
Fstrings, Recursion and Huffman's Algorithm
Hello, checkiomates🐱👤!
Happy New 2023 Year and Merry Christmas everyone! Haven't written you for a year!!😉 This first blog post is traditionally balanced. CheckiO team prepares for you three new missions and three links to read something interesting related programming language we all 💙💛.
🏁 MISSIONS:
Latest ISO datetime by fomenko.oleksii  It's simple. In this task, you need to return the later datetime string between the given two.
get_latest("20070304T21:08:12", "20070304T21:08:12") == "20070304T21:08:12" get_latest("20270901T01:03:10", "19970415T11:18:14") == "20270901T01:03:10" get_latest("00010101T01:01:01", "30001116T13:27:02") == "30001116T13:27:02"
Matrix "Hatching" by freeman_lex  You are given a 2dimensional matrix: a list of lists of integers. Your function should return another Iterable of lists, where each inner list is a sequence of matrix elements on the same diagonal "stroke". The order of elements in the "stroke" is SW > NE. So, building these sequences is like "hatching" the matrix!
list(hatching([[0]])) == [[0]] list(hatching([[1, 2], [3, 4]])) == [[1], [3, 2], [4]] list(hatching([[1, 2, 3, 4, 5], [6, 7, 8, 9, 0]])) == [[1], [6, 2], [7, 3], [8, 4], [9, 5], [0]]
Huffman Encode by CDG.Axel  Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression. In this mission you are given a simple string and your goal is to encode it with Huffman's algorithm.
huffman_encode('BADABUM') == '1001110011000111' huffman_encode('no devil lived on') == '100101111000001110010011111011010110001000111101100' huffman_encode('an assassin sins') == '110111100110001100010111110001011110'
Get your brains in shape with the following articles.
💡ARTICLES:
Python fstrings Are More Powerful Than You Might Think  Formatted string literals — also called fstrings — have been around since Python 3.6, so we all know what they are and how to use them. There are however some facts and handy features of fstring that you might not know about.
30 Helpful Python Snippets  This is a collections of short scripts/expressions to solve small common tasks. These tricks will prove handy in your daytoday coding exercises at CheckiO.
Lazy Evaluation Using Recursive Python Generators  We all are familiar with Python's generators and all their benefits. But, what if I told you that we can make them even better by combining them with recursion? So, let's see how we can use them to implement "lazy recursion" and supercharge what we already do with generators in Python!
A bit of humour at the end!
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