youtube.com/view_play_list?p=F5E22224459D23D
• https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA/playlists
• https://www.youtube.com/user/misterwootube/playlists
• https://www.youtube.com/user/MySecretMathTutor/playlists
• https://www.youtube.com/playlist?list=PL19E79A0638C8D
  
  

Functional Programming (Path to become Pro programmer) 👳‍♂️

• Haskell
  • http://book.realworldhaskell.org/read/
  • http://learnyouahaskell.com/chapters
  • https://www.seas.upenn.edu/~cis194/spring15/lectures.html
    
    

Go-lang (Seek of speed & efficiency) ⚡

• Complete ref: https://docs.google.com/document/d/1Zb9GCWPKeEJ4Dyn2TkT-O3wJ8AFc-IMxZzTugNCjr-8/
  
  

Regular Expressions (Geeks does use) 🐹

• YT Videos
  • https://www.youtube.com/watch?v=KJG1dETacLI
  • https://www.youtube.com/watch?v=WX5Zfflvdt
  • https://www.youtube.com/watch?v=sa-TUpSx1JA
  • https://www.youtube.com/watch?v=ZfQFUJhPqMM
  • https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YEypLuls7iidwHMdCM6o2w
• https://github.com/ziishaned/learn-regex
• https://ryanstutorials.net/regular-expressions-tutorial/
• https://regexone.com/
• https://regexcrossword.com/
• https://regexr.com/
• https://www.regular-expressions.info/tutorialcnt.html
• Book(Master Regex 3rd Edition): http://shop.oreilly.com/product/9780596528126.do
• http://www.zytrax.com/tech/web/regex.htm
• https://developers.google.com/edu/python/regular-expressions
  
  

Data Structures and Algorithms (DSA) (MOOC) 😎

• Stanford University Algorithms
  • Part 1: https://www.coursera.org/course/algo
  • Part 2: https://www.coursera.org/course/algo2
• Princeton University Algorithms
  • Part 1: https://www.coursera.org/course/algs4partI
  • Part 2: https://www.coursera.org/course/algs4partII
• MIT OCW Algorithm: http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/lecture-videos/
• University of California Data Structure: https://www.cs.berkeley.edu/~jrs/61b/
• MIT OCW Data Structure: http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-851-advanced-data-structures-spring-2012/lecture-videos/
• Harvard Extension School Data Structure: http://www.extension.harvard.edu/academics/courses/data-structures-algorithms/21462
  
  

Data Science & Artificial Intelligence 🤖

• https://jakevdp.github.io/PythonDataScienceHandbook/
• Python stuff
  • Pure gold: https://chrisalbon.com/
  • https://scipython.com/book/
  • Practice Projects
    • https://github.com/tuvtran/project-based-learning#python
    • https://projecteuler.net/
• Linear algebra
  • https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
  • https://www.khanacademy.org/math/linear-algebra
  • https://betterexplained.com/articles/linear-algebra-guide/
  • http://physics.bgu.ac.il/~gedalin/Teaching/Mater/am.pdf
  • http://www.physics.miami.edu/~nearing/mathmethods/mathematical_methods-one.pdf
  • https://www.math.ubc.ca/~carrell/NB.pdf
  • https://math.byu.edu/~klkuttle/EssentialLinearAlgebra.pdf
• Calculus
  • https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
  • https://www.khanacademy.org/math/calculus-1
  • https://www.khanacademy.org/math/calculus-2
  • https://www.khanacademy.org/math/multivariable-calculus
• Data exploration
  • https://github.com/StephenElston/ExploringDataWithPython/blob/master/LearningDataVisualization.ipynb
  • https://www.kaggle.com/c/titanic#description
• Probability and statistics
  • https://www.khanacademy.org/math/statistics-probability
  • http://greenteapress.com/thinkstats/thinkstats.pdf
  • https://bookboon.com/en/applied-statistics-ebook
  • http://www.wzchen.com/probability-cheatsheet/
• Statistical learning
  • https://www-bcf.usc.edu/~gareth/ISL/index.html
  • https://work.caltech.edu/telecourse.html
  • Best one: https://web.stanford.edu/~hastieElemStatLearn/
• DS Paths
  • https://docs.google.com/spreadsheets/d/11s1JS-Qx-HgzDPa11CNTY9nkI-6tnSQzRua_wkVfF-0/edit?usp=sharing
  • https://learn-anything.xyz/data-science
  • DS In 8 Steps: https://s3.amazonaws.com/assets.datacamp.com/blog_assets/DataScienceEightSteps_Full.png
  • https://docs.google.com/document/d/1jdykjMTsbojFGNaI6T-cYFZuVgGrImjeP8MWhE69vhk/edit
    
