Search icon Close icon
Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
50 Algorithms Every Programmer Should Know - Second Edition

You're reading from  50 Algorithms Every Programmer Should Know - Second Edition

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803247762
Pages 538 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Imran Ahmad Imran Ahmad
Profile icon Imran Ahmad
LinkedIn
Imran Ahmad has been a part of cutting-edge research about algorithms and machine learning for many years. He completed his PhD in 2010, in which he proposed a new linear programming-based algorithm that can be used to optimally assign resources in a large-scale cloud computing environment. In 2017, Imran developed a real-time analytics framework named StreamSensing. He has since authored multiple research papers that use StreamSensing to process multimedia data for various machine learning algorithms. Imran is currently working at Advanced Analytics Solution Center (A2SC) at the Canadian Federal Government as a data scientist. He is using machine learning algorithms for critical use cases. Imran is a visiting professor at Carleton University, Ottawa. He has also been teaching for Google and Learning Tree for the last few years.
See other products by Imran Ahmad

Table of Contents (22) Chapters

Preface 1. Section 1: Fundamentals and Core Algorithms
2. Overview of Algorithms 3. Data Structures Used in Algorithms 4. Sorting and Searching Algorithms 5. Designing Algorithms 6. Graph Algorithms 7. Section 2: Machine Learning Algorithms
8. Unsupervised Machine Learning Algorithms 9. Traditional Supervised Learning Algorithms 10. Neural Network Algorithms 11. Algorithms for Natural Language Processing 12. Understanding Sequential Models 13. Advanced Sequential Modeling Algorithms 14. Section 3: Advanced Topics
15. Recommendation Engines 16. Algorithmic Strategies for Data Handling 17. Cryptography 18. Large-Scale Algorithms 19. Practical Considerations 20. Other Books You May Enjoy
21. Index

Exploring Python built-in data types

In any language, data structures are used to store and manipulate complex data. In Python, data structures are storage containers for managing, organizing, and searching data in an efficient way. They are used to store a group of data elements called collections that need to be stored and processed together. In Python, the important data structures that can be used to store collections are summarized in Table 2.1:

...

Data Structure

Brief Explanation

Example

List

An ordered, possibly nested, mutable sequence of elements

["John", 33,"Toronto", True]

Tuple

An ordered immutable sequence of elements

lock icon The rest of the chapter is locked
arrow left Previous Chapter
Chapter 1 of 22
Next Chapter arrow right
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Sign up now
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Start free trial
Renews at $15.99/month. Cancel anytime}

Authors (1)

Profile icon Imran Ahmad
LinkedIn
Imran Ahmad has been a part of cutting-edge research about algorithms and machine learning for many years. He completed his PhD in 2010, in which he proposed a new linear programming-based algorithm that can be used to optimally assign resources in a large-scale cloud computing environment. In 2017, Imran developed a real-time analytics framework named StreamSensing. He has since authored multiple research papers that use StreamSensing to process multimedia data for various machine learning algorithms. Imran is currently working at Advanced Analytics Solution Center (A2SC) at the Canadian Federal Government as a data scientist. He is using machine learning algorithms for critical use cases. Imran is a visiting professor at Carleton University, Ottawa. He has also been teaching for Google and Learning Tree for the last few years.
Read more
See other products by Imran Ahmad

