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How to Set Up Development Environments in Ubuntu

This guide will help you set up a comprehensive development environment on Ubuntu, with a focus on web development, Python programming, and AI/ML workflows.

Basic Development Tools

Essential Build Tools and Libraries

First, install the basic development packages:

sudo apt update
sudo apt install build-essential git curl wget unzip

Setting Up Version Control with Git

sudo apt install git
git config --global user.name "Your Name"
git config --global user.email "your.email@example.com"

Generate an SSH key for GitHub/GitLab:

ssh-keygen -t ed25519 -C "your.email@example.com"
cat ~/.ssh/id_ed25519.pub

Copy the output and add it to your GitHub/GitLab account.

Python Development Environment

Installing Python and Core Tools

Ubuntu comes with Python pre-installed, but make sure you have the latest version and essential tools:

sudo apt install python3 python3-pip python3-venv

Setting Up Virtual Environments

Create a dedicated directory for your Python projects:

mkdir -p ~/Projects/Python
cd ~/Projects/Python

Create a virtual environment for a new project:

python3 -m venv myproject-env
source myproject-env/bin/activate

Install packages in the virtual environment:

pip install numpy pandas matplotlib jupyter

Installing Anaconda/Miniconda (Optional)

For data science and AI/ML workflows, Anaconda provides a comprehensive environment:

  1. Download Miniconda:

    wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

  2. Install:

    bash Miniconda3-latest-Linux-x86_64.sh

  3. Create and activate a conda environment:

    conda create -n myenv python=3.10
conda activate myenv

  4. Install packages:

    conda install numpy pandas scikit-learn matplotlib jupyter

Installing PyCharm (IDE for Python)

sudo snap install pycharm-community --classic

For the Professional edition:

sudo snap install pycharm-professional --classic

Web Development Setup

Node.js and npm

Install Node.js using nvm (Node Version Manager) for better flexibility:

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash

Close and reopen your terminal, then:

nvm install --lts
nvm use --lts

Verify the installation:

node --version
npm --version

Installing Web Development Tools

npm install -g @angular/cli # Angular
npm install -g create-react-app # React
npm install -g @vue/cli # Vue

Setting Up VS Code for Web Development

Install Visual Studio Code:

sudo snap install code --classic

Launch VS