Principles Of Soft Computing Using Python Programming

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Principles of Soft Computing Using Python Programming

Author : Gypsy Nandi
Publisher : John Wiley & Sons
ISBN 13 : 1394173156
Total Pages : 356 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Principles of Soft Computing Using Python Programming by : Gypsy Nandi

Download or read book Principles of Soft Computing Using Python Programming written by Gypsy Nandi and published by John Wiley & Sons. This book was released on 2023-11-28 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Soft Computing Using Python Programming An accessible guide to the revolutionary techniques of soft computing Soft computing is a computing approach designed to replicate the human mind’s unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. Readers of Principles of Soft Computing Using Python Programming will also find: Each chapter accompanied with Python codes and step-by-step comments to illustrate applications Detailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more Exercises at the end of each chapter including both short- and long-answer questions to reinforce learning Principles of Soft Computing Using Python Programming is ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.

Soft Computing and Machine Learning with Python

Author : Zoran Gacovski
Publisher : Arcler Press
ISBN 13 : 9781773615004
Total Pages : 0 pages
Book Rating : 4.6/5 (15 download)

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Book Synopsis Soft Computing and Machine Learning with Python by : Zoran Gacovski

Download or read book Soft Computing and Machine Learning with Python written by Zoran Gacovski and published by Arcler Press. This book was released on 2018-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A definition states that the machine learning is a discipline that allows the computers to learn without explicit programming. The challenge in machine learning is how to accurately (algorithmic) describe some kinds of tasks that people can easily solve (for example face recognition, speech recognition etc.). Such algorithms can be defined for certain types of tasks, but they are very complex and/or require large knowledge base (e.g. machine translation MT). In many of the areas - data are continuously collected in order to get "some knowledge out of them" for example - in medicine (patient data and therapy), in marketing (the users / customers and what they buy, what are they interested in, how products are rated etc.). Data analysis of this scale requires approaches that will allow you to discover patterns and dependences among the data, that are neither known, nor obvious, but can be useful (data mining). Information retrieval - IR, is finding existing information as quickly as possible. For example, web browser - finds page within the (large) set of the entire WWW. Machine Learning - ML, is a set of techniques that generalize existing knowledge of the new information, as precisely as possible. An example is the speech recognition. Data mining - DM, primarily relates to the disclosure of something hidden within the data, some new dependence, which have not previously been known. Example is CRM - the customer analysis. Python is high-level programming language that is very suitable for web development, programming of games, and data manipulation / machine learning applications. It is object-oriented language and interpreter as well, allowing the source code to execute directly (without compiling). This edition covers machine learning theory and applications with Python, and includes chapters for soft computing theory, machine learning techniques/applications, Python language details, and machine learning examples with Python. Book jacket.

Introduction to Computation and Programming Using Python, second edition

Author : John V. Guttag
Publisher : MIT Press
ISBN 13 : 0262529629
Total Pages : 466 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Introduction to Computation and Programming Using Python, second edition by : John V. Guttag

Download or read book Introduction to Computation and Programming Using Python, second edition written by John V. Guttag and published by MIT Press. This book was released on 2016-08-12 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.

Introduction to Computational Models with Python

Author : Jose M. Garrido
Publisher : CRC Press
ISBN 13 : 1498712045
Total Pages : 492 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Introduction to Computational Models with Python by : Jose M. Garrido

Download or read book Introduction to Computational Models with Python written by Jose M. Garrido and published by CRC Press. This book was released on 2015-08-28 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m

Principles of Soft Computing Using Python Programming

Author : Gypsy Nandi
Publisher : John Wiley & Sons
ISBN 13 : 139417313X
Total Pages : 356 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Principles of Soft Computing Using Python Programming by : Gypsy Nandi

Download or read book Principles of Soft Computing Using Python Programming written by Gypsy Nandi and published by John Wiley & Sons. This book was released on 2023-12-19 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Soft Computing Using Python Programming An accessible guide to the revolutionary techniques of soft computing Soft computing is a computing approach designed to replicate the human mind’s unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. Readers of Principles of Soft Computing Using Python Programming will also find: Each chapter accompanied with Python codes and step-by-step comments to illustrate applications Detailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more Exercises at the end of each chapter including both short- and long-answer questions to reinforce learning Principles of Soft Computing Using Python Programming is ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.