    

Machine Learning 🚣‍♂️

• Maths for ML:
  • https://mml-book.github.io/
• Python Packages for ML
  • Pandas
    • https://github.com/wesm/pydata-book
    • https://www.kaggle.com/abdullahsahin/step-by-step-pandas-tutorial-for-beginner
    • https://www.guru99.com/python-pandas-tutorial.html
    • https://www.youtube.com/playlist?list=PLQVvvaa0QuDc-3szzjeP6N6b0aDrrKyL-
    • https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html
  • Matplotlib
    • https://realpython.com/python-matplotlib-guide/
    • https://www.youtube.com/playlist?list=PLQVvvaa0QuDfefDfXb9Yf0la1fPDKluPF
    • https://matplotlib.org/tutorials/index.html
  • Numpy
    • http://cs231n.github.io/python-numpy-tutorial/
    • https://docs.scipy.org/doc/numpy/user/quickstart.html
    • https://www.kaggle.com/hkumls/intensive-python-tutorial-numpy
  • Scikit-learn
    • https://scikit-learn.org/stable/tutorial/index.html
    • http://gael-varoquaux.info/scikit-learn-tutorial/
    • https://www.youtube.com/playlist?list=PLQVvvaa0QuDd0flgGphKCej-9jp-QdzZ
  • NLTK & NLP
    • https://www.youtube.com/playlist?list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL
    • Uni ref
      • https://www.youtube.com/playlist?list=PLQiyVNMpDLKnZYBTUOlSI9mi9wAErFtFm
      • https://www.youtube.com/playlist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR
      • http://web.stanford.edu/class/cs224n/
      • http://demo.clab.cs.cmu.edu/NLP/
      • http://www.cs.jhu.edu/~jason/465/
      • https://www.cs.utexas.edu/~mooney/cs388/
  • Tensorflow
    • https://www.youtube.com/playlist?list=PL9ooVrP1hQOFJ8UZl86fYfmB1_P5yGzBT
    • https://www.youtube.com/playlist?list=PLQVvvaa0QuDfhTox0AjmQ6tvTgMBZBEXN
    • Uni ref
      • Stanford: https://www.youtube.com/playlist?list=PLQ0sVbIj3URf94DQtGPJV629ctn2c1zN-
      • http://web.stanford.edu/class/cs20si/2017/syllabus.html
      • https://cs224d.stanford.edu/lectures/
      • https://www.math.purdue.edu/~nwinovic/tensorflow.html
  • Theanos
    • http://www.marekrei.com/blog/theano-tutorial/
    • http://deeplearning.net/software/theano/tutorial/
    • https://www.youtube.com/playlist?list=PL8Fr1wNWCi4T2fvla24jenU4IBM3P8_lJ
  • Keras
    • https://www.guru99.com/keras-tutorial.html
    • https://www.pyimagesearch.com/2018/09/10/keras-tutorial-how-to-get-started-with-keras-deep-learning-and-python/
    • https://keras.io/
    • https://www.youtube.com/playlist?list=PLoY9f-5DCBllMdKJtDewkggsARqGqadeX
  • Pytorch
    • https://github.com/yunjey/pytorch-tutorial
    • https://pytorch.org/tutorials/
    • https://www.kaggle.com/kanncaa1/pytorch-tutorial-for-deep-learning-lovers
      • Uni ref
        • https://cise.ufl.edu/~xiaoyong/materials/pytorch_tutorial.pdf
        • https://courses.cs.washington.edu/courses/cse446/18wi/sections/section7/6_pytorch_tutorial.html
        • http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289g-winter2018/Pytorch_Tutorial.pdf
        • https://www.cs.purdue.edu/homes/ribeirob/courses/Spring2018/lectures/Hands_On_pyTorch.html
• Quantitative Economics with Python(for DS too): https://lectures.quantecon.org/py/
• Good one: https://www.kaggle.com/mjbahmani/the-data-scientist-s-toolbox-tutorial-2/notebook
• University of Washington ML: https://www.coursera.org/specializations/machine-learning
• Andrew’s: https://www.coursera.org/specializations/deep-learning
• Stanford: https://www.coursera.org/learn/machine-learning
• https://www.udacity.com/learn/machinelearning
• https://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/index.html
• https://www.reddit.com/r/MachineLearning/comments/5z8110/d_a_super_harsh_guide_to_machine_learning/
  
