This is the code repository for 40 Algorithms Every Programmer Should Know , published by Packt.

Overview

40 Algorithms Every Programmer Should Know

40 Algorithms Every Programmer Should Know

This is the code repository for 40 Algorithms Every Programmer Should Know , published by Packt.

Hone your problem-solving skills by learning different algorithms and their implementation in Python

What is this book about?

Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works.

This book covers the following exciting features:

  • Explore existing data structures and algorithms found in Python libraries
  • Implement graph algorithms for fraud detection using network analysis
  • Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time
  • Predict the weather using supervised learning algorithms
  • Use neural networks for object detection
  • Create a recommendation engine that suggests relevant movies to subscribers
  • Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP)

If you feel this book is for you, get your copy today!

https://www.packtpub.com/

Errata

  • Page 37: The sentences "In the preceding code, the transformer is multiplication by two. So, we are using the map function to multiply each element in the list by two." must be read as "In the preceding code, the transformer is squaring the element. So, we are using the map function to square each element in the list."
  • Page 64: The sentence "The total number of passes is shown in the following diagram:" and the following diagram are included by mistake on this page and must be ignored/omitted.

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

define swap(x, y)
    buffer = x
    x = y
    y = buffer

Following is what you need for this book: This book is for the serious programmer! Whether you are an experienced programmer looking to gain a deeper understanding of the math behind the algorithms or have limited programming or data science knowledge and want to learn more about how you can take advantage of these battle-tested algorithms to improve the way you design and write code, you’ll find this book useful. Experience with Python programming is a must, although knowledge of data science is helpful but not necessary.

With the following software and hardware list you can run all code files present in the book (Chapter 1-14).

Software and Hardware List

Chapter Software required OS required
1-14 Python version 3.7.2 or later Windows/Linux/Mac

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

Related products

Get to Know the Author

Imran Ahmad is a certified Google Instructor and has been teaching for Google and Learning Tree for the last many years. The topics Imran teaches include Python, Machine Learning, Algorithms, Big Data and Deep Learning. In his PhD, he proposed a new linear programming based algorithm called ATSRA , which can be used to optimally assign resources in a cloud computing environment. For the last 4 years, Imran is working in a high-profile machine learning project at the advanced analytics lab of the Canadian Federal Government. The project is to develop machine learning algorithms that can automate the process of immigration. Imran is currently working on developing algorithms to use GPUs optimally to train complex machine learning models.

Suggestions and Feedback

Click here if you have any feedback or suggestions.

Owner
Packt
Providing books, eBooks, video tutorials, and articles for IT developers, administrators, and users.
Packt
Tic-tac-toe with minmax algorithm.

Tic-tac-toe Tic-tac-toe game with minmax algorithm which is a research algorithm his objective is to find the best move to play by going through all t

5 Jan 27, 2022
Better control of your asyncio tasks

quattro: task control for asyncio quattro is an Apache 2 licensed library, written in Python, for task control in asyncio applications. quattro is inf

Tin Tvrtković 37 Dec 28, 2022
Wordle-solver - A program that solves a Wordle using a simple algorithm

Wordle Solver A program that solves a Wordle using a simple algorithm. To see it

Luc Bouchard 3 Feb 13, 2022
Sign data using symmetric-key algorithm encryption.

Sign data using symmetric-key algorithm encryption. Validate signed data and identify possible validation errors. Uses sha-(1, 224, 256, 385 and 512)/hmac for signature encryption. Custom hash algori

Artur Barseghyan 39 Jun 10, 2022
Xor encryption and decryption algorithm

Folosire: Pentru encriptare: python encrypt.py parola fișier pentru criptare fișier encriptat(de tip binar) Pentru decriptare: python decrypt.p

2 Dec 05, 2021
:computer: Data Structures and Algorithms in Python

Algorithms in Python Implementations of a few algorithms and datastructures for fun and profit! Completed Karatsuba Multiplication Basic Sorting Rabin

Prakhar Srivastav 2.9k Jan 01, 2023
Esse repositório tem como finalidade expor os trabalhos feitos para disciplina de Algoritmos computacionais e estruturais do CEFET-RJ no ano letivo de 2021.

Exercícios de Python 🐍 Esse repositório tem como finalidade expor os trabalhos feitos para disciplina de Algoritmos computacionais e estruturais do C

Rafaela Bezerra de Figueiredo 1 Nov 20, 2021
Ralebel is an interpreted, Haitian Creole programming language that aims to help Haitians by starting with the fundamental algorithm

Ralebel is an interpreted, Haitian Creole programming language that aims to help Haitians by starting with the fundamental algorithm

Lub Lorry Lamysère 5 Dec 01, 2022
Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:

Cutting Stock Problem Cutting Stock Problem (CSP) deals with planning the cutting of items (rods / sheets) from given stock items (which are usually o

Emad Ehsan 87 Dec 31, 2022
Algorithmic Trading with Python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

Chris Conlan 1.3k Jan 03, 2023
This project consists of a collaborative filtering algorithm to predict movie reviews ratings from a dataset of Netflix ratings.

Collaborative Filtering - Netflix movie reviews Description This project consists of a collaborative filtering algorithm to predict movie reviews rati

Shashank Kumar 1 Dec 21, 2021
This is an implementation of the QuickHull algorithm in Python. I

QuickHull This is an implementation of the QuickHull algorithm in Python. It randomly generates a set of points and finds the convex hull of this set

Anant Joshi 4 Dec 04, 2022
Cormen-Lib - An academic tool for data structures and algorithms courses

The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administeri

Cormen Lib 12 Aug 18, 2022
Classic algorithms including Fizz Buzz, Bubble Sort, the Fibonacci Sequence, a Sudoku solver, and more.

Algorithms Classic algorithms including Fizz Buzz, Bubble Sort, the Fibonacci Sequence, a Sudoku solver, and more. Algorithm Complexity Time and Space

1 Jan 14, 2022
Minimal examples of data structures and algorithms in Python

Pythonic Data Structures and Algorithms Minimal and clean example implementations of data structures and algorithms in Python 3. Contributing Thanks f

Keon 22k Jan 09, 2023
Algorithms and utilities for SAR sensors

WARNING: THIS CODE IS NOT READY FOR USE Sarsen Algorithms and utilities for SAR sensors Objectives Be faster and simpler than ESA SNAP and cloud nativ

B-Open 201 Dec 27, 2022
🌟 Python algorithm team note for programming competition or coding test

🌟 Python algorithm team note for programming competition or coding test

Seung Hoon Lee 3 Feb 25, 2022
The DarkRift2 networking framework written in Python 3

DarkRiftPy is Darkrift2 written in Python 3. The implementation is fully compatible with the original version. So you can write a client side on Python that connects to a Darkrift2 server written in

Anton Dobryakov 6 May 23, 2022
The test data, code and detailed description of the AW t-SNE algorithm

AW-t-SNE The test data, code and result of the AW t-SNE algorithm Structure of the folder Datasets: This folder contains two datasets, the MNIST datas

1 Mar 09, 2022
GoldenSAML Attack Libraries and Framework

WhiskeySAML and Friends TicketsPlease TicketsPlease: Python library to assist with the generation of Kerberos tickets, remote retrieval of ADFS config

Secureworks 43 Jan 03, 2023