Create A Web Crawler In Python
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Create a Web Crawler in Python
Author: Antun Peicevic
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2016-05-09
This book consists of two parts. In the first part of the book, you will learn how to download and install Python on your Windows or Linux system. You will learn what a variable is, how to perform arithmetic operations, if statement, for loops, how to capture user input, and much more.In the second part of the book we will cover the process of creating a web crawler in Python. A web crawler is a program that browses the World Wide Web in a methodical fashion for the purpose of collecting information. After you finish this book, you should have a working web crawler that you can use on your own website.Here is a list of topics covered in the book: Part 1 - Python basics Chapter 1 - Introduction - we go through the basics of Python. You will learn how to download and install Python on Windows and Linux, and all the ways you can run Python code. Chapter 2 - Basic programs - you will learn how to write your first program. We will describe variables and their data types and explain what strings are. Chapter 3 - Operators overview - we describe different types of operators found in Python: arithmetic, comparison, logical, assignment, membership, and identity operators. Chapter 4 - Conditional statements - we describe conditional statements. You will learn how to get user input and use logical operators in your programs. Chapter 5 - Loops - we show you what loops are. You will also learn how to use break, continue, and pass statements. Chapter 6 - Errors - you will learn how to deal with errors in your code. You will learn different types of errors, and how you can catch specific exceptions. Chapter 7 - Modules - you will learn what modules are and how you can use them in your programs. You will also learn how to find files on your disk. Chapter 8 - Strings - we will describe what strings are. You will also learn some useful string functions and how to escape characters in Python. Part 2 - Creating a web crawler - we will describe how you can create a fully functional web crawler. To speed up the crawling process, our web crawler will be developed as a multi-threaded program.
Hands-On Penetration Testing with Python
Implement defensive techniques in your ecosystem successfully with Python Key FeaturesIdentify and expose vulnerabilities in your infrastructure with PythonLearn custom exploit development .Make robust and powerful cybersecurity tools with PythonBook Description With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers. Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you’ll explore the advanced uses of Python in the domain of penetration testing and optimization. You’ll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you’ll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python. By the end of this book, you’ll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits. What you will learnGet to grips with Custom vulnerability scanner developmentFamiliarize yourself with web application scanning automation and exploit developmentWalk through day-to-day cybersecurity scenarios that can be automated with PythonDiscover enterprise-or organization-specific use cases and threat-hunting automationUnderstand reverse engineering, fuzzing, buffer overflows , key-logger development, and exploit development for buffer overflows.Understand web scraping in Python and use it for processing web responsesExplore Security Operations Centre (SOC) use casesGet to understand Data Science, Python, and cybersecurity all under one hoodWho this book is for If you are a security consultant , developer or a cyber security enthusiast with little or no knowledge of Python and want in-depth insight into how the pen-testing ecosystem and python combine to create offensive tools , exploits , automate cyber security use-cases and much more then this book is for you. Hands-On Penetration Testing with Python guides you through the advanced uses of Python for cybersecurity and pen-testing, helping you to better understand security loopholes within your infrastructure .
Hands-On Web Scraping with Python
Author: Anish Chapagain
language: en
Publisher: Packt Publishing Ltd
Release Date: 2023-10-06
Work through practical examples to unlock the full potential of web scraping with Python and gain valuable insights from high-quality data Key Features Build an initial portfolio of web scraping projects with detailed explanations Grasp Python programming fundamentals related to web scraping and data extraction Acquire skills to code web scrapers, store data in desired formats, and employ the data professionally Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWeb scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience. Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you’ll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You’ll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning. This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you’ll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.What you will learn Master web scraping techniques to extract data from real-world websites Implement popular web scraping libraries such as requests, lxml, Scrapy, and pyquery Develop advanced skills in web scraping, APIs, PDF extraction, regex, and machine learning Analyze and visualize data with Pandas and Plotly Develop a practical portfolio to demonstrate your web scraping skills Understand best practices and ethical concerns in web scraping and data extraction Who this book is for This book is for beginners who want to learn web scraping and data extraction using Python. No prior programming knowledge is required, but a basic understanding of web-related concepts such as websites, browsers, and HTML is assumed. If you enjoy learning by doing and want to build a portfolio of web scraping projects and delve into data-related studies and application, then this book is tailored for your needs.