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Python Tutorials - Herong's Tutorial Examples

Python Tutorials - Herong's Tutorial Examples PDF Author: Herong Yang
Publisher: HerongYang.com
ISBN:
Category : Computers
Languages : en
Pages : 275

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Book Description
This Python tutorial book is a collection of notes and sample codes written by the author while he was learning Python language himself. Topics include: installing Python environments on Windows, macOS and Linux computer; Python built-in data types; variables, operations, expressions and statements; user-defined functions; iterators, generators and list comprehensions; modules and packages; sys, os, and pathlib modules; Anaconda Python environment manager; NumPy, SciPy libraries. Updated in 2022 (Version v2.14) with minor changes. For latest updates and free sample chapters, visit https://www.herongyang.com/Python.

Python Tutorials - Herong's Tutorial Examples

Python Tutorials - Herong's Tutorial Examples PDF Author: Herong Yang
Publisher: HerongYang.com
ISBN:
Category : Computers
Languages : en
Pages : 275

View

Book Description
This Python tutorial book is a collection of notes and sample codes written by the author while he was learning Python language himself. Topics include: installing Python environments on Windows, macOS and Linux computer; Python built-in data types; variables, operations, expressions and statements; user-defined functions; iterators, generators and list comprehensions; modules and packages; sys, os, and pathlib modules; Anaconda Python environment manager; NumPy, SciPy libraries. Updated in 2022 (Version v2.14) with minor changes. For latest updates and free sample chapters, visit https://www.herongyang.com/Python.

Non-programmers Tutorial for Python

Non-programmers Tutorial for Python PDF Author: Josh Cogliati
Publisher: Lulu.com
ISBN: 1387311131
Category : Computers
Languages : en
Pages : 96

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Book Description
This book is a tutorial for the Python 2 programming language designed for someone with no programming experience. (Note that there are other editions of this book for Python 2.6+ and for Python 3+)

An Introduction to Scientific Computing with MATLAB® and Python Tutorials

An Introduction to Scientific Computing with MATLAB® and Python Tutorials PDF Author: Sheng Xu
Publisher: CRC Press
ISBN: 1000596540
Category : Mathematics
Languages : en
Pages : 397

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Book Description
This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing. This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions. •Where is the method applied? •How is the method developed? •How is the method implemented? •How well does the method work? The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills.

Neural Network Tutorials - Herong's Tutorial Examples

Neural Network Tutorials - Herong's Tutorial Examples PDF Author: Dr. Herong Yang
Publisher: HerongYang.com
ISBN:
Category : Computers
Languages : en
Pages : 126

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Book Description
This book is a collection of notes and sample codes written by the author while he was learning Neural Networks in Machine Learning. Topics include Neural Networks (NN) concepts: nodes, layers, activation functions, learning rates, training sets, etc.; deep playground for classical neural networks; building neural networks with Python; walking through Tariq Rashi's 'Make Your Own Neural Network' source code; using 'TensorFlow' and 'PyTorch' machine learning platforms; understanding CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), GNN (Graph Neural Network). Updated in 2020 (Version 1.20) with Deep Playground tutorials. For latest updates and free sample chapters, visit http://www.herongyang.com/Neural-Network.

Linux Apps Tutorials - Herong's Tutorial Examples

Linux Apps Tutorials - Herong's Tutorial Examples PDF Author: Herong Yang
Publisher: HerongYang.com
ISBN:
Category : Computers
Languages : en
Pages : 155

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Book Description
This book is a collection of notes and sample codes written by the author while he was learning Linux applications. Topics include using managing users and groups; managing files and directories; managing Apache Web server; managing MySQL server; developing Python and PHP scripts; using GCC C/C++ compilers; running graphical applications on GNOME desktop and X11 servers; running Conda - Environment and Package Manager. Updated in 2022 (Version v1.00) with minor updates. For latest updates and free sample chapters, visit https://www.herongyang.com/Linux-Apps.

Linux Tutorials - Herong's Tutorial Examples

Linux Tutorials - Herong's Tutorial Examples PDF Author: Herong Yang
Publisher: HerongYang.com
ISBN:
Category : Computers
Languages : en
Pages : 491

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Book Description
This book is a collection of notes and sample codes written by the author while he was learning Linux systems. Topics include using Cockpit Web portal for admin tasks; using network configuration and security firewall; managing users and groups; managing files and directories; managing NTFS, CIFS, EXT4, LBA, LVM file systems; installing CentOS systems; using SELinux (Security-Enhanced Linux) system; DNF/YUM software package manager; managing MySQL server; developing Python and PHP scripts; using GCC C/C++ compilers; managing vsftpd - Very Secure FTP daemon; managing Postfix and Dovecot servers for emails; managing directory service with OpenLDAP; running graphical applications on GNOME desktop and X11 servers; running Conda - Environment and Package Manager. Updated in 2022 (Version v5.40) with minor updates. For latest updates and free sample chapters, visit https://www.herongyang.com/Linux.

