Coffee Break Python: 50 Workouts to Kickstart Your Rapid Code Understanding in Python
Authors: Christian Mayer
ISBN-10: 1719846588
ISBN-13: 9781719846585
Released: 2018-09-10
Print Length 页数: 193 pages
How to learn Python during your coffee break?
Coffee Break Python is a new step-by-step system to teach you how to learn Python faster,smarter,and better. You do nothing but solving one practical Python puzzle as you enjoy your morning coffee.
As you work through Coffee Break Python,your Python expertise will grow—one coffee at a time. It’s packed with 50 Python puzzles,10 practical learning tips,5 compressed cheat sheets,and 1 new way to measure your coding skills.
You will train wildly important Python topics such as
Arithmetic operations: integer & float division,and modular arithmetic;
Language elements: branching,loops,keywords,and functions;
Data structures: integer,float,string,list,set,dictionary,and graph;
Sequence operators: indexing,concatenation,slicing,and built-in functions;
Function *arguments: default *,arbitrary *,unpacking *,keyword *;
Set operations: lambda,filter,map,and intersection functions; and
Algorithms: recursion,Fibonacci,matrix search,bubble sort,quick sort,lexicographical sort,guess & check,binary search,and graph traversal.
As a bonus,you will track your individual Python coding skill level throughout the book.
Coffee Break Python: 50 Workouts to Kickstart Your Rapid Code Understanding in Python
未经允许不得转载:finelybook » Coffee Break Python: 50 Workouts to Kickstart Your Rapid Code Understanding in Python
相关推荐
Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning
Ultimate Salesforce LWC Developers’ Handbook: Build Dynamic Experiences, Custom User Interfaces
Ultimate Agile Administration with Jira: Solutions for Agile Project Administration Using Dashboards, Automation Rules, and Plugin Integration with Jira
Category Theory for Programmers
Statistics with Rust: Explore rust programming and its powerful crates across data science, machine learning and NLP projects, 2nd Edition
Introduction to Statistics and Data Analysis for Physicists, 4th Edition