This book includes: Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more A detailed case study of porting a major library ...
Author: Mark Pilgrim
Mark Pilgrim's Dive Into Python 3 is a hands-on guide to Python 3 and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end. This book includes: Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more A detailed case study of porting a major library from Python 2 to Python 3 A comprehensive appendix of all the syntactic and semantic changes in Python 3 This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.
* Quick start to learning python—very example oriented approach * Book has its own Web site established by the author: http://diveintopython.org/ Author is well known in the Open Source community and the book has a unique quick approach ...
Author: Mark Pilgrim
* Quick start to learning python—very example oriented approach * Book has its own Web site established by the author: http://diveintopython.org/ Author is well known in the Open Source community and the book has a unique quick approach to learning an object oriented language.
... Francisco, CA: No Starch Press, 2015. This is an approachable introductory
text for Python 3 and programming generally. ... This classic book on Python 2 is
also available for free on the web at diveintopython.net. PILGRIM, MARK. Dive Into ...
Author: Evi Nemeth
Publisher: Addison-Wesley Professional
“As an author, editor, and publisher, I never paid much attention to the competition—except in a few cases. This is one of those cases. The UNIX System Administration Handbook is one of the few books we ever measured ourselves against.” —Tim O’Reilly, founder of O’Reilly Media “This edition is for those whose systems live in the cloud or in virtualized data centers; those whose administrative work largely takes the form of automation and configuration source code; those who collaborate closely with developers, network engineers, compliance officers, and all the other worker bees who inhabit the modern hive.” —Paul Vixie, Internet Hall of Fame-recognized innovator and founder of ISC and Farsight Security “This book is fun and functional as a desktop reference. If you use UNIX and Linux systems, you need this book in your short-reach library. It covers a bit of the systems’ history but doesn’t bloviate. It’s just straight-forward information delivered in a colorful and memorable fashion.” —Jason A. Nunnelley UNIX® and Linux® System Administration Handbook, Fifth Edition, is today’s definitive guide to installing, configuring, and maintaining any UNIX or Linux system, including systems that supply core Internet and cloud infrastructure. Updated for new distributions and cloud environments, this comprehensive guide covers best practices for every facet of system administration, including storage management, network design and administration, security, web hosting, automation, configuration management, performance analysis, virtualization, DNS, security, and the management of IT service organizations. The authors—world-class, hands-on technologists—offer indispensable new coverage of cloud platforms, the DevOps philosophy, continuous deployment, containerization, monitoring, and many other essential topics. Whatever your role in running systems and networks built on UNIX or Linux, this conversational, well-written ¿guide will improve your efficiency and help solve your knottiest problems.
Although somewhat outdated and since replaced by Dive Into Python 3 (APRESS
, 2009), Dive Into Python by Mark Pilgrim (APRESS, 2004) does a good job of
addressing the basics of writing programs in Python. It's available for free ...
Author: Eben Upton
Publisher: John Wiley & Sons
Presents information on computing and programming with Raspberry Pi. Original.
Its name is Python 3.X , where X is the version of Python 3 that you installed . In
the Windows search bar , type Python . When the application appears , click it to
open a Python console . You can enter Python commands in this console , and ...
Author: Bradford Tuckfield
Algorithms for the Adventurous is a thorough introduction to algorithms. Readers learn about many standard computer science algorithms including ones for searching, sorting, and optimisation as well as newer ones used in machine learning and artificial intelligence. Readers also learn how to understand ''real life'' algorithms, and need little more than high school math to understand an algorithm and the Python code needed to implement the algorithm.
Author: Philipp WeitershausenPublish On: 2007-01-25
Zope 3 Coding standards. Zope development home <http://dev.zope. org/Zope3/
CodingStyle> 3. Ward G, Baxter A, (2006) Distributing Python Modules. Python
website <http://docs.python.org/dist/dist.html> 4. diveintopython.org> 5. (2003) ...
Author: Philipp Weitershausen
Publisher: Springer Science & Business Media
The concepts of Zope 3 and its component architecture are explained thoroughly, continually accompanied by a demo application. Special sections for Zope 2 developers cover the basic differences to the predecessor.
For example, like in the case of chatbots that have been developed to help with customer service. Download the Machine Learning in Python book to join the people shaping the future of work.
Author: Sarah ANDREAS
Artificial Intelligence is the future no doubt! This why serious corporations all over the world are investing heavily in Artificial Intelligence and automation. Machine Learning is a branch of Artificial Intelligence that most companies are interested in. Python is the most commonly used program in Machine Learning and Artificial Intelligence. This means that mastering Python to an advanced level will give you an edge over your competitors if you're a programmer or a machine trainer. Most books and courses out there just focus on teaching an aspect of Machine Learning. The "Machine Learning in Python" book is a comprehensive course that introduces you to Python, teach you the basic concepts, before progressing to advanced principles. Download the "Machine Learning in Python" book to start using Artificial Intelligence like a pro. To help you make your mind, let us give you a sneak preview of the great staff the e-book teaches you. What You Learn from the "Machine Learning in Python" Book Introduction to Python Python as An Element of Machine Learning What Python Has to Offer Data Variations in Python Python Operations Python Loops Python Mathematical Functions Neural Kernel Partitions By the end of the book, you'll have mastered: The fundamentals of python programming language. The necessary python skills to enable you specialize in machine learning. The ability to create your own machine learning programs. The understanding of python 2 and python 3 in machine learning. The skills and understanding needed to apply for machine learning jobs. Machine Learning is a new technological development with vast opportunities. Downloading the book will make you join the thousands who've taken a keen interest in Machine Learning. Remember, people who learn a new technology or skill the first benefit the most. Companies are constantly looking for techies with a mastery of Machine Learning because it's the big data era. Modern technology-based companies have lots of functions and processes. Machine Learning helps companies to manage different processes by training a machine to calculate and make logical moves like a human. This means that Machine Learning in python can be used to completely automate certain functions without human intervention. For example, like in the case of chatbots that have been developed to help with customer service. Download the Machine Learning in Python book to join the people shaping the future of work.
Open the Python file to further understand the usage of PWM to control the speed
of the DC motor. The custom ... After initialization, we are assigning the mode of
the digital pin 3 as PWM, which can be seen from the utilization of the get_ pin('d: 3:p') method. ...  Diving into Python-Arduino Prototyping The Python code.
Author: Pratik Desai
Publisher: Packt Publishing Ltd
This is the book for you if you are a student, hobbyist, developer, or designer with little or no programming and hardware prototyping experience, and you want to develop IoT applications. If you are a software developer or a hardware designer and want to create connected devices applications, then this book will help you get started.
Xcode Integrated Development Environment (IDE) The Xcode integrated
development environment (IDE) supports many programming languages
including Java, C++, C, Python and ... You'll start using Xcode to develop apps in
Author: Paul Deitel
Publisher: Prentice Hall
The programmer’s quick-start guide to iOS app development using iOS SDK 6, Cocoa Touch®, Xcode® 4.5 and the latest Objective-C® version and idioms! Dive into iOS 6 programming with this brief introduction for new iOS developers! This five-chapter e-book gets you started developing great iPhone and iPad apps quickly and publishing them on Apple’s App Store. It’s ideal for people familiar with object-oriented programming in Java, C++, C# or Objective-C (an Objective-C background is not required). The three programming chapters include a simple visual programming app and two code-based apps presented using the Deitels’ signature app-driven approach—each technology is discussed in the context of a fully developed iOS app, complete with syntax coloring, code walkthroughs and sample outputs. Topics covered in this e-book include: iOS® App Development • iOS 6, Xcode 4.5, Interface Builder, Objective-C, Cocoa Touch®, iOS Simulator • Storyboarding, Segues, Auto Layout, Accessibility, Internationalization • Application Templates, Universal Apps • Social Framework, iCloud Key-Value Storage, Automatic Reference Counting (ARC), Collections, iOS Defaults System • GUI, Views, View Controllers, Outlets, Actions, Event Handling Fully Developed Apps • Welcome, Tip Calculator, Favorite Twitter® Searches App Business Issues • iOS Developer Program, App Store, Submitting Apps, iTunes Connect • What Makes a Great App • Monetization, Pricing (Free vs. Fee), In-App Purchase, , Selling Virtual Goods • Marketing, iAd Network, Advertising
http://www.python.org . 3. M. Lutz , Programming Python , O'Reilly Media , 3 ed . ,
2006 . 4. M. Pilgrim , Dive Into Python , Apress , 2004 . 5. A. Downey , J. Elkner ,
and C. Meyers , How to Think Like a Computer Scientist : Learning with Python ...
Foundations of Python Matt Harrison Shannon -jj Behrens. Note (cont.) ... 'xrange'
, 'zip'] Note In Python3 the __builtin__ module is renamed to builtins. Tip Here are
built-ins that would be good variable names otherwise: • dict • file • id • list • open
• str • sum • type More about objects This chapter will dive into objects a. 26 . BT.
Author: Matt Harrison
Publisher: Matt Harrison
Treading on Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.
Programmers familiar with Clojure can match Python's lazy generators with the
lazy-seq and lazy-cat functions. The idea is that we can specify a ... We'll dive into
details in Chapter 6, Recursions and Reductions. Instead of the formality of using
Author: Steven Lott
Publisher: Packt Publishing Ltd
This book is for developers who want to use Python to write programs that lean heavily on functional programming design patterns. You should be comfortable with Python programming, but no knowledge of functional programming paradigms is needed.
The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples.
Author: Chitra Vasudevan
Publisher: BPB Publications
The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity of the programming examples, logic is explained properly as well as discussed by using comments in the program itself. The book covers the topics right from the start of the software by using coding in software and writing programs into it. The book features more on practical approach with more examples covering topics from simple to complex one addressing many of the core concepts and advanced topics also. Key Features Basics concepts of PyTorch like CNN architecture, RNN architecture are discussed in a detailed manner.The worked out case studies are also dealt in a detailed manner.Each and every chapter concludes with the observations of PyTorch to facilitate a better understanding of PyTorchAbundant worked out coding examples.Highly self-explanatory and user-friendly approach This book will "e;need to have"e; title for various reasons as articulated below. Gaining Customers by adopting and implementing PyTorch in / projects/programs and in Research Departments.Help in sustaining Customer Relationships as the core of all successful working relationships are two essential characteristics: trust and commitment. To demonstrate their trustworthiness and commitment to customers, progressive suppliers periodically provide evidence to customers of their accomplishments. Help in delivering "e;Superior Value and Getting an Equitable Return"e; as an understanding value in business markets and doing business based on value delivered gives suppliers the means to get an equitable return for their efforts. The essence of customer value management is to deliver superior value and get an equitable return for it, both of which depend on the value of assessment.ContentsIntroduction to PyTorchLinear RegressionConvolution Neural Network (CNN) Recurrent Neural Networks (RNN)PyTorch Datasets
... Dive Into Python at http://diveintopython.org . ) Listing Two imports the modules
unittest , Binary , and Invalid BinaryError in lines 1 , 2 , and 3 , respectively . The
import format on line 1 requires all uses of the imported module be prefixed with ...
Author: Christopher A. JonesPublish On: 2001-12-18
XML Processing with Python Christopher A. Jones, Fred L. Drake Jr.
replaceChild( ... Example 4-4 uses a few nested loops to dive three levels deep into an XML document created using the index.py script from Example 3-4. The
design has its ...
Author: Christopher A. Jones
Publisher: "O'Reilly Media, Inc."
If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet, because it is object-oriented and has powerful text manipulation abilities, Python is an ideal language for manipulating XML.Python & XML gives you a solid foundation for using these two languages together. Loaded with practical examples, this new volume highlights common application tasks, so that you can learn by doing. The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers).The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. You will find ample coverage of XML flow analysis and details on ways in which you can transport XML through your network.Whether you are using Python as an application language, or as an administrative or middleware scripting language, you are sure to benefit from this book. If you want to use Python to manipulate XML, this is your guide.
AY MABOR , MI 48109 - 2094 3 9015 06411 9426 License Agreement / Notice of
Limited Warranty By opening the sealed disk container in this book , you agree to
the following ... Dive into Python , with minimum explanation and maximum code.
Author: Tim Altom
Publisher: Premier Press
This book offers practical applications and code to help users get up to speed with this innovative programming language. By providing recipes of Python programs and scripts, users are able to get their programs running faster with less hassle. CD features Python code, programs and full a text version of the book.
The redraw_callback ( ) function is described in Section 5.3 and the
event_callback function in Sections 5.2.2 and 5.2.3 . Now , let's dive into the three
approaches on programming keyboard keys . 5.2.1 Binding a Keycode to a
Author: Jürgen Scheible
Publisher: John Wiley & Sons Incorporated
Mobile Python is the introduction of Python programming language to the mobile space. This practical hands-on book teaches readers how to realize their application ideas on the Symbian OS. Programming on the Symbian mobile platform has been difficult and time consuming in the past. This innovative new title will remedy this problem. Chapters deal with topics that are based on Python S60 features and presented in an order that lets the user learn first the “simple to code” ones and then increasing in complexity.
Buy this book if you have made up your mind to read it and practice it again and again. This book will compel you to step into the practical world. What makes this book different from the other books is its specific features and contents.
Author: Robert C. Matthews
Publisher: Greenwich Publishing
The Complete 3 Book Series on Coding with Python Book 1 This book is for those that are ready to start working right away to write your own codes. Tech books are different from novels and other non-fiction books. They demand more than merely one reading. Buy this book if you have made up your mind to read it and practice it again and again. This book will compel you to step into the practical world. What makes this book different from the other books is its specific features and contents. Let’s take a look at both. Features of the book: • Practicality • Easy-to-digest • Clarity of concepts • Simplicity of communication • Clear examples You’ll discover… • Python installation process • Python data types • Python lists • Python tuples • Python if, if-else, if-elif statements • Python dictionaries and dictionary constructors • Python functions • Python for and while loops • Python input function • Python classes, child classes, import functions • And more! Book 2 This book will take you for a ride into the amazing world of Python. Buy this book if you’re ready to dive in and try out the practical codes I’ve written for you. Here are the topics we’ll explore together: • Python Data Types • Python Lists • Python Tuples • Python Dictionaries • Python for and while Loops • Python Conditional Statements • Python Functions • Python Object-Oriented Programming If you want to learn useful tips and tricks to become a Python programming success, and you’re ready to dive right in, then this is the book for you! Book 3 Many advanced guides on the internet tell you about fancy tricks and advanced concepts when working with Python. But the truth of the matter is that there are no ‘advanced’ concepts in programming with Python. The only concept that can be introduced as advanced at this point is the complexity of implementing different elements during coding. Many books ambiguously present their own ‘advanced’ versions of the same concept being learned at the beginner and intermediate level. In this book, the focus is not on simply ‘concepts’ alone. On the contrary, you will find that the majority of the book focuses on practical applications. We’ll implement what you have learned when you initially began your journey of learning Python programming to explain an entirely new perspective of accomplishing tasks with greater effectiveness and efficiency. The main hurdle in programming is encountering unexpected errors and not knowing how to handle them because of inexperience. This book addresses such problems and ensures that you will be able to create a fully-fledged application on your own and even handle the distribution process. Here’s a quick run-down of what this book features: • Emphasis on practical instead of theoretical concepts. • Elaboration of code examples. • Introduction of advanced implementation practices. • A friendly tone and easy to understand explanations and examples. • Limited use of jargon and complex theory • Focus on tasks that you will most likely end up doing, such as creating packages, building applications, etc. If you’re interested in learning to master the skills of Python then this is the book for you.
Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management.
Author: Silas Toms
Publisher: Packt Publishing Ltd
Explore GIS processing and learn to work with various tools and libraries in Python. Key Features Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas Leverage new ArcGIS API to process geospatial data for the cloud. Explore various Python geospatial web and machine learning frameworks. Book Description Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. What you will learn Manage code libraries and abstract geospatial analysis techniques using Python 3. Explore popular code libraries that perform specific tasks for geospatial analysis. Utilize code libraries for data conversion, data management, web maps, and REST API creation. Learn techniques related to processing geospatial data in the cloud. Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. Who this book is for The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3.