I learned a lot from many sources, #Stackoverlow, random blogs #GeeksForGeeks, #mCoding on Youtube has a few low level explanations.
But honestly, I love documentation. I lie in my bed and can just read an entire library's documentation top to bottom, and my favorite is the #Python official documentation.
I probably read through it once a month. It acts as a great refresher, but I also notice something new every time.
I use the documentation constantly during development, and it is always open in my browser.
Edit: oh and #w3Schools of course, but that was in the beginning
#stackoverlow #geeksforgeeks #mcoding #python #w3schools
Now (7pm ET Wed) watch https://youtu.be/QS0VmCD9YLU(FEEL FREE TO SUBSCRIBE TO YOUTUBE
@hajiaghayi
FOR FUTURE LESSONS) Lesson 14: Introduction to Algorithms by Mohammad Hajiaghayi: We talk about #Probability (Part 2) useful for designing #randomized #algorithms
#algorithms, #design, #induction, #recursive, #randomizedalgorithms, #probability, #randominput ,
#probabilitytheory, #randomvariables, #expectations, #variance, #Bernoulli, #Binomial, #Poisson, #Normaldistribution, #Gaussian, #Python, #numpy.random, #scipy.stats, #correlation, #Pearson, #spearman, #geeksforgeeks , #hackerrank, #leetcode, #cs, #computerscience
#computerscience #cs #leetcode #hackerrank #geeksforgeeks #spearman #pearson #correlation #scipy #numpy #python #gaussian #normaldistribution #poisson #binomial #Bernoulli #variance #expectations #randomvariables #probabilitytheory #randominput #randomizedalgorithms #recursive #induction #design #algorithms #randomized #probability
@jk @natecull Back then, though, #programmers were #mathematicians and/or #physicists; nowadays, programmers are people who visited #codecademy and #geeksforgeeks ^^
#programmers #mathematicians #physicists #codecademy #geeksforgeeks