"Introduction to Algorithms" 📘 - an outstanding university resource for everyone studying algorithms and computer science. 🎓💻
The book covers computational complexity, data structures, algorithms on graphs, dynamic programming, divide-and-conquer methods, greedy algorithms, randomized algorithms, and many mathematical foundations of modern computer science. 🧮📊🔍
What's particularly valuable here is the combination of mathematical rigor and practical algorithmic thinking. 🧠✨ This is one of those books that greatly change the approach to problem analysis, efficiency, and computing itself. 🚀🛠
An essential tool in the library of any developer and engineer working in the field of computer science. 🏗💾
https://www.cs.mcgill.ca/~akroit/math/compsci/Cormen%20Introduction%20to%20Algorithms.pdf 🔗
#Algorithms #ComputerScience #Programming #CSStudent #TechEducation #DevTools
The book covers computational complexity, data structures, algorithms on graphs, dynamic programming, divide-and-conquer methods, greedy algorithms, randomized algorithms, and many mathematical foundations of modern computer science. 🧮📊🔍
What's particularly valuable here is the combination of mathematical rigor and practical algorithmic thinking. 🧠✨ This is one of those books that greatly change the approach to problem analysis, efficiency, and computing itself. 🚀🛠
An essential tool in the library of any developer and engineer working in the field of computer science. 🏗💾
https://www.cs.mcgill.ca/~akroit/math/compsci/Cormen%20Introduction%20to%20Algorithms.pdf 🔗
#Algorithms #ComputerScience #Programming #CSStudent #TechEducation #DevTools
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Why is enumerate() used in Python? 🤔🐍
It allows you to simultaneously obtain the value of an element and its index when iterating through a list. 📊✨
This is more convenient and more readable than manually working with a counter. ✅🚀
#Python #Coding #Programming #Dev #Tech #Code
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It allows you to simultaneously obtain the value of an element and its index when iterating through a list. 📊✨
This is more convenient and more readable than manually working with a counter. ✅🚀
for i, item in enumerate(items):
print(i, item)
#Python #Coding #Programming #Dev #Tech #Code
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# Cheat sheet on high-order functions in Python:
🐍
🔍
🔄
⚡
📦
📚
🧠
#Python #Programming #HighOrderFunctions #FunctionalProgramming #Coding #MapFilterReduce
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🐍
map() - applies a function to every element of an iterable and returns an iterator with the results🔍
filter() - filters elements based on a condition and leaves only those for which the function returns True🔄
reduce() - successively combines all elements of an iterable into a single value⚡
lambda functions - anonymous functions for short expressions and working with map/filter/reduce📦
iterable objects - lists, tuples, and other collections for processing📚
functools - a Python module that contains reduce()🧠
functional programming - an approach to programming through functions and data processing without changing the state```pythonint(total)```
# Example usage
from functools import reduce
# map
squared = map(lambda x: x**2, [1, 2, 3, 4])
print(list(squared))
# filter
evens = filter(lambda x: x % 2 == 0, [1, 2, 3, 4, 5])
print(list(evens))
# reduce
total = reduce(lambda x, y: x + y, [1, 2, 3, 4])
pr
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