![]() Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution.You’ll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. The book’s five chapters cover (1) tips and tricks, (2) regular expressions, (3) machine learning, (4) core data science topics, and (5) useful algorithms.ĭetailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills. You’ll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. Python One-Linerswill teach you how to read and write “one-liners”: concise statements of useful functionality packed into a single line of code. Python programmers will improve their computer science skills with these useful one-liners. Python One-Liners Book: Master the Single Line First! The idea is similar but with one difference: you use indexing with a random index on the string of characters c to find a single random character. ![]() Method 2: Random RandintĪ similar but slightly different one-liner is the following: import random as r c = 'abcdefghijklmnopqrstuvwxyz0123456789%^*(-_=+)' print(''.join( for i in range(10)])) On average, an attacker will have to try half the possible number of passwords before finding the correct one. Thus, by increasing the entropy of the password by one bit the number of guesses required doubles, making an attacker’s task twice as difficult. Put another way, a password with an entropy of 42 bits would require 2 42 (4,398,046,511,104) attempts to exhaust all possibilities during a brute force search. A password with an entropy of 42 bits calculated in this way would be as strong as a string of 42 bits chosen randomly, for example by a fair coin toss. Instead of the number of guesses needed to find the password with certainty, the base-2 logarithm of that number is given, which is commonly referred to as the number of “entropy bits” in a password, though this is not exactly the same quantity as information entropy. It is usual in the computer industry to specify password strength in terms of information entropy which is measured in bits and is a concept from information theory. You can measure password strengths with Entropy. Here’s one excellent observation about password strengths: Note: As an alternative, you can also call this one-liner from your operating system using the -c flag of the python command: $ python -c "from random import choice print(''.join())" CAVEAT: Using a Simple Phrase May Be More Secure! □ Here it is - your newly created password! You join together the n=10 characters in the generated list to create a string with 10 characters.You run this character selection routine n=10 times in a list comprehension statement to generate 10 random characters. ![]()
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