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Physics --- Python (Computer program language). --- Data processing.
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Programming --- Computer architecture. Operating systems --- Python (Computer program language) --- Python (Langage de programmation) --- Monograph --- E-books
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Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz's popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages.
Programming --- Computer architecture. Operating systems --- Object-oriented programming (Computer science). --- Python (Computer program language). --- Python (Computer program language) --- Object-oriented programming (Computer science) --- Python (langage de programmation) --- Programmation orientée objets (informatique) --- python
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Computer programming --- Computer software --- Python (Computer program language)
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Learn how to leverage Django, the leading Python web application development framework, to its full potential in this advanced tutorial and reference. Updated for Django 1.5 and Python 3, Pro Django, Second Edition examines in great detail the complex problems that Python web application developers can face and how to solve them. It provides in–depth information about advanced tools and techniques available in every Django installation, running the gamut from the theory of Django’s internal operations to actual code that solves real–world problems for high–volume environments. Pro Django, Second Edition goes above and beyond other books, leaving the basics far behind and showing how Django can do things even its core developers never expected. By drawing on the dynamic nature of Python, you can write Django applications that stretch the limits of what you thought possible!
Computer science --- Computer. Automation --- Python (informatica) --- computers --- informatica --- computerkunde
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This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems and optimisation. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use. All methods include programs showing how the computer code is utilised in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new edition demonstrates the use of Python 3 and includes an introduction to the Python plotting package Matplotlib. This comprehensive book is enhanced by the addition of numerous examples and problems throughout.
Engineering mathematics --- Python (Computer program language) --- Data processing.
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