  

R (for Data Science too) 🙄

• With fun way: https://www.rforcats.net/
• Best: https://r4ds.had.co.nz/
• https://storage.googleapis.com/kaggle-forum-message-attachments/356656/9869/DataScienceinR.pdf
• https://paulvanderlaken.com/2017/10/18/learn-r/
• https://paulvanderlaken.com/2017/08/10/r-resources-cheatsheets-tutorials-books/
• https://www.kaggle.com/rtatman/welcome-to-data-science-in-r
• https://baseballwithr.wordpress.com/
• https://www.cs.upc.edu/~robert/teaching/estadistica/rprogramming.pdf
• https://www.kaggle.com/shreedevi/titanic-r-tutorial
• Manual: https://cran.r-project.org/doc/manuals/r-release/R-intro.html
  
  

Matlab 💁

• MIT: http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-094-introduction-to-matlab-january-iap-2010/
• MIT: https://lagunita.stanford.edu/courses/course-v1:Engineering+AdvMATLAB+Fall2018/about
• https://ef.engr.utk.edu/ef230-2014-01/modules/index.php
• http://undocumentedmatlab.com/
• http://controleducation.group.shef.ac.uk/indexwebbook.html
• https://matlabacademy.mathworks.com/
• https://drive.google.com/drive/folders/1Krl86TpXllSawZzheKRdH6xNd7v9kUKb
• Solving problems: https://www.mathworks.com/matlabcentral/cody/problems
  
  

Blockchain Engineering 🗺️

• https://a16z.com/2018/02/10/crypto-readings-resources/
• https://www.newline.co/
• https://medium.com/crypto-currently/lets-build-the-tiniest-blockchain-e70965a248b
• https://www.humblebundle.com/books/bitcoin-cryptocurrency-books
• https://www.reddit.com/r/CryptoCurrency/comments/7zlvge/the_path_to_become_a_blockchain_developer/
• https://ethereum.network/learn
• https://www.coursera.org/learn/cryptocurrency
• http://bitcoinbook.cs.princeton.edu/
• https://antonopoulos.com/ (His all videos)
• https://anders.com/blockchain/
• https://github.com/bitcoinbook/bitcoinbook
• https://aois.blob.core.windows.net/public/Blockchain%20Programming%20in%20CSharp.pdf
• https://blog.cryptoconsortium.org/preparing-for-the-certified-bitcoin-professional-exam/
• https://docs.google.com/document/d/1VmRShRTO202HkCpEML4bpm9UJLcdFstnj9oD3ASAlhY/
• https://www.reddit.com/r/CryptoTechnology/comments/8yxky7/guide_how_to_get_started_with_blockchain/
• https://www.reddit.com/r/CryptoCurrency/comments/97g9n0/an_extensive_list_of_blockchain_courses_resources/
  
  

{x} Web Dev 💻

• Full Stack(udacity): https://www.udacity.com/course/full-stack-web-developer-nanodegree--nd
• Bootcamp(udemy): https://www.udemy.com/the-complete-web-development-bootcamp/
  
  

Higher Education as a TA/GA/RA 👨‍🎓

• Prepare for IELTS
  • Practice! - Practice!! - Practice!!!
  • Watch YouTube Videos A LOT
  • Be connected with English community (No freaking banglish community)
  • University of Queensland: https://www.edx.org/course/ielts-academic-test-preparation-0
  • Need to improve
    • Fluency
    • Coherence
    • Task Achievement
    • Lexical Resources
    • Grammatical Range
    • Paraphrase
    • Skimming
    • Scanning
    • Connectors
    • Paragraphing
    • Essay Types
    • Speed Reading
  • Prepare for GRE
    • Magoosh flashcards
    • Magoosh account
    • Manhattan 5LB
    • ETS materials
    • Barrons 333
  • Verbal
    • Barrons 333 + word smart 1&
    • Verbal grail
    • Manhattan 7-
    • Big book RC
    • 5 LB (TC+SE+Logical RC)
    • ETS verbal
  • Quant
    • Manhattan 1-
    • Manhattan 5 LB
    • Nova (Geometry+probability+permutation+combination)
    • ETS quant + official guide
    • Princeton 1014
  • Ana
    • Kaplan template
    • ETS pool samples
• Publications based on research interests
  • Quality does matter A LOT
• Build projects on research
  • Real time object recognizer
  • Biological Research Projects
  • Or Building own Neural Network for a particular task
• Analyse projects of other Uni professors with same interests
  • Suppose target is USA and Interested in Robotics
  • Query I use: Robotics by +site:.edu or Robotics by +inurl:~ +site:.edu
  • Then filter out other countries results
• Learn every single piece of shitt of academic materials to get a decent CGPA -
  • Examples
    • Computer? - transistor with on/off state hence binary 0, 1
    • Why this two states, how & behavior
    • How Assembly works
    • How character becomes 0,1 (ASCII)
    • How Videos are structured > collections of img > rgb > pixels > etc...
    • Audio and all others sooo on blah blah shitt....
      