Personalised recommendations for you

Based on your interests and search pattern
Left arrow icon
C++ Programming for Linux Systems
C++ Programming for Linux Systems
This book covers the essential system programming tools and helps you explore the features of C++20. It emphasizes important details to maintain code quality and tackle everyday challenges of developing software for high performance, optimization, and more.
Sep 2023 9 hours 36 minutes
Expert C++
Expert C++
Discover advanced programming techniques, the latest features of C++17 and C++20, and best practices for memory management, debugging, testing, and large-scale application design with Expert C++. Ideal for experienced developers advancing to proficient programmers and building professional-grade C++ applications.
Aug 2023 20 hours 8 minutes
iOS 17 Programming for Beginners
iOS 17 Programming for Beginners
iOS 17 Programming for Beginners, Eighth Edition is your comprehensive guide to learning the art of iOS app development. Whether you dream of creating the next chart-topping app or simply want to enhance your programming skills, this book is your trusted companion on this exciting journey.
Oct 2023 20 hours 8 minutes
Developer Career Masterplan
Developer Career Masterplan
Written by industry experts that have spent the last 20+ years helping developers grow their career path towards senior developer positions and beyond. This book provides a comprehensive guide, sharing examples and stories from their global careers. By the end, you’ll have the knowledge to create a clear career progression plan as a technical professional.
Sep 2023 10 hours 20 minutes
Refactoring with C#
Refactoring with C#
In Refactoring with C#, you’ll explore the process of safely refactoring modern .NET code using Visual Studio features, advanced unit tests, AI assistance, and custom Roslyn analyzers.
Nov 2023 14 hours 28 minutes
Python Real-World Projects
Python Real-World Projects
Amplify your developer journey by curating a dynamic project portfolio that outshines traditional resumes. Delve into the Python realm through immersive projects, mastering core concepts while constructing comprehensive modules and applications. From data acquisition prowess to impactful data visualization, Python Real-World Projects arms you with essential skills to beat the competition.
Sep 2023 15 hours 56 minutes
The MVVM Pattern in .NET MAUI
The MVVM Pattern in .NET MAUI
The MVVM Pattern in .NET MAUI enables developers to master MVVM principles and effectively apply them to .NET MAUI. This book uses real-life examples and covers complex problems to help you successfully apply MVVM with .NET MAUI to confidently develop robust and high-performing cross-platform apps.
Nov 2023 12 hours 52 minutes
Extending Microsoft Business Central with Power Platform
Extending Microsoft Business Central with Power Platform
Extending Business Central with the Power Platform is a step-by-step guide for Business Central professionals to create solutions that automate business processes, explain complex workflow approvals, and integrate with hundreds of other systems, without traditional development. It’ll guide you in customizing Business Central with Power Platform.
Aug 2023 15 hours 16 minutes
Extending Microsoft Business Central with Power Platform
Extending Microsoft Business Central with Power Platform
Extending Business Central with the Power Platform is a step-by-step guide for Business Central professionals to create solutions that automate business processes, explain complex workflow approvals, and integrate with hundreds of other systems, without traditional development. It’ll guide you in customizing Business Central with Power Platform.
Aug 2023 15 hours 16 minutes
Quantum Computing Algorithms
Quantum Computing Algorithms
The book emphasizes intuitive ideas behind quantum algorithms in ways that other books don’t cover, striking a careful balance between no math and too much math. To get the most from this book, you should be comfortable with basic algebra and writing simple computer code. No prior understanding of quantum physics is needed to get started.
Sep 2023 11 hours 24 minutes
Python – Complete Python, Django, Data Science and ML Guide
Python – Complete Python, Django, Data Science and ML Guide
Unlock Python's full potential with this 50+ hour course! From programming to web and game development, data manipulation, and machine learning, gain the skills required to succeed in various Python-related careers. With practical tasks, hands-on experience, and a strong foundation in Python, you'll be ready to tackle real-world challenges and take advantage of the many opportunities this versatile language offers.
Nov 2023 50 hours 30 minutes
Python – Complete Python, Django, Data Science and ML Guide
Python – Complete Python, Django, Data Science and ML Guide
Unlock Python's full potential with this 50+ hour course! From programming to web and game development, data manipulation, and machine learning, gain the skills required to succeed in various Python-related careers. With practical tasks, hands-on experience, and a strong foundation in Python, you'll be ready to tackle real-world challenges and take advantage of the many opportunities this versatile language offers.
Nov 2023 50 hours 30 minutes
Right arrow icon