🖍️
gitbook_docs
  • Introduction
  • Machine Learning
    • Recommended Courses
      • For Undergrad Research
      • Math for Machine Learning
    • ML Notes
      • Covariance Correlation
      • Feature Selection
      • Linear Regression
      • Entropy, Cross-Entropy, KL Divergence
      • Bayesian Classifier
        • Terminology Review
        • Bayesian Classifier for Normally Distributed classes
      • Linear Discriminant Analysis
      • Logistic Regression
        • Logistic Regression Math
      • Logistic Regression-MaximumLikelihood
      • SVM
        • SVM concept
        • SVM math
      • Cross Validation
      • Parameter, Density Estimation
        • MAP, MLE
        • Gaussian Mixture Model
      • E-M
      • Density Estimation(non-parametric)
      • Unsupervised Learning
      • Clustering
      • kNN
      • WaveletTransform
      • Decision Tree
    • Probability and Statistics for Machine Learning
      • Introduction
      • Basics of Data Analysis
      • Probability for Discrete Random Variable
      • Poisson Distribution
      • Chi-Square Distribution
      • P-value and Statistical Hypothesis
      • Power and Sample Size
      • Hypothesis Test Old
      • Hypothesis Test
      • Multi Armed Bandit
      • Bayesian Inference
      • Bayesian Updating with Continuous Priors
      • Discrete Distribution
      • Comparison of Bayesian and frequentist inference
      • Confidence Intervals for Normal Data
      • Frequenist Methods
      • Null Hypothesis Significance Testing
      • Confidence Intervals: Three Views
      • Confidence Intervals for the Mean of Non-normal Data
      • Probabilistic Prediction
  • Industrial AI
    • PHM Dataset
    • BearingFault_Journal
      • Support Vector Machine based
      • Autoregressive(AR) model based
      • Envelope Extraction based
      • Wavelet Decomposition based
      • Prediction of RUL with Deep Convolution Nueral Network
      • Prediction of RUL with Information Entropy
      • Feature Model and Feature Selection
    • TempCore Journal
      • Machine learning of mechanical properties of steels
      • Online prediction of mechanical properties of hot rolled steel plate using machine learning
      • Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural
      • Tempcore, new process for the production of high quality reinforcing
      • TEMPCORE, the most convenient process to produce low cost high strength rebars from 8 to 75 mm
      • Experimental investigation and simulation of structure and tensile properties of Tempcore treated re
    • Notes
  • LiDAR
    • Processing of Point Cloud
    • Intro. 3D Object Detection
    • PointNet
    • PointNet++
    • Frustrum-PointNet
    • VoxelNet
    • Point RCNN
    • PointPillars
    • LaserNet
  • Simulator
    • Simulator List
    • CARLA
    • Airsim
      • Setup
      • Tutorial
        • T#1
        • T#2
        • T#3: Opencv CPP
        • T#4: Opencv Py
        • Untitled
        • T#5: End2End Driving
  • Resources
    • Useful Resources
    • Github
    • Jekyll
  • Reinforcement Learning
    • RL Overview
      • RL Bootcamp
      • MIT Deep RL
    • Textbook
    • Basics
    • Continuous Space RL
  • Unsupervised Learning
    • Introduction
  • Unclassified
    • Ethics
    • Conference Guideline
  • FPGA
    • Untitled
  • Numerical Method
    • NM API reference
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  • Jekyll on Windows
  • Installing Ruby and Jekyll
  • Windows Subsystem for Linux Installation Guide for Windows 10

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  1. Resources

Jekyll

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Last updated 3 years ago

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Jekyll on Windows

While Windows is not an officially-supported platform, it can be used to run Jekyll with the proper tweaks

Installing Ruby and Jekyll

Installation via RubyInstaller

The easiest way to install Ruby and Jekyll is by using the RubyInstaller for Windows.

RubyInstaller is a self-contained Windows-based installer that includes the Ruby language, an execution environment, important documentation, and more.

We only cover RubyInstaller-2.4 and newer here. Older versions need to install the Devkit manually.

  1. Download and install a Ruby+Devkit version from RubyInstaller Downloads. Use default options for installation.

  2. Run the ridk install step on the last stage of the installation wizard. This is needed for installing gems with native extensions. You can find additional information regarding this in the RubyInstaller Documentation

  3. Open a new command prompt window from the start menu, so that changes to the PATH environment variable becomes effective. Install Jekyll and Bundler using gem install jekyll bundler

  4. Check if Jekyll has been installed properly: jekyll -v

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Windows Subsystem for Linux Installation Guide for Windows 10

In order to use the wsl --install simplified install command, you must:

  • Join the Windows Insiders Program

  • Install a preview build of Windows 10 (OS build 20262 or higher).

  • Open a command line window with Administrator privileges

Once those requirements are met, to install WSL:

  • Enter this command in the command line you've opened in Admin mode: wsl.exe --install

  • Restart your machine

The first time you launch a newly installed Linux distribution, a console window will open and you'll be asked to wait for files to de-compress and be stored on your PC. All future launches should take less than a second.

You will then need to create a user account and password for your new Linux distribution.

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