Books [Yihui Xie, Christophe Dervieux, Emily Riederer] R Markdown Cookbook
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ОПИСАНИЕ:
This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software.
Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent users will also benefit from the wide ranging tips and tricks that expose ‘hidden’ features, support customization and demonstrate the many new and varied applications of the software.
After reading this book users will learn how to:
- Enhance your R Markdown content with diagrams, citations, and dynamically generated text
- Streamline your workflow...
Books [Paul Roback, Julie Legler] Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R
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Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the...
Books [Mark Andrews] Doing Data Science in R: An Introduction for Social Scientists
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This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.
This book:
- Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires
- Explores the foundations of data science and breaks...
Books [Adrian Holovaty, Jacob Kaplan-Moss] The Definitive Guide to Django: Web Development Done Right
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ОПИСАНИЕ:
This latest edition of The Definitive Guide to Django is updated for Django 1.1, and, with the forward–compatibility guarantee that Django now provides, should serve as the ultimate tutorial and reference for this popular framework for years to come.
Django, the Python–based equivalent to Ruby's Rails web development framework, is one of the hottest topics in web development today. Lead developer Jacob Kaplan–Moss and Django creator Adrian Holovaty show you how they use this framework to create award–winning web sites by guiding you through the creation of a web application reminiscent of ChicagoCrime.org.
The Definitive Guide to...
Books [Aidas Bendoraitis, Jake Kronika] Django 3 Web Development Cookbook
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ОПИСАНИЕ:
Django is a web framework for perfectionists with deadlines, designed to help you build manageable medium and large web projects in a short time span. This fourth edition of the Django Web Development Cookbook is updated with Django 3's latest features to guide you effectively through the development process. This Django book starts by helping you create a virtual environment and project structure for building Python web apps. You'll learn how to build models, views, forms, and templates for your web apps and then integrate JavaScript in your Django apps to add more features. As you advance, you'll create responsive multilingual...
Books [Allan M. Stavely] Programming and Mathematical Thinking: Introduction to Discrete Math Featuring Python
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Concepts of discrete mathematics can help clarify a programmer's thinking about software design problems and can make many solutions obvious. Starting at an elementary level, this book teaches about fundamental structures of discrete mathematics and many simple but powerful programming techniques using those structures.
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Books [Kevin Vans-Colina] Python Essential Reference 3
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ОПИСАНИЕ:
Python Essential Reference is the definitive reference guide to the Python programming language — the one authoritative handbook that reliably untangles and explains both the core Python language and the most essential parts of the Python library.
Designed for the professional programmer, the book is concise, to the point, and highly accessible. It also includes detailed information on the Python library and many advanced subjects that is not available in either the official Python documentation or any other single reference source.
Thoroughly updated to reflect the significant new programming language features and library...
Books [Jan Erik Solem] Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images
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If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.
Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students...
Books [Albert Sweigart] Hacking Secret Ciphers with Python: A Beginner's Guide to Cryptography with Python
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ОПИСАНИЕ:
This is the old edition! The new edition is under the title "Cracking Codes with Python" by Al Sweigart * * *Hacking Secret Ciphers with Python not only teaches you how to write in secret ciphers with paper and pencil. This book teaches you how to write your own cipher programs and also the hacking programs that can break the encrypted messages from these ciphers. Unfortunately, the programs in this book wont get the reader in trouble with the law (or rather, fortunately) but it is a guide on the basics of both cryptography and the Python programming language. Instead of presenting a dull laundry list of concepts, this book provides the...
Books [Jeremy G. Siek] Essentials of Compilation: An Incremental Approach in Python
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ОПИСАНИЕ:
A hands-on approach to understanding and building compilers using the programming language Python.
Compilers are notoriously difficult programs to teach and understand. Most books about compilers dedicate one chapter to each progressive stage, a structure that hides how language features motivate design choices. By contrast, this innovative textbook provides an incremental approach that allows students to write every single line of code themselves. Jeremy Siek guides the reader in constructing their own compiler in the powerful object-oriented programming language Python, adding complex language features as the book progresses...
