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Learn how to write idiomatic, effective Python code by leveraging its best features. Python's simplicity quickly lets you become productive with it, but this often means you aren't using everything the language has to offer. By taking you through Python's key language features and libraries, this practical book shows you how to make your code shorter, faster, and more readable all at the same time--what experts consider "Pythonic."Many programmers who learn Python basics fall into the trap of reinventing the wheel because of past experience in other languages, and try to bend the language to patterns that don't really apply to it. Author Luciano Ramalho, a Python Software Foundation member and Python programmer for 15 years, helps you drop your accent from another language so you can code Python fluently.Learn practical applications of generators for database processingRethink some design patterns in a Python contextExamine attribute descriptors and when to use them: the key to ORMsExplore Pythonic objects: protocols versus interfaces, abstract base classes and multiple inheritance

1 month ago

Transformers for Machine Learning (Brand New - Unused)

₹1000

1 month ago

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Deep Learning (Hard Cover - Brand New)

₹1500

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Introduction to Algorithms (Brand New)

₹2000 ~~₹2850~~

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A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.New for the fourth edition* New chapters on matchings in bipartite graphs, online algorithms, and machine learning* New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays* 140 new exercises and 22 new problems* Reader feedback-informed improvements to old problems* Clearer, more personal, and gender-neutral writing style* Color added to improve visual presentation* Notes, bibliography, and index updated to reflect developments in the field* Website with new supplementary materialWarning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.

1 month ago