Handbook Of Computer Programming With Python
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Handbook Of Computer Programming With Python
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Author : Dimitrios Xanthidis
language : en
Publisher: CRC Press
Release Date : 2022-12-12
Handbook Of Computer Programming With Python written by Dimitrios Xanthidis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Computers categories.
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.
Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21
Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Python Recipes Handbook
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Author : Joey Bernard
language : en
Publisher: Apress
Release Date : 2016-11-08
Python Recipes Handbook written by Joey Bernard and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-08 with Computers categories.
Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library. Python Recipes Handbook gives you the most common and contemporary code snippets, using pandas (Python Data Analysis Library), NumPy, and other numerical Python packages. What You'll Learn Code with the pandas (Python Data Analysis Library) Work with the various Python algorithms useful for today's big data analytics and cloud applications Use NumPy and other numerical Python packages and code for doing various kinds of analysis Discover Python's new popular modules, packages, extensions and templates library Who This Book Is For This handy reference is for those with some experience with Python.
Advanced Guide To Python 3 Programming
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Author : John Hunt
language : en
Publisher: Springer Nature
Release Date : 2019-09-18
Advanced Guide To Python 3 Programming written by John Hunt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-18 with Computers categories.
Advanced Guide to Python 3 Programming delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. There are nine different sections within the book covering Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive programming, and Networking. Each section is self-contained and can either be read on its own or as part of the book as a whole. This book is aimed at the those who have learnt the basics of the Python 3 language but want to delve deeper into Python’s eco system of additional libraries and modules, to explore concurrency and parallelism, to create impressive looking graphical interfaces, to work with databases and files and to provide professional logging facilities.
Python Programming Fundamentals
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Author : Kent D. Lee
language : en
Publisher: Springer
Release Date : 2015-01-07
Python Programming Fundamentals written by Kent D. Lee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-07 with Computers categories.
This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally. Features: incudes numerous examples and practice exercises throughout the text, with additional exercises, solutions and review questions at the end of each chapter; highlights the patterns which frequently appear when writing programs, reinforcing the application of these patterns for problem-solving through practice exercises; introduces the use of a debugger tool to inspect a program, enabling students to discover for themselves how programs work and enhance their understanding; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides instructional videos and additional information for students, as well as support materials for instructors, at an associated website.
Python Programming
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Author : John M. Zelle
language : en
Publisher: Franklin, Beedle & Associates, Inc.
Release Date : 2004
Python Programming written by John M. Zelle and has been published by Franklin, Beedle & Associates, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
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.
Elements Of Programming Interviews
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Author : Adnan Aziz
language : en
Publisher: EPI
Release Date : 2012
Elements Of Programming Interviews written by Adnan Aziz and has been published by EPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business & Economics categories.
The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns.
Python Programming Fundamentals
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Author : Nischay kumar Hegde
language : en
Publisher: Educreation Publishing
Release Date :
Python Programming Fundamentals written by Nischay kumar Hegde and has been published by Educreation Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
This book has been written with two categories of readers in mind. This book can be manual for those who would want to excel in Python programming as well as for those who are new to Python programming and would want to learn. I hope that you will find what follows both instructive and at times entertaining too. The book is designed for programmers who already have some experience of using a modern high level procedural programming language like C/ C++. The book concentrates on the things that are essential to understand Python programming. Those who already know C will find the contents and example code snippets a bit interested. The syntax and coding constructs of Python programming paradigm is nearer to C but not exact. From my point of view, what matters for a programmer is "Logic" and "Syntax". It has been inevitable for programmers to learn and practice emerging programming paradigms. This is the first edition of the textbook hence a lot of brainstorming was required in order to properly structure each and every chapter. Appendix A addresses exercise questions of "Python for Everybody" by Charles R Severance. Appendix B is about Python solution to few commonly found programming problems. All the programs presented in the textbook are tested using PyCharm IDE. I hope the book meets the requirements of student fraternity and remains reachable throughout its multiple entry of editions. Also, PyCharm IDE installation guidelines included in the textbook.
Python
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Author : Toby Donaldson
language : en
Publisher: Peachpit Press
Release Date : 2008-12-04
Python written by Toby Donaldson and has been published by Peachpit Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-04 with Computers categories.
Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains such as Web, database access, desktop GUIs, game and software development, and network programming. Fans of Python use the phrase "batteries included" to describe the standard library, which covers everything from asynchronous processing to zip files. The language itself is a flexible powerhouse that can handle practically any application domain. This task-based tutorial is for students with no programming experience as well as those programmers who have some experience with the programming language and now want to take their skills to the next level. The book walks a reader through all the fundamentals and then moves on to more advanced topics. It's a complete end-to-end tutorial and reference.
Machine Learning Handbook
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Author : Karen Mazidi
language : en
Publisher:
Release Date : 2020-12-03
Machine Learning Handbook written by Karen Mazidi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with categories.
Machine Learning is a valuable skill for today's computing professionals. This handbook provides the guidance you need in building your skill set in this fast-growing field. R and Python programming are introduced in tutorials, and code samples are given throughout the book. In addition, all code samples are available in a GitHub repo, and a YouTube channel features explanatory video tutorials.