Search results for "handbook of computer programming with python"
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Scientific Scripting with Python
Learn how to automate your scientific research with Python. This book teaches you the basics of the popular Python scripting language, before delving deep into all aspects of processing data. Python is a simple, yet powerful, programming language similar to Perl, Tcl, and Ruby. It is heavily used in scientific research, and by companies like Google. This book places a strong emphasis on practical techniques for handling data. Although targeted specifically at scientists and engineers, anyone who needs to automate their work flow would find it useful.
R 1,215.56
R 763.00
Programming with 64-Bit ARM Assembly Language
Mastering ARM hardware architecture opens a world of programming for nearly all phones and tablets including the iPhone/iPad and most Android phones. It’s also the heart of many single board computers like the Raspberry Pi. Gain the skills required to dive into the fundamentals of the ARM hardware architecture with this book and start your own projects while you develop a working knowledge of assembly language for the ARM 64-bit processor.You'll review assembly language programming for the ARM Processor in 64-bit mode and write programs for a number of single board computers, including the Nvidia Jetson Nano and the Raspberry Pi (running 64-bit Linux). The book also discusses how to target assembly language programs for Apple iPhones and iPads along with 64-Bit ARM based Android phones and tablets. It covers all the tools you require, the basics of the ARM hardware architecture, all the groups of ARM 64-Bit Assembly instructions, and how data is stored in the computer’s memory. In addition, interface apps to hardware such as the Raspberry Pi’s GPIO ports. The book covers code optimization, as well as how to inter-operate with C and Python code. Readers will develop enough background to use the official ARM reference documentation for their own projects.With Programming with 64-Bit ARM Assembly Language as your guide you’ll study how to read, reverse engineer and hack machine code, then be able to apply these new skills to study code examples and take control of both your ARM devices’ hardware and software. What You'll LearnMake operating system calls from assembly language and include other software libraries in your projectsInterface apps to hardware devices such as the Raspberry Pi GPIO portsReverse engineer and hack codeUse the official ARM reference documentation for your own projectsWho This Book Is ForSoftware developers who have already learned to program in a higher-level language like Python, Java, C#, or even C and now wish to learn Assembly programming.
R 1,311.94
R 1,191.00
How Computer Programming Works
This unique book uses full color illustrations to help readers understand the principles behind all computer programming. It is the book for beginners to read before they start learning computer programming. It offers non-programmers a basis for understanding what programmers do. The author Daniel Appleman is well-known for his bestselling books on VB.
R 684.00
micro:bit Projects with Python and Single Board Computers
Build different components of larger systems using class sets of micro:bits with Python in a truly collaborative way. First you’ll explore ways to harness the capabilities of the humble micro:bit and learn to creatively overcome some of its limitations; learning practical text-based programming along the way. We’ll then move on to building projects that allow multiple micro:bits, and other microcontroller boards and parts like the Raspberry Pi, to communicate with one another, and coordinate their operations to build larger systems.Rather than just being a guide to learning these skills, this book will include tips and stories about implementing the these ideas in classrooms, Code Clubs, and Maker environments. Practical logistics for preparation and easy set-up, as well as, acceptance criteria and accountability for students and participants is included. These ideas were gained over years of running a Code Club and running Maker workshops and events.You’ll learn about programming collaborative solutions and design logic. Then you’ll scale that logic up to more complex projects. By the end, you’ll have added additional electronic and physical components to projects that interact with the world. You’ll create fun inventions together, using hardware, coding, electronics, physical objects, and e-textiles.What You'll LearnSolve problems and create art by modelling solutions and ideas with a combination of Python coding, electronic systems engineering, and creative design.Navigate the logistical and unique challenges that come with running your own Code Club, Makerspace, or feeding these activities into STEAM design and technology curriculums.Take new Makers from simply copying and duplicating through to debugging and understanding.Who This Book Is ForMakers and instructors interested in starting group projects while learning to code and gain other Maker skills along the way. Essential information is provided in a form that enables beginners and intermediate Makers to get hands-on quickly, but with enough depth to keep building on these projects and pushing the boundaries.
R 1,432.99
Hands-On Simulation Modeling with Python
Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guideKey FeaturesLearn to create a digital prototype of a real model using hands-on examplesEvaluate the performance and output of your prototype using simulation modeling techniquesUnderstand various statistical and physical simulations to improve systems using PythonBook DescriptionSimulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python.Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks.By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges.What you will learnGain an overview of the different types of simulation modelsGet to grips with the concepts of randomness and data generation processUnderstand how to work with discrete and continuous distributionsWork with Monte Carlo simulations to calculate a definite integralFind out how to simulate random walks using Markov chainsObtain robust estimates of confidence intervals and standard errors of population parametersDiscover how to use optimization methods in real-life applicationsRun efficient simulations to analyze real-world systemsWho this book is forHands-On Simulation Modeling with Python is for simulation developers and engineers, model designers, and anyone already familiar with the basic computational methods that are used to study the behavior of systems. This book will help you explore advanced simulation techniques such as Monte Carlo methods, statistical simulations, and much more using Python. Working knowledge of Python programming language is required.
R 2,214.00
R 763.00
Hands-on Signal Analysis with Python
This book provides the tools for analyzing data in Python: different types of filters are introduced and explained, such as FIR-, IIR- and morphological filters, as well as their application to one- and two-dimensional data. The required mathematics are kept to a minimum, and numerous examples and working Python programs are included for a quick start. The goal of the book is to enable also novice users to choose appropriate methods and to complete real-world tasks such as differentiation, integration, and smoothing of time series, or simple edge detection in images. An introductory section provides help and tips for getting Python installed and configured on your computer. More advanced chapters provide a practical introduction to the Fourier transform and its applications such as sound processing, as well as to the solution of equations of motion with the Laplace transform. A brief excursion into machine learning shows the powerful tools that are available with Python. This book also provides tips for an efficient programming work flow: from the use of a debugger for finding mistakes, code-versioning with git to avoid the loss of working programs, to the construction of graphical user interfaces (GUIs) for the visualization of data. Working, well-documented Python solutions are included for all exercises, and IPython/Jupyter notebooks provide additional help to get people started and outlooks for the interested reader.
R 2,462.02
Simulation with Python
Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.What You'll LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backgrounds, including backend developers, academic research programmers, data scientists, and machine learning engineers. The book is also useful to high school students and college undergraduates and graduates with STEM backgrounds.
R 1,254.00
Official Raspberry Pi Handbook
The Official Raspberry Pi Handbook is fully updated for Raspberry Pi in 2024. Packed with all the information beginners need to use their new Raspberry Pi computer. And the best projects from the year for long-term Raspberry Pi enthusiasts.Learn how to set up the Raspberry Pi, install an operating system, and start using Raspberry Pi OS. Follow step-by-step guides to code animations and games using both Scratch and Python languages. Create incredbile computing projects with electronic components.The Official Raspberry Pi Handbook 2024 the biggest book of the year for the Raspberry Pi community and a must-buy for all Raspberry Pi owners.
R 525.00
R 757.00
Programming for Computations - MATLAB/Octave
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
R 2,198.00
R 519.00
Programming the Intel Edison: Getting Started with Processing and Python
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Learn To Easily Create Robotic, IoT, and Wearable Electronic Gadgets!Get up-and-running building cutting-edge Edison devices with help from this DIY guide. Programming the Intel Edison: Getting Started with Processing and Python lays out the Edison’s powerful features and teaches the basics of Internet-enabled embedded programming. Discover how to set up components, connect your PC or Mac, build Python applications, and use USB, WiFi, and Bluetooth connections. Start-to-finish example projects include a motor controller, home temperature system, robotic car, and wearable hospital alert sensor.Explore the capabilities and features of the EdisonConnect Sparkfun, Break-out, and Arduino boardsProgram your Edison through the Arduino IDESet up USB, GPIO, WiFi, and Bluetooth connections
R 556.00
Python Network Programming
Power up your network applications with Python programmingKey FeaturesMaster Python skills to develop powerful network applicationsGrasp the fundamentals and functionalities of SDNDesign multi-threaded, event-driven architectures for echo and chat serversBook DescriptionThis Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming.By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products:Practical Network Automation by Abhishek RatanMastering Python Networking by Eric ChouPython Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque SarkerWhat you will learnCreate socket-based networks with asynchronous modelsDevelop client apps for web APIs, including S3 Amazon and TwitterTalk to email and remote network servers with different protocolsIntegrate Python with Cisco, Juniper, and Arista eAPI for automationUse Telnet and SSH connections for remote system monitoringInteract with websites via XML-RPC, SOAP, and REST APIsBuild networks with Ryu, OpenDaylight, Floodlight, ONOS, and POXConfigure virtual networks in different deployment environmentsWho this book is forIf you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.
R 1,628.00
R 1,069.00
R 1,107.00
Quick Data Structures
If you want to upgrade your programming skills, the most important thing you need is a solid understanding of fundamental data structures. The proper choice of data structures distinguishes excellent programmers from merely competent ones.As an experienced programmer, you use data structures—at least arrays—all the time. However, you may not be familiar with hash tables, trees and binary trees, priority queues, directed and undirected graphs, and other data structures at your disposal.A good choice of data structures will simplify your job, not complicate it. Your code will be not only faster but also easier to understand and debug. There is no downside to using the right data structures for the job.This book Provides an understanding of the fundamental building blocks of data structures Describes the construction and use of all common data structures Explains the simple math required for selecting efficient data structures Equips you with everything you need to choose data structures or devise appropriate new ones
R 1,436.43
Computer Programming for Beginners
This book aims to capture the fundamentals of computer programming without tying the topic to any specific programming language. To the best of the authors’ knowledge there is no such book in the market.
