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
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
FingerPy is a algorithm to measure, analyse and monitor heart-beat using only a video of the user's finger on a mobile cellphone camera.

FingerPy is a algorithm using python, scipy and fft to measure, analyse and monitor heart-beat using only a video of the user's finger on a m

Thiago S. Brasil 37 Oct 21, 2022
Planning Algorithms in AI and Robotics. MSc course at Skoltech Data Science program

Planning Algorithms in AI and Robotics course T2 2021-22 The Planning Algorithms in AI and Robotics course at Skoltech, MS in Data Science, during T2,

Mobile Robotics Lab. at Skoltech 6 Sep 21, 2022
8 Puzzle with A* , Greedy & BFS Search in Python

8_Puzzle 8 Puzzle with A* , Greedy & BFS Search in Python Python Install Python from here. Pip Install pip from here. How to run? 🚀 Install 8_Puzzle

I3L4CK H4CK3l2 1 Jan 30, 2022
Algorithmic virtual trading using the neostox platform

Documentation Neostox doesnt have an API Support, so this is a little selenium code to automate strategies How to use Clone this repository and then m

Abhishek Mittal 3 Jul 20, 2022
This is a Python implementation of the HMRF algorithm on networks with categorial variables.

Salad Salad is an Open Source Python library to segment tissues into different biologically relevant regions based on Hidden Markov Random Fields. The

1 Nov 16, 2021
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
How on earth can I ever think of a solution like that in an interview?!

fuck-coding-interviews This repository is created by an awkward programmer who always struggles with coding problems on LeetCode, even with some Easy

Vinta Chen 613 Jan 08, 2023
RRT algorithm and its optimization

RRT-Algorithm-Visualisation This is a project that aims to develop upon the RRT

Sarannya Bhattacharya 7 Mar 06, 2022
An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students.

A timetable optimiser for NUS which uses an evolutionary algorithm to "breed" a timetable suited to your needs.

Nicholas Lee 3 Jan 09, 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
Zipline, a Pythonic Algorithmic Trading Library

Zipline, a Pythonic Algorithmic Trading Library

Stefan Jansen 463 Jan 08, 2023
implementation of the KNN algorithm on crab biometrics dataset for CS16

crab-knn implementation of the KNN algorithm in Python applied to biometrics data of purple rock crabs (leptograpsus variegatus) to classify the sex o

Andrew W. Chen 1 Nov 18, 2021
A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet

Lawrence Livermore National Laboratory 13 Dec 02, 2022
Search algorithm implementations meant for teaching

Search-py A collection of search algorithms for teaching and experimenting. Non-adversarial Search There’s a heavy separation of concerns which leads

Dietrich Daroch 5 Mar 07, 2022
N Queen Problem using Genetic Algorithm

The N Queen is the problem of placing N chess queens on an N×N chessboard so that no two queens attack each other.

Mahdi Hassanzadeh 2 Nov 11, 2022
A command line tool for memorizing algorithms in Python by typing them.

Algo Drills A command line tool for memorizing algorithms in Python by typing them. In alpha and things will change. How it works Type out an algorith

Travis Jungroth 43 Dec 02, 2022
FLIght SCheduling OPTimization - a simple optimization library for flight scheduling and related problems in the discrete domain

Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom

33 Dec 17, 2022
A simple python application to visualize sorting algorithms.

Visualize sorting algorithms A simple python application to visualize sorting algorithms. Sort Algorithms Name Function Name O( ) Bubble Sort bubble_s

Duc Tran 3 Apr 01, 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