Developing Bots With Selenium Python Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Developing Bots With Selenium Python book. This book definitely worth reading, it is an incredibly well-written.
Developing Bots with Selenium Python by Michael Schrenk Pdf
There isn't a website that you can't scrape, control, or automate with Selenium Python. These skills can be used to conduct Competitive Intelligence, Test Engineering, Web Scraping, Data Mining, or Market Analysis. Section one of this book provides background and configuration help. The Second Section details ten Bot projects that explore specific aspects of Selenium Python. Each project uses web pages developed specifically for this book. Additionally, each project has an associated Video on YouTube that provides a Bot Demo and Code Walk-through. Section Three contains Then Chapters of theory that explore everything from Legal Obligations to Bot Architectures, Handling Big Data, How Webdriver works, and Fault Tolerance. All scripts are provided either online or in the book.
Showing how you can use bots for just about everything, this book teaches you about bot programming, using all the latest and greatest programming languages, including Python, Go, and Clojure, so you can feel at ease writing your Telegram bot in a way that suits you. --
Webbots, Spiders, and Screen Scrapers, 2nd Edition by Michael Schrenk Pdf
There's a wealth of data online, but sorting and gathering it by hand can be tedious and time consuming. Rather than click through page after endless page, why not let bots do the work for you? Webbots, Spiders, and Screen Scrapers will show you how to create simple programs with PHP/CURL to mine, parse, and archive online data to help you make informed decisions. Michael Schrenk, a highly regarded webbot developer, teaches you how to develop fault-tolerant designs, how best to launch and schedule the work of your bots, and how to create Internet agents that: –Send email or SMS notifications to alert you to new information quickly –Search different data sources and combine the results on one page, making the data easier to interpret and analyze –Automate purchases, auction bids, and other online activities to save time Sample projects for automating tasks like price monitoring and news aggregation will show you how to put the concepts you learn into practice. This second edition of Webbots, Spiders, and Screen Scrapers includes tricks for dealing with sites that are resistant to crawling and scraping, writing stealthy webbots that mimic human search behavior, and using regular expressions to harvest specific data. As you discover the possibilities of web scraping, you'll see how webbots can save you precious time and give you much greater control over the data available on the Web.
Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will Learn Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server Who This Book Is For Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.
Detection of Intrusions and Malware, and Vulnerability Assessment by Clémentine Maurice,Leyla Bilge,Gianluca Stringhini,Nuno Neves Pdf
This book constitutes the proceedings of the 17th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2020, held in Lisbon, Portugal, in June 2020.* The 13 full papers presented in this volume were carefully reviewed and selected from 45 submissions. The contributions were organized in topical sections named: vulnerability discovery and analysis; attacks; web security; and detection and containment. *The conference was held virtually due to the COVID-19 pandemic.
Security-Driven Software Development by Aspen Olmsted Pdf
Trace security requirements through each development phase, mitigating multiple-layer attacks with practical examples, and emerge equipped with the skills to build resilient applications Key Features Explore the practical application of secure software development methodologies Model security vulnerabilities throughout the software development lifecycle (SDLC) Develop the skills to trace requirements, from requirements gathering through to implementation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionExtend your software development skills to integrate security into every aspect of your projects. Perfect for any programmer or developer working on mission-critical applications, this hands-on guide helps you adopt secure software development practices. Explore core concepts like security specifi cation, modeling, and threat mitigation with the iterative approach of this book that allows you to trace security requirements through each phase of software development. You won’t stop at the basics; you’ll delve into multiple-layer att acks and develop the mindset to prevent them. Through an example application project involving an entertainment ticketing software system, you’ll look at high-profi le security incidents that have aff ected popular music stars and performers. Drawing from the author’s decades of experience building secure applications in this domain, this book off ers comprehensive techniques where problem-solving meets practicality for secure development. By the end of this book, you’ll have gained the expertise to systematically secure software projects, from crafting robust security specifi cations to adeptly mitigating multifaceted threats, ensuring your applications stand resilient in the face of evolving cybersecurity challenges.What you will learn Find out non-functional requirements crucial for software security, performance, and reliability Develop the skills to identify and model vulnerabilities in software design and analysis Analyze and model various threat vectors that pose risks to software applications Acquire strategies to mitigate security threats specific to web applications Address threats to the database layer of an application Trace non-functional requirements through secure software design Who this book is for Many software development jobs require developing, maintaining, enhancing, administering, and defending software applications, websites, and scripts. This book is designed for software developers and web developers seeking to excel in these roles, offering concise explanations and applied example use-cases.
