Search results for "Master Multi-Paradigm Python Programming"
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Machine Learning With Python: Theory And Applications
Machine Learning (ML) has become a very important area of research widely used in various industries.This compendium introduces the basic concepts, fundamental theories, essential computational techniques, codes, and applications related to ML models. With a strong foundation, one can comfortably learn related topics, methods, and algorithms. Most importantly, readers with strong fundamentals can even develop innovative and more effective machine models for his/her problems. The book is written to achieve this goal.The useful reference text benefits professionals, academics, researchers, graduate and undergraduate students in AI, ML and neural networks.
R 2,858.00
Calculus: Formulations And Solutions With Python
This comprehensive volume explores differentiation and integration, detailing their theories, concepts, and formulations. The book introduces various techniques for computing these mathematical elements for different types of functions and presents their applications.Python code is extensively used throughout the book, allowing readers to practice and interact with the concepts in real-time. This hands-on approach helps in comprehending the theory, techniques, and results of computational operations in differentiation and integration. Real-world engineering problems are connected to the theoretical discussions through numerous examples.Written in Jupyter notebook format, the useful reference text offers a unified environment for theory description, code execution, and real-time interaction, making it ideal for reading, practicing, and further exploration.
R 4,689.00
Solid Mechanics With Python: Non-cartesian Coordinates
This comprehensive volume covers the fundamental principles of solid mechanics, focusing on the mechanical behavior of solids in two and three dimensions under various types of loads. The solids are defined in non-Cartesian coordinate systems, such as polar, cylindrical, and spherical coordinate systems.The methodology and techniques to solve solid mechanics problems are explained in detail, formulated and demonstrated with numerous examples and illustrations. Two major approaches, the stress method and the displacement method, are introduced. Python is used for formulation derivation, solving problems symbolically or numerically, and plotting results graphically.Written in Jupyter notebook format, this useful reference text offers a unified environment for theory description, code execution, and formulation, for easy reading and practicing.
R 5,422.00
Solid Mechanics With Python: Cartesian Coordinates
This book covers the fundamental principles of solid mechanics, focusing on the mechanical behavior of solids in two and three dimensions under various types of loads. The solids are defined in the Cartesian coordinate system and may have specific shapes and constraints.Techniques, including stress methods and displacement methods, for solving solid mechanics problems are explained in detail, formulated, and demonstrated with numerous examples and illustrations. Python is used to derive formulations, find solutions symbolically or numerically, and plot the results graphically.Written in Jupyter notebook format, this useful reference text offers a unified environment for theory description, code execution, and formulation, for easy reading and practicing.
R 5,056.00
