Python

This book is for testers looking for quick access to powerful, modern tools and customizable scripts to kick-start the creation of their own Python web penetration testing toolbox.

The book contains discussion on raster and vector data processing using Python binding of GDAL/OGR library. Also, different approaches of representing spatial reference system are enumerated. There is

Python Passive Network Mapping: P2NMAP is the first book to reveal a revolutionary and open source method for exposing nefarious network activity.The "Heartbleed" vulnerability has r

An introduction to coding for complete beginners, this friendly and accessible book will teach children the basics of Python (a widely used programming language), allowing them to get inside the code

A pragmatic guide for developing your own games with PythonAbout This BookStrengthen your fundamentals of game programming with Python languageSeven hands-on games to create 2D and 3D games rapidly fr

If You LikeFrom their perfectly insane television show to their consistently irreverent and riotous movies, Monty Python has owned the zany and absurd side of comedy since their debut. Their influence

With this convenient, single-source reference, you'll learn how to develop instrumentation software with Python that lets you monitor or control devices in the physical world. Whether you need to acq

This book is an innovative introduction to Python and its audio-visual capabilities for beginning programmers; a resource for expert programmers and of interest to anyone involved in music. It is stru

Cay Horstmann's Python for Everyone provides readers with step-by-step guidance, a feature that is immensely helpful for building confidence and providing an outline for the task at hand. “Problem Sol

This is the first book to demonstrate how to use Python as a serious Windows development and administration tool. It addresses all the basic technologies for common integration tasks on Windows, expl

The goal of this book is to demonstrate how to develop tailored, flexible working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus i

This full-color book will inspire you to start solving problems and creating programs with Python, even if you have absolutely no programming experience. It’s not just friendly and easy: it&rsqu

Learn the basics of ethical hacking and gain insights into the logic, algorithms, and syntax of Python. This book will set you up with a foundation that will help you understand the advanced concepts

This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond th

This book is an introduction to programming concepts that uses Python 3 as the target language. It follows a practical just-in-time presentation – material is given to the student when it is needed. M

Developed for kids, a fun and friendly guide to coding in the popular Python language teaches the basics through a series of step-by-step, hands-on coding projects so that youngsters can expand their

This is a hands-on guide that provides exemplary coverage of all the features and concepts related to PTVS. The book is intended for developers who are aiming to enhance their productivity in Python p

所有優質的學習，最後都歸結到思維能力和動手能力的提升。具體和抽象之間，如何結合才能收到理想的學習效果？針對這個問題，《輕鬆學Python》對內容進行精心編排和設計，真正做到了突破傳統觀念，以寓教於樂和任務分解的方式，帶領讀者從頭開始，循序漸進，最後完成足以讓師長和小夥伴們眼前一亮的大項目。 《輕鬆學Python》適合沒有任何編程背景的愛好者學習。

本書主要介紹Python程式語言及其應用，內容淺顯易懂、不管讀者有無程式設計的經驗，都能快速學會使用Python。書中除了介紹基本操作之外，並加強介紹專門做科學工程計算的Numpy與Scipy套件以及專門繪圖的Matplotlib 套件。*語法定義清楚，詳細解說，範例淺顯易懂。*在大量功能相仿的指令之中，優先介紹較單純指令，讓初學者更容易進入狀況，只要練習幾次即可自行撰寫程式。*提供範例程式，讀者

Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targe

Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-p

Django是利用Python語言開發網站時的首選Web框架。本書循序漸進地介紹了Django 2.0中各個功能模塊的實現與使用方法，並以“在線教育平臺”為例，講解了基於Django 2.0開發應用的實用技能。此外，本書還介紹了Django項目的上線部署方法以及在網站實際開發過程中常用的第三方功能模塊。本書內容實用性強，案例豐富，側重於實戰，與新技術結合緊密，可綜合提高讀者的Python Web編程能力。本書可作為計算機相關專業的教材，也適合剛接觸或即將接觸Django的開發者使用，還可供具有Django開發經驗但還須進一步提升實戰能力的讀者學習參考。

本書以大數據應用方面常用的語言Python為基礎，從網絡爬蟲的實現原理入手，逐步引領讀者進入網絡爬蟲的世界。在各類爬蟲框架中，將Scrapy作為軸心，從多個維度揭開爬蟲技術的面紗。例如，爬取規則的制定技巧，設計高速爬蟲，如何讓爬蟲更“聰明”地獲取數據，將海量數據進行分布式存儲的技術，設計具有高隱匿性的爬蟲，大規模、高併發的分布式爬蟲技術。