Truls Fretland itruls
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| syntax on |
itruls
/ aliases.sh
Last active
January 18, 2019 13:31
Common aliases (include in .bash_profile on OS X)
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| # Include in .bash_profile or similar | |
| if [[ $platform == 'linux' ]]; then | |
| alias ll='ls -alh --color=auto' | |
| alias ls='ls --color=auto' | |
| elif [[ $platform == 'darwin' ]]; then | |
| alias ll='ls -alGh' | |
| alias ls='ls -Gh' | |
| fi | |
| # ANSI color codes |
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| # Some found in https://github.com/nicksp/dotfiles/blob/master/osx/set-defaults.sh | |
| ########################### | |
| ### Finder improvements ### | |
| ########################### | |
| echo "Improving Finder:" | |
| # TODO: Should these commands be added to .profile or similar, or do they only need run once. | |
| echo "Show ~/Library folder ..." | |
| chflags nohidden ~/Library |
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| # Mac App Store Command Line Interface | |
| brew 'mas' | |
| brew 'maven' | |
| # AWS command line interface | |
| brew 'awscli' | |
| cask 'google-chrome' | |
| cask 'google-drive' | |
| cask 'github-desktop' | |
| cask 'microsoft-teams' |
itruls
/ install_software.sh
Last active
September 16, 2018 11:55
Setup new Mac with Homebrew and Anaconda
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| #!/bin/bash | |
| TEMP="/tmp" | |
| ANACONDA_REPO="https://repo.continuum.io/archive" | |
| # TODO: Update with latest installer. Updated 2018-05-30. | |
| ANACONDA_BIN="Anaconda3-5.2.0-MacOSX-x86_64.sh" | |
| APPLEID="email@email.com" | |
| #TODO: First check if Command Line Tools are already installed: |
itruls
/ exercise1_solution.py
Created
August 24, 2017 07:27
Workshop Exercise 1 solution: Load data set from url
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| ### EXERCISE: Load data set from url | |
| # Load the Iris data set (directly) from it's [original source](https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data) | |
| # using [pandas.read_csv](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html). | |
| # | |
| # Verify that the data is correct by comparing output from [pandas.DataFrame.describe](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html) | |
| # on dataset you loaded with dataset loaded directly from scikit learn. | |
| # SOLUTION | |
| url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data' | |
| column_names = ['sepal length', 'sepal width', 'petal length', 'petal width', 'class'] |