Download or read book Hacking Discrete Math With Python 3 written by Isabella Romeo and published by Createspace Independent Publishing Platform. This book was released on 2018-06-11 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elementary discrete math for undergraduate computer science or computer engineering students. Covers basic topics including mathematical logic, direct proof, proof by contradiction, proof by contraposition, counter-example, induction, structural induction, elementary number theory, division, sets, sequences, functions, cardinality, counting, recurrence, recursion, and graph theory. Examples are given in Python 3.

Download or read book Scientific Computation written by Bruce Shapiro and published by . This book was released on 2018-08-20 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about hacking, but not just any kind of hacking. It is about mathematical hacking. If you like math and want to use computers to solve math problems, this book is for you. Scientific Computation: Python 3 Hacking for Math Junkies gives an introduction to hacking in Python for students and mathematical scientists. No previous coding experience is needed. This new edition has been updated to cover Python version 3. Computational applications are selected from many mathematical sub-disciplines. Examples include random numbers, statistics, finding roots, interpolation, linear and logistic regression, numerical solution of initial value problems, discrete systems, fractals, principal component analysis, singular value decomposition, clustering, image analysis, and satellite orbits. Over 300 exercises and projects are included for students. All code examples in the book are available for download from a companion website. The book is available in both print and electronic versions.

Download or read book Scientific Computation written by Bruce E. Shapiro and published by . This book was released on 2015-01-11 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is designed to help math junkies -- anyone who likes math, studies math, or uses math in their daily life -- learn about computation. The emphasis is on algorithms. It is appropriate for students with no prior programming experience as well as professional scientists. Topics covered include Python expressions, statements, types, lists, arrays, functions, classes, plotting, list comprehension, recursion, linear systems, computational geometry, root finding, interpolation, polynomial least squares, discrete systems, differential equations, principal component analysis, fractals and chaos."--Cover.

Download or read book The Discrete Math Workbook written by Sergei Kurgalin and published by Springer Nature. This book was released on 2020-08-12 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practically-focused study guide introduces the fundamentals of discrete mathematics through an extensive set of classroom-tested problems. Each chapter presents a concise introduction to the relevant theory, followed by a detailed account of common challenges and methods for overcoming these. The reader is then encouraged to practice solving such problems for themselves, by tackling a varied selection of questions and assignments of different levels of complexity. This updated second edition now covers the design and analysis of algorithms using Python, and features more than 50 new problems, complete with solutions. Topics and features: provides a substantial collection of problems and examples of varying levels of difficulty, suitable for both laboratory practical training and self-study; offers detailed solutions to each problem, applying commonly-used methods and computational schemes; introduces the fundamentals of mathematical logic, the theory of algorithms, Boolean algebra, graph theory, sets, relations, functions, and combinatorics; presents more advanced material on the design and analysis of algorithms, including Turing machines, asymptotic analysis, and parallel algorithms; includes reference lists of trigonometric and finite summation formulae in an appendix, together with basic rules for differential and integral calculus. This hands-on workbook is an invaluable resource for undergraduate students of computer science, informatics, and electronic engineering. Suitable for use in a one- or two-semester course on discrete mathematics, the text emphasizes the skills required to develop and implement an algorithm in a specific programming language.

Download or read book Hacking Math Class with Python written by Peter A. Farrell and published by Createspace Independent Publishing Platform. This book was released on 2015-02-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new kind of math book! Explore math topics from arithmetic to calculus by creating your own graphing and solving tools using Python. Create 2D and 3D graphics, harmonograph and spirograph designs, and fractals in this interactive and visual exploration of mathematics. "A great resource to play with Math and Python via the turtle module, solving equations numerically and 3D graphics via Pi3D." - Amit Saha, author of Doing Math With Python Imagine learning math and Python programming at the same time! You'll learn to use loops, variables, functions, conditionals and lists and apply them to all your math problems. No previous computer experience is required.

Download or read book Coding in Python and Elements of Discrete Mathematics written by Maria Litvin and published by . This book was released on 2019-06-15 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hacking Python 3 written by Sanjib Sinha and published by . This book was released on 2017-03-11 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you seen the film "The Matrix Reloaded"? Well, if you had seen you would have probably recalled the scene where the character Trinity was seen using NMAP to hack the system of a power plant. This book is all about Scanning, Networking and Information Gathering with the help of Python programming language and by the way teaches you major steps of Ethical Hacking.Contents:# Epilogue# PART ONE: LEGAL SIDE, CYBER CRIME AND NETWORKING# Chapter 1 - Legal Side of Hacking# Chapter 2 - Examples of Crime## 2.1 - Black Money and Bitcoin## 2.2 The Great Cyber Robberies ## 2.3 - Biggest Data Heist## 2.4 - Internet: Battleground for Women# Chapter 3 - Hacking and Networking## 3.1 - What Does Network Mean?#PART TWO: PYTHON AND HACKING# Chapter 4 - Object in Python# Chapter 5 - Conditionals# Chapter 6 - Loops## 6.1 - While Loops## 6.2 - For Loops# Chapter 7 - Regular Expressions ## 7.1 - Using 're' Module## 7.2 - Reusing With Regular Expressions## 7.3 - Search With Regular Expressions# Chapter 8. - Exceptions, Errors# Chapter 9 - Functions## 9.1 - Return Values## 9.2 - Generate Functions## 9.3 - Lists of Arguments## 9.4 - Named Arguments# Chapter 10 - Classes## 10.1 - Object Oriented Methodology## 10.2 - Classes and Objects## 10.3 - Write a Game "Good VS Bad"## 10.4 - Primary Class and Object## 10.5 - Accessing Object Data## 10.6 - Polymorphism## 10.7 - Using Generators## 10.8 -Decorator# Chapter 11 - File Input, Output# Chapter 12 - Containers## 12.1 - Tuple and List Object## 12.2 - Dictionary Object# Chapter 13 - Module# Chapter 14 - Debugging, UnitTestChapter 15 - Socket and Networking# Chapter 16 - Importing Nmap Module# Chapter 17 - Nmap Network Scanner#PART THREE: PYTHON AND SECURITY ANALYSIS, RECONNAISSANCE SCANNER# Chapter 18 - TLD Scanner# Chapter 19 - Get IP Address# Chapter 20 - Whois Search# Chapter 21 - NMAP Port Scan# Chapter 22 - Robots Exclusion# Prologue

