The Hacker S Guide To Scaling Python

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The Hacker S Guide To Scaling Python

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Author : Julien Danjou
language : en
Publisher: Julien Danjou
Release Date : 2017

The Hacker S Guide To Scaling Python written by Julien Danjou and has been published by Julien Danjou this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computers categories.

Python is a wonderful programming language that allows writing applications quickly. But how do you make those applications scale for thousands of users and requests? It takes years of practice, research, trial and errors to build experience and knowledge along the way. Simple questions such as "How do I make my code faster?" or "How do I make sure there is no bottleneck?" cost hours to find good answers. Without enough background on the topic, you'll never be sure that any answer you'll come up with will be correct. The Hacker's Guide to Scaling Python will help you solve that by providing guidelines, tips and best practice. Adding a few interviews of experts on the subject, you will learn how you can distribute your Python application so it is able to process thousands of requests.

The Hacker S Guide To Python

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Author : Julien Danjou
language : en
Publisher: Julien Danjou
Release Date : 2016-05-04

The Hacker S Guide To Python written by Julien Danjou and has been published by Julien Danjou this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-04 with categories.

Python is a wonderful programming language that is being used more and more in many different industries. It is fast, flexible, and it comes with batteries included. Most of the books you read about Python will teach you the language basics – but once you've learnt them, you’re on your own in designing your application and discovering best practice. In this book, we'll see how you can leverage Python to efficiently tackle your problems and build great Python applications.

Violent Python

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Author : TJ O'Connor
language : en
Publisher: Newnes
Release Date : 2012-12-28

Violent Python written by TJ O'Connor and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-28 with Computers categories.

Violent Python shows you how to move from a theoretical understanding of offensive computing concepts to a practical implementation. Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus. - Demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts - Write code to intercept and analyze network traffic using Python. Craft and spoof wireless frames to attack wireless and Bluetooth devices - Data-mine popular social media websites and evade modern anti-virus

Serious Python

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Author : Julien Danjou
language : en
Publisher: No Starch Press
Release Date : 2018-12-27

Serious Python written by Julien Danjou and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-27 with Computers categories.

An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers who share their tips, tricks, best practices, and real-world advice gleaned from years of experience. Sharpen your Python skills as you dive deep into the Python programming language with Serious Python. You'll cover a range of advanced topics like multithreading and memorization, get advice from experts on things like designing APIs and dealing with databases, and learn Python internals to help you gain a deeper understanding of the language itself. Written for developers and experienced programmers, Serious Python brings together over 15 years of Python experience to teach you how to avoid common mistakes, write code more efficiently, and build better programs in less time. As you make your way through the book's extensive tutorials, you'll learn how to start a project and tackle topics like versioning, layouts, coding style, and automated checks. You'll learn how to package your software for distribution, optimize performance, use the right data structures, define functions efficiently, pick the right libraries, build future-proof programs, and optimize your programs down to the bytecode. You'll also learn how to: - Make and use effective decorators and methods, including abstract, static, and class methods - Employ Python for functional programming using generators, pure functions, and functional functions - Extend flake8 to work with the abstract syntax tree (AST) to introduce more sophisticated automatic checks into your programs - Apply dynamic performance analysis to identify bottlenecks in your code - Work with relational databases and effectively manage and stream data with PostgreSQL If you've been looking for a way to take your Python skills from good to great, Serious Python will help you get there. Learn from the experts and get seriously good at Python with Serious Python!

Hacker S Guide To Machine Learning Concepts

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Author : Trilokesh Khatri
language : en
Publisher: Educohack Press
Release Date : 2025-01-03

Hacker S Guide To Machine Learning Concepts written by Trilokesh Khatri and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.

Hacker’s Guide to Machine Learning Concepts is crafted for those eager to dive into the world of ethical hacking. This book demonstrates how ethical hacking can help companies identify and fix vulnerabilities efficiently. With the rise of data and the evolving IT industry, the scope of ethical hacking continues to expand. We cover various hacking techniques, identifying weak points in programs, and how to address them. The book is accessible even to beginners, offering chapters on machine learning and programming in Python. Written in an easy-to-understand manner, it allows learners to practice hacking steps independently on Linux or Windows systems using tools like Netsparker. This book equips you with fundamental and intermediate knowledge about hacking, making it an invaluable resource for learners.

Google Hacking With Python 2024 Edition

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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2024-11-03

Google Hacking With Python 2024 Edition written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-03 with Business & Economics categories.

