Название: Introduction to Datascience: Learn Julia Programming, Math & Datascience from Scratch
Автор: Karthikeyan A.K.
Издательство: Independently published
Год: 2021
Страниц: 410
Язык: английский
Формат: pdf (true), epub
Размер: 24.3 MB

I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself. So I thought why not give it more? This book should be seen as my attempt to explain Data Science to my self and nothing more. Will this book rise to professional stature is yet to be seen.

Название: Building reproducible analytical pipelines with R
Автор: Bruno Rodrigues
Издательство: Leanpub
Год: 2023-06-04
Страниц: 522
Язык: английский
Формат: pdf (true)
Размер: 18.9 MB

Build reproducible analytical pipelines to output consistent, high-quality data products using R, Github and Docker. Learn about functional and literate programming to keep your code concise, easier to test and share and easily understandable by others by packaging it. Run your pipelines on Github Actions and focus on what matters: analysing data! This book will not teach you about the R programming language, Machine Learning, statistics or visualisation. The goal is to teach you a set of tools, practices and project management techniques that should make your projects easier to reproduce, replicate and retrace. These tools and techniques can be used right from the start of your project at a minimal cost, such that once you’re done with the analysis, you’re also done with making the project reproducible. Your projects are going to be reproducible simply because they were engineered, from the start, to be reproducible.

Название: Data Structures & Algorithms for all programmers
Автор: Israel C. Abazie
Издательство: Independently published
Год: 2023
Страниц: 655
Язык: английский
Формат: pdf
Размер: 31.1 MB

Dive into over 90 captivating algorithm challenges, spanning more than 600 pages of insights and real-world applications. With comprehensive coverage of essential data structures like linked lists, stacks, queues, trees, and graphs, you'll be fully prepared for success in interviews and equipped to thrive at top tech companies worldwide.

Название: ?C# Concurrency: Asynchronous and multithreaded programming (MEAP v4)
Автор: Nir Dobovizki
Издательство: Manning Publications
Год: 2023
Страниц: 126
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#! C# Concurrency: Asynchronous and Multithreaded Programming teaches you to harness the power of multithreading and async/await to get maximum speed from your code. Nir Dobovizki, a seasoned C# veteran with over 30 years of high-performance programming experience, is here to share his deep knowledge and expert techniques with you. Say goodbye to frustrating pitfalls and impossible-to-find bugs that slow down your applications. Nir's careful approach will teach you how to navigate these challenges with ease, allowing you to achieve lightning-fast performance like never before! Concurrency is a developers’ secret weapon for maximizing an application's performance. Using asynchronous and multithreaded programming techniques, you can seamlessly execute multiple tasks simultaneously, without sacrificing speed or quality.

Название: Python Data Science
Автор: Chaolemen Borjigin
Издательство: Springer/Publishing House of Electronics Industry
Год: 2023
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 27.9 MB

Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts. Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for Data Science. In addition, it includes suggestions for further reading. Python is a general-purpose language so that it can be used for a wide range of applications, such as Data Science, computer science, software engineering, mathematics, life science, linguistics, and journalism. However, learning Python programming for data science requires its unique specific knowledge tailored to its use in that field.

Название: Pro ASP.NET Core 7, Tenth Edition (MEAP v4)
Автор: Adam Freeman
Издательство: Manning Publications
Год: 2023
Страниц: 1410
Язык: английский
Формат: pdf, epub
Размер: 29.5 MB

Now in its tenth edition, this industry-leading guide to ASP.NET Core teaches everything you need to know to create easy, extensible, and cloud-native web applications. Pro ASP.NET Core, Tenth Edition is an acclaimed bestseller, and a bible for .NET web developers. Tens of thousands of readers have benefited from its comprehensive coverage of ASP.NET’s key tools and techniques. Now in its tenth edition, this revised guide has been fully updated to .NET 7, with extensive chapters on Razor Pages, Blazor, MVC Core, and other new features. ASP.NET Core 7 is the latest version of Microsoft’s comprehensive web development framework. It gives C# developers everything they need to create scalable and robust web apps. This powerful framework can handle anything you throw at it—HTTP requests from all clients, delivering raw data responses for RESTful web services, HTML and CSS for round-trip clients, and even WASM code for rich interactions.