Python Testing with Selenium by Sujay Raghavendra Pdf
Implement different testing techniques using Selenium WebDriver with the Python programming language. This quick reference provides simple functional test cases with a syntax-based approach for Selenium WebDriver. You’ll begin by reviewing the basics of Selenium WebDriver and its architectural design history and then move on to the configuration and installation of Selenium library for different web browsers, including the basic commands needed to start test scripts in various browsers. You’ll review action commands of keyboard and mouse for testing user interactions in a web page and see how hyperlinks are tested. The book also examines various web elements using eight different locators provided by Selenium to help you choose the one best suited to your needs. All Python scripts are ready to test real examples, all of which are explained thoroughly with problem statements. You’ll use different Python design patterns to automate test scripts that can be incorporated with Selenium. In the end, Python Testing with Selenium will provide you with the expertise to write your own test cases in future. What You’ll Learn Install and configure Selenium WebDriver with Python for different web-browsers Review basic commands of Selenium Locate web elements Work with UI based web elements Assert web elements and handle exceptions Write test scripts in Page Object Model Write test cases with Unittest framework Who This Book Is For Python developers/testers who want to test their web applications
Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice. Learn how to parse complicated HTML pages Traverse multiple pages and sites Get a general overview of APIs and how they work Learn several methods for storing the data you scrape Download, read, and extract data from documents Use tools and techniques to clean badly formatted data Read and write natural languages Crawl through forms and logins Understand how to scrape JavaScript Learn image processing and text recognition
Conceptual Modeling by Gillian Dobbie,Ulrich Frank,Gerti Kappel,Stephen W. Liddle,Heinrich C. Mayr Pdf
This book constitutes the refereed proceedings of the 39th International Conference on Conceptual Modeling, ER 2020, which was supposed to be held in Vienna, Austria, in November 2020, but the conference was held virtually due to the COVID-19 pandemic. The 28 full and 16 short papers were carefully reviewed and selected from 143 submissions. This events covers a wide range of topics, and the papers are organized in the following sessions: foundations of conceptual modeling; process mining and conceptual modeling; conceptual modeling of business rules and processes; modeling chatbots, narratives and natural language; ontology and conceptual modeling; applications of conceptual modeling; schema design, evolution, NoSQL; empirical studies of conceptual modeling; networks, graphs and conceptual modeling; and conceptual modeling of complex and data-rich systems.
Summary Go Web Programming teaches you how to build scalable, high-performance web applications in Go using modern design principles. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The Go language handles the demands of scalable, high-performance web applications by providing clean and fast compiled code, garbage collection, a simple concurrency model, and a fantastic standard library. It's perfect for writing microservices or building scalable, maintainable systems. About the Book Go Web Programming teaches you how to build web applications in Go using modern design principles. You'll learn how to implement the dependency injection design pattern for writing test doubles, use concurrency in web applications, and create and consume JSON and XML in web services. Along the way, you'll discover how to minimize your dependence on external frameworks, and you'll pick up valuable productivity techniques for testing and deploying your applications. What's Inside Basics Testing and benchmarking Using concurrency Deploying to standalone servers, PaaS, and Docker Dozens of tips, tricks, and techniques About the Reader This book assumes you're familiar with Go language basics and the general concepts of web development. About the Author Sau Sheong Chang is Managing Director of Digital Technology at Singapore Power and an active contributor to the Ruby and Go communities. Table of Contents PART 1 GO AND WEB APPLICATIONS Go and web applications Go ChitChat PART 2 BASIC WEB APPLICATIONS Handling requests Processing requests Displaying content Storing data PART 3 BEING REAL Go web services Testing your application Leveraging Go concurrency Deploying Go
Image Processing and Acquisition using Python by Ravishankar Chityala,Sridevi Pudipeddi Pdf
Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing—one of the first books to integrate these topics together. By improving readers’ knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The second part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry. Features Covers both the physical methods of obtaining images and the analytical processing methods required to understand the science behind the images. Contains many examples, detailed derivations, and working Python examples of the techniques. Offers practical tips on image acquisition and processing. Includes numerous exercises to test the reader’s skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book’s web page. New to this edition Machine learning has become an indispensable part of image processing and computer vision, so in this new edition two new chapters are included: one on neural networks and the other on convolutional neural networks. A new chapter on affine transform and many new algorithms. Updated Python code aligned to the latest version of modules.
From one of the world's leading Java programmers--a step-by-step guide to building enterprise-strength applications with RMI Java developers in general and EJB developers in particular need to master RMI (Remote Method Invocation) technology if they are to write distributed, enterprise-strength applications that communicate effectively with remote applications and devices even under heavy traffic. In this new book, an award-winning and internationally recognized Java expert shows experienced Java and EJB developers how to utilize the full capabilities of RMI to write fast, efficient, fault-tolerant, and flexible applications. This book is a true programming tutorial that provides sophisticated examples that developers can directly implement and customize--a huge timesaving feature!
