Aditya Bhargava

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About Aditya Bhargava
TalkPython interviewed me about Grokking Algorithms! Listen here: https://talkpython.fm/episodes/show/82/grokking-algorithms-in-python
I've been drawing and programming for the last two decades, and enjoy both very much. I started coding by making video games in Basic and ActionScript, and I sold my first game at age 14. After getting my MS from UChicago, I've been working at startups that align with my interests: books (Scribd) and art (Etsy). I'm currently a Staff Engineer at Etsy, where I help our sellers sell more goods.
I have been teaching for the last seven years. I started by teaching the Intro to Python class at Noisebridge. Over the years, I have tried to understand how to break down hard concepts so that they are easy to learn. My first book, Grokking Algorithms, came out in 2016. I blog at adit.io and tweet at @_egonschiele.
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Titles By Aditya Bhargava
Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel.
Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion).
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.
About the Book
Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.
What's Inside
- Covers search, sort, and graph algorithms
- Over 400 pictures with detailed walkthroughs
- Performance trade-offs between algorithms
- Python-based code samples
About the Reader
This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms.
About the Author
Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.
Table of Contents
- Introduction to algori
Um algoritmo nada mais é do que um procedimento passo a passo para a resolução de um problema. Os algoritmos que você mais utilizará como um programador já foram descobertos, testados e provados. Se você quer entendê-los, mas se recusa a estudar páginas e mais páginas de provas, este é o livro certo. Este guia cativante e completamente ilustrado torna simples aprender como utilizar os principais algoritmos nos seus programas.
O livro Entendendo Algoritmos apresenta uma abordagem agradável para esse tópico essencial da ciência da computação. Nele, você aprenderá como aplicar algoritmos comuns nos problemas de programação enfrentados diariamente. Você começará com tarefas básicas como a ordenação e a pesquisa. Com a prática, você enfrentará problemas mais complexos, como a compressão de dados e a inteligência artificial. Cada exemplo é apresentado em detalhes e inclui diagramas e códigos completos em Python. Ao final deste livro, você terá dominado algoritmos amplamente aplicáveis e saberá quando e onde utilizá-los.
O que este livro inclui
A abordagem de algoritmos de pesquisa, ordenação e algoritmos gráficos
Mais de 400 imagens com descrições detalhadas
Comparações de desempenho entre algoritmos
Exemplos de código em Python
Este livro de fácil leitura e repleto de imagens é destinado a programadores autodidatas, engenheiros ou pessoas que gostariam de recordar o assunto.
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- Visuelle Erläuterungen mit über 400 erklärenden Bildern
- Mit anschaulichen Beispielen und zahlreichen Übungen
- Ausführlich kommentierter Beispielcode in Python
Ab sofort sind Algorithmen nicht mehr langweilig und trocken! Mit diesem Buch wird es dir Spaß machen, dich mit Algorithmen zu beschäftigen, und es wird dir leichtfallen zu verstehen, wie diese funktionieren.
Du erhältst eine anschauliche Einführung in Algorithmen und lernst visuell und praxisnah, wie du die wichtigsten Algorithmen für Aufgaben einsetzt, die dir bei der Programmierung täglich begegnen.
Du beginnst mit einfachen Aufgaben wie Sortieren und Suchen. Mit diesen Grundlagen gerüstet kannst du auch schwierigere Aufgaben wie dynamische Programmierung oder Künstliche Intelligenz in Angriff nehmen.
Der Autor erläutert die Funktionsweise der Algorithmen anhand ganz einfacher Beispiele. So verdeutlicht er z.B. den Unterschied zwischen Arrays und verketteten Listen anhand der Aufgabe, mehrere noch freie Plätze in einem Kinosaal zu finden. Solche Beispiele zeigen dir ganz anschaulich, wie und wofür du die jeweiligen Algorithmen effektiv einsetzen kannst.
Zu allen Erläuterungen findest du anschauliche Bilder und Diagramme sowie ausführlich kommentierten Beispielcode in Python.
Wenn du Algorithmen verstehen möchtest, ohne dich mit komplizierten seitenlangen Beweisen herumzuplagen, ist dieses Buch genau das richtige für dich.
Aus dem Inhalt:- Such-, Sortier- und Graphenalgorithmen
- Performance von Algorithmen analysieren (Landau-Notation)
- Arrays, verkettete Listen und Hashtabellen
- Rekursion und Stacks
- Quicksort und das Teile-und-herrsche-Verfahren
- Dijkstra-Algorithmus für die Ermittlung des kürzesten Pfads
- Approximationsalgorithmen und NP-vollständige Probleme
- Greedy-Algorithmen
- Dynamische Programmierung
- Klassifikation und Regression mit dem k-Nächste-Nachbarn-Algorithmus