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Название: The Complete Python Coding Manual - 17th Edition, 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Страниц: 164
Язык: английский
Формат: pdf
Размер: 72.8 MB

Python - это универсальный язык, и рост его популярности, конечно, неудивителен. Его схожесть с повседневным языком сделала его идеальным компаньоном для Raspberry Pi, который часто является первым шагом в практическое программирование. Но пусть вас не обманывает его дружелюбие к новичкам - в Python есть множество более продвинутых функций. В этом новом издании вы узнаете, как программировать на Python, откроете для себя удивительные проекты для улучшения вашего понимания и найдете способы использования Python для расширения ваших возможностей в области вычислений. Вы также создадите увлекательные проекты, включая программирование клона Space Invaders и обучение Raspberry Pi многозадачности. Давайте начнем программировать!

Название: Data-Driven SEO with Python: Solve SEO Challenges with Data Science Using Python
Автор: Andreas Voniatis
Издательство: Apress
Год: 2023
Страниц: 277
Язык: английский
Формат: pdf
Размер: 11.1 MB

Solve SEO problems using Data Science. This hands-on book is packed with Python code and Data Science techniques to help you generate data-driven recommendations and automate the SEO workload. This book is a practical, modern introduction to data science in the SEO context using Python. With social media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From Machine Learning to Natural Language Processing (NLP) techniques, Data-Driven SEO with Python provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems. This book is ideal for SEO professionals who want to take their industry skills to the next level and enhance their business value, whether they are a new starter or highly experienced in SEO, Python programming, or both.

Название: An Introduction to Finite Element Analysis Using Matlab Tools
Автор: Shuvra Das
Издательство: Springer
Год: 2023
Страниц: 228
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book is an attempt to develop a guide for the user who is interested in learning the method by doing. There is enough discussion of some of the basic theory so that the user can get a broad understanding of the process. And there are many examples with step-by-step instructions for the user to quickly develop some proficiency in using FEA. We have used Matlab and its PDE toolbox for the examples in this text. The syntax and the modeling process are easy to understand and a new user can become productive very quickly. The PDE toolbox, just like any other commercial software, can solve certain classes of problems well but is not capable of solving every type of problem. For example, it can solve linear problems but is not capable of handling non-linear problems. Being aware of the capabilities of any tool is an important lesson for the user and we have, with this book, tried to highlight that lesson as well. In this text we are introducing some basic concepts of Finite Element Method (FEA) and Matlab as a tool for performing FEA analyses. There are two ways to use Matlab for FEA work. The core calculations in FEA centers around Matrix operations. Matlab is very well suited for performing these types of calculations; Matlab’s origin is from Matrix operations.

Название: React Programming: The Big Nerd Ranch Guide
Автор: Loren Klingman, Ashley Parker
Издательство: Big Nerd Ranch
Год: 2023
Страниц: 705
Язык: английский
Формат: epub (true), mobi
Размер: 29.8 MB

React is today's most popular open-source jаvascript library for front-end web application development. React Programming: The Big Nerd Ranch Guide helps programmers with experience in HTML, CSS, and jаvascript master React through hands-on examples. Based on Big Nerd Ranch's popular React Essentials bootcamp, this guide illuminates key concepts with realistic code, guiding you step by step through building a starter app and a complete, production-ready app, both crafted to help you quickly leverage React’s remarkable power. Use React to write reliable, declarative code, create carts and other e-commerce features, optimize performance, and gain experience with component and end-to-end testing. Along the way, you will learn to use tools like Create React App, functional components, hooks, ESLint, React Router, websockets, the React Testing Library, and Cypress.

Название: Machine Learning: Concepts, Techniques and Applications
Автор: T.V. Geetha, S. Sendhilkumar
Издательство: CRC Press
Год: 2023
Страниц: 478
Язык: английский
Формат: pdf (true)
Размер: 36.5 MB

Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining Machine Learning and goes on to explain the basis of Machine Learning algorithms. The mathematical foundations required are outlined along with their associations to Machine Learning. The book then goes on to describe important Machine Learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical Machine Learning has been discussed. An outline of Deep Learning models is also included. The use cases, self-assessments, exercises, activities, numerical problems, and projects associated with each chapter aims to concretize the understanding. The R language was basically developed by statisticians to help other statisticians and developers work faster and more efficiently with the data. By now, we know that Machine Learning is basically working with a large amount of data and statistics as a part of Data Science, so the use of the R language is always recommended. Therefore the R language is becoming handy for those working with Machine Learning, making tasks easier, faster, and more innovative.

