### NOTE: ##########################################################################################
###     Might get some duplicate applications,
###     since Ubunutu is using "snap" for some pre-installed applications,
###     for example gnome-system-monitor.
####################################################################################################

# Make sure OS is up-to-date
    sudo apt update && sudo apt full-upgrade -y

# Vim
    sudo apt install vim

# Install Firefox

# Improve wireless network speed:
    # https://unix.stackexchange.com/questions/269661/how-to-turn-off-wireless-power-management-permanently

# Install nvidia/cuda/GPU support for ML:
    # From https://www.tensorflow.org/install/gpu

    # Add NVIDIA package repositories
        wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
        sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
        sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
        sudo apt-get update
        wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
        sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
        sudo apt-get update

    # Install NVIDIA driver
        ubuntu-drivers devices
        THEN
            sudo apt install {{{the recommended one}}}
        FOR EXAMPLE
            sudo apt install nvidia-driver-435
        sudo apt-get install --no-install-recommends nvidia-driver-418
    # Reboot. Check that GPUs are visible using the command:
        nvidia-smi

    # Install CUDA development and runtime libraries (~4GB), and TensorRT (requires that libcudnn7 is installed).
        sudo apt-get install cuda libcudnn7 libcudnn7-dev libnvinfer5 libnvinfer-dev

    # Check versions:
    apt show versions cuda libcudnn7 libcudnn7-dev libnvinfer5 libnvinfer-dev | grep -E "Version|Package"

# Installing cuda this way might break apt update or upgrade.
    # If have problems, see this.
    # Might have to just let apt install the CUDA/TensorRT versions it wants to... :( :( :( ???
    # Google search:
        "Depends: libcublas-dev but it is not installed"
    # See
        https://devtalk.nvidia.com/default/topic/1048021/cuda-setup-and-installation/error-depends-libcublas-dev-gt-10-1-0-105-but-it-is-not-installed-ubuntu-18-04/

# Temperature and fan sensors
    sudo apt-get install lm-sensors xsensors
    sudo sensors-detect
        # Answer "yes" to everything. Might take a while.
    sudo service kmod start
    sensors

# Sublime Text
    # Install Sublime Text using instructions here: https://www.sublimetext.com/docs/3/linux_repositories.html#apt

# Sublime Merge
    # Install Sublime Merge from here: https://www.sublimemerge.com/download

# PyCharm
    sudo snap install pycharm-community --classic

# Git
    sudo apt install git

# Install a better font:
    # https://askubuntu.com/questions/193072/how-to-use-the-adobe-source-code-pro-font

# Install anaconda (accept default location "/home/bryan/anaconda3"):
    # https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html
    # https://docs.conda.io/projects/conda/en/latest/user-guide/index.html
    # https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html
    # test:
        (base) bryan@bryan-GS63VR-7RG:~/anaconda3/envs$ conda deactivate && which python
            /usr/bin/python
        bryan@bryan-GS63VR-7RG:~/anaconda3/envs$ conda activate && which python
            /home/bryan/anaconda3/bin/python
        (base) bryan@bryan-GS63VR-7RG:~/anaconda3/envs$
    # Update to latest:
        conda update conda
    # Create new environ for myself, specifying the python version:
        conda create -n pybry1 python=3.7
    # To install tensorflow in the selected environment:
        # See
            https://www.anaconda.com/tensorflow-in-anaconda/
            and
            https://www.tensorflow.org/install/gpu
        conda install tensorflow-gpu    # GPU version
            # OR
        conda install -c anaconda tensorflow-gpu=1.2.1  # Specific version fog GPU
            # OR
        conda install tensorflow        # non-GPU version
    # Test tensorflow:
        python
        import tensorflow as tf
        hello = tf.constant('Hello, TensorFlow!')
            # There will be some confusing output,
            # BUT look for lines near the end like:
            name: GeForce GTX 1070 major: 6 minor: 1 memoryClockRate(GHz): 1.7845
            pciBusID: 0000:01:00.0
            ...etc...
            ...etc...
            ...etc...
                Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7205 MB memory)
                -> physical GPU (device: 0, name: GeForce GTX 1070, pci bus id: 0000:01:00.0, compute capability: 6.1)
        exit()

# Gnome Tweak tool
    sudo apt install gnome-tweak-tool

# htop : better top
    sudo apt install htop

# Set custom timeout for going to blank screen to 1 hour:
    # The usual gnome power settings app doesn't have the right list of default values.
    sudo apt install dconf-editor
    # Run dconf-editor
    # Set the key org.gnome.desktop.session.idle-delay to 3600 seconds.