Natural Computing with Python

Natural Computing with Python PDF Author: Zaccone Giancarlo
Publisher: BPB Publications
ISBN: 9389328136
Category : Computers
Languages : en
Pages : 275

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Book Description
Step-by-step guide to learn and solve complex computational problems with Nature Inspired algorithms Key features Artificial Neural Networks Deep Learning models using Keras Quantum Computers and Programming Genetic Algorithms, CNN and RNNs Swarm Intelligence Systems Reinforcement Learning using OpenAI Artificial Life DNA computing Fractals Description Natural Computing is the field of research inspired by nature, that allows the development of new algorithms to solve complex problems, leads to the synthesis of natural models, and may result in the design of new computing systems. This book exactly aims to educate you with practical examples on topics of importance associated with research field of Natural computing. The initial few chapters will quickly walk you through Neural Networks while describing deep learning architectures such as CNN, RNN and AutoEncoders using Keras. As you progress further, you'll gain understanding to develop genetic algorithm to solve traveling saleman problem, implement swarm intelligence techniques using the SwarmPackagePy and Cellular Automata techniques such as Game of Life, Langton's ant, etc. The latter half of the book will introduce you to the world of Fractals such as such as the Cantor Set and the Mandelbrot Set, develop a quantum program with the QiSkit tool that runs on a real quantum computing platform, namely the IBM Q Machine and a Python simulation of the Adleman experiment that showed for the first time the possibility of performing computations at the molecular level. What will you learn Mastering Artificial Neural Networks Developing Artificial Intelligence systems Resolving complex problems with Genetic Programming and Swarm intelligence algorithms Programming Quantum Computers Exploring the mathematical world of fractals Simulating complex systems by Cellular Automata Understanding the basics of DNA computationWho this book is for This book is for all science enthusiasts, in particular who want to understand what are the links between computer sciences and natural systems. Interested readers should have good skills in math and python programming along with some basic knowledge of physics and biology. . Although, some knowledge of the topics covered in the book will be helpful, it is not essential to have worked with the tools covered in the book.Table of contents1. Neural Networks2. Deep Learning3. Genetic Algorithms and Programming4. Swarm Intelligence5. Cellular Automata6. Fractals7. Quantum Computing8. DNA ComputingAbout the authorGiancarlo Zaccone has over ten years of experience in managing research projects in scientific and industrial areas.He is a Software and Systems Engineer Consultant at European Space Agency (ESTEC).Giancarlo holds a master's degree in Physics and an advanced master's degree in Scientific Computing at La Sapienza of Rome. Her LinkedIn Profile: https://www.linkedin.com/in/giancarlozaccone/

Python for Machine Learning

Python for Machine Learning PDF Author: Jason Brownlee
Publisher: Machine Learning Mastery
ISBN:
Category : Computers
Languages : en
Pages : 479

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Book Description
Using clear explanations and step-by-step tutorial lessons, you will learn the underlying mechanics of the Python language, the tools in its ecosystem, tips and tricks, and much more.

The Power of Python

The Power of Python PDF Author: Rachel Keranen
Publisher: Cavendish Square Publishing, LLC
ISBN: 1502629496
Category : Juvenile Nonfiction
Languages : en
Pages : 112

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Book Description
Though Python takes its name from the comical British television series Monty Python's Flying Circus, the coding language is seriously powerful. Guido van Rossum, the programmer who wrote Python, was motivated to create a coding language that is intuitive and easy to understand. This book traces how van Rossum achieved his goal and how both novice programmers and experts use Python to create apps like Instagram and Pinterest and to achieve other objectives.

Beginners' Artificial Intelligence and Python Programming

Beginners' Artificial Intelligence and Python Programming PDF Author: Olubayo Adekanmbi
Publisher: eBookIt.com
ISBN: 0998401420
Category : Computers
Languages : en
Pages : 150

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Book Description
The book demystifies the concept of Artificial Intelligence (AI) in a friendly manner to kids, with the goal of stimulating their curiosity and driving their interest in learning about AI. After the generic introductions to the core concepts like machine learning, deep learning and reinforcement learning, the students are guided into step-by-step programming with Python. The intention is to transit beyond the traditional code-first approach to understanding broad concepts that will sufficiently motivate a desire to learn coding. The book is useful for students in Grades 4-8 and any adult who wants to learn the fundamental principles in a fun-filled and exciting way.