      

Extra Shitt.. 😉

• Masterpiece: http://rosettacode.org/wiki/Rosetta_Code
• Pro level books(pure gold): https://goalkicker.com
• VCS: https://www.youtube.com/playlist?list=PL6gx4Cwl9DGAKWClAD_iKpNC0bGHxGhcx
• Vim
  • https://www.youtube.com/watch?v=5r6yzFEXajQ
  • https://devhints.io/vim
  • https://github.com/amix/vimrc
• Tmux
  • https://www.youtube.com/watch?v=5r6yzFEXajQ
  • https://tmuxcheatsheet.com/
  • https://danielmiessler.com/study/tmux/
  • https://github.com/gpakosz/.tmux
• Shell Programming
  • http://www.freeos.com/guides/lsst/
  • https://bash.cyberciti.biz/guide/Main_Page
• Socket Programming
  • Python
    • https://realpython.com/python-sockets/
    • https://www.youtube.com/playlist?list=PLhTjy8cBISErYuLZUvVOYsR1giva2payF
  • Java
    • http://cs.lmu.edu/~ray/notes/javanetexamples/
    • https://cs.gmu.edu/~setia/cs571-F02/slides/lec6b.pdf
  • C/C++
    • http://www.cse.unt.edu/~sweany/CSCE3600F15/HANDOUTS/pdfOfppt.pdf
    • http://www.cs.cornell.edu/courses/cs4450/2018sp/sockets_slides.pdf
    • http://courses.cs.vt.edu/~cs5516/spring03/slides/SocketProgramming_1.pdf
    • http://www.cs.toronto.edu/~yganjali/resources/Course-Handouts/CSC458/H03--CSC458-Tutorial-I.pdf
• Assembly
  • http://www.c-jump.com/CIS77/ASM/Assembly/lecture.html
  • https://pacman128.github.io/pcasm/
  • http://www.opensecuritytraining.info/IntroX86.html
  • http://www.plantation-productions.com/Webster/
  • https://legend.octopuslabs.io/sample-page.html
  • http://win32assembly.programminghorizon.com/tutorials.html
  • Uni ref
    • http://chortle.ccsu.edu/AssemblyTutorial/
    • http://www.egr.unlv.edu/~ed/x86.html
    • http://cs.lmu.edu/~ray/notes/x86assembly/
• Reverse Engineering
  • http://opensecuritytraining.info/IntroX86.html
  • https://securedorg.github.io/RE101/
  • https://beginners.re/
  • https://www.begin.re/
  • http://www.woodmann.com/
  • Uni ref
    • http://www.cs.fsu.edu/~liux/courses/reversing/
    • https://www.cs.drexel.edu/~spiros/teaching/CS675/
    • http://www.math.clemson.edu/~macaule/classes/f16_math4500/slides
    • https://cs125.cs.illinois.edu/lab/5/
• CCNA
  • https://www.pluralsight.com/paths/ccna
  • https://www.youtube.com/user/professormesser
  • https://www.youtube.com/playlist?list=PLmdYg02XJt6QRQfYjyQcMPfS3mrSnFbRC
  • https://ftuforum.com/the-complete-networking-fundamentals-course-your-ccna-start-1/
  • https://drive.google.com/drive/folders/1WocC_X5uzS7XQLVQdSRJJWcKDwL4ya4g
  • https://mega.nz/#F!dWISgYKa!JiFAxnZPmgsrEIcm1BKBCA
• Compiler Design
  • Stanford: http://web.stanford.edu/class/cs143/
  • Best: https://sites.google.com/site/wonsunahn/teaching/cs
  • https://www.isi.edu/~pedro/Teaching/CSCI565-Spring17/
  • https://parasol.tamu.edu/~rwerger/Courses/434/
  • Book: http://hjemmesider.diku.dk/~torbenm/Basics/
  • http://web.cecs.pdx.edu/~harry/compilers/syllabus.html
  • https://www.cs.cmu.edu/~fp/courses/15411-f08/schedule.html
  • Must read: http://craftinginterpreters.com/
• System Design
• Competitive Programming
• ... more
• Preparation for big 4 (Google, Facebook, Amazon, Microsoft)
  • https://www.youtube.com/watch?v=YJZCUhxNCv
  • https://github.com/jwasham/coding-interview-university
    
