Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as…
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Explore the C++ STL with practical guidance on vectors, algorithms, and custom types for intermediate developers, enriched by real-world examples. Index : page 411-423.
The book Deep Learning with Python (2nd ed.) is about machine learning, neural networks, and programming with Python
The book contains OOP Concepts: Data abstraction, encapsulation, inheritance, Benefits of Inheritance, Polymorphism, classes and objects, Procedural and object oriented programming paradigms.
This book is designed for an introductory course on formal languages, automata, computability, and related matters. Bibliography : page 573-574. Index : page 575-584.
This book uses short examples to teach SAS programming from the basics to more advanced topics in the point-and-click interactive environment of SAS Studio. Index : page 291-299.
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