Название: Learning Data Science: Programming and Statistics Fundamentals Using Python (Sixth Early Release)
Автор: Sam Lau, Deborah Nolan, Joseph Gonzalez
Издательство: O’Reilly Media, Inc.
Год: 2023-03-23
Страниц: 434
Язык: английский
Формат: epub (true), mobi
Размер: 15.0 MB

As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the Data Science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like Pandas.

Название: Python Machine Learning Projects: Learn how to build Machine Learning projects from scratch
Автор: Deepali R Vora, Gresha S Bhatia
Издательство: BPB Publications
Год: 2023
Страниц: 302
Язык: английский
Формат: pdf, epub (true)
Размер: 10.2 MB

A complete guide that will help you get familiar with Machine Learning models, algorithms, and optimization techniques. Since the last two decades, there have been many advancements in the field of Machine Learning. If you are new or want a comprehensive understanding of Machine Learning, then this book is for you. The book starts by explaining how important Machine Learning is today and the technology required to make it work. The book then helps you get familiar with basic concepts that underlie Machine Learning, including basic Python Programming. It explains different types of Machine Learning algorithms and how they can be applied in various domains like Recommendation Systems, Text Analysis and Mining, Image Processing, and Social Media Analytics. Towards the end, the book briefly introduces you to the most popular metaheuristic algorithms for optimization. By the end of the book, you will develop the skills to use Machine Learning effectively in various application domains.

Название: Mastering Python Network Automation: Automating Container Orchestration, Configuration, and Networking with Terraform, Calico, HAProxy, and Istio
Автор: Tim Peters
Издательство: GitforGits
Год: 2023
Страниц: 309
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

With "Mastering Python Network Automation," you can streamline container orchestration, configuration management, and resilient networking with Python and its libraries, allowing you to emerge as a skilled network engineer or a strong DevOps professional. From the ground up, this guide walks readers through setting up a network automation lab using the NS3 network simulator and Python programming. This includes the installation of NS3, as well as python libraries like nornir, paramiko, netmiko, and PyEZ, as well as the configuration of ports, hosts, and servers. This book will teach you the skills to become a proficient automation developer who can test and fix any bugs in automation scripts. This book examines the emergence of the service mesh as a solution to the problems associated with service-to-service communication over time. This book walks you through automating various container-related tasks in Python and its libraries, including container orchestration, service discovery, load balancing, container storage management, container performance monitoring, and rolling updates.

Название: The Business Manager's Guide to Software Projects: A Framework for Decision-Making, Team Collaboration, and Effectiveness
Автор: Jonathan Peter Crosby
Издательство: Apress
Год: 2023
Страниц: 308
Язык: английский
Формат: pdf, epub
Размер: 12.6 MB

Every day, successful software projects scale and sustain businesses of all sizes and across all industries. Unfortunately, the reality is that many software projects still fail. The reasons behind these failures are seldom due to the underlying technology. Misunderstandings and communication barriers lead to wrong decisions, missed opportunities, communication breakdowns, or worse―huge economic loss. This book distills the world of software projects into simple terms and relatable metaphors for even the most technically adverse reader. Real-life examples, entertaining analogies, and hand-drawn illustrations will stick with readers throughout their own software projects, bolstering their success. Business requirements, use cases, process flows―the list goes on. It’s all broken down in this game-changing book aimed at delivering for business and tech teams what DevOps has done for developers and operations.

Название: Rearchitecting Software: Source Code Comprehension and Refactoring Applied to Flight Software and Simulation
Автор: Ignacio Chechile
Издательство: Independently published
Год: 2023
Страниц: 202
Язык: английский
Формат: pdf (true)
Размер: 44.7 MB

The main idea is to delve into some codebase by breaking them down and see what they are made of. We will get compiler errors galore in the process. Granted, compiler errors can be annoying, but you must embrace them, for they provide a lot of information any source code analyst must ingest and use in their own advantage. The ambitious objective of our work is to learn about two programs’ architectures and design styles in a way we will be able to alter them, refactor them, recompile them a hundred times if necessary, and eventually hook them together.For practicing code comprehension, we will use a flight simulation engine combined with a flight software framework, both running on Linux. We will fiddle with source code to make two projects that grew totally unaware of each other to interact; we will craft our tiny Frankenstein. These projects, combined together, have around 160K lines of code between C and C++ which, although not the biggest code base ever, it is still complex enough to make us think.