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This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data fitting, solution of differential equations, …

This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical …

C Programming Professional Made Easy & Python Programming Professional Made Easy C programming Are you aware that C Programming is one of the most popular and most commonly used …

Violent Python shows you how to move from a theoretical understanding of offensive computing concepts to a practical implementation. Instead of relying on another attacker’s tools, …

Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data …

From an idea to a prototype - a complete guide for web development with the Django framework About This Book * Explore the best practices to develop applications of a superior …

The Python practical guide is targeted for both learner and educators who want to implement the python programming with minimum coding skill.This book also covers the basics of …

Python is a general purpose high level language which focuses on code readability with its use of significant indentation. Python is an interpreted and multi-paradigm language. It …

Learn how to find the unusual, interesting, extreme, or inaccurate parts of your data.Outliers can be the most informative parts of your data, revealing hidden insights, novel …

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book • Leverage Python's most powerful open-source libraries for …