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This book provides a practical introduction to using computational (or numerical) methods to solve physics problems using Python, including differential equations,... Læs mere
Great Python applications take advantage of established design principles and patterns that maximize performance, maintainability, and reliability. Software Design for Python... Læs mere
Python for Accounting and Finance is an innovative textbook written for accounting and finance students and professionals with no prior coding... Læs mere
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package... Læs mere
This book explains how the Z Garbage Collector was designed, why it was designed this way, the common pitfalls to avoid when using ZGC in JDK 25 and how to get useful... Læs mere
This accessible tutorial reference by a multidisciplinary team of experts surveys efficient algorithms for analysing different types of games on... Læs mere
Turing Award-winner Leslie Lamport explains how to think more abstractly about concurrent and distributed programs by viewing them mathematically. More abstract thinking... Læs mere
Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.
For R programmers, the R interface to the Keras deep learning library is a powerful head start on building deep learning models without switching to Python. It... Læs mere
The Streamlit framework empowers Python developers to build web applications quickly without writing a single line of HTML, CSS, or JavaScript. There’s no need to switch stacks just... Læs mere
Mathematics is the foundation of machine learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles.
Programmers have a unique superpower when it comes to managing financial stock analysis, price forecasting, and strategic investing. Using popular open-source Python libraries... Læs mere