Python is an excellent way to get started in programming, and this clear, concise guide walks you through Python a step at a timebeginning with basic programming concepts before moving on to functions, data structures, and object-oriented design.
This textbook presents a focused and accessible primer on the fundamentals of Java programming, with extensive use of illustrative examples and hands-on exercises.
A practical description of the software design patterns as they are mentioned in the 1994 book "e;Design Patterns - Elements of Reusable ObjectOriented Software"e; by the author group Gamma, Helm, Johnson and Vlissides (also called "e;Gang of Four"e;, GoF for short).
This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R.
Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library.
Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library.
This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications.
This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds.
Supercharge your data with the limitless potential of Neo4j 5, the premier graph database for cutting-edge machine learningPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExtract meaningful information from graph data with Neo4j's latest version 5Use Graph Algorithms into a regular Machine Learning pipeline in PythonLearn the core principles of the Graph Data Science Library to make predictions and create data science pipelines.
Das Buch Programmieren in C++ für Elektrotechniker und Mechatroniker bietet einen Einstieg in die moderne Softwareentwicklung für Studierende der Ingenieurwissenschaften.
Discover a new way of thinking about business applications in light of the massive industry shift toward cloud computing and reactive programming technologies.
This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.
This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and machine learning web apps.
Spring Framework 6 remains - by far - the leading de-facto "e;out of the box"e; practical Java meta application development framework for building complex enterprise, cloud-native applications as well as web applications and microservices.
Take advantage of PHP 8's powerful features to create basic web applications, solve code tests (required for most job interviews nowadays), and begin moving towards more advanced PHP concepts.
This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing.
Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGISKey FeaturesFollow along with actionable instructions with this practical guideBecome well-versed in advanced spatial modeling and machine learning techniquesLearn best practices for performing spatial analysis from an expert spatial data analystBook DescriptionGeospatial analysis is industry agnostic and a powerful tool for answering location questions.
This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R.
This book constitutes revised selected papers from the 23rd International Symposium on Trends in Functional Programming, TFP 2022, which was held virtually in March 2022.
Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGISKey FeaturesFollow along with actionable instructions with this practical guideBecome well-versed in advanced spatial modeling and machine learning techniquesLearn best practices for performing spatial analysis from an expert spatial data analystBook DescriptionGeospatial analysis is industry agnostic and a powerful tool for answering location questions.
