Название: Python For Hackers
Автор: Shantnu Tiwari
Издательство: Leanpub
Год: 2021
Формат: ePUB, MOBI
Страниц: 98
Размер: 10 Mb
Язык: English

Learn hacking techniques with practical examples you can run and modify Learn the secrets of hackers with practical examples
How to brute force a password using a dictionary
How to predict user sessions and steal data from other users
Directory Transversal: How to steal the passwords file
XSS attack : How to steal the user’s cookie
SQL injection: Destroy user data with a well crafted SQL query!
Stack overflow: Force the system to log you in, even with the wrong password
A simulation of the Heartbleed bug: Read hidden & secret data
Heap overflow: Read a secret file you are banned from reading, by overflowing the internal memory buffers

Название: Clean jаvascript. English Edition A concise guide to learning Clean Code, SOLID and Unit Testing
Автор: Miguel Gomez
Издательство: Leanpub
Год: 2021
Формат: PDF, ePUB, MOBI
Страниц: 145
Размер: 11 Mb
Язык: English

Improve the readability of your jаvascript code applying “Clean Code”.
Write code that is more intuitive, testable and tolerant to changes thanks to SOLID principles.
Increase the quality and security of your code by applying Unit Testing and TDD.
jаvascript is now one of the most popular programming languages in the world. It is used in the critical infrastructures of many very important companies like Facebook, Netflix or Uber.

Название: Python Programming; A Practical Approach
Автор: Vijay Kumar Sharma, Vimal Kumar, Swati Sharma, Shashwat Pathak
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 345
Размер: 104 Mb
Язык: English

Maintaining a practical perspective, Python Programming: A Practical Approach acquaints you with the wonderful world of programming. The book is a starting point for those who want to learn Python programming. The backbone of any programming, which is the data structure and components such as strings, lists, etc., have been illustrated with many examples and enough practice problems to instill a level of self-confidence in the reader.

Название: Java 8: руководство для начинающих. 6-е издание
Автор: Шилдт Г.
Издательство: Вильямс
Год: 2015
Страниц: 712
Язык: Русский
Формат: pdf
Размер: 107 мб

Настоящее, 6-е издание бестселлера Герберта Шилдта "Java 8. Руководство для начинающих", обновленное с учетом всех новинок последнего выпуска Java Platform, Standard Edition 8 (Java SE 8), позволит новичкам сразу же приступить к программированию на языке Java. Герберт Шилдт, всемирно известный автор множества книг по программированию, уже в начале книги знакомит читателей с тем, как создаются, компилируются и выполняются программы, написанные на языке Java. Далее объясняются ключевые слова, синтаксис и языковые конструкции, образующие ядро Java.

Автор: Скиена С.
Название: Алгоритмы. Руководство по разработке
Издательство: СПб.: БХВ-Петербург
Год: 2011
ISBN: 978-5977505604
Язык: Русский, пер. с англ.
Формат: djvu
Размер: 10,6 mb
Страниц: 720

Книга является наиболее полным руководством по разработке эффективных алгоритмов.

Название: Rector - The Power of Automated Refactoring
Автор: Matthias Noback and Tomas Votruba
Издательство: Leanpub
Год: 2021
Формат: PDF, ePUB, MOBI
Страниц: 191
Размер: 10 Mb
Язык: English

Learn how to automatically and continuously upgrade and improve your PHP code base Rector is an extremely powerful tool that can instantly improve the code quality of your PHP projects. It can be used to safely migrate projects from PHP 5.6 to PHP 8. It can help you establish a standard of robust programming practices in your project. And it can save you a lot of time spent on reviewing pull requests.

Название: ezplot: How to Easily Make ggplot2 Graphics for Data Analysis
Автор: Guangming Lang
Издательство: Leanpub
Год: 2021-03-06
Страниц: 138
Язык: английский
Формат: pdf (true), epub
Размер: 21.4 MB

This book will teach you two things: how to make high quality statistical charts, and how to do it fast. The tool we’ll use is a R package called ezplot, which I wrote to help me with my consulting work. After working through this book, you will be able to create any of the top 10 most used charts in less than 1 minute. Hadley’s ggplot2 is a great tool, but one still needs to know the nuts and bolts to customize a ggplot2 chart. In the beginning, I did a lot of code recycling. But every time I copy-and-pasted a chunk of code, I had to change the data frame or variable name to make the code work for the new case. This worked fine for one or two charts, but became very tedious when I had to create many charts. And I often had to make more than 50 charts for a typical client project.

Название: Tableau Prep: Up & Running: Self-Service Data Preparation for Better Analysis, First Edition
Автор: Carl Allchin
Издательство: O’Reilly Media
Год: 2020-08-03
Формат: true pdf, epub
Страниц: 466
Размер: 34.5 Mb, 30.3 Mb
Язык: English

For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin from The Information Lab in London gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets.

Название: IBM Watson Solutions for Machine Learning
Автор: Arindam Ganguly
Издательство: BPB Publications
Год: 2021
Формат: ePUB
Страниц: 218
Размер: 10 Mb
Язык: English

Utilize Python and IBM Watson to put real-life use cases into production.
Key Features
● Use of popular Python packages for building Machine Learning solutions from scratch.
● Practice various IBM Watson Machine Learning tools for Computer Vision and Natural Language Processing applications.
● Expert-led best practices to put your Machine Learning solutions into the production environment.

Название: Elements of Deep Learning for Computer Vision: Explore Deep Neural Network Architectures, PyTorch, Object Detection Algorithms, and Computer Vision Applications for Python Coders
Автор: Bharat Sikka
Издательство: BPB Publications
Год: 2021
Страниц: 288
Язык: английский
Формат: epub
Размер: 10.1 MB

Conceptualizing deep learning in computer vision applications using PyTorch and Python libraries. Elements of Deep Learning for Computer Vision gives a thorough understanding of deep learning and provides highly accurate computer vision solutions while using libraries like PyTorch. This book introduces you to Deep Learning and explains all the concepts required to understand the basic working, development, and tuning of a neural network using Pytorch. The book then addresses the field of computer vision using two libraries, including the Python wrapper/version of OpenCV and PIL. After establishing and understanding both the primary concepts, the book addresses them together by explaining Convolutional Neural Networks(CNNs). CNNs are further elaborated using top industry standards and research to explain how they provide complicated Object Detection in images and videos, while also explaining their evaluation.