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Python Tools For Scientists

Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior;

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The Python Book

The Python Book delivers an essential introductory guide to learning Python for anyone who works with data but does not have experience;

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Python For Data Science For Dummies

Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data;

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Programming with Python for Social Scientists

Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science;

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Programming with Python for Social Scientists

Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science;

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Python and Matplotlib Essentials for Scientists and Engineers

This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists;

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Modern Python Cookbook

practices and common idioms through carefully explained recipes Discover new ways to apply Python for data-focused development Make use;

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Python for Data Science For Dummies

building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and;

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A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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Python for SAS Users

is an indispensable guide for integrating SAS and Python workflows. What You'll Learn Quickly master Python for data analysis without using a;

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Data Analysis and Visualization Using Python

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business;

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Python Programming Books Set

"Quick & Easy Guide to Python Programming For Beginners These Books Set is for those who are interested in learning Python programming;

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Python for R Users

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python;

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Python for Bioinformatics, Second Edition

extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no;

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Python for Bioinformatics, Second Edition

extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no;

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Python Programming for Data Analysis

, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data;

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Python Programming for Data Analysis

, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data;

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Matlab And Python Programming

Learn MATLAB & PYTHON Programming in Less Than 24 Hours!MATLAB & PYTHON Programming A Practical Guide For Engineers & Data Scientists;

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Python for the Life Sciences

calculations Search for important motifs in genome sequences Use object-oriented programming with Python Study mining interaction network data for;

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Python for the Life Sciences

calculations Search for important motifs in genome sequences Use object-oriented programming with Python Study mining interaction network data for;

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Python Data Visualization Cookbook

in Python. Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data;

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Managing Your Biological Data with Python

Take Control of Your Data and Use Python with Confidence Requiring no prior programming experience, Managing Your Biological Data with;

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Conceptual Programming with Python

Thorsten and Isaac have written this book based on a programming course we teach for Master's Students at the School of Computer Science;

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