Julia Cookbook.
Over 40 recipes to get you up and running with programming using JuliaAbout This Book Follow a practical approach to learn Julia programming the easy way Get an extensive coverage of Julia's packages for statistical analysis This recipe-based approach will help you get familiar with the key con...
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| Online Access: |
Full text (MCPHS users only) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Packt Publishing,
2016
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| Edition: | 1. |
| Subjects: | |
| Local Note: | ProQuest Ebook Central |
Table of Contents:
- Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Extracting and Handling Data; Introduction; Why should we use Julia for data science?; Handling data with CSV files; Getting ready; How to do it & Handling data with TSV files; Getting ready; How to do it & Working with databases in Julia; Getting ready; How to do it & MySQL; PostgreSQL; There's more & MySQL; PostgreSQL; SQLite; Interacting with the Web; Getting ready; How to do it & GET request; There's more & Chapter 2: Metaprogramming; Introduction.
- Representation of a Julia programGetting ready; How to do it & How it works & There's more; Symbols and expressions; Symbols; Getting ready; How to do it & How it works & There's more; Quoting; How to do it & How it works & Interpolation; How to do it & How it works & There's more; The Eval function; Getting ready; How to do it & How it works & Macros; Getting ready; How to do it & How it works & Metaprogramming with DataFrames; Getting ready; How to do it & How it works & Chapter 3: Statistics with Julia; Introduction; Basic statistics concepts; Getting ready; How to do it & How it works &
- Descriptive statisticsGetting ready; How to do it & How it works & Deviation metrics; Getting ready; How to do it & How it works & Sampling; Getting ready; How to do it & How it works & Correlation analysis; Getting ready; How to do it & How it works & Chapter 4: Building Data Science Models; Introduction; Dimensionality reduction; Getting ready; How to do it & How it works & Linear discriminant analysis; Getting ready; How to do it & How it works & Data preprocessing; Getting ready; How to do it & How it works & Linear regression; Getting ready; How to do it & How it works & Classification.
- Getting readyHow to do it & How it works & Performance evaluation and model selection; Getting ready; How to do it & How it works & Cross validation; Getting ready; How to do it & How it works & Distances; Getting ready; How to do it & How it works & Distributions; Getting ready; How to do it & How it works & Time series analysis; Getting ready; How to do it & How it works & Chapter 5: Working with Visualizations; Introduction; Plotting basic arrays; Getting ready; How to do it & How it works & Plotting dataframes; Getting ready; How to do it & How it works & Plotting functions; Getting ready.
- How to do it & ow it works & Exploratory data analytics through plots; Getting ready; How to do it & How it works & Line plots; Getting ready; How to do it & How it works & Scatter plots; Getting ready; How to do it & How it works & Histograms; Getting ready; How to do it & How it works & Aesthetic customizations; Getting ready; How to do it & How it works & Chapter 6: Parallel Computing; Introduction; Basic concepts of parallel computing; Getting ready; How to do it & How it works & Data movement; Getting ready; How to do it & How it works & Parallel maps and loop operations; Getting ready.