R 3,006.75
R 4,531.00
Mathematical and Computer Programming Techniques for Computer Graphics
Provides a comprehensive and detailed coverage of the fundamentals of programming techniques for computer graphicsUses lots of code examples, encouraging the reader to explore and experiment with data and computer programs (in the C programming language)
R 4,697.19
Cracking Codes With Python
Cracking Secret Codes with Python is a hands-on introduction to Python that teaches readers how to make and hack cipher programs, which are used to encrypt secret messages. It covers ciphers like the Caesar cipher, transposition cipher, and the RSA cipher, and teaches readers how to test and hack them. For every program, Sweigart provides the full source code and then walks readers through it, explaining how every line works. Along the way, readers will learn Python fundamentals - and by the book's end, they'll have a solid foundation in Python and some fun programs under their belt.
R 912.00
R 1,132.00
Introduction to Programming with C++ for Engineers
A complete textbook and reference for engineers to learn the fundamentals of computer programming with modern C++ Introduction to Programming with C++ for Engineers is an original presentation teaching the fundamentals of computer programming and modern C++ to engineers and engineering students. Professor Cyganek, a highly regarded expert in his field, walks users through basics of data structures and algorithms with the help of a core subset of C++ and the Standard Library, progressing to the object-oriented domain and advanced C++ features, computer arithmetic, memory management and essentials of parallel programming, showing with real world examples how to complete tasks. He also guides users through the software development process, good programming practices, not shunning from explaining low-level features and the programming tools. Being a textbook, with the summarizing tables and diagrams the book becomes a highly useful reference for C++ programmers at all levels. Introduction to Programming with C++ for Engineers teaches how to program by: Guiding users from simple techniques with modern C++ and the Standard Library, to more advanced object-oriented design methods and language featuresProviding meaningful examples that facilitate understanding of the programming techniques and the C++ language constructionsFostering good programming practices which create better professional programmersMinimizing text descriptions, opting instead for comprehensive figures, tables, diagrams, and other explanatory materialGranting access to a complementary website that contains example code and useful links to resources that further improve the reader’s coding abilityIncluding test and exam question for the reader’s review at the end of each chapter Engineering students, students of other sciences who rely on computer programming, and professionals in various fields will find this book invaluable when learning to program with C++.
R 3,177.00
Handbook of Computer Animation
Written by specialists in teaching computer animation, this text addresses key international topics of computer animation, such as: mathematics, modelling, rendering, and compositing. Each chapter discusses a particular topic and how it is applied, including state-of-the-art techniques that are used in computer animation. The handbook provides a complete and up-to-date picture of computer animation and will be a valuable reference source for programmers, technical directors and animators in computer animation, computer games and special effects and also undergraduate and postgraduate students. The editor, John Vince, has written and edited over 20 books on computer graphics, computer animation and virtual reality.
R 4,054.91
Mathematical and Computer Programming Techniques for Computer Graphics
Provides a comprehensive and detailed coverage of the fundamentals of programming techniques for computer graphicsUses lots of code examples, encouraging the reader to explore and experiment with data and computer programs (in the C programming language)
R 4,158.99
Computer Programming in C for Beginners
This textbook is an ideal introduction in college courses or self-study for learning computer programming using the C language. Written for those with minimal or no programming experience, Computer Programming in C for Beginners offers a heavily guided, hands-on approach that enables the reader to quickly start programming, and then progresses to cover the major concepts of C programming that are critical for an early stage programmer to know and understand. While the progression of topics is conventional, their treatment is innovative and designed for rapid understanding of the many concepts in C that have traditionally proven difficult for beginners, such as variable typing and scope, function definition, passing by value, pointers, passing by reference, arrays, structures, basic memory management, dynamic memory allocation, and linked lists, as well as an introductory treatment of searching and sorting algorithms. Written in an informal but clear narrative, the book uses extensive examples throughout and provides detailed guidance on how to write the C code to achieve the objectives of the example problems. Derived from the author’s many years of teaching hands-on college courses, it encourages the reader to follow along by programming the progressively more complex exercise programs presented. In some sections, errors are purposely inserted into the code to teach the reader about the common pitfalls of programming in general, and the C language in particular.
R 2,227.10
