searchingdiscusses the most common searching algorithms and gives examples of their use for various data structures searching data structure is fundamental task and there are number of approaches sortinglooks at the most common approaches to sorting this will include bubble sortinsertion sortand selection sort selection algorithmscovers algorithms that involve finding statisticssuch as the minimummaximumor median elements in list there are number of approaches and one of the most common approaches is to first apply sort operation other approaches include partition and linear selection design techniques and strategiesrelates to how we look for solutions for similar problems when we are trying to solve new problem understanding how we can classify algorithms and the types of problem that they most naturally solve is key aspect of algorithm design there are many ways in which we can classify algorithmsbut the most useful classifications tend to revolve around either the implementation method or the design method implementationsapplicationsand toolsdiscusses variety of real-world applications these include data analysismachine learningpredictionand visualization in additionthere are libraries and tools that make our work with algorithms more productive and enjoyable what you need for this book the code in this book will require you to run python or higher python' default interactive environment can also be used to run the snippets of code in order to use other third-party librariespip should be installed on your system who this book is for this book would appeal to python developers basic knowledge of python is preferred but is not requirement no previous knowledge of computer concepts is assumed most of the concepts are explained with everyday scenarios to make it very easy to understand [