Название: Twisted Python Projects: 12 wacky, useful, tricky, cool, fun things to do (MEAP v2)
Автор: Dan Aldred
Издательство: Manning Publications
Год: 2023
Страниц: 140
Язык: английский
Формат: pdf, epub
Размер: 13.7 MB

You won’t find these Python projects in a programming textbook! Each twisted task teaches you Python GUI skills you’ll use again and again—even for serious things like a job! Are you a Python beginner wondering where to go next? Twisted Python Projects has some wicked answers! You’ll build the kind of projects you’d never find in computer class, and learn important Python development skills as you do. Start with a fart soundboard, create a joke machine, and build a device to Rick-Roll your friends. You’ll quickly move on to advanced projects that will test and evolve your skills, including a pixel art program and a reflex tester. You’ll learn to use functions, loops, variables, lists, and layouts; and master making interactive GUIs. Most important of all, these twisted projects will teach you a very important lesson—coding can be really fun! For Python beginners who know the absolute basics, and experienced Python programmers looking for fun projects to try.

Название: Hacking Cryptography: Write, break, and fix real-world solutions (MEAP v4)
Автор: Kamran Khan, Bill Cox
Издательство: Manning Publications
Год: 2023
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Learn how the good guys implement cryptography and how the bad guys exploit it. Theoretically strong cryptography often becomes vulnerable to exploitation as soon as it’s built into real applications and networks. Hacking Cryptography details dozens of practical cryptographic implementations and then breaks down the flaws that adversaries use to exploit them. You’ll learn just what it takes to write cryptographically secure code, build an intuition for spotting potential vulnerabilities, and master techniques to avoid the pitfalls that leave your systems at risk. Everything we do in the digital world is protected by cryptography. It is the final and most reliable defense of our data, and it is often impossible to break in its pure mathematical form. Unfortunately, life is different outside the lab. Implementing cryptography in code and hardware is never perfect, and any crack is an invitation for a would-be attacker’s exploitation.

Название: Grokking Algorithms, Second Edition (MEAP v1)
Автор: Aditya Bhargava
Издательство: Manning Publications
Год: 2023
Страниц: 176
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

A friendly, fully-illustrated introduction to the most important computer programming algorithms. Grokking Algorithms, Second Edition makes it easy to learn. You’ll never be bored—complex concepts are all explained through fun cartoons and memorable examples that make them stick. You'll start with tasks like sorting and searching, then build your skills to tackle more advanced problems like data compression and artificial intelligence. This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3. By the time you reach the last page, you’ll have mastered the most widely applicable algorithms, know when and how to use them, and be fully prepared when you’re asked about them on your next job interview. Suitable for self-taught programmers, engineers, job seekers, or anyone who wants to brush up on algorithms.

Название: Прикладная линейная алгебра для исследователей данных: От ключевых концепций до приложений с использованием Python
Автор: Maйк Икc Koэн
Издательство: ДМК Пресс
Год: 2023
Страниц: 329
Язык: русский
Формат: pdf
Размер: 14.0 MB

Линейная алгебра, предметом которой являются матрицы и операции на них, составляет математическую основу почти всех алгоритмов и методов анализа, реализованных в компьютерах. Но в учебниках десятилетней давности она преподносится без учета того, как профессионалы применяют линейную алгебру сегодня для решения реальных задач. В книге рассказывается о ключевых концепциях линейной алгебры, реализованных на Python, и о том, как их использовать в науке о данных, машинном и глубоком обучении и вычислительном моделировании. Вооружившись этими знаниями, вы сможете понять, как внедрять и адаптировать под свои задачи целый ряд современных методов анализа и алгоритмов. Данная книга посвящена линейно-алгебраическим приложениям в рабочем коде. Я написал эту книгу, ориентируясь на Python, потому что Python в настоящее время является наиболее широко используемым языком в науке о данных, машинном обучении и смежных областях. Если вы предпочитаете другие языки, такие как MATLAB, R, C или Julia, то я надеюсь, что вам будет легко переложить рабочий код Python на эти языки. Я постарался сделать код Python как можно проще, оставляя его при этом релевантным для приложений.