Coffee Break Python


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Coffee Break Python


Coffee Break Python

Author: Christian Mayer

language: en

Publisher:

Release Date: 2018-09-10


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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. Why should you care about puzzle-based learning? Educational research shows that practical low-stake puzzles and tests help you to learn faster, smarter, and better. We used this for coding in Coffee Break Python and our academy Finxter.com. 13,000 online Python students have already improved their coding skills with our unique puzzle-based learning technique: "I very much enjoy your Finxter.com website because it has some real meat to the problems. Thank you so much for doing this project! I love it!" --David C. "Your site is awesome." --Victor A. "I found Finxter.com an excellent tool to brush up on my Python skills. I totally love the setup of playing against the questions - such a wonderful idea --Jesper R. Why should you read this book? 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. Who should read this book? You are slightly beyond beginner-level in Python. For example, You have already experience with another programming language--it's time to tackle Python. You are a professional engineer and want to brush up your Python skills. You are a student and need to get better at Python for academic courses. So how do you spend your Coffee Break? Python!

Coffee Break NumPy


Coffee Break NumPy

Author: Lukas Rieger

language: en

Publisher:

Release Date: 2019-06-28


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Fear of missing out in data science? Coffee Break NumPy is a new step-by-step system to teach you how to learn Python's library for data science faster, smarter, and better. You simply solve practical Python NumPy puzzles as you enjoy your morning coffee. Educational research shows that practical low-stake puzzles and tests help you to learn faster, smarter, and better. Over 100,000 online Python students have already improved their coding and NumPy skills with the unique Finxter.com puzzle-based learning technique: "It has some real meat to the problems. Thank you so much for doing this project! I love it!" --David C. "Another great little Python book from Christian and his colleagues. As a practitioner in this field, I really appreciate the focus on real-world problems. I can see my coffee breaks will be full for some time to come!" --Chris C. As you work through Coffee Break NumPy, your NumPy expertise will grow--one coffee at a time. It's packed with 46 NumPy puzzles, 10 practical learning tips, 1 compressed cheat sheets, and 1 new way to measure your coding skills. You will train wildly important NumPy topics such as NumPy Arrays: creating, basic array arithmetic, one- and multi-dimensional Data Types: float, integer, mixed, access, conversion Shape and Reshape: manipulating, accessing, axis argument Broadcasting: element-wise operations Indexing and Advanced Indexing: filtering, Boolean indexing, list indexing Slicing: one-dimensional, multi-dimensional, NumPy-specifics As a bonus, you will track your individual Python coding skill level throughout the book. To get most out of this book, you already have basic Python skills. For example, you've read my book "Coffee Break Python" or similar introductory Python material. So how do you spend your Coffee Break? Python!

Python One-Liners


Python One-Liners

Author: Christian Mayer

language: en

Publisher: No Starch Press

Release Date: 2020-05-12


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Python programmers will improve their computer science skills with these useful one-liners. Python One-Liners will teach you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. The book's five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills. You'll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. You'll also learn how to: • Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution • Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics • Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning • Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators • Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting By the end of the book, you'll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.