Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
$9.99 | ALL EBOOKS & VIDEOS
Save more on purchases! Buy 2 and save 10%, Buy 3 and save 15%, Buy 5 and save 20%
50 Algorithms Every Programmer Should Know
50 Algorithms Every Programmer Should Know

50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography , Second Edition

Paperback
$49.99
Hardcover
$39.99
Hardcover
$49.99
Subscription
Free Trial
Renews at $12.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Key benefits

  • Familiarize yourself with advanced deep learning architectures
  • Explore newer topics, such as handling hidden bias in data and algorithm explainability
  • Get to grips with different programming algorithms and choose the right data structures for their optimal implementation

Description

The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them. Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use. You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.

Who is this book for?

This computer science book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most used algorithms concisely or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Python programming experience is a must, knowledge of data science will be helpful but not necessary.

What you will learn

  • Design algorithms for solving complex problems
  • Become familiar with neural networks and deep learning techniques
  • Explore existing data structures and algorithms found in Python libraries
  • Implement graph algorithms for fraud detection using network analysis
  • Delve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examples
  • Create a recommendation engine that suggests relevant movies to subscribers
  • Grasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMs

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 29, 2023
Length: 538 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803247762
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Sep 29, 2023
Length: 538 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803247762
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$12.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$129.99 billed annually
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$179.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 159.97
C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals
$59.99
50 Algorithms Every Programmer Should Know
$49.99
Modern Generative AI with ChatGPT and OpenAI Models
$49.99
Total $ 159.97 Stars icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
(61 Ratings)
5 star 77%
4 star 9.8%
3 star 6.6%
2 star 3.3%
1 star 3.3%
Filter icon Filter
Top Reviews

Filter reviews by




Greg Wagner Nov 01, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book does a great job of covering the fundamental algorithm concepts and their related data structures in a easy to understand way with practical examples. The book covers topics from basic sorting and search algorithm to more advanced topics like cyrptography and machine learning. It's a good desk reference devs and grad students.
Amazon Verified review Amazon
Joe Chu Oct 10, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book contains strategies and methods that are used to design, create, and modify algorithms using Python. It further distinguishes itself from other books in its ability to explain data structures in Python and how they relate to algorithms. The book further breaks down the algorithm into its basic versions and applications. Examples would be Search Algorithms, PageRank Algorithms, and so on. Designing algorithms “from scratch” is not an easy task, moreover, this book explains it in detail step by step. Continuing, it goes through this process into Machine Learning, Neural Network, and Natural Language Processing Algorithms again using Python. I feel each of these sections could easily be a book on their own with their breadth of depth into each subject and breakdown. The book finishes up with some advanced topics such as Sequential Modeling and recommendation engines. It further delves into advanced concepts such as data handling and large-scale algorithms.
Amazon Verified review Amazon
David Jordan Dec 03, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Packt sent me a copy of the 2nd edition of Imran Ahmad, PhD, "50 Algorithms Every Programmer Should Know." I've been slowly going through the content and have found it highly valuable so far. I've enjoyed how approachable Imran's explanations of the algorithms are and how he breaks down the nuts and bolts of the algorithms into easy to understand parts. I would recommend this book to anyone who is looking for more details behind the algorithms we implement day in and day out as data scientists.#DataScience #Python #Algorithms
Amazon Verified review Amazon
Chaitanya Yadav Dec 07, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a valuable resource for programmers of all levels. 𝟓𝟎 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 𝐄𝐯𝐞𝐫𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐞𝐫 𝐒𝐡𝐨𝐮𝐥𝐝 𝐊𝐧𝐨𝐰 is a book by Imran Ahmad, a software engineer and author. It is a comprehensive guide to understanding and implementing common algorithms in various domains such as machine learning, software design, data systems, and cryptography. The program gives a clear and comprehensible explanation of each algorithm, as well as examples for programming in Python and Java. A chapter on algorithm design, which will help programmers to better understand what goes into selecting the optimal algorithm for a given problem, is also included in this book.
Amazon Verified review Amazon
hawkinflight Oct 05, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
50 Algorithms, I didn't try to count them, but I like the book's content - Fundamental and Core Algs, ML Algs, and Advanced Topics. The author has been teaching for Google and has a PhD in computer science. The book is very well laid out, clean, and easy to read. This would be a great book to use when first learning to program, at least the first section.In the Fundamentals and Core section, Python is used in the data structures examples, and I like how he covers the time complexity for each type. He also addresses the "basic idea behind the use of stacks and queues" and "practical examples" of trees, rather than just saying - here's how these can be implemented, though the stacks and queues info is very basic and not necessarily an example one would face on the job. A collection of sorting algorithms is presented, along with advice for choosing one. I like that interpolation search is included, as well as an implementation in Python, and a section on "Practical applications" related to search, i.e. a little something extra to go w/the definitions. Chapter 4 Designing Algorithms is awesome and includes "understanding algorithmic strategies" such as divide-and-conquer, dynamic programming, and greedy programming. Linear programming is explained. Finally, in the Fundamentals and Core Section there is a terrific chapter on Graph Algorithms , which includes info on network analysis, the BFS and DFS graph traversals, and a fraud detection network analysis case study.The ML Algs section covers the basics - unsupervised learning, traditional supervised learning, neural networks, NLP, and sequential models. A nice feature is that a classifiers challenge is used for several classification algorithms to compare them, similarly a regressors challenge is stated and applied to three different algorithms. The scikit-learn ML library for Python is used for the challenge examples. Keras is used to define a NN model. TensorFlow is explained, as are the different types of NNs. The NN sections are very nice, concisely explained, w/beautiful color diagrams.The Advanced Topics chapter covers the evolution of advanced sequential modeling techniques. This gets into autoencoders, the Seq2Seq model, the attention mechanism, self-attention, transformers: the evolution after self-attention, and LLMs. Recommendation engines, strategies for data handling, cryptography - including bits on Blockchain and MTIM attacks, large-scale algs - including Amdahl's law, CUDA, and large-scale algs in cloud computing, and a final, terrific closing chapter on Practical Considerations - including telling the story of the Failure of Tay, the Twitter AI bot.This is a clean, tight, concisely written book with great content and highly relevant and useful color diagrams. I think a nice companion to the book could be a workbook with exercises for getting practice on choosing fundamental data structures and computing the complexity when using them in algorithms, with solutions, that is, an aid to help developers get some practice making choices and analyzing the consequences. Similarly, exercises could be written for other parts of the book. This is a book that the author can definitely be proud of, and that the reader can easily read and gain from. The index looks helpful too.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.

Modal Close icon
Modal Close icon