Livre Libérer Julia Programming Projects: Learn Julia 1.x Par building apps for data analysis, visualization, machine learning, and the web Auteur Adrian Salceanu – chiangshistory.org

Julia is not just a new programming but a new paradigm With 25 years of programming experience I spent a whole Year In Julia Yet in learning Julia yet ot confused of a lot of new concepts and techniues This book saves you hundred of hours searching discussions mainly discoursejulialangorg and trial and error learning A must read First as the author states this is not a book for the very beginner Some experience with other languages is almost mandatory However the main problem I have found with this book is that despite being written in 2018 is already out of date I use Julia 15 so don t believe the Julia 1x of the description I 15 so don t believe the Julia 1x of the description I stopped at the beginning of Chapter 2 because I had to research on line to correct the A step by step Midsummer Night (Lady Julia Grey, guide that demonstrates how to build simple to advanced applications through examples in Julia Lang 1x using modern toolsKey FeaturesWork with powerful open source libraries for data wrangling analysis and visualizationDevelop full featured full stack web applications Learn to perform supervised and unsupervised machine learning and time series analysis with JuliaBook DescriptionJulia is a new programming language that offers a uniue combination of performance and productivity Its powerful features friendly syntax and speed are attracting arowing number of adopters from Python R and Matlab effectively raising the bar for modern eneral and scientific computingAfter six years in the making Julia has reached version 10 Now is the perfect time to learn it due to its large scale adoption across a wide range of domains including fintech biotech education and AIBeginning with an introduction ,

Adrian Salceanu ↠ 9 CHARACTERS

,
Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the webBetter choice than this book The projects are clear detailed and show production uality code Salceanu as an expert of this new langage has writen a reat book It procure a real advantage This book is a reat place to begin learning Julia if you have some background in programming I am uite new to Julia but have programmed in Matlab Fortran Python C etcI have not yet read all the book but so far have found it very well done The text seems accurate based on my experience with Julia up to date and the examples and projects are helpful The writing style is easy to follow 5 stars for sure Outdated A lot of the functions mentioned are already deprecated Thank you Adrian for this clear the functions mentioned are already deprecated Thank you Adrian for this clear for starting with Julia Programmin. Life Julia applicationsDevelop and run a web app using Julia and the HTTP packageBuild a recommender system using supervised machine learning Perform exploratory data analysis Apply unsupervised machine learning algorithmsPerform time series data analysis visualization and forecastingWho this book is forData scientists statisticians business analysts and developers who are interested in learning how to use Julia to crunch numbers analyze data and build apps will find this book useful A basic knowledge of programming is assumed Table of ContentsGetting started with Julia ProgrammingCreating Our First Julia AppSetting Up the Wiki GameBuilding the Wiki Game Web CrawlerAdding a Web UI for the Wiki GameImplementing Recommender Sytems with JuliaMachine Learning For Recommender SystemsLeveraging Unsupervised Learning TechniuesWorking with Dates Time and Time SeriesTime Series ForecastingCreating Julia Packages. Yntax of every single function because the book s syntax or function is deprecated eg head tail is now first last I is deprecated eg head tail is now first last I comment on aspects iven my lack of experience and that I have not continued beyond Ch2 This book covers various tips about the Julia language from installation REPL data types and all the way through package development I find the last part package development is uite uniue for this book I would recommend this book to people who are looking for Advanced R andor R packages for Julia Like the Wickham s books this book helps one to turn a user into a developerI would also note that this book does not cover so much about data science and statistics If you want to learn data analysis in Julia there would be. O the language Julia Programming Projects oes on to illustrate how to analyze the Iris dataset using DataFrames You will explore functions and the type system methods and multiple dispatch while building a web scraper and a web app Next while building a web scraper and a web app Next delve into machine learning where youll build a books recommender system You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database After metaprogramming the final chapters will discuss dates and time time series analysis visualization and forecastingWell close with package development documenting testing and benchmarkingBy the end of
the book you 
book you have ained the practical knowledge to build real world applications in JuliaWhat you will learnLeverage Julias strengths its top packages and main IDE optionsAnalyze and manipulate datasets using Julia and DataFramesWrite complex code while building real.

Back To Top