Coffee Break NumPy PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Coffee Break NumPy PDF full book. Access full book title Coffee Break NumPy by Lukas Rieger. Download full books in PDF and EPUB format.
Author: Lukas Rieger
Publisher:
ISBN: 9781076932617
Category :
Languages : en
Pages : 219
Get Book Here
Book Description
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!
Author: Lukas Rieger
Publisher:
ISBN: 9781076932617
Category :
Languages : en
Pages : 219
Get Book Here
Book Description
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!
Author: Christian Mayer
Publisher:
ISBN: 9781719846585
Category :
Languages : en
Pages : 193
Get Book Here
Book Description
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!
Author: Christian Mayer
Publisher: No Starch Press
ISBN: 1718500513
Category : Computers
Languages : en
Pages : 217
Get Book Here
Book Description
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.
Author: Lukas Rieger
Publisher:
ISBN: 9781086596465
Category :
Languages : en
Pages : 295
Get Book Here
Book Description
This book is the chess grandmaster way of learning Python. It offers you 127 unique and brand-new Python puzzles. Every puzzle points to gaps in your knowledge, challenges you to guess a solution, and then explains potential solutions, in an easy-to-understand manner: ~~~ # Here's one example puzzle: my_list = [1, 1, 1, 1] my_list[1::2] = [2, 3] print(my_list) # What's the output of this code snippet? ~~~ An easy, fun, and effective way of learning Python -- day after day -- in your COFFEE BREAK PYTHON! Here's what research says about puzzle-based learning: "Students who were quizzed after studying a short text could recall significantly more information than students who were asked to reread it" -- Karpicke, 2007, Elsevier Journal of Memory and Language Practice testing is scientifically proven to generate up to 44% better learning retention and efficiency. Simply put: quizzes and puzzles work! More than 100,000 Finxters and thousands of "Coffee Break Python" book customers have already successfully improved their skills with code puzzles. Learning does not happen in a linear and orderly manner. It's a probabilistic, chaotic, and iterative process of creating knowledge gaps in your brain -- and filling them with just the right information you need. That's the premise of the "Coffee Break Python" textbook series. What will you get out of the book? Improve your level of deep Python code understanding. Surprise your peers with your newly acquired code speed reading skills. Enjoy the small daily doses of intellectual challenges. A Finxter once called it "Sudoku for coders"! ;) Improve your brain's working memory by hammering down the most important concepts. Learn all the basic Python syntax elements. Discover your own skill level by tracking your puzzle-solving performance. Compare your skill level against other coders: are you a grandmaster of code? Enjoy the fun of rushing over Python -- from "hello world" to "recursive Quicksort". Get the best of all Finxter Python cheat sheets to revive 80% of the Python features in 20% of the time. Get your dream job and rock future code interviews! And take one step forward mastering the most popular programming language ON THE PLANET!
Author: John C. Shovic
Publisher: John Wiley & Sons
ISBN: 1119557615
Category : Computers
Languages : en
Pages : 911
Get Book Here
Book Description
Your one-stop resource on all things Python Thanks to its flexibility, Python has grown to become one of the most popular programming languages in the world. Developers use Python in app development, web development, data science, machine learning, and even in coding education classes. There's almost no type of project that Python can't make better. From creating apps to building complex websites to sorting big data, Python provides a way to get the work done. Python All-in-One For Dummies offers a starting point for those new to coding by explaining the basics of Python and demonstrating how it’s used in a variety of applications. Covers the basics of the language Explains its syntax through application in high-profile industries Shows how Python can be applied to projects in enterprise Delves into major undertakings including artificial intelligence, physical computing, machine learning, robotics and data analysis This book is perfect for anyone new to coding as well as experienced coders interested in adding Python to their toolbox.
Author: Chris Albon
Publisher: "O'Reilly Media, Inc."
ISBN: 1491989335
Category : Computers
Languages : en
Pages : 285
Get Book Here
Book Description
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics. Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications. You’ll find recipes for: Vectors, matrices, and arrays Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Support vector machines (SVM), naïve Bayes, clustering, and neural networks Saving and loading trained models
Author: Joel Grus
Publisher: "O'Reilly Media, Inc."
ISBN: 1491904399
Category : Computers
Languages : en
Pages : 336
Get Book Here
Book Description
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
Author: Anthony Scopatz
Publisher: "O'Reilly Media, Inc."
ISBN: 1491901586
Category : Science
Languages : en
Pages : 567
Get Book Here
Book Description
More physicists today are taking on the role of software developer as part of their research, but software development isnâ??t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. Youâ??ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures
Author: Rick van Hattem
Publisher: Packt Publishing Ltd
ISBN: 1785289136
Category : Computers
Languages : en
Pages : 486
Get Book Here
Book Description
Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers About This Book Become familiar with the most important and advanced parts of the Python code style Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language Offers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examples Who This Book Is For Almost anyone can learn to write working script and create high quality code but they might lack a structured understanding of what it means to be 'Pythonic'. If you are a Python programmer who wants to code efficiently by getting the syntax and usage of a few intricate Python techniques exactly right, this book is for you. What You Will Learn Create a virtualenv and start a new project Understand how and when to use the functional programming paradigm Get familiar with the different ways the decorators can be written in Understand the power of generators and coroutines without digressing into lambda calculus Create metaclasses and how it makes working with Python far easier Generate HTML documentation out of documents and code using Sphinx Learn how to track and optimize application performance, both memory and cpu Use the multiprocessing library, not just locally but also across multiple machines Get a basic understanding of packaging and creating your own libraries/applications In Detail Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Even if you find writing Python code easy, writing code that is efficient, easy to maintain, and reuse is not so straightforward. This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers. You will also get familiar with different testing systems such as py.test, doctest, and unittest, and debugging tools such as Python debugger and faulthandler. You will learn to optimize application performance so that it works efficiently across multiple machines and Python versions. Finally, it will teach you how to access C functions with a simple Python call. By the end of the book, you will be able to write more advanced scripts and take on bigger challenges. Style and Approach This book is a comprehensive guide that covers advanced features of the Python language, and communicate them with an authoritative understanding of the underlying rationale for how, when, and why to use them.
Author: Dan Bader
Publisher: Dan Bader
ISBN: 9781775093305
Category : Computers
Languages : en
Pages : 302
Get Book Here
Book Description
"I don't even feel like I've scratched the surface of what I can do with Python" With Python Tricks: The Book you'll discover Python's best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative. You'll get one step closer to mastering Python, so you can write beautiful and idiomatic code that comes to you naturally. Learning the ins and outs of Python is difficult-and with this book you'll be able to focus on the practical skills that really matter. Discover the "hidden gold" in Python's standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you're wondering which lesser known parts in Python you should know about, you'll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers' minds in your next code review. If you've got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you've worked with other programming languages and you want to get up to speed with Python, you'll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you'll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." - Mariatta Wijaya, Python Core Developer "This book makes you write better Python code!" - Bob Belderbos, Software Developer at Oracle "Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." - Ben Felder, Pythonista "It's like having a seasoned tutor explaining, well, tricks!" - Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.