    

Let the craziness begin 🔥

• Quantum Physics
  • Understanding Einstein (The Special Theory of Relativity - Stanford): https://www.coursera.org/learn/einstein-relativity
  • Richard Feynman Lectures
    • Messenger Lectures (1964): http://www.cornell.edu/video/playlist/richard-feynman-messenger-lectures
    • Legendary lectures: http://www.feynmanlectures.caltech.edu/
  • Exploring Quantum Physics(University of Maryland) -
    • Course: https://www.my-mooc.com/en/mooc/eqp/
    • Workshop: http://qml2018.umiacs.io/
  • MIT OCW
    • Part 1: https://ocw.mit.edu/courses/physics/8-04-quantum-physics-i-spring-2013/lecture-vid eos/
    • Part 2: https://ocw.mit.edu/courses/physics/8-05-quantum-physics-ii-fall-2013/video-lectures/
  • Oxford: https://www.youtube.com/playlist?list=PLOarn8QL6W_ImlqPOMluvxIUx9hkWMiTY
  • Relativistic Quantum Mechanics: https://www.youtube.com/playlist?list=PLOarn8QL6W_L1T2soxwuWNy6XJxrLAG4A
  • http://talkminer.fxpal.com/searcher.jsp?q=Quantum+Physics&t=searchbox&s=home
  • https://github.com/Developer-Y/math-science-video-lectures
• Astronomy/Astrophysics/Cosmology
  • Astronomy - UC Berkeley: https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iAWhNzFKIy-KkqCcSPKG
• Psychology
  • Introduction to Psychology as a Science (Georgia Institute of Technology)
    • Methodological and Biological Foundations: https://www.coursera.org/learn/methodological-biological-foundations
    • Fundamentals of the Mind and Behavior: https://www.coursera.org/learn/mind-behavior-fundamentals
  • Wesleyan University: https://www.coursera.org/learn/social-psychology
  • General Psychology - UC Berkeley: https://archive.org/details/UcBerkeleyPsychology1-GeneralPsychology
• Bug Finding
  • Movies for Hackers: https://github.com/k4m4/movies-for-hackers
  • https://edoverflow.com/2017/bugbounty-faq/
  • https://github.com/EdOverflow/bugbounty-cheatsheet
  • https://github.com/ngalongc/bug-bounty-reference
  • https://github.com/jhaddix/tbhm
  • https://forum.bugcrowd.com/t/researcher-resources-tools/
  • https://forum.bugcrowd.com/t/how-do-you-approach-a-target/293/
  • https://hackernoon.com/10-rules-of-bug-bounty-65082473ab8c
  • https://github.com/djadmin/awesome-bug-bounty
• Awesomeness
  • Awesome lists: https://github.com/sindresorhus/awesome
  • Computer Science curriculum(Books): https://github.com/AB1908/CS-Books
  • Shanghai Jiaotong University School of Software undergraduate programming reference: https://github.com/SJTU-SE/awesome-se
  • Terminals Are Sexy: https://github.com/k4m4/terminals-are-sexy
  • Awesome university courses for learning CS: https://github.com/prakhar1989/awesome-courses
  • Awesome Python: https://github.com/vinta/awesome-python
  • Awesome mathematics resources: https://github.com/rossant/awesome-math
  • Awesome APIs: https://github.com/TonnyL/Awesome_APIs
  • Awesome Regex: https://github.com/aloisdg/awesome-regex
  • ML, DL, Craps: https://github.com/ty4z2008/Qix
  • Another Collection of APIs: https://apilist.fun
  • Chinese CS hell: http://www.qfedu.com/
  • Awesome Uni Courses: https://docs.google.com/document/d/1wZlC6B4SWKMbkmV51OkOYYaupM5PGDVwQDJREZr7yHo/edit?usp=sharing
• Darkness
  
  

Welcome for Suggestions ❤️