A simple introduction to Python / Stephen Lynch

By:

Lynch, Stephen

Material type:

TextSeries: Chapman & Hall/CRC the Python seriesPublication details: Boca Raton : CRC Press, 2024Description: 92 pISBN:

9781032750293

Subject(s):

DDC classification:

005.133 LYN-S

Summary: "A Simple Introduction to Python is aimed at pre-university students and complete novices to programming. The whole book has been created using Jupyter notebooks. After introducing Python as a powerful calculator, simple programming constructs are covered and the NumPy, MatPlotLib and SymPy modules (libraries) are introduced. Python is then used for Mathematics, Cryptography, Artificial Intelligence, Data Science and Object Oriented Programming. The reader is shown how to program using the integrated development environments: Python IDLE, Spyder, Jupyter notebooks, and through cloud computing with Google Colab. Features: No prior experience of programming is required. Demonstrates how to format Jupyter notebooks for publication on the Web. Full solutions to exercises are available as a Jupyter notebook on the Web. All Jupyter notebook solution files can be downloaded through GitHub"-- Provided by publisher

Item type:

Books

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Current library	Call number	Copy number	Status	Barcode
UMT Main Campus	005.133 LYN-S (Browse shelf(Opens below))	C.2	Available	152933
UMT Main Campus	005.133 LYN-S (Browse shelf(Opens below))		Available	150793

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"A Simple Introduction to Python is aimed at pre-university students and complete novices to programming. The whole book has been created using Jupyter notebooks. After introducing Python as a powerful calculator, simple programming constructs are covered and the NumPy, MatPlotLib and SymPy modules (libraries) are introduced. Python is then used for Mathematics, Cryptography, Artificial Intelligence, Data Science and Object Oriented Programming. The reader is shown how to program using the integrated development environments: Python IDLE, Spyder, Jupyter notebooks, and through cloud computing with Google Colab. Features: No prior experience of programming is required. Demonstrates how to format Jupyter notebooks for publication on the Web. Full solutions to exercises are available as a Jupyter notebook on the Web. All Jupyter notebook solution files can be downloaded through GitHub"-- Provided by publisher

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