Introduction to Computer Science Using Python
Introduction to Computer Science Using Python: A Computational Problem-Solving Focusintroduces students to programming and computational problem-solving via a back-to-basics, step-by-step, objects-late approach that makes this book easy to teach and learn from. Students are provided with a thorough conceptual grounding in computational problem solving before introducing them to specific Python syntax, thus giving them the background to become successful programmers in any language. Dierbach offers students a thorough grounding in imperative programming before introducing them to object-oriented programming. His step-by-step pedagogical approach makes this an accessible and student-friendly introduction to programming that eases students into program-writing through a variety of hands-on exercises. ...
Introduction to Computer Science Using Python: A Computational Problem-Solving Focusintroduces students to programming and computational problem-solving via a back-to-basics, step-by-step, objects-late approach that makes this book easy to teach and learn from. Students are provided with a thorough conceptual grounding in computational problem solving before introducing them to specific Python syntax, thus giving them the background to become successful programmers in any language. Dierbach offers students a thorough grounding in imperative programming before introducing them to object-oriented programming. His step-by-step pedagogical approach makes this an accessible and student-friendly introduction to programming that eases students into program-writing through a variety of hands-on exercises. ...
Data Structures and Algorithms in Python
Based on the authors' market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors. Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. ...
Based on the authors' market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors. Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. ...
Python & XML
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. ...
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. ...
CherryPy Essentials
CherryPy is a Python library for web development that allows developers to build web applications in the same way as any other object-oriented Python program. Enriched by several years of active development, it has become one of the most established toolkits for building solid and high-performance web applications in Python. CherryPy abstracts the complex low-level HTTP protocol into an easy-to-use interface that respects Python idioms. The library aims at being simple to learn for a beginner while offering the most advanced features to fluent Python developers. For these reasons CherryPy was chosen to be at the heart of the popular and feature-rich TurboGears web framework. CherryPy-powered web applications are stand-alone Python applications with their own embedded multi-threaded web server, but can also run behind Apache or IIS for scalability. ...
CherryPy is a Python library for web development that allows developers to build web applications in the same way as any other object-oriented Python program. Enriched by several years of active development, it has become one of the most established toolkits for building solid and high-performance web applications in Python. CherryPy abstracts the complex low-level HTTP protocol into an easy-to-use interface that respects Python idioms. The library aims at being simple to learn for a beginner while offering the most advanced features to fluent Python developers. For these reasons CherryPy was chosen to be at the heart of the popular and feature-rich TurboGears web framework. CherryPy-powered web applications are stand-alone Python applications with their own embedded multi-threaded web server, but can also run behind Apache or IIS for scalability. ...
Making Use of Python
Python is a multipurpose development language that can be used on virtually every platform. It offers built-in support for critical development steps including data structures, dynamic typing, and dynamic building. It can be used in lieu of Java or C++, and Python scripts can be developed in a fraction of the time it takes to program and debug higher-level languages. Covers language basics and how to use Python for CGI scripting, GUI development, network programming, and much more. Demonstrates why Python is arguably the most sophisticated of the popular scripting languages and why its popularity continues to grow. ...
Python is a multipurpose development language that can be used on virtually every platform. It offers built-in support for critical development steps including data structures, dynamic typing, and dynamic building. It can be used in lieu of Java or C++, and Python scripts can be developed in a fraction of the time it takes to program and debug higher-level languages. Covers language basics and how to use Python for CGI scripting, GUI development, network programming, and much more. Demonstrates why Python is arguably the most sophisticated of the popular scripting languages and why its popularity continues to grow. ...
Think Bayes
If you know how to program with Python and also know a little about probability, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. ...
If you know how to program with Python and also know a little about probability, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. ...
Python and HDF5
Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you'll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you're familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. ...
Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you'll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you're familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. ...
Learning Cython Programming
Cython is a very powerful combination of Python and C. Using Cython, you can write Python code that calls back and forth from and to C or C++ code natively at any point. It is a language with extra syntax allowing for optional static type declarations. It is also a very popular language as it can be used for multicore programming. Learning Cython Programming will provide you with a detailed guide to extending your native applications in pure Python; imagine embedding a twisted web server into your native application with pure Python code. You will also learn how to get your new applications up and running by reusing Python's extensive libraries such as Logging and Config Parser to name a few. ...
Cython is a very powerful combination of Python and C. Using Cython, you can write Python code that calls back and forth from and to C or C++ code natively at any point. It is a language with extra syntax allowing for optional static type declarations. It is also a very popular language as it can be used for multicore programming. Learning Cython Programming will provide you with a detailed guide to extending your native applications in pure Python; imagine embedding a twisted web server into your native application with pure Python code. You will also learn how to get your new applications up and running by reusing Python's extensive libraries such as Logging and Config Parser to name a few. ...
Creating Apps in Kivy
Build mobile apps efficiently with Kivy, the Python-powered graphical toolkit for creating natural user interfaces with elegant multitouch support. With this hands-on guide, you'll learn step-by-step how to build and deploy a complete Kivy app for iOS and Android devices. If you're just beginning to work with Python, but are reasonably familiar with its syntax, you're ready to go. Each chapter includes exercises, using examples that run on Python 3 and Python 2.7. Learn how Kivy simplifies mobile development with its cross-platform API and domain-specific Kv language, and why this free and open source toolkit is ideal for commercial products. ...
Build mobile apps efficiently with Kivy, the Python-powered graphical toolkit for creating natural user interfaces with elegant multitouch support. With this hands-on guide, you'll learn step-by-step how to build and deploy a complete Kivy app for iOS and Android devices. If you're just beginning to work with Python, but are reasonably familiar with its syntax, you're ready to go. Each chapter includes exercises, using examples that run on Python 3 and Python 2.7. Learn how Kivy simplifies mobile development with its cross-platform API and domain-specific Kv language, and why this free and open source toolkit is ideal for commercial products. ...
Practical Programming
Welcome to computer science in the 21st century. Did you ever wonder how computers represent DNA? How they can download a web page containing population data and analyze it to spot trends? Or how they can change the colors in a color photograph? If so, this book is for you. By the time you're done, you'll know how to do all of that and a lot more. And Python makes it easy and fun. ...
Welcome to computer science in the 21st century. Did you ever wonder how computers represent DNA? How they can download a web page containing population data and analyze it to spot trends? Or how they can change the colors in a color photograph? If so, this book is for you. By the time you're done, you'll know how to do all of that and a lot more. And Python makes it easy and fun. ...