Books [Muhammad Yasoob Ullah Khalid] Intermediate Python
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ОПИСАНИЕ:
Python is an amazing language with a strong and friendly community of programmers. However, there is a lack of documentation on what to learn after getting the basics of Python down your throat. Through this book I aim to solve this problem. I would give you bits of information about some interesting topics which you can further explore.
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Books [Obi Ike-Nwosu] Intermediate Python
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ОПИСАНИЕ:
This book provides a reader with a holistic and in-depth knowledge of the Python language. It explains how methods and functions are related, how sequences can be created elegantly, the tools for functional programming, how user defined objects can be no different from Python objects and how one can control almost everything from import statements to class creation using meta-classes and decorators etc.
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Books [LCF Publishing, Jamie Chan] Python (2nd Edition): Learn Python in One Day and Learn It Well. Python for Beginners with Hands-on Project
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ОПИСАНИЕ:
(2nd Edition: Covers Object Oriented Programming) Learn Python Fast and Learn It Well. Master Python Programming with a unique Hands-On Project.
Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the Python language fast? This book is for you. You no longer have to waste your time and money learning Python from lengthy books, expensive online courses or complicated Python tutorials.
What this book offers...
Python for Beginners Complex concepts are broken down into simple steps to ensure that you can...
Books [Behnam Khani] Learn Python Fast Deep Simple
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Books [David Mertz] Picking a Python Version: A Manifesto
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ОПИСАНИЕ:
This report guides you through the implicit decision tree of choosing what Python version, implementation, and distribution is best suited for you.
There are two major versions of the Python programming language: the Python 2.x series, and the newer Python 3.x series. The Python 3.x series started with the release of Python 3.0 in December 2008; since that time, Python 2.7 was released and has continued to receive point version releases, with Python 2.7.9 being the latest version as of this writing. As a footnote, there was, naturally, a Python 1.x series that was highly successful in the 1990s, but that series has long been...
Books [James McCaffrey] SciPy Programming Succinctly
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ОПИСАНИЕ:
This book offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices.
Each section presents a complete demo program for programmers to experiment with, carefully chosen examples to best illustrate each function, and resources for further learning. Use this e-book to install and edit SciPy, and use arrays, matrices, and combinatorics in Python programming.
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Books [Bernd Klein] Data Analysis
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Books [Nicolas P. Rougier] Scientific Visualisation: Python and Matplotlib
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ОПИСАНИЕ:
The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop only, some deal with 3D and large data, while others target flawless 2D rendering. In this landscape, Matplotlib has a very special place. It is a versatile and powerful library that allows you to design very high quality figures, suitable for scientific publishing. It also offers a simple and intuitive...
Books [Stan Blank] Python Programming in OpenGL
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Books [Nicolas P. Rougier] Python and OpenGL for Scientific Visualization
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Books [Joakim Sundnes] Solving Ordinary Differential Equations in Python
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ОПИСАНИЕ:
This open access book explains the foundations of modern solvers for ordinary differential equations (ODEs). Explicit and implicit methods are motivated and explained, as well as methods for error control and automatic time step selection, and all the solvers are implemented as a class hierarchy in Python.
This book is open access under a CC BY license.
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Books [Richard Smith] Coding Games With Pygame Zero and Python
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ОПИСАНИЕ:
This book contains all the example programs used in my CoderDojo class to teach Python programming. The primary goal of the class is to teach pro- gramming using action games used to make learning more interesting. Some of the examples are entirely focused on introducing new language concepts or showing how the Pygame Zero API works, but most are a mixture of both.
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Books [Mattmann A. Chris] Machine Learning with TensorFlow, 2nd Edition
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ОПИСАНИЕ:
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library.
Summary
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core...
Books [Joos Korstanje] Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
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ОПИСАНИЕ:
Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting...
Books [Sergio Rey, Dani Arribas-Bel, Levi John Wolf] Geographic Data Science with Python
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ОПИСАНИЕ:
This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.
Key Features:
● Showcases the excellent data science environment in Python.
● Provides examples for readers to replicate...
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