Getting Structured Data from the Internet by Jay M. Patel Pdf
Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data. Getting Structured Data from the Internet also includes a step-by-step tutorial on deploying your own crawlers using a production web scraping framework (such as Scrapy) and dealing with real-world issues (such as breaking Captcha, proxy IP rotation, and more). Code used in the book is provided to help you understand the concepts in practice and write your own web crawler to power your business ideas. What You Will Learn Understand web scraping, its applications/uses, and how to avoid web scraping by hitting publicly available rest API endpoints to directly get data Develop a web scraper and crawler from scratch using lxml and BeautifulSoup library, and learn about scraping from JavaScript-enabled pages using Selenium Use AWS-based cloud computing with EC2, S3, Athena, SQS, and SNS to analyze, extract, and store useful insights from crawled pages Use SQL language on PostgreSQL running on Amazon Relational Database Service (RDS) and SQLite using SQLalchemy Review sci-kit learn, Gensim, and spaCy to perform NLP tasks on scraped web pages such as name entity recognition, topic clustering (Kmeans, Agglomerative Clustering), topic modeling (LDA, NMF, LSI), topic classification (naive Bayes, Gradient Boosting Classifier) and text similarity (cosine distance-based nearest neighbors) Handle web archival file formats and explore Common Crawl open data on AWS Illustrate practical applications for web crawl data by building a similar website tool and a technology profiler similar to builtwith.com Write scripts to create a backlinks database on a web scale similar to Ahrefs.com, Moz.com, Majestic.com, etc., for search engine optimization (SEO), competitor research, and determining website domain authority and ranking Use web crawl data to build a news sentiment analysis system or alternative financial analysis covering stock market trading signals Write a production-ready crawler in Python using Scrapy framework and deal with practical workarounds for Captchas, IP rotation, and more Who This Book Is For Primary audience: data analysts and scientists with little to no exposure to real-world data processing challenges, secondary: experienced software developers doing web-heavy data processing who need a primer, tertiary: business owners and startup founders who need to know more about implementation to better direct their technical team
Put your life on Autopilot with the magic and power of PythonAbout This Book* Learn how to construct Python scripts to scrape data, manipulate files, and access websites' APIs* This book is designed for Python developers of any experience level, and the recipe-based approach will allow you to run code and get instant results* This book is written in Python 3.5 syntax to future-proof your automation and you'll get an understanding of how to customize the scripts to meet your future automation needsWho This Book Is ForOur audience is programmers who know Python but need not be experts. They will however know a lot of the basics of the syntax and some basic experience with the command line. Ultimately, they're people who see themselves as busy and want to find cool hacks to automate all the mundane and time-consuming tasks they find themselves doing on a daily basis.What You Will Learn* Implement file deduplication and how to parse HTML content in Python.* Study an example application that will enable you to work with spreadsheets* Get acquainted with the Python modules used to work with e-mails* Manipulate images using Pillow and schedule tasks with respect to time zones* Use XML or JSON as a message format across distributed systems* Develop a Python application with logging and see an example of debugging* Integrate Python with Mongo and Redis databases* Generate reports using PandasIn DetailAutomate It! gives you a great selection of recipes to automate your life with Python and provides a platform for Python developers to start thinking about how they can use Python to do the stuff that takes up their time. Python's key strength is its usability as a scripting language to achieve just about anything, using a mouse and key board for repetitive actions. Python is extremely easy to use and can help you get complex tasks done efficiently.With a classic problem-solution based approach, you will delve directly into the things that matter in your daily work. You will start by learning how to work with Python scripts and how to use Python with Excel, PDF, and DOC files that you work with every day. You will realize how easy it is to manipulate files using the power of Python and move on to learning about file systems in detail.Any complication that you may have faced while accessing APIs in Python will also be smoothed out. You will also get acquainted with how to effectively and easily use Python code to manage SMS and voice notifications, imaging, and time zones. As a developer, you need to know how quickly and easily you can debug your Python code, analyze data, and generate reports on demand and mechanize database automation. This book will arm you with knowledge to customize the solutions to meet your needs.The end goal of this book is to make you more productive, as well as feel good about your skills as a developer.
The Modeling and Simulation of Photovoltaic Solar Module Using Matlab Simulink by Emad Mohammed Pdf
Scientific Study from the year 2018 in the subject Engineering - Power Engineering, grade: 90, , language: English, abstract: This work is a detailed modeling and simulation of the PV cell and module. It is implemented under MATLAB/Simulink environment; the most used software by researchers and engineers. This model is first drafted in accordance with the fundamentals of semiconductors and the PV cell technology. In other words, the PV module parameters have been selected according to their variation with illumination and temperature. It means that for any type of PV module, one can use this model and determine all the necessary parameters under any new conditions of irradiance and temperature and then obtain the I(V) and P(V) characteristics. This model can be considered as a tool which can be used to study all types of PV modules available in markets, and especially their behavior under different weather data of standard test conditions (STC). The PV module is the interface which converts light into electricity. Modeling this device, necessarily requires taking weather data (irradiance and temperature) as input variables. The output can be current, voltage, power or other. However, trace the characteristics I(V) or P(V) needs of these three variables. Any change in the entries immediately implies changes in outputs. That is why, it is important to use an accurate model for the PV module. The well-known five-parameter model is selected for the present study, and solves using a novel combination technique which integrates an algebraic simultaneous calculation of the parameters at standard test conditions (STC) with an analytical determination of the parameters under real operating conditions. A monocrystalline solar module will be simulated using MATLAB/Simulink software at different ambient temperature and the output power of cell was recorded. Solar Radiation and its effect on power of module is also simulated. Simulation shows that the output power of solar cell get decreased with decrease in sun’s radiation and raising temperature also decreases the output. In addition, the simulation performance of the model will be compared with other models, and further validated by outdoor tests, which indicate that the proposed model fits well the entire set of experimental field test I–V curves of the PV module, especially at the characteristic points.
