Introducing Python

Annotation With 'Introducing Python', Bill Lubanovic brings years of knowledge as a programmer, system administrator and author to a book of impressive depth that's fun to read and simple enough for non-programmers to use.

Author: Bill Lubanovic

Publisher: "O'Reilly Media, Inc."

ISBN: 9781449361198

Category: Computers

Page: 484

View: 887


Annotation With 'Introducing Python', Bill Lubanovic brings years of knowledge as a programmer, system administrator and author to a book of impressive depth that's fun to read and simple enough for non-programmers to use. Along with providing a strong foundation in the language itself, Lubanovic shows you how to use Python for a range of applications in business, science and the arts, drawing on the rich collection of open source packages developed by Python fans.

Introducing Python

Modern Computing in Simple Packages Bill Lubanovic. SEditeioco n n d Introducing Python Modern Computing in Simple Packages SECOND EDITION Introducing Python Modern Computing in Simple Packages Bill. Bill Lubanovic Cover.

Author: Bill Lubanovic

Publisher: O'Reilly Media

ISBN: 9781492051343

Category: Computers

Page: 630

View: 826


Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.

Introduction to Python in Earth Science Data Analysis

Lubanovic B (2019) Introducing Python: modern computing in simple packages. O'Reilly Media, Inc 10. Matthes E (2019) Python crash course: a hands-on, project-based introduction to programming. No Starch Press 11. 12.

Author: Maurizio Petrelli

Publisher: Springer Nature

ISBN: 9783030780555

Category: Science

Page: 229

View: 320


This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.

Marketing Data Science

Modeling Techniques in Predictive Analytics with R and Python Thomas W. Miller ... 2014. ... Introducing Python: Modern Computing in Simple Packages.

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 9780133887341

Category: Business & Economics

Page: 225

View: 528


Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Exploring Raspberry Pi

Scott Meyers, Effective Modern C++, O'Reilly Media, 2014,978-1-4919-0399-5. □ Bill Lubanovic, Introducing Python: Modern Computing in Simple Packages, O'Reilly Media, 2014, 978-1-4493-5936-2. □ Michael Kerrisk, The Linux Programming ...

Author: Derek Molloy

Publisher: John Wiley & Sons

ISBN: 9781119188681

Category: Computers

Page: 720

View: 309


Expand Raspberry Pi capabilities with fundamental engineering principles Exploring Raspberry Pi is the innovators guide to bringing Raspberry Pi to life. This book favors engineering principles over a 'recipe' approach to give you the skills you need to design and build your own projects. You'll understand the fundamental principles in a way that transfers to any type of electronics, electronic modules, or external peripherals, using a "learning by doing" approach that caters to both beginners and experts. The book begins with basic Linux and programming skills, and helps you stock your inventory with common parts and supplies. Next, you'll learn how to make parts work together to achieve the goals of your project, no matter what type of components you use. The companion website provides a full repository that structures all of the code and scripts, along with links to video tutorials and supplementary content that takes you deeper into your project. The Raspberry Pi's most famous feature is its adaptability. It can be used for thousands of electronic applications, and using the Linux OS expands the functionality even more. This book helps you get the most from your Raspberry Pi, but it also gives you the fundamental engineering skills you need to incorporate any electronics into any project. Develop the Linux and programming skills you need to build basic applications Build your inventory of parts so you can always "make it work" Understand interfacing, controlling, and communicating with almost any component Explore advanced applications with video, audio, real-world interactions, and more Be free to adapt and create with Exploring Raspberry Pi.

Python 101 Python Basics for Beginners

This book is targeted at beginners who either know a little programming but not the Python language and its ecosystem, as well as complete beginners. If you don’t have a Computer Science degree, don’t worry.

