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of genes and proteins in cells, or the drift of genes in an evolving population. Best of all, Python for the Life Sciences shows you how to;
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of genes and proteins in cells, or the drift of genes in an evolving population. Best of all, Python for the Life Sciences shows you how to;
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This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical;
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Through many examples and exercises, this book helps simplify bioinformatics programming using Python. It's an ideal guide for biologists;
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a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters;
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a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters;
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statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on;
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Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and;
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This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the;
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This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the;
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Use ontologies in Python, with the Owlready2 module developed for ontology-oriented programming. You will start with an introduction and;
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reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine;
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that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims;
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that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims;
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, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and;
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solutions, and evaluating results. Designed to lay the groundwork for further study in computer science, Problem Solving with Python;
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ground zero and to the point where you can use coding for everyday tasks. Python, the most in-demand skill by employers, can be learned in a;
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. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand;
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Physics for the Life Sciences reveals the beauty of physics while highlighting its essential role in the Life Sciences. This book is the;
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convert existing Python 2-compatible code to code that will run reliably on both Python 2 and 3. Although Python 3 is considered the future;
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code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can;
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This manual is the definitive language reference for Python. It describes the syntax of Python and its built-in datatypes. Python is an;
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language. The book ""Python Programming For Beginners"" and ""Complete Guide For Python Programming"" are Quick and Easy Guide for Programmers to;
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language for faculty and PhD students in social sciences. The goal is to demonstrate how textual analysis can enhance research by automatically;
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This is a practical, tutorial-style book that includes many examples to demonstrate the full potential of MySQL for Python. Every chapter;
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for a physicist or a natural-sciences student. The book starts with basic interactive Python in order to acquire an introductory familiarity;
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for a physicist or a natural-sciences student. The book starts with basic interactive Python in order to acquire an introductory familiarity;
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