Computational Physics: Problem Solving with Python
The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.
This upper-division text provides an...
Learning Docker - Second Edition: Build, ship, and scale faster
Docker lets you create, deploy, and manage your applications anywhere at anytime – flexibility is key so you can deploy stable, secure, and scalable app containers across a wide variety of platforms and delve into microservices architecture
About This Book
This up-to-date edition...
Python: Master the Art of Design Patterns
About This Book
Learn all about abstract design patterns and how to implement them in Python 3
Understand the structural, creational, and behavioral Python design patterns
Get to know the context and application of design patterns to solve real-world problems in software...
Lean Python: Learn Just Enough Python to Build Useful Tools
Learn only the essential aspects of Python without cluttering up your mind with features you may never use. This compact book is not a "best way to write code" type of book; rather, the author goes over his most-used functions, which are all you need to know as a beginner and some way beyond.
Excel Functions and Formulas Pocketbook
Geared toward the intermediate to advanced Excel 2016 user, this pocketbook provides explanations and context for many powerful Excel 2016 spreadsheet formulas and functions. Step-by-step instructions for many formula/function-related features such as using range names, and Excel's troubleshooting features. Focus on clarity, accuracy,...
Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,...
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