Author: Jérémy BRANDT

Publisher: Digital Academy

ISBN: 9798440282926

Category: Computers

Page: 513

View: 580


Python Basics: A Practical Introduction to Python 3 Your Complete Python Curriculum — With Exercises, Interactive Quizzes, and Sample Projects. Hello and welcome to Python 101: A Practical Introduction to Python 3 for Beginners. Are you ready to learn Why so many professional and hobbyist developers are drawn to Python - and How you can begin using it on your own projects, too?! This book is targeted at beginners who either know a little programming but not the Python language and its ecosystem, as well as complete beginners. If you don’t have a Computer Science degree, don’t worry. I will guide you through the important computing concepts while teaching you the Python basics. --- What should you learn about Python in the beginning to get a strong foundation? With Python 101, you will NOT only cover the core concepts you really need to know, but you will also learn them in the most efficient order - with the help of a few quizzes, practical exercises and projects. You will know enough to be good with Python, pretty fast! Who Should Read This Book? If you are new to Python, you’ll get a practical, step-by-step roadmap on developing your foundational skills. You’ll be introduced to each concept and language feature in a logical order. Every step in this curriculum is explained and illustrated with short and clear code samples. My goal with this book is to educate you, not to impress or intimidate. If you are familiar with some basic programming concepts, you will get a clear and well-tested introduction to Python. This is a practical introduction to Python that jumps right into real-world examples If you have any prior experience with languages like VBA, PowerShell, R, Perl, C, C++, C#, Java or Swift, the numerous exercises within each chapter will fast-track your progress. If you’re a seasoned developer, you’ll get a Python 3 crash course that brings you up to speed with modern Python programming. Mix and match the chapters that interest you the most and use the interactive quizzes and review exercises to check your learning progress as you go along. If you’re a self-starter completely new to coding, you’ll get practical and motivating examples. You’ll begin by installing Python and setting up a coding environment on your computer from scratch, and then continue from there. We’ll get you coding right away so that you become competent and knowledgeable enough to solve real-world problems, fast. Develop a passion for programming by solving interesting problems with Python every day! If you’re looking to break into a coding or data-science career, you’ll pick up the practical foundations with this book. We won’t just dump a boat load of theoretical information on you so you can “sink or swim” — instead, you’ll learn from hands-on, practical examples one step at a time. Each concept is broken down for you so you’ll always know what you can do with it in practical terms. If you’re interested in teaching others “how to Python", this will be your guidebook. If you’re looking to stoke the coding flame in your coworkers, kids, or relatives — use our material to teach them. All the sequencing has been done for you so you’ll always know what to cover next and how to explain it.

Introduction to Computing and Programming in Python

If your display was really large and everything had to be repainted with every update, then maybe a faster processor would make a difference you could perceive. But I think most modern computers update so quickly that you just wouldn't ...

Author: Mark Guzdial

Publisher: Prentice Hall

ISBN: 9780131176553

Category: Computers

Page: 378

View: 397


Guzdial introduces programming as a way of creating and manipulating mediaa context familiar and intriguing to today's readers.Starts readers with actual programming early on. Puts programming in a relevant context (Computing for Communications). Includes implementing Photoshop-like effects, reversing/splicing sounds, creating animations. Acknowledges that readers in this audience care about the Web; introduces HTML and covers writing programs that generate HTML. Uses the Web as a Data Source; shows readers how to read from files, but also how to write programs to directly read Web pages and distill information from there for use in other calculations, other Web pages, etc. (examples include temperature from a weather page, stock prices from a financials page).A comprehensive guide for anyone interested in learning the basics of programming with one of the best web languages, Python.

Mastering Concurrency in Python

This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.

Author: Quan Nguyen


ISBN: 1789343054

Category: Computers

Page: 446

View: 425


Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Key Features Explore the core syntaxes, language features and modern patterns of concurrency in Python Understand how to use concurrency to keep data consistent and applications responsive Utilize application scaffolding to design highly-scalable programs Book Description Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language What you will learn Explore the concepts of concurrency in programming Explore the core syntax and features that enable concurrency in Python Understand the correct way to implement concurrency Abstract methods to keep the data consistent in your program Analyze problems commonly faced in concurrent programming Use application scaffolding to design highly-scalable programs Who this book is for This book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed.

Python for Data Analysis

You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python.

Author: Wes McKinney

Publisher: "O'Reilly Media, Inc."

ISBN: 9781491957639

Category: Computers

Page: 550

View: 144


Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples