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.
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.
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.
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.
Download or read book The Practice of Computing Using Python written by William F. Punch and published by Addison-Wesley Longman. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: NOTE: You are purchasing a standalone product; MyProgrammingLab does not come packaged with this content. If you wouldlike to purchase both the physical text and MyProgrammingLabsearch for ISBN-10: 0132992833/ISBN-13: 9780132992831 . That packageincludes ISBN-10: 013280557X/ISBN-13: 9780132805575 and ISBN-10: 0132831325/ISBN-13: 9780132831321. MyProgrammingLab should only be purchased when required by an instructor. A problem-solving approach to programming with Python. The Practice of Computing Using Python introduces CS1 students (majors and non-majors) to computational thinking using Python. With data-manipulation as a theme, readers quickly see the value in what they re learning and leave the course with a set of immediately useful computational skills that can be applied to problems they encounter in future pursuits. The book takes an object-use-first approach writing classes is covered only after students have mastered using objects. This edition is available with MyProgrammingLab, an innovative online homework and assessment tool. Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming. "
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.
Download or read book Python for Beginners written by Learning Python In Deep and published by . This book was released on 2020-10-29 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: If You Are Looking for a Guide That Introduces You Step By Step into The Articulated World of Python Programming Then Keep Reading... It can be difficult to get started with coding if you have not the right support. You may have looked at some of the most popular coding languages, such as C++ or Java and were a little scared of what you have seen. You may have bought ebooks that have been filled to the edge with letters and symbols that you just didn't understand, and you were frustrated and just wanted to go away. Many people are afraid of programming and feel like it's just too hard. But with this Python programming language guide, filled with examples and exercises, you will find that even some of the more complex parts of the code are going to be easier to handle and you will find that it can be easier than ever to learn about coding and even to read it as a professional. This guide will give the basic principles you need to start with Python programming. We will start a little talk about what Python programming is, as well as some of the steps you need to take to download the program and gives you some more information to actually understand why this program is so great! We will then step further to some keywords that will be useful to you when you start the program and even talk about the pros and cons of using Python for all your coding and app needs. The rest of the guide is dedicated to talking about some of the different things you can do with the Python Program as well as various examples of how each of them work. We are talking about adding comments in the code, working with strings and integers, and even working with variables so that they will display correctly in the program. Here Are Some of The Information You Will Find: Why You Should Select Python as Your Language? Which Version of Python Should You Have? Installing The Python Language in Three of The Most Common Operating Systems All You Need To Know About Python Variables and Python Numbers How To Create, Replicate and Store Python Strings (and other 13 activities about strings) Acquire The Necessary Knowledge To Get Hired in Many Companies The Six Most Important Things To Know About Operators and Expressions And More and More About Python Tuples and Sets, Conditional Execution and Iteration Even if you've never written or seen a programming code in your whole life; even if you've never used a coding programm; even if you are bad or have no experience at coding, do not need to worry because this guide was written to guide complete beginners like you. Don't Waste Any More Time To Achieve Your Goals Scrolling Up and Ordering Now!
Download or read book Handbook of Computer Programming with Python written by Dimitrios Xanthidis and published by CRC Press. This book was released on 2022-12-12 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems. It can also be used by professionals who possess the necessary theoretical and computational thinking background but are presently making their transition to Python. Key Features: • Discusses concepts such as basic programming principles, OOP principles, database programming, GUI programming, application development, data analytics and visualization, statistical analysis, virtual reality, data structures and algorithms, machine learning, and deep learning. • Provides the code and the output for all the concepts discussed. • Includes a case study at the end of each chapter. This handbook will benefit students of computer science, information systems, and information technology, or anyone who is involved in computer programming (entry-to-intermediate level), data analytics, HCI-GUI, and related disciplines.
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.
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
Download or read book PYTHON FOR BEGINNERS written by Robert Campbell and published by . This book was released on 2021-01-28 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARE YOU LOOKING FOR A COMPLETE GUIDE PYTHON? THEN KEEP READING... Programming has come a long way. The world of programming may have started quite some time ago; it was only a couple of decades ago that it gained attention from computer experts from across the globe. This sudden shift saw some great minds who contributed to the entire age of programming far greater than most. We saw the great GNU project take shape during this era. We came across the rather brilliant Linux. New programming languages were born as well, and people certainly enjoyed these to the utmost. While most of these programming languages worked, there was something that was missing. Surely, something could be done to make coding a less tedious task to do and carry out. That is exactly what a revolutionary new language, named after Monty Python's Flying Circus, did for the world. Immediately, coding became so much easier for programmers. The use of this language started gaining momentum, and today, it is set to overtake the only language that stands before it to claim the prestigious spot of being the world's most favored language. This language was the brainchild of Guido Van Rossum. Created in the year 1991, Python has become a byword for efficient and user-friendly programming. This language is what connected the dots and gave programmers the much-needed ease of coding that they have since been yearning for. Naturally, the language was received well by the programming community. Today, it is one of the most important languages for both professionals and students who aim to excel in fields like Machine Learning, automation, artificial intelligence, and so much more. This book covers: - Python - The First Impressions - Getting ready for Python - The world of Variables and Operators - Making Your Program Interactive - List, Tuples and dictionaries - Functions and Modules - Working with Files - Object Oriented Programming And much more. Ready to get started? Click "Buy Now"!
Download or read book Programming in Two Semesters written by Quentin Charatan and published by Springer Nature. This book was released on 2022-10-01 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly accessible textbook teaches programming from first principles. In common with many programming courses, it uses Python as the introductory programming language before going on to use Java as the vehicle for more advanced programming concepts. The first part, which teaches Python, covers fundamental programming concepts, such as data types and control structures and functions. It introduces more complex data types such as lists and dictionaries and also deals with file handling. It introduces object-oriented concepts and ends with a case study bringing together all the topics of the first semester. The second part uses Java to teach advanced concepts and centres around object-oriented programming, teaching key object-oriented concepts such as inheritance and polymorphism. The semester again ends with an advanced case study bringing together all the topics of the second semester. Topics and features: Assumes no prior knowledge, and makes the transition from Python to Java a smooth process Features numerous exercises and also an illustrative case study for each language Examines procedural and object-oriented methodologies, as well as design principles Covers such advanced topics as interfaces and lambda expressions, exceptions and Collections Includes a chapter on graphics programming in Python using Tkinter Introduces the latest Java technology for graphical interfaces, JavaFX Explains design concepts using UML notation Offering a gentle introduction to the field and assuming no prerequisite background, Programming in Two Semesters is the ideal companion to undergraduate modules in software development or programming. In addition, it will serve as a strong primer for professionals looking to strengthen their knowledge of programming with these languages.
Download or read book Python Programming written by Alex Stark and published by . This book was released on 2021-02-03 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you brand new to machine learning and Python?Do you want to learn good coding techniques quickly and easily?Then Python Programming is the book for you!Python is one of the best platforms for those new to programming to begin with. The book will introduce you to the basic concepts of Machine Learning, Python programming language, various program libraries, and supporting platforms. This guide will help you with your journey into the world of Python Machine Learning and help you navigate your way from a newbie to an intermediate level. You'll learn: * Getting Started with Python * The Basic Principles of Python Machine Learning * Getting Started With Data Visualization * The Use of Predictive Analytics * How to start writing anAlgorithm* Everything about Decision Tree* How to work with Data * Neural Networks,Big Data, the Internet of Things (IoT), andCloud Computing * And more...Even if you've never looked at a computer program before and had always thought that learning a computer language would be too difficult, this book can help.With it's easy to understand and simple language, you could soon be wondering why you never thought about trying computer programming before.Get a copy of Python Programming today and start your new adventure now!
Download or read book Python for Beginners written by Robert Campbell and published by Programming. This book was released on 2022-08-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Programming has come a long way. The world of programming may have started quite some time ago; it was only a couple of decades ago that it gained attention from computer experts from across the globe. With real-life examples showing a wide variety of use, Python is now living and breathing in almost every major social platform, web application, and website. All of this sounds interesting and exciting at the same time, but what if you have no prior knowledge about programming? What if you have no understanding of basic concepts and you wish to learn Python? This book covers: Python - The First ImpressionsGetting ready for PythonThe world of Variables and OperatorsMaking Your Program InteractiveList, Tuples and dictionariesFunctions and ModulesWorking with FilesObject Oriented Programming and much more." --
Download or read book Python for Beginners written by Learning Python In Deep and published by . This book was released on 2019-11-19 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: If You Are Looking For A Guide That Introduces You Step By Step Into The Articulated World Of Python Programming Then Keep Reading... It can be difficult to get started with coding if you have not the right support. You may have looked at some of the most popular coding languages, such as C++ or Java and were a little scared of what you have seen. You may have bought ebooks that have been filled to the edge with letters and symbols that you just didn't understand, and you were frustrated and just wanted to go away. Many people are afraid of programming and feel like it's just too hard. But with this Python Programming Language guide, filled with examples and exercises, you will find that even some of the more complex parts of the code are going to be easier to handle and you will find that it can be easier than ever to learn about coding and even to read it as a professional. This guide will give the basic principles you need to start with Python programming. We will start a little talk about what Python programming is, as well as some of the steps you need to take to download the program and gives you some more information to actually understand why this program is so GREAT. We will then step further to some keywords that will be useful to you when you start the program and even talk about the pros and cons of using Python for all your coding and app needs. The rest of the guide is dedicated to talking about some of the different things you can do with the Python Program as well as various examples of how each of them work. We are talking about adding comments in the code, working with strings and integers, and even working with variables so that they will display correctly in the program. Here Are Some Of The Information You Will Find: Why You Should Select Python As Your Language? Which Version Of Python Should You Have? Installing The Python Language In Three Of The Most Common Operating Systems All You Need To Know About Python Variables And Python Numbers How To Create, Replicate and Store Python Strings (and other 13 activities about strings) Acquire The Necessary Knowledge To Get Hired In Many Companies The Six Most Important Things To Know About Operators And Expressions And More And More About Tuples And Sets, Conditional Execution And Iteration! Even if you've never written or seen a programming code in your whole life; Even if you've never used a coding programm; Even if you are bad or have no experience at coding, do not need to worry because this guide was written for complete beginners like you. Don't Waste Any More Time To Achieve Your Goals Scrolling Up And Ordering Now!
Download or read book Python for Software Design written by Allen B. Downey and published by Cambridge University Press. This book was released on 2009-03-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A no-nonsense introduction to software design using the Python programming language. Written for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.
Download or read book Python Programming written by Eric Severance and published by . This book was released on 2023-02-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you brand new to machine learning and Python? Do you want to learn good coding techniques quickly and easily? Then Python Programming is the book for you! Python is one of the best platforms for those new to programming. The book will introduce you to the basic concepts of Machine Learning, Python programming language, various program libraries, and supporting platforms. This guide will help you with your journey into the world of Python Machine Learning and help you navigate your way from a newbie to an intermediate level. You'll learn: - Getting Started with Python - The Basic Principles of Python Machine Learning - Getting Started With Data Visualization - The Use of Predictive Analytics - How to start writing an Algorithm - Everything about Decision Tree - How to work with Data - Neural Networks, Big Data, the Internet of Things (IoT), and Cloud Computing - And more... Even if you've never looked at a computer program before and have always thought that learning a computer language would be too difficult, this book can help. With it's easy-to-understand and simple language, you could soon wonder why you never thought about trying computer programming before.
