Ubuntu Setup

ubuntu_setup.md

1. Installing NVIDIA Drivers ❗❗

ubuntu-drivers devices
sudo ubuntu-drivers autoinstall

2. From last command see nvidia-driver-number and use it in the command below and then reboot 📺 ✔️

sudo apt install nvidia-driver-#

3. Install rclone for uploading and downloading to cloud storage and verify ⏫⏬

   sudo apt install rclone
   rclone -V
   rclone config
   rclone listremotes

4. Use alsamixer for audio and check gcc as well grub emulator to see your boot grub window as emulation and neofetch to see system specs 🎹 🎺

   sudo apt-get install grub-emu
   gcc --version
   alsamixer
   sudo apt install neofetch

5. For themes and other extensions install gnome extensions and ffmpeg for merging of best audio and video of a YT video downloaded using youtube-dl 🎥 ➕🎙️

   sudo apt install gnome-chrome-shell
   sudo apt install gnome-shell-extensions
   sudo apt install ffmpeg

6. Installing grub customiser for easy modifications of boot options and boot time. 🛠️ ⏳ ⏰

   sudo add-apt-repository ppa:danielrichter2007/grub-customizer
   sudo apt-get update
   sudo apt install grub-customizer

7. POP OS THEME INSTALLATION 🎉 🎊 🔮

   sudo add-apt-repository ppa:system76/pop
   sudo apt-get update
   sudo apt install pop-theme

8. INSTALL ANACONDA for Python and Data Science 🐍

   wget https://repo.anaconda.com/archive/Anaconda3-2019.03-Linux-x86_64.sh
   bash Anaconda3-2019.03-Linux-x86_64.sh
   conda install -y jupyter
   conda install -y scipy
   conda install -y sklearn
   conda install -y pandas
   conda install -y pandas-datareader
   conda install -y matplotlib pillow
   conda install -y upgrade requests
   conda install -y upgrade h5py
   conda install -y nb_conda

9. Create a new tensorflow_1 environment and install whatever is required into this folder.

   conda create --name tensorflow_1 python=3.6
   python --version
   conda list
   conda install -y jupyter
   conda install -y scipy
   pip install --upgrade sklearn
   conda install -y pandas
   conda install -y pandas-datareader
   conda install -y matplotlib
   conda install -y pillow
   conda install -y upgrade requests
   conda install -y upgrade h5py
   conda install -y nb_conda
   pip install --upgrade tqdm
   pip install --upgrade requests
   pip install --upgrade h5py
   pip install --upgrade pyyaml
   pip install --upgrade tensorflow_hub
   pip install --upgrade bayesian-optimization
   pip install --upgrade tensorflow==1.12.0
   pip install --upgrade keras==2.2.4
   pip install --upgrade keras
   conda install scipy
   pip install --upgrade sklearn
   pip install --upgrade pandas
   pip install --upgrade pandas-datareader
   pip install --upgrade matplotlib
   pip install --upgrade pillow
   pip install tensorflow-gpu

10. Go to this link for guide on installing TensorFlow with GPU support on Ubuntu 18.04 LTS + CUDA 10.1. 🥇

11. Go to this link to see your GPU, CPU and Hard Drive Temperatures. ♨️💻

12. Checking whether Python3 of anaconda is being used, and installing jre followed by scala 🐍

    which python
    sudo apt-get update
    sudo apt-get install default-jre
    java -version
    pip install py4j
    wget https://www.apache.org/dyn/closer.lua/spark/spark-2.4.3/spark-2.4.3-bin-hadoop2.7.tgz
    sudo tar -xvzf spark-2.4.3-bin-hadoop2.7.tgz
    export SPARK_HOME='/home/cosmic/spark-2.0.0-bin-hadoop2.7'
    export PATH=$SPARK_HOME:$PATH
    export PYTHONPATH=$SPARK_HOME/python:$PYTHONPATH

13. Install flatpak for additional softwares 📦

    sudo apt install gnome-software-plugin-flatpak
    flatpak remote-add --if-not-exists flathub https://flathub.org/repo/flathub.flatpakrepo
    gsettings set org.gnome.shell.extensions.dash-to-dock click-action 'minimize'

14. Stacer to keep track of CPU, Memory, Dashboard, a much more aesthetic and performance wise better alternative of its Windows counterpart CCleaner. 💯 ♻️ 📌 🍴