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preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;
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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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Take Python beyond scripting to build robust, reusable, and efficient applications About This Book * Get to grips with Python;
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development environment (on RedHat or Ubuntu Linux) In-depth information on how to structure and build Python applications that interact with Db2;
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Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work;
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Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;
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This version replaces R with Python to make it accessible to a greater number of users outside of statistics including those from Machine;
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data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python;
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programming techniques in Python Equip yourself with functional and statistical programming features Write proper tests to be sure a program works;
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for ArcGIS and other fields such as remote sensing, GPS, spatial modeling, and statistical analysis. A Python Primer for ArcGIS® combines;
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languages and features concise tutorials with command-by-command translations-complete with sample code-of R to Python and Python to R;
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economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures;
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This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest;
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on efficient application development with PyCharm Explore advanced features in PyCharm such as code automation, version control, and GUI;
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A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with;
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acquainted with advanced programming techniques in Python * Equip yourself with functional and statistical programming features * Write proper;
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Kick-start your development journey with this end-to-end guide that covers Python programming fundamentals along with application;
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with App Engine services and development tools, including deployment and maintenance. App Engine's Python support includes a fast Python 2.7;
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balances real-world applications with an integrated focus on the latest version of Microsoft (R) Excel (R). This best-selling, essentials edition;
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visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression''--;
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statistical modelling with R and RStudio;
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references to the relevant literature. * Provides a guide to statistical methods and application in medical product development * Assists readers;
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Book Is For Python developers new to the Django web application development framework and web developers new to Python and Django.;
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This book is designed for those who are unfamiliar with the art of Python development and want to get to know their way round the language and;
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engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data;
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