# Automatically mount /dev/sdb1 at boot:
    sudo mkdir /media/bryan/Slow\ Disk\ 1
    # Add the following (appropriately modified) line to /etc/fstab:
    /dev/sdb1       /media/bryan/Slow\040Disk\0401    ntfs    defaults    0    2    # The "\040" is for a space...
    # NOTE:
    #   If it chronically mounts in read-only mode, and you have dual-boot with Windows,
    #   then make sure Windows was shut down without hibernation or fast reboot.

# install qemu & virt-manager
    sudo apt install qemu virt-manager
    # Might get some issues when trying to use things.
    # Maybe needs a reboot.
    # Google.

# Install Windows inside qemu VM (using virt-manager):
    # Make sure the Windows ISO is not corrupt.
        # Win10_1903_V2_English_x64.iso should have SHA1 = b7ca3ccdfe292e0466f2a62ffbeab18972a7c7f9
    # Use "raw" for hard drive.
    # Select "copy host CPU"
    # Need to MANUALLY set the CPU tolopogy to make use of multiple cores, otherwise Windows 10 guest won't see them.
        # See this: http://www.openwebit.com/c/how-to-run-windows-vm-on-more-than-2-cores-under-kvm/
    # Do get better mouse in VM, do:
        Add Hardware -> Input -> EvTouch USB Graphics Tablet.

# Install Geekbench on host & VM, then benchmark host & VM.
    # Host Linux results: https://browser.geekbench.com/v5/cpu/574628
    # Windows VM results: https://browser.geekbench.com/v5/cpu/574804
    # UPDATE 2020-07-09: Results for newer CyberPower tower: https://browser.geekbench.com/v5/cpu/2864236

# Change login screen picture:
    sudo subl /usr/share/gnome-shell/theme/ubuntu.css
    # Changes:
        /*
            #lockDialogGroup {
            background: #2c001e url(resource:///org/gnome/shell/theme/noise-texture.png);
            background-repeat: repeat; }
        */
        #lockDialogGroup {
        background: #2c001e url(file:///home/bryan/Pictures/snowscape-3.jpg);
        background-repeat: no-repeat;
        background-size: cover;
        background-position: center;
        }

# LibreOffice
    sudo add-apt-repository ppa:libreoffice/ppa
    sudo apt update
    sudo apt install libreoffice

# Add Windows 10 to grub bootloader
    # See: https://superuser.com/questions/1392316/how-to-add-windows-10-to-grub-boot-loader
        1) Boot to your Linux
        2) Open a Terminal window
        3) Type: sudo os-prober
        4) If the results identify a Windows 10 install, type sudo update-grub which will update the GRUB entries and add it
        5) Reboot your computer and test to see if Windows 10 is a new option to select.

# Making Gnome prettier
    # See: https://www.youtube.com/watch?v=sfsKwzElxQg
        1) sudo apt install gnome-tweak-tool gnome-shell-extensions
        2) Go to http://gnome-look.org
            # Select GTK3 Themes
                # Download one, unpack, move folder to INSIDE ~/.themes
            # Select Icon Themes
                # Download one, unpack, move folder to INSIDE ~/.icons
        3) Use gnome-tweak-tool to select the theme and the icons
    # AND/OR:
        # sudo apt install arc-theme
            # https://github.com/horst3180/arc-icon-theme for the icons
                # Unpack, move folder to INSIDE ~/.icons
        # sudo apt install numix-gtk-theme numix-icon-theme

# Latex
    sudo apt-get install texlive-full
    # https://evgenii.com/blog/creating-pdf-from-latex-in-sublime-text-3/

# Jekyll static site generator
    # https://jekyllrb.com/docs/step-by-step
        sudo apt-get install ruby-full build-essential zlib1g-dev
        echo '# Install Ruby Gems to ~/gems' >> ~/.bashrc
        echo 'export GEM_HOME="$HOME/gems"' >> ~/.bashrc
        echo 'export PATH="$HOME/gems/bin:$PATH"' >> ~/.bashrc
        source ~/.bashrc
        gem install jekyll bundler

# Using Jekyll with GitHub pages
    # https://help.github.com/en/github/working-with-github-pages/creating-a-github-pages-site-with-jekyll
    # Themes: https://mmistakes.github.io/minimal-mistakes/docs/quick-start-guide/
    # Themes: https://mmistakes.github.io/minimal-mistakes/docs/configuration/

# Running Jekyll server locally for testing:
    # https://jekyllrb.com/docs/step-by-step/10-deployment/
        cd Documents/GitHub/bryanj1234.github.io/
        bundle exec jekyll serve --watch
    # browse to localhost:4000

# WordPress
    # https://ubuntu.com/tutorials/install-and-configure-wordpress#1-overview
        sudo apt update
        sudo apt install wordpress php libapache2-mod-php mysql-server php-mysql
    # Follow the rest of the instructions to configure site in apache and configure mysql.
    # NOTE! As of 2020-07-16, the step which creates the mysql user and assigns privileges
        is broken because of changes in MySQL 8.