Data Structures and Algorithms with Python (Lee Kent D.)(Paperback)

Data Structures and Algorithms with Python (Lee Kent D.)(Paperback)

This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently.Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring

Advanced Algorithms and Data Structures (La Rocca Marcello)(Paperback)

Advanced Algorithms and Data Structures expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. As a software engineer, you'll encounter countless programming challenges that initially seem confusing, difficult, or even

Mastering Algorithms with C (Loudon Kyle)(Paperback)

There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract

Hands-On Genetic Algorithms with Python (Wirsansky Eyal)(Paperback)

Algorithmic Thinking: A Problem-Based Introduction (Zingaro Daniel)(Paperback)

A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Programming is about using a computer to solve problems, and algorithms and data structures are the building blocks of computer programs. For each problem that a programmer wants to

Data Structures & Algorithms Interview Questions You'll Most Likely Be Asked (Publishers Vibrant)(Paperback)

Genetic Algorithms + Data Structures = Evolution Programs (Michalewicz Zbigniew)(Paperback)

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the

Basic Concepts in Algorithms (Klein Shmuel Tomi)(Paperback)

This book is the result of several decades of teaching experience in data structures and algorithms. It is self-contained but does assume some prior knowledge of data structures, and a grasp of basic programming and mathematics tools. Basic Concepts in Algorithms focuses on more advanced paradigms

Tiny Python Projects: 21 Small Fun Projects for Python Beginners Designed to Build Programming Skill, Teach New Algorithms and Techniques, a (Youens-Clark Ken)(Paperback)

Data Science with Python and Dask (Daniel Jesse)(Paperback)

Summary Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your

Real-World Python: A Hacker's Guide to Solving Problems with Code (Vaughan Lee)(Paperback)

A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code. You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how. Through a series of

Python for Data Science for Dummies (Mueller John Paul)(Paperback)

Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming

Natural Language Processing with Python and Spacy: A Practical Introduction (Vasiliev Yuli)(Paperback)

An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and

Python Scripting for Arcgis Pro (Zandbergen Paul A.)(Paperback)

The definitive, easy-to-follow guide to writing Python code with spatial data in ArcGIS Pro, whether you're new to programming or not. Python Scripting for ArcGIS Pro starts with the fundamentals of Python programming and then dives into how to write useful Python scripts that work with spatial

125 Problems in Text Algorithms: With Solutions (Crochemore Maxime)(Paperback)

This collection of puzzles and exercises with solutions in key areas of string algorithms and combinatorics on words offers graduate students and researchers a pleasant and direct way to learn and practice with advanced concepts. Copious figures illuminate classic and new problems to tease out

Machine Learning with Python for Everyone (Fenner Mark)(Paperback)

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can

Programming with Python for Social Scientists (Brooker Phillip)(Paperback)

As data become 'big', fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these

Beginning Python: From Novice to Professional (Hetland Magnus Lie)(Paperback)

Gain a fundamental understanding of Python's syntax and features with this up-to-date introduction and practical reference. Covering a wide array of Python-related programming topics, including addressing language internals, database integration, network programming, and web services, you'll be

Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner (Tuckfield Bradford)(Paperback)

A fun yet thorough Python-based introduction to algorithms, which are sets of instructions that allow a computer to solve problems. The book tackles classic algorithms like searching, sorting, and optimization as well as those used in fields like machine learning and artificial intelligence

Python for Data Science: The Ultimate Beginners' Guide to Learning Python Data Science Step by Step (Williams Ethan)(Paperback)

Python for Arcgis (Tateosian Laura)(Pevná vazba)

Introduction.- Beginning Python.- Basic data types: numbers and strings.- Basic data types: lists and tuples.- Preparing for Python in ArcGIS.- Calling tools with arcpy.- Getting user input.- Controlling flow.- Decision-making and describing data.- Repetition: Looping for geoprocessing.- Batch

Object-Oriented Data Structures Using Java (Dale Nell)(Paperback)

The updated and revised Object-Oriented Data Structures Using Java, Fourth Edition is an essential resource for students learning data structures using the Java programming language. It presents both the traditional and modern data structure topics with an emphasis on problem-solving and

Humanities Data Analysis: Case Studies with Python (Karsdorp Folgert)(Pevná vazba)

A practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials

Data Structures and Algorithm Analysis in Java - International Edition (Weiss Mark)(Paperback / softback)