Scientific Computing with Python - Second Edition

Author : CLAUS. FUHRER
Publisher :
ISBN 13 : 9781838822323
Total Pages : 392 pages
Book Rating : 4.8/5 (223 download)

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Book Synopsis Scientific Computing with Python - Second Edition by : CLAUS. FUHRER

Download or read book Scientific Computing with Python - Second Edition written by CLAUS. FUHRER and published by . This book was released on 2021-07-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage this example-packed, comprehensive guide for all your Python computational needs Key Features: Learn the first steps within Python to highly specialized concepts Explore examples and code snippets taken from typical programming situations within scientific computing. Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing. Book Description: Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing. What You Will Learn: Understand the building blocks of computational mathematics, linear algebra, and related Python objects Use Matplotlib to create high-quality figures and graphics to draw and visualize results Apply object-oriented programming (OOP) to scientific computing in Python Discover how to use pandas to enter the world of data processing Handle exceptions for writing reliable and usable code Cover manual and automatic aspects of testing for scientific programming Get to grips with parallel computing to increase computation speed Who this book is for: This book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.

Powerful Python

Author : Aaron Maxwell
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098175662
Total Pages : 197 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Powerful Python by : Aaron Maxwell

Download or read book Powerful Python written by Aaron Maxwell and published by "O'Reilly Media, Inc.". This book was released on 2024-11-08 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Once you've mastered the basics of Python, how do you skill up to the top 1%? How do you focus your learning time on topics that yield the most benefit for production engineering and data teams—without getting distracted by info of little real-world use? This book answers these questions and more. Based on author Aaron Maxwell's software engineering career in Silicon Valley, this unique book focuses on the Python first principles that act to accelerate everything else: the 5% of programming knowledge that makes the remaining 95% fall like dominos. It's also this knowledge that helps you become an exceptional Python programmer, fast. Learn how to think like a Pythonista: explore advanced Pythonic thinking Create lists, dicts, and other data structures using a high-level, readable, and maintainable syntax Explore higher-order function abstractions that form the basis of Python libraries Examine Python's metaprogramming tool for priceless patterns of code reuse Master Python's error model and learn how to leverage it in your own code Learn the more potent and advanced tools of Python's object system Take a deep dive into Python's automated testing and TDD Learn how Python logging helps you troubleshoot and debug more quickly

Under One Condition: An Introduction to Computer Science Principles and Programming in Python

Author : Danielle K. Park
Publisher : Danielle K. Park
ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.7/5 (39 download)

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Book Synopsis Under One Condition: An Introduction to Computer Science Principles and Programming in Python by : Danielle K. Park

Download or read book Under One Condition: An Introduction to Computer Science Principles and Programming in Python written by Danielle K. Park and published by Danielle K. Park. This book was released on 2021-04-01 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Under One Condition: An Introduction to Computer Science Principles and Programming in Python is designed for curious middle school and building high school students. This book covers topics including design and development, computing errors, abstraction, mutability, computer networks, safe computing, and the many aspects of data.

Introduction to Programming and Problem-Solving Using Scala

Author : Mark C. Lewis
Publisher : CRC Press
ISBN 13 : 1498730965
Total Pages : 591 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Introduction to Programming and Problem-Solving Using Scala by : Mark C. Lewis

