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Based on the latest version of the language, this book offers a self-contained, concise and coherent introduction to programming with Python. The book's primary focus is on realistic case study applications of Python. Each practical example is accompanied by a brief explanation of the problem-terminology and concepts, followed by necessary program development in Python using its constructs, and simulated testing. Given the open and participatory nature of development, Python has a variety of incorporated data structures, which has made it difficult to present it in a coherent manner. Further, some advanced concepts (super, yield, generator, decorator, etc.) are not easy to explain. The book specially addresses these challenges; starting with a minimal subset of the core, it offers users a step-by-step guide to achieving proficiency.
List of contents
Python - A Calculator.- Algebra With Variables.- Simple Programs.- Functions And Modules.- Sequences And Operations With Sequences.- Additional Operations With Sequences.- Operations For Text Processing.- Operations With Files.- Application Modules.- Classes And Objects.- Time Related Operations.- Functional Programming Aids.
About the author
Dr. T. R. Padmanabhan was formerly Professor Emeritus at Amrita Vishwa Vidyapeetham, Coimbatore. He taught at the IIT Kharagpur, before doing R & D for private companies for several years. He is a Senior Member of the IEEE and a Fellow of both the Institution of Engineers (IEI) and the Institution of Electronics and Telecommunication Engineers (IETE). He has previously published books with Wiley, Tata McGraw-Hill, and Springer Verlag.
Summary
Based on the latest version of the language, this book offers a self-contained, concise and coherent introduction to programming with Python. The book’s primary focus is on realistic case study applications of Python. Each practical example is accompanied by a brief explanation of the problem-terminology and concepts, followed by necessary program development in Python using its constructs, and simulated testing.
Given the open and participatory nature of development, Python has a variety of incorporated data structures, which has made it difficult to present it in a coherent manner. Further, some advanced concepts (super, yield, generator, decorator, etc.) are not easy to explain. The book specially addresses these challenges; starting with a minimal subset of the core, it offers users a step-by-step guide to achieving proficiency.