Download or read book Beginning Ethical Hacking with Python written by Wayne Worley and published by Createspace Independent Publishing Platform. This book was released on 2017-03-08 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ethical hacking is closely related to Python. For this reason this book is organized in three parts. The first part deals with the basics of ethical hacking; the second part deals with Python 3; and the third part deals with more advanced features of ethical hacking.This book will set you up with a foundation that will help you understand the advanced concepts of hacking in the future. Learn Ethical Hacking with Python 3 touches the core issues of cyber security: in the modern world of interconnected computers and the Internet, security is increasingly becoming one of the most important features of programming.

Download or read book Beginning Ethical Hacking With Python written by Matthew Marsh and published by Createspace Independent Publishing Platform. This book was released on 2017-05-09 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of hacking in the future. Learn Ethical Hacking with Python 3 touches the core issues of cyber security.In the modern world of interconnected computers and the Internet, security is increasingly becoming one of the most important features of programming.Ethical hacking is closely related to Python. For this reason this book is organized in three parts. The first part deals with the basics of ethical hacking; the second part deals with Python 3; and the third part deals with more advanced features of ethical hacking.

Download or read book Programming and Mathematical Thinking written by and published by . This book was released on 2014 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concepts of discrete mathematics can help clarify a programmer's thinking about software design problems and can make many solutions obvious. Starting at an elementary level, this book teaches about fundamental structures of discrete mathematics together with many simple but powerful programming techniques using those structures.

Download or read book Math Adventures with Python written by Peter Farrell and published by No Starch Press. This book was released on 2019-01-08 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus! Math Adventures with Python will show you how to harness the power of programming to keep math relevant and fun. With the aid of the Python programming language, you'll learn how to visualize solutions to a range of math problems as you use code to explore key mathematical concepts like algebra, trigonometry, matrices, and cellular automata. Once you've learned the programming basics like loops and variables, you'll write your own programs to solve equations quickly, make cool things like an interactive rainbow grid, and automate tedious tasks like factoring numbers and finding square roots. You'll learn how to write functions to draw and manipulate shapes, create oscillating sine waves, and solve equations graphically. You'll also learn how to: - Draw and transform 2D and 3D graphics with matrices - Make colorful designs like the Mandelbrot and Julia sets with complex numbers - Use recursion to create fractals like the Koch snowflake and the Sierpinski triangle - Generate virtual sheep that graze on grass and multiply autonomously - Crack secret codes using genetic algorithms As you work through the book's numerous examples and increasingly challenging exercises, you'll code your own solutions, create beautiful visualizations, and see just how much more fun math can be!

Download or read book Python for Scientists written by John M. Stewart and published by Cambridge University Press. This book was released on 2017-07-20 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.

Download or read book Scientific Computation written by Bruce Shapiro and published by . This book was released on 2018-07 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific computation using Python 3 and the Jupyter notebook. Earlier editions were sub-titled "Python Hacking for Math Junkies" and covered only Python 2. This version is updated to cover Python Version 3.

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Download or read book Practical Cryptography in Python written by Seth James Nielson and published by Apress. This book was released on 2019-09-27 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop a greater intuition for the proper use of cryptography. This book teaches the basics of writing cryptographic algorithms in Python, demystifies cryptographic internals, and demonstrates common ways cryptography is used incorrectly. Cryptography is the lifeblood of the digital world’s security infrastructure. From governments around the world to the average consumer, most communications are protected in some form or another by cryptography. These days, even Google searches are encrypted. Despite its ubiquity, cryptography is easy to misconfigure, misuse, and misunderstand. Developers building cryptographic operations into their applications are not typically experts in the subject, and may not fully grasp the implication of different algorithms, modes, and other parameters. The concepts in this book are largely taught by example, including incorrect uses of cryptography and how "bad" cryptography can be broken. By digging into the guts of cryptography, you can experience what works, what doesn't, and why. What You’ll Learn Understand where cryptography is used, why, and how it gets misused Know what secure hashing is used for and its basic propertiesGet up to speed on algorithms and modes for block ciphers such as AES, and see how bad configurations breakUse message integrity and/or digital signatures to protect messagesUtilize modern symmetric ciphers such as AES-GCM and CHACHAPractice the basics of public key cryptography, including ECDSA signaturesDiscover how RSA encryption can be broken if insecure padding is usedEmploy TLS connections for secure communicationsFind out how certificates work and modern improvements such as certificate pinning and certificate transparency (CT) logs Who This Book Is For IT administrators and software developers familiar with Python. Although readers may have some knowledge of cryptography, the book assumes that the reader is starting from scratch.

Download or read book Data Science and Machine Learning written by Dirk P. Kroese and published by CRC Press. This book was released on 2019-11-20 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Download or read book Deep Learning with Python written by Francois Chollet and published by Simon and Schuster. This book was released on 2017-11-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance