1649917336
This book was originally (and currently) designed for use with STAT 420, Methods of Applied Statistics, at the University of Illinois at Urbana-Champaign.
This book was originally (and currently) designed for use with STAT 420, Methods of Applied Statistics, at the University of Illinois at Urbana-Champaign. It may certainly be used elsewhere, but any references to “this course” in this book specifically refer to STAT 420.
This book is under active development. When possible, it would be best to always access the text online to be sure you are using the most up-to-date version. Also, the html version provides additional features such as changing text size, font, and colors. If you are in need of a local copy, a pdf version is continuously maintained, however, because a pdf uses pages, the formatting may not be as functional. (In other words, the author needs to go back and spend some time working on the pdf formatting.)
#statistics #r #programming #textbook #ebook #book
1594369800
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:
1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.
2. Every database seller needs an approach to separate its item from others.
Right now, contrasts are noted where fitting.
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1649209980
A cross-platform command line REPL for the rapid experimentation and exploration of C#. It supports intellisense, installing NuGet packages, and referencing local .NET projects and assemblies.
(click to view animation)
C# REPL provides the following features:
C# REPL is a .NET 6 global tool, and runs on Windows 10, Mac OS, and Linux. It can be installed via:
dotnet tool install -g csharprepl
If you're running on Mac OS Catalina (10.15) or later, make sure you follow any additional directions printed to the screen. You may need to update your PATH variable in order to use .NET global tools.
After installation is complete, run csharprepl
to begin. C# REPL can be updated via dotnet tool update -g csharprepl
.
Run csharprepl
from the command line to begin an interactive session. The default colorscheme uses the color palette defined by your terminal, but these colors can be changed using a theme.json
file provided as a command line argument.
Type some C# into the prompt and press Enter to run it. The result, if any, will be printed:
> Console.WriteLine("Hello World")
Hello World
> DateTime.Now.AddDays(8)
[6/7/2021 5:13:00 PM]
To evaluate multiple lines of code, use Shift+Enter to insert a newline:
> var x = 5;
var y = 8;
x * y
40
Additionally, if the statement is not a "complete statement" a newline will automatically be inserted when Enter is pressed. For example, in the below code, the first line is not a syntactically complete statement, so when we press enter we'll go down to a new line:
> if (x == 5)
| // caret position, after we press Enter on Line 1
Finally, pressing Ctrl+Enter will show a "detailed view" of the result. For example, for the DateTime.Now
expression below, on the first line we pressed Enter, and on the second line we pressed Ctrl+Enter to view more detailed output:
> DateTime.Now // Pressing Enter shows a reasonable representation
[5/30/2021 5:13:00 PM]
> DateTime.Now // Pressing Ctrl+Enter shows a detailed representation
[5/30/2021 5:13:00 PM] {
Date: [5/30/2021 12:00:00 AM],
Day: 30,
DayOfWeek: Sunday,
DayOfYear: 150,
Hour: 17,
InternalKind: 9223372036854775808,
InternalTicks: 637579915804530992,
Kind: Local,
Millisecond: 453,
Minute: 13,
Month: 5,
Second: 0,
Ticks: 637579915804530992,
TimeOfDay: [17:13:00.4530992],
Year: 2021,
_dateData: 9860951952659306800
}
A note on semicolons: C# expressions do not require semicolons, but statements do. If a statement is missing a required semicolon, a newline will be added instead of trying to run the syntatically incomplete statement; simply type the semicolon to complete the statement.
> var now = DateTime.Now; // assignment statement, semicolon required
> DateTime.Now.AddDays(8) // expression, we don't need a semicolon
[6/7/2021 5:03:05 PM]
Use the #r
command to add assembly or nuget references.
#r "AssemblyName"
or #r "path/to/assembly.dll"
#r "path/to/project.csproj"
. Solution files (.sln) can also be referenced.#r "nuget: PackageName"
to install the latest version of a package, or #r "nuget: PackageName, 13.0.5"
to install a specific version (13.0.5 in this case).To run ASP.NET applications inside the REPL, start the csharprepl
application with the --framework
parameter, specifying the Microsoft.AspNetCore.App
shared framework. Then, use the above #r
command to reference the application DLL. See the Command Line Configuration section below for more details.
csharprepl --framework Microsoft.AspNetCore.App
The C# REPL supports multiple configuration flags to control startup, behavior, and appearance:
csharprepl [OPTIONS] [response-file.rsp] [script-file.csx] [-- <additional-arguments>]
Supported options are:
-r <dll>
or --reference <dll>
: Reference an assembly, project file, or nuget package. Can be specified multiple times. Uses the same syntax as #r
statements inside the REPL. For example, csharprepl -r "nuget:Newtonsoft.Json" "path/to/myproj.csproj"
-u <namespace>
or --using <namespace>
: Add a using statement. Can be specified multiple times.-f <framework>
or --framework <framework>
: Reference a shared framework. The available shared frameworks depends on the local .NET installation, and can be useful when running an ASP.NET application from the REPL. Example frameworks are:-t <theme.json>
or --theme <theme.json>
: Read a theme file for syntax highlighting. This theme file associates C# syntax classifications with colors. The color values can be full RGB, or ANSI color names (defined in your terminal's theme). The NO_COLOR standard is supported.--trace
: Produce a trace file in the current directory that logs CSharpRepl internals. Useful for CSharpRepl bug reports.-v
or --version
: Show version number and exit.-h
or --help
: Show help and exit.response-file.rsp
: A filepath of an .rsp file, containing any of the above command line options.script-file.csx
: A filepath of a .csx file, containing lines of C# to evaluate before starting the REPL. Arguments to this script can be passed as <additional-arguments>
, after a double hyphen (--
), and will be available in a global args
variable.If you have dotnet-suggest
enabled, all options can be tab-completed, including values provided to --framework
and .NET namespaces provided to --using
.
C# REPL is a standalone software application, but it can be useful to integrate it with other developer tools:
To add C# REPL as a menu entry in Windows Terminal, add the following profile to Windows Terminal's settings.json
configuration file (under the JSON property profiles.list
):
{
"name": "C# REPL",
"commandline": "csharprepl"
},
To get the exact colors shown in the screenshots in this README, install the Windows Terminal Dracula theme.
To use the C# REPL with Visual Studio Code, simply run the csharprepl
command in the Visual Studio Code terminal. To send commands to the REPL, use the built-in Terminal: Run Selected Text In Active Terminal
command from the Command Palette (workbench.action.terminal.runSelectedText
).
To add the C# REPL to the Windows Start Menu for quick access, you can run the following PowerShell command, which will start C# REPL in Windows Terminal:
$shell = New-Object -ComObject WScript.Shell
$shortcut = $shell.CreateShortcut("$env:appdata\Microsoft\Windows\Start Menu\Programs\csharprepl.lnk")
$shortcut.TargetPath = "wt.exe"
$shortcut.Arguments = "-w 0 nt csharprepl.exe"
$shortcut.Save()
You may also wish to add a shorter alias for C# REPL, which can be done by creating a .cmd
file somewhere on your path. For example, put the following contents in C:\Users\username\.dotnet\tools\csr.cmd
:
wt -w 0 nt csharprepl
This will allow you to launch C# REPL by running csr
from anywhere that accepts Windows commands, like the Window Run dialog.
This project is far from being the first REPL for C#. Here are some other projects; if this project doesn't suit you, another one might!
Visual Studio's C# Interactive pane is full-featured (it has syntax highlighting and intellisense) and is part of Visual Studio. This deep integration with Visual Studio is both a benefit from a workflow perspective, and a drawback as it's not cross-platform. As far as I know, the C# Interactive pane does not support NuGet packages or navigating to documentation/source code. Subjectively, it does not follow typical command line keybindings, so can feel a bit foreign.
csi.exe ships with C# and is a command line REPL. It's great because it's a cross platform REPL that comes out of the box, but it doesn't support syntax highlighting or autocompletion.
dotnet script allows you to run C# scripts from the command line. It has a REPL built-in, but the predominant focus seems to be as a script runner. It's a great tool, though, and has a strong community following.
dotnet interactive is a tool from Microsoft that creates a Jupyter notebook for C#, runnable through Visual Studio Code. It also provides a general framework useful for running REPLs.
Download Details:
Author: waf
Source Code: https://github.com/waf/CSharpRepl
License: MPL-2.0 License
1649917336
This book was originally (and currently) designed for use with STAT 420, Methods of Applied Statistics, at the University of Illinois at Urbana-Champaign.
This book was originally (and currently) designed for use with STAT 420, Methods of Applied Statistics, at the University of Illinois at Urbana-Champaign. It may certainly be used elsewhere, but any references to “this course” in this book specifically refer to STAT 420.
This book is under active development. When possible, it would be best to always access the text online to be sure you are using the most up-to-date version. Also, the html version provides additional features such as changing text size, font, and colors. If you are in need of a local copy, a pdf version is continuously maintained, however, because a pdf uses pages, the formatting may not be as functional. (In other words, the author needs to go back and spend some time working on the pdf formatting.)
#statistics #r #programming #textbook #ebook #book
1649813132
This third edition of Braun and Murdoch’s bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you’ll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples – from real applications – hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.
#statistical #programming #r #datascience #machinelearning #developer #ebook #book #pdf
1649817710
Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis. Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the private sector, or academia. Starting at the most basic introduction to data and going through most crucial statistical methods, this introductory textbook quickly gets students new to statistics up to speed running analyses and interpreting data from social science research.
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