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#1 Tue 09 August 2016 16:54
Le Livre du jour
https://www.packtpub.com/packt/offers/free-learning
R Graph Essentials
Use R's powerful graphing capabilities to design and create professional-level graphics
Learn how to use Base R to analyze your data and generate statistical graphs
Create attractive graphics using advanced functions such as qplot and ggplot for research and analysis
A step-by-step guide, packed with examples using real-world data sets that can prove helpful to R programmers
A toute fin utile
Dernière modification par Robin (Fri 12 August 2016 09:48)
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#2 Thu 11 August 2016 13:42
- JRM
- Participant assidu
- Lieu: Arras
- Date d'inscription: 15 Apr 2009
- Messages: 521
Re: Le Livre du jour
Si tu as pu le parcourir, est-ce que tu as un avis sur cet ouvrage ?
Hors ligne
#3 Thu 11 August 2016 16:12
Re: Le Livre du jour
Pour lire cet ouvrage, je suggère fortement d'avoir suivi une formation préliminaire à R, histoire de savoir tout ce qui va autour (maniement de R).
Je suggère notamment le MOOC gratuit sur la plate forme FUN (http://mooc-francophone.com/cours/mooc- … istique-r/) qui donne de très bonnes bases.
Ce livre vient après, pour aller plus loin dans la conception de graphes qui ont de la gueule. Dans le MOOC, on survole ce genre d'options ou on essaye quelques options, mais le livre fait surtout le tour des options dispo.
Ceci dit, comme il était gratuit, c'était une bonne chose de l'avoir, mais je ne recommande pas son achat, car la plupart des options abordées peuvent être découvertes via de nombreux exemples sur la toile '(ex : http://rug.mnhn.fr/semin-r/PDF/INED-SFd … 280411.pdf ou http://www.aliquote.org/articles/tech/r … x.html.old) ou via l'aide en ligne.
Chapter 1, Base Graphics in R – One Step at a Time, introduces the basic components of a graph (headings, symbols, lines, colors, axes, labels, legends, and so on) and outlines how to use the R syntax to create these components.
Chapter 2, Advanced Functions in Base Graphics, covers the techniques required to create professional-level graphs in R, including bar charts, histograms, boxplots, pie charts, and dotcharts. It also covers regression lines, smoothers, and error bars.
Chapter 3, Mastering the qplot Function, explains how to use qplot to create a wide range of basic but attractive graphs.
Chapter 4, Creating Graphs with ggplot, introduces you to ggplot, which is an even more powerful graphics tool than qplot. We focus on the main techniques to modify your plotting background, titles, grid lines, legends, axes, labels, and colors. It also covers the essential methods to create plots using ggplot. You will learn how to create all the graph types that were covered in Chapter 1, Base Graphics in R – One Step at a Time, and Chapter 2, Advanced Functions in Base Graphics, but this time using the many special and attractive features of ggplot.
Dernière modification par Robin (Thu 11 August 2016 16:15)
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#4 Fri 12 August 2016 09:48
Re: Le Livre du jour
J'ai changé l'intitulé de ce topic, des fois que ça vous plaise, comme "la carte du jour" marche bien alors, lançons ... le livre du jour 
Et c'est une bonne excuse pour chacun de partager ses lectures
Aujourd'hui : Les expression régulières en Python (mot clé : regex)
https://www.packtpub.com/packt/offers/free-learning
Ca fait un moment que je voulais m'initier au puissant regex, voilà une bonne occasion à moindre coût
For Python developers, this concise and down-to-earth guide to regular expressions is all you need to gain vital new knowledge. From a theoretical overview to Python specifics, it explains everything in crystal clear language.
* Explore the workings of Regular Expressions in Python
* Learn all about optimizing regular expressions using RegexBuddy
* Full of practical and step-by-step examples, tips for performance, and solutions for performance-related problems faced by users all over the world
Regular expressions are used by many text editors, utilities, and programming languages to search and manipulate text based on patterns. They are considered the Swiss army knife of text processing. Powerful search, replacement, extraction and validation of strings, repetitive and complex tasks are reduced to a simple pattern using regular expressions.
Mastering Python Regular Expressions will teach you about Regular Expressions, starting from the basics, irrespective of the language being used, and then it will show you how to use them in Python. You will learn the finer details of what Python supports and how to do it, and the differences between Python 2.x and Python 3.x.
The book starts with a general review of the theory behind the regular expressions to follow with an overview of the Python regex module implementation, and then moves on to advanced topics like grouping, looking around, and performance.
You will explore how to leverage Regular Expressions in Python, some advanced aspects of Regular Expressions and also how to measure and improve their performance. You will get a better understanding of the working of alternators and quantifiers. Also, you will comprehend the importance of grouping before finally moving on to performance optimization techniques like the RegexBuddy Tool and Backtracking.
Mastering Python Regular Expressions provides all the information essential for a better understanding of Regular Expressions in Python.
Dernière modification par Robin (Fri 12 August 2016 09:50)
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