Download or read book Introduction to Programming and Problem-Solving Using Scala written by Mark C. Lewis and published by CRC Press. This book was released on 2016-10-14 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the first edition: "The well-written, comprehensive book...[is] aiming to become a de facto reference for the language and its features and capabilities. The pace is appropriate for beginners; programming concepts are introduced progressively through a range of examples and then used as tools for building applications in various domains, including sophisticated data structures and algorithms...Highly recommended. Students of all levels, faculty, and professionals/practitioners.—D. Papamichail, University of Miami in CHOICE Magazine Mark Lewis’ Introduction to the Art of Programming Using Scala was the first textbook to use Scala for introductory CS courses. Fully revised and expanded, the new edition of this popular text has been divided into two books. Introduction to Programming and Problem-Solving Using Scala is designed to be used in first semester college classrooms to teach students beginning programming with Scala. The book focuses on the key topics students need to know in an introductory course, while also highlighting the features that make Scala a great programming language to learn. The book is filled with end-of-chapter projects and exercises, and the authors have also posted a number of different supplements on the book website. Video lectures for each chapter in the book are also available on YouTube. The videos show construction of code from the ground up and this type of "live coding" is invaluable for learning to program, as it allows students into the mind of a more experienced programmer, where they can see the thought processes associated with the development of the code. About the Authors Mark Lewis is a Professor at Trinity University. He teaches a number of different courses, spanning from first semester introductory courses to advanced seminars. His research interests included simulations and modeling, programming languages, and numerical modeling of rings around planets with nearby moons. Lisa Lacher is an Assistant Professor at the University of Houston, Clear Lake with over 25 years of professional software development experience. She teaches a number of different courses spanning from first semester introductory courses to graduate level courses. Her research interests include Computer Science Education, Agile Software Development, Human Computer Interaction and Usability Engineering, as well as Measurement and Empirical Software Engineering.

Start Programming Using HTML, CSS, and JavaScript

Author : Iztok Fajfar
Publisher : CRC Press
ISBN 13 : 1498731457
Total Pages : 453 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Start Programming Using HTML, CSS, and JavaScript by : Iztok Fajfar

Download or read book Start Programming Using HTML, CSS, and JavaScript written by Iztok Fajfar and published by CRC Press. This book was released on 2015-10-14 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is a manual for undergraduate students in engineering and the natural sciences to discover how computer programming works. Using a dialog format between two students and a professor, the text teaches students how the mainstream web languages HTML, CSS, and JavaScript interact and how to harness their capabilities in practical settings. Each chapter focuses on a specific theme supported by a gradual development of engaging worked examples of live web documents and applications using the three languages.

Python Programming

Author : John M. Zelle
Publisher : Franklin, Beedle & Associates, Inc.
ISBN 13 : 1887902996
Total Pages : 533 pages
Book Rating : 4.8/5 (879 download)

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Book Synopsis Python Programming by : John M. Zelle

Download or read book Python Programming written by John M. Zelle and published by Franklin, Beedle & Associates, Inc.. This book was released on 2004 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.

Object-Orientation, Abstraction, and Data Structures Using Scala

Author : Mark C. Lewis
Publisher : CRC Press
ISBN 13 : 1498732178
Total Pages : 662 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Object-Orientation, Abstraction, and Data Structures Using Scala by : Mark C. Lewis

Download or read book Object-Orientation, Abstraction, and Data Structures Using Scala written by Mark C. Lewis and published by CRC Press. This book was released on 2017-01-06 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the first edition: "The well-written, comprehensive book...[is] aiming to become a de facto reference for the language and its features and capabilities. The pace is appropriate for beginners; programming concepts are introduced progressively through a range of examples and then used as tools for building applications in various domains, including sophisticated data structures and algorithms...Highly recommended. Students of all levels, faculty, and professionals/practitioners. —D. Papamichail, University of Miami in CHOICE Magazine Mark Lewis’ Introduction to the Art of Programming Using Scala was the first textbook to use Scala for introductory CS courses. Fully revised and expanded, the new edition of this popular text has been divided into two books. Object-Orientation, Abstraction, and Data Structures Using Scala, Second Edition is intended to be used as a textbook for a second or third semester course in Computer Science. The Scala programming language provides powerful constructs for expressing both object orientation and abstraction. This book provides students with these tools of object orientation to help them structure solutions to larger, more complex problems, and to expand on their knowledge of abstraction so that they can make their code more powerful and flexible. The book also illustrates key concepts through the creation of data structures, showing how data structures can be written, and the strengths and weaknesses of each one. Libraries that provide the functionality needed to do real programming are also explored in the text, including GUIs, multithreading, and networking. The book is filled with end-of-chapter projects and exercises, and the authors have also posted a number of different supplements on the book website. Video lectures for each chapter in the book are also available on YouTube. The videos show construction of code from the ground up and this type of "live coding" is invaluable for learning to program, as it allows students into the mind of a more experienced programmer, where they can see the thought processes associated with the development of the code. About the Authors Mark Lewis is an Associate Professor at Trinity University. He teaches a number of different courses, spanning from first semester introductory courses to advanced seminars. His research interests included simulations and modeling, programming languages, and numerical modeling of rings around planets with nearby moons. Lisa Lacher is an Assistant Professor at the University of Houston, Clear Lake with over 25 years of professional software development experience. She teaches a number of different courses spanning from first semester introductory courses to graduate level courses. Her research interests include Computer Science Education, Agile Software Development, Human Computer Interaction and Usability Engineering, as well as Measurement and Empirical Software Engineering.

Introduction to Computing Using Python

Author : Ljubomir Perkovic
Publisher : John Wiley & Sons
ISBN 13 : 1118890949
Total Pages : 482 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Introduction to Computing Using Python by : Ljubomir Perkovic

Download or read book Introduction to Computing Using Python written by Ljubomir Perkovic and published by John Wiley & Sons. This book was released on 2015-04-20 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perkovic's Introduction to Computing Using Python: An Application Development Focus, 2nd Edition is more than just an introduction to programming. It is an inclusive introduction to Computer Science that takes the pedagogical approach of "the right tool for the job at the right moment," and focuses on application development. The approach is hands-on and problem-oriented, with practice problems and solutions appearing throughout the text. The text is imperative-first, but does not shy away from discussing objects early where appropriate. Discussions of user-defined classes and Object-Oriented Programming appear later in the text, when students have more background and concepts can be motivated. Chapters include an introduction to problem solving techniques and classical algorithms, problem-solving and programming and ways to apply core skills to application development. This edition also includes examples and practice problems provided within a greater variety of domains. It also includes case studies integrated into additional chapters, providing students with real life applications using the concepts and tools covered in the chapters.

Object-Orientation, Abstraction, and Data Structures Using Scala, Second Edition

Author : Mark C. Lewis
Publisher : CRC Press
ISBN 13 : 1498732194
Total Pages : 805 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Object-Orientation, Abstraction, and Data Structures Using Scala, Second Edition by : Mark C. Lewis

Download or read book Object-Orientation, Abstraction, and Data Structures Using Scala, Second Edition written by Mark C. Lewis and published by CRC Press. This book was released on 2017-01-06 with total page 805 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the first edition: "The well-written, comprehensive book...[is] aiming to become a de facto reference for the language and its features and capabilities. The pace is appropriate for beginners; programming concepts are introduced progressively through a range of examples and then used as tools for building applications in various domains, including sophisticated data structures and algorithms...Highly recommended. Students of all levels, faculty, and professionals/practitioners.? —D. Papamichail, University of Miami in CHOICE Magazine ? Mark Lewis’ Introduction to the Art of Programming Using Scala?was the first textbook to use Scala for introductory CS courses. Fully revised and expanded, the new edition of this popular text has been divided into two books. Object-Orientation, Abstraction, and Data Structures Using Scala, Second Edition is intended to be used as a textbook for a second or third semester course in Computer Science. The Scala programming language provides powerful constructs for expressing both object orientation and abstraction. This book provides students with these tools of object orientation to help them structure solutions to larger, more complex problems, and to expand on their knowledge of abstraction so that they can make their code more powerful and flexible. The book also illustrates key concepts through the creation of data structures, showing how data structures can be written, and the strengths and weaknesses of each one. Libraries that provide the functionality needed to do real programming are also explored in the text, including GUIs, multithreading, and networking. The book is filled with end-of-chapter projects and exercises, and the authors have also posted a number of different supplements on the book website. Video lectures for each chapter in the book are also available on YouTube. The videos show construction of code from the ground up and this type of "live coding" is invaluable for learning to program, as it allows students into the mind of a more experienced programmer, where they can see the thought processes associated with the development of the code. About the Authors Mark Lewis is an Associate Professor at Trinity University. He teaches a number of different courses, spanning from first semester introductory courses to advanced seminars. His research interests included simulations and modeling, programming languages, and numerical modeling of rings around planets with nearby moons.? Lisa Lacher is an Assistant Professor at the University of Houston, Clear Lake with over 25 years of professional software development experience. She teaches a number of different courses spanning from first semester introductory courses to graduate level courses. Her research interests include Computer Science Education, Agile Software Development, Human Computer Interaction and Usability Engineering, as well as Measurement and Empirical Software Engineering.

Information Systems

Author : Efrem G. Mallach
Publisher : CRC Press
ISBN 13 : 1482223716
Total Pages : 474 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Information Systems by : Efrem G. Mallach

Download or read book Information Systems written by Efrem G. Mallach and published by CRC Press. This book was released on 2015-08-18 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most information systems textbooks overwhelm business students with overly technical information they may not need in their careers. Information Systems: What Every Business Student Needs to Know takes a new approach to the required information systems course for business majors.For each topic covered, the text highlights key "Take-Aways" that aler

14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)

Author : Francisco Martínez Álvarez
Publisher : Springer
ISBN 13 : 3030200558
Total Pages : 617 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) by : Francisco Martínez Álvarez

Download or read book 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) written by Francisco Martínez Álvarez and published by Springer. This book was released on 2019-04-30 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes 57 papers presented at the SOCO 2019 conference held in the historic city of Seville (Spain), in May 2019. Soft computing represents a set of computational techniques in machine learning, computer science and various engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, which featured a number of special sessions, including sessions on: Soft Computing Methods in Manufacturing and Management Systems; Soft Computing Applications in the Field of Industrial and Environmental Enterprises; Optimization, Modeling and Control by Soft Computing Techniques; and Soft Computing in Aerospace, Mechanical and Civil Engineering: New methods and Industrial Applications.

Offensive Security Using Python

Author : Rejah Rehim
Publisher : Packt Publishing Ltd
ISBN 13 : 1835460631
Total Pages : 248 pages
Book Rating : 4.8/5 (354 download)

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Book Synopsis Offensive Security Using Python by : Rejah Rehim

Download or read book Offensive Security Using Python written by Rejah Rehim and published by Packt Publishing Ltd. This book was released on 2024-09-30 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock Python's hacking potential and discover the art of exploiting vulnerabilities in the world of offensive cybersecurity Key Features Get in-depth knowledge of Python's role in offensive security, from fundamentals through to advanced techniques Discover the realm of cybersecurity with Python and exploit vulnerabilities effectively Automate complex security tasks with Python, using third-party tools and custom solutions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionOffensive Security Using Python is your go-to manual for mastering the quick-paced field of offensive security. This book is packed with valuable insights, real-world examples, and hands-on activities to help you leverage Python to navigate the complicated world of web security, exploit vulnerabilities, and automate challenging security tasks. From detecting vulnerabilities to exploiting them with cutting-edge Python techniques, you’ll gain practical insights into web security, along with guidance on how to use automation to improve the accuracy and effectiveness of your security activities. You’ll also learn how to design personalized security automation tools. While offensive security is a great way to stay ahead of emerging threats, defensive security plays an equal role in protecting organizations from cyberattacks. In this book, you’ll get to grips with Python secure coding techniques to improve your ability to recognize dangers quickly and take appropriate action. As you progress, you’ll be well on your way to handling the contemporary challenges in the field of cybersecurity using Python, as well as protecting your digital environment from growing attacks. By the end of this book, you’ll have a solid understanding of sophisticated offensive security methods and be able to stay ahead in the constantly evolving cybersecurity space.What you will learn Familiarize yourself with advanced Python techniques tailored to security professionals' needs Understand how to exploit web vulnerabilities using Python Enhance cloud infrastructure security by utilizing Python to fortify infrastructure as code (IaC) practices Build automated security pipelines using Python and third-party tools Develop custom security automation tools to streamline your workflow Implement secure coding practices with Python to boost your applications Discover Python-based threat detection and incident response techniques Who this book is for This book is for a diverse audience interested in cybersecurity and offensive security. Whether you're an experienced Python developer looking to enhance offensive security skills, an ethical hacker, a penetration tester eager to learn advanced Python techniques, or a cybersecurity enthusiast exploring Python's potential in vulnerability analysis, you'll find valuable insights. If you have a solid foundation in Python programming language and are eager to understand cybersecurity intricacies, this book will help you get started on the right foot.