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Python Programming

By: By: Publication details: Noida: Pearson, 2023Description: 679ISBN:
  • 9789356069336
Subject(s): DDC classification:
  • 005.133 (PYT) SRI
Summary: Python Programming is designed as a textbook for undergraduate and postgraduate students to provide programming knowledge and enhance problem solving skills. The book begins with the basics of Python programming followed by the basics of algorithms and further focuses on topics like introduction to programming language, looping, functions, and data structures like lists, tuples, sets, dictionary, and strings. It covers both functional programming concepts such as higher order functions an object-oriented programming concepts such as inheritance and polymorphism.Features –Coverages computational thinking, algorithm writing, algorithm analysis, and data structures such as lists, tuples, sets, dictionaries, strings, stacks, and queues.Explains advanced topics such as debugging, testing, profiling, databases like SQLite, network, and optimization techniquesDiscusses important topics like context manager, Multi threading, Socket programming, cryptography, ethics of programming, and web scrappers.Provides realworld examples as case studiesIncludes Python packages such as os, sys, sympy, math, pycompile, pickle, tkinter, turtle, cython.Special focus on Python tools: doctest, pytest, unitest, cProfile, timeit, Pdb, Numpy, Pandas, Matplotlib and Scikitlearn, Sqlite, beautifulsoup.
List(s) this item appears in: New Arrivals for the Month of September - 2023
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Python Programming is designed as a textbook for undergraduate and postgraduate students to provide programming knowledge and enhance problem solving skills. The book begins with the basics of Python programming followed by the basics of algorithms and further focuses on topics like introduction to programming language, looping, functions, and data structures like lists, tuples, sets, dictionary, and strings. It covers both functional programming concepts such as higher order functions an object-oriented programming concepts such as inheritance and polymorphism.Features –Coverages computational thinking, algorithm writing, algorithm analysis, and data structures such as lists, tuples, sets, dictionaries, strings, stacks, and queues.Explains advanced topics such as debugging, testing, profiling, databases like SQLite, network, and optimization techniquesDiscusses important topics like context manager, Multi threading, Socket programming, cryptography, ethics of programming, and web scrappers.Provides realworld examples as case studiesIncludes Python packages such as os, sys, sympy, math, pycompile, pickle, tkinter, turtle, cython.Special focus on Python tools: doctest, pytest, unitest, cProfile, timeit, Pdb, Numpy, Pandas, Matplotlib and Scikitlearn, Sqlite, beautifulsoup.

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