🚀 TAKE ADVANTAGE OF THE PROMOTIONAL LAUNCH PRICE OF THE YEAR 🚀 Dive into the fascinating world of Google Hacking with this advanced guide, created by Diego Rodrigues. Learn automation and scripting techniques in Python that will make you an expert in advanced web searches. This detailed book offers a practical and direct approach for students, professionals, and managers looking to master the art of finding hidden information using the power of Google search operators and Python scripts. Discover how to use search operators like site:, filetype:, intitle:, and inurl: and combine them with the power of Python to automate your searches, locate confidential documents, login pages, unprotected directories, and much more. Explore the fundamentals of Google Hacking and Python, from its history and evolution to practical application in cybersecurity. With practical examples and case studies, you will learn to apply this knowledge effectively and ethically. This guide covers a wide range of topics, including: - Fundamentals and history of Google Hacking and Python - Essential tools and resources for advanced searches and automation - Basic and advanced search operators - Techniques for locating specific files and exploring sites and domains - Search automation and data collection with Python - Security and privacy in the use of Google Hacking and Python scripts - Practical applications in security audits and penetration testing Diego Rodrigues provides clear and objective writing, filled with practical examples and exercises to maximize your learning. Prepare yourself for an intense and rewarding educational journey. Open the book sample and start your journey towards excellence in Google Hacking with Python. TAGS: AWS Microsoft IBM Cisco Palo Alto Networks EC-Council Azure OSINT Digital Forensics Google Hacking Kali Linux Python Java C++ APIs CI/CD AI ML Instagram Facebook X Dorks Hacker Red Hat Web Computing Investigation Threat Intelligence Hunter Confidential Documents Cybersecurity Advanced Search Operators Filetype Site Intitle Inurl Audit Penetration Tests Diego Rodrigues Students Professionals Protected Directories Login Pages Search Tools Techniques Cybersecurity Technical Book Learning Practical Examples Case Studies Privacy Advanced Operators Cloud Big Data Blockchain Machine Learning Artificial Intelligence Automation Python Scripts Information Security Site Exploration Data Collection Result Analysis Security Auditors Web Scraping Tools Selenium Scrapy Browsers Development Environment Configuration Security Privacy Sensitive Data Ethical Applications Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes Kali Linux Nmap Metasploit Wireshark information security pen test cybersecurity Linux distributions ethical hacking vulnerability analysis system exploration wireless attacks web application security malware analysis social engineering Android iOS Social Engineering Toolkit SET computer science IT professionals cybersecurity careers cybersecurity expertise cybersecurity library cybersecurity training Linux operating systems cybersecurity tools ethical hacking tools security testing penetration test cycle security concepts mobile security cybersecurity fundamentals cybersecurity techniques cybersecurity skills cybersecurity industry global cybersecurity trends Kali Linux tools cybersecurity education cybersecurity innovation penetration test tools cybersecurity best practices global cybersecurity companies cybersecurity solutions IBM Google Microsoft AWS Cisco Oracle cybersecurity consulting cybersecurity framework network security cybersecurity courses cybersecurity tutorials Linux security cybersecurity challenges cybersecurity landscape cloud security cybersecurity threats cybersecurity compliance cybersecurity research cybersecurity technology

Hacker S Handbook A Beginner S Guide To Ethical Hacking

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Author : Pratham Pawar
language : en
Publisher: Epiphany Publication
Release Date : 2024-09-24

Hacker S Handbook A Beginner S Guide To Ethical Hacking written by Pratham Pawar and has been published by Epiphany Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-24 with Fiction categories.

Dive into the world of ethical hacking with this comprehensive guide designed for newcomers. "Hacker's Handbook" demystifies key concepts, tools, and techniques used by ethical hackers to protect systems from cyber threats. With practical examples and step-by-step tutorials, readers will learn about penetration testing, vulnerability assessment, and secure coding practices. Whether you're looking to start a career in cybersecurity or simply want to understand the basics, this handbook equips you with the knowledge to navigate the digital landscape responsibly and effectively. Unlock the secrets of ethical hacking and become a guardian of the cyber realm!

Real World Python

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Author : Lee Vaughan
language : en
Publisher: No Starch Press
Release Date : 2020-11-05

Real World Python written by Lee Vaughan and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Computers categories.

A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code. You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how. Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. You'll create complete, working programs and think through intriguing projects that show you how to: Save shipwrecked sailors with an algorithm designed to prove the existence of God Detect asteroids and comets moving against a starfield Program a sentry gun to shoot your enemies and spare your friends Select landing sites for a Mars probe using real NASA maps Send unbreakable messages based on a book code Survive a zombie outbreak using data science Discover exoplanets and alien megastructures orbiting distant stars Test the hypothesis that we're all living in a computer simulation And more! If you're tired of learning the bare essentials of Python Programming with isolated snippets of code, you'll relish the relevant and geeky fun of Real-World Python!

Hacking The Art Of Exploitation

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Author : J. Erickson
language : en
Publisher: oshean collins
Release Date : 2018-03-06

Hacking The Art Of Exploitation written by J. Erickson and has been published by oshean collins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-06 with Education categories.

This text introduces the spirit and theory of hacking as well as the science behind it all; it also provides some core techniques and tricks of hacking so you can think like a hacker, write your own hacks or thwart potential system attacks.

Foundations For Analytics With Python

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Author : Clinton W. Brownley
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-08-16

Foundations For Analytics With Python written by Clinton W. Brownley and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-16 with Business & Economics categories.

If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary. Create and run your own Python scripts by learning basic syntax Use Python’s csv module to read and parse CSV files Read multiple Excel worksheets and workbooks with the xlrd module Perform database operations in MySQL or with the mysqlclient module Create Python applications to find specific records, group data, and parse text files Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn Produce summary statistics, and estimate regression and classification models Schedule your scripts to run automatically in both Windows and Mac environments