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The Python Workbook
Author: Ben Stephenson
Publisher: Springer
ISBN: 3319142402
Pages: 165
Year: 2015-01-22
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While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice. Designed to support and encourage hands-on learning about programming, this student-friendly work contains 174 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight specific points of Python syntax. No background knowledge is required to solve the exercises, beyond the material covered in a typical introductory Python programming course. Undergraduate students undergoing their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs.
The Python Workbook
Author: Ben Stephenson
Publisher: Springer
ISBN: 3319385615
Pages: 165
Year: 2016-10-06
View: 192
Read: 1201
While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice. Designed to support and encourage hands-on learning about programming, this student-friendly work contains 174 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight specific points of Python syntax. No background knowledge is required to solve the exercises, beyond the material covered in a typical introductory Python programming course. Undergraduate students undergoing their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs.
The Python Workbook
Author: Ben Stephenson
Publisher:
ISBN: 3319142410
Pages: 184
Year: 2015-02-28
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Python Data Science Handbook
Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Pages: 548
Year: 2016-11-21
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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
A Python Primer for ArcGIS(r)
Author: Nathan Jennings
Publisher: Createspace Independent Publishing Platform
ISBN: 1505893321
Pages: 118
Year: 2015-01-20
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A Python Primer for ArcGIS(r) Workbook I (1 of 3) The automation of geoprocessing tasks is a common practice among GIS professionals. Python is the standard programming language for ArcGIS and other fields such as remote sensing, GPS, spatial modeling, and statistical analysis. A Python Primer for ArcGIS(r) Workbook series combines fundamental Python programming structures to help professionals automate common geoprocessing functions. Thorough explanations of programming concepts are included along with user-friendly demonstrations that enable readers to develop programs on their own. In addition, chapters contain exercises and questions that aid in the application of each chapter's highlighted principles. Workbook I provides a practical introduction using Python for ArcGIS geoprocessing. Readers will learn some Python basics ending with writing a simple geoprocessing script. Workbook II contains coding strategies for common GIS tasks and processes. Workbook III completes the Workbook series by focusing on Python functions, creating custom Python script tools, Python Add-ins, and script automation. Workbook II can be ordered here:https://www.createspace.com/5215222 Workbook III can be ordered here:https://www.createspace.com/6279064 Follow for changes, updates, and new material: Blog: http://education.urbandalespatial.com/ Twitter: https://twitter.com/urbandalegis
Python for Kids
Author: Jason R. Briggs
Publisher: No Starch Press
ISBN: 1593274076
Pages: 344
Year: 2013
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Introduces the basics of the Python programming language, covering how to use data structures, organize and reuse code, draw shapes and patterns with turtle, and create games and animations with tkinter.
The Spirit of Python
Author: Jentezen Franklin
Publisher: Charisma Media
ISBN: 1621362205
Pages: 232
Year: 2013
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New York Times best-selling author Jentezen Franklin is back with a message that will inspire you to break free and reclaim a life of passion, purpose, and praise.
Learn Python 3 the Hard Way
Author: Zed A. Shaw
Publisher: Addison-Wesley Professional
ISBN: 0134693906
Pages: 320
Year: 2017-06-26
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You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3
Python Crash Course
Author: Eric Matthes
Publisher: No Starch Press
ISBN: 1593277393
Pages: 560
Year: 2015-11-01
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Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you’ll learn how to: –Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal –Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses –Work with data to generate interactive visualizations –Create and customize Web apps and deploy them safely online –Deal with mistakes and errors so you can solve your own programming problems If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3
Data Wrangling with Python
Author: Jacqueline Kazil, Katharine Jarmul
Publisher: "O'Reilly Media, Inc."
ISBN: 1491948779
Pages: 508
Year: 2016-02-04
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How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process
Computer Coding with Javascript
Author:
Publisher: DK Children
ISBN: 1465469370
Pages: 40
Year: 2018-02-06
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"DK Workbooks: Computer Coding" teaches children the basics of computer coding.
Foundations for Analytics with Python
Author: Clinton W. Brownley
Publisher: "O'Reilly Media, Inc."
ISBN: 1491922508
Pages: 356
Year: 2016-08-16
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If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary. Create and run your own Python scripts by learning basic syntax Use Python’s csv module to read and parse CSV files Read multiple Excel worksheets and workbooks with the xlrd module Perform database operations in MySQL or with the mysqlclient module Create Python applications to find specific records, group data, and parse text files Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn Produce summary statistics, and estimate regression and classification models Schedule your scripts to run automatically in both Windows and Mac environments
DK Workbooks: Raspberry Pi Projects Workbook
Author: Dorling Kindersley Publishing Staff
Publisher: DK Children
ISBN: 1465457038
Pages: 40
Year: 2017-03-07
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Get kids building exciting computer projects, including games, music, and website design with DK Workbooks: Raspberry Pi Projects. Perfect for children ages 6-9 who are new to programming, this highly visual workbook is a fun introduction to Raspberry Pi, an affordable credit-card-size computer that is revolutionizing the world of computing. With easy-to-follow directions and fun pixel art, DK Workbooks: Raspberry Pi Projects helps kids understand the basics of computers, programming, and how to create cool projects in Scratch, Python, and Sonic Pi through fun, hands-on learning experiences. All they need is a Raspberry Pi computer, an SD card, an HDMI cable, a USB power supply, and a standard monitor, mouse, and keyboard. After they learn how to program their Raspberry Pi using Scratch, kids can make their own music, design their own website, and build and play their own computer games and projects with Scratch, Python, and Sonic Pi. They can even test their coding knowledge with written vocabulary and programming quizzes at the end of each project. The credit-card-sized Raspberry Pi is revolutionizing technology and can help boost kids' computer skills in a new and innovative way. Supporting STEM education initiatives, computer coding teaches kids how to think creatively, work collaboratively, and reason systematically, and is quickly becoming a necessary and sought-after skill. DK's computer coding books are full of fun exercises with step-by-step guidance, making them the perfect introductory tools for building vital skills in computer programming.
Introduction to Machine Learning with Python
Author: Andreas C. Müller, Sarah Guido
Publisher: "O'Reilly Media, Inc."
ISBN: 1449369898
Pages: 394
Year: 2016-09-26
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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills
Python Programming Fundamentals
Author: Kent D. Lee
Publisher: Springer
ISBN: 1447166426
Pages: 239
Year: 2015-01-07
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This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally. Features: incudes numerous examples and practice exercises throughout the text, with additional exercises, solutions and review questions at the end of each chapter; highlights the patterns which frequently appear when writing programs, reinforcing the application of these patterns for problem-solving through practice exercises; introduces the use of a debugger tool to inspect a program, enabling students to discover for themselves how programs work and enhance their understanding; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides instructional videos and additional information for students, as well as support materials for instructors, at an associated website.