introducing python modern computing in simple packages

Start Reading or Download Introducing Python Modern Computing In Simple Packages in PDF EPUB format. You can Read Online Introducing Python Modern Computing In Simple Packages here in PDF, EPUB, Mobi or Docx formats.

Introducing Python

Author : Bill Lubanovic
ISBN : 9781449361181
Genre : Computers
File Size : 44. 64 MB
Format : PDF, ePub, Mobi
Download : 728
Read : 673

Download Now


Easy to understand and fun to read, 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. Learn simple data types, and basic math and text operations Use data-wrangling techniques with Python’s built-in data structures Explore Python code structure, including the use of functions Write large programs in Python, with modules and packages Dive into objects, classes, and other object-oriented features Examine storage from flat files to relational databases and NoSQL Use Python to build web clients, servers, APIs, and services Manage system tasks such as programs, processes, and threads Understand the basics of concurrency and network programming

Introducing Python

Author : Bill Lubanovic
ISBN : 9781449361198
Genre : Computers
File Size : 38. 40 MB
Format : PDF, ePub
Download : 102
Read : 898

Download Now


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.

Python For Data Analysis

Author : Wes McKinney
ISBN : 9781449319793
Genre : Computers
File Size : 38. 80 MB
Format : PDF, Kindle
Download : 435
Read : 1261

Download Now


Presents case studies and instructions on how to solve data analysis problems using Python.

Learning Python

Author : Mark Lutz
ISBN : 9781449355692
Genre : Computers
File Size : 40. 88 MB
Format : PDF, Kindle
Download : 912
Read : 804

Download Now


Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

Introduction To Programming In Python

Author : Robert Sedgewick
ISBN : 9780134076522
Genre : Computers
File Size : 70. 60 MB
Format : PDF, ePub, Docs
Download : 142
Read : 152

Download Now


Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.

Best Practices In Data Cleaning

Author : Jason W. Osborne
ISBN : 9781412988018
Genre : Reference
File Size : 79. 32 MB
Format : PDF, Kindle
Download : 765
Read : 210

Download Now


Many researchers jump from data collection directly into testing hypothesis without realizing these tests can go profoundly wrong without clean data. This book provides a clear, accessible, step-by-step process of important best practices in preparing for data collection, testing assumptions, and examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of the handbook Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are evidence-based and will motivate change in practice by empirically demonstrating—for each topic—the benefits of following best practices and the potential consequences of not following these guidelines.

Writing Gnu Emacs Extensions

Author : Bob Glickstein
ISBN : 9781449399733
Genre : Computers
File Size : 43. 3 MB
Format : PDF, ePub, Docs
Download : 546
Read : 870

Download Now


Yes, it is possible to be all things to all people, if you're talking about the Emacs editor. As a user, you can make any kind of customization you want, from choosing the keystrokes that invoke your favorite commands to creating a whole new work environment that looks like nothing ever developed before. It's all in Emacs Lisp -- and in this short but fast-paced book.GNU Emacs is more than an editor; it's a programming environment, a communications package, and many other things. To provide such a broad range of functions, it offers a full version of the Lisp programming language -- something much more powerful than the little macro languages provided in other editors (including older versions of Emacs). GNU Emacs is a framework in which you can create whole new kinds of editors or just alter aspects of the many functions it already provides.In this book, Bob Glickstein delves deep into the features that permit far-reaching Emacs customizations. He teaches you the Lisp language and discusses Emacs topics (such as syntax tables and macro templates) in easy-to-digest portions. Examples progress in complexity from simple customizations to extensive major modes.You will learn how to write interactive commands, use hooks and advice, perform error recovery, manipulate windows, buffers, and keymaps, exploit and alter Emacs's main loop, and more. Each topic is explored through realistic examples and a series of successive refinements that illustrate not only the Emacs Lisp language, but the development process as well, making learning pleasant and natural.

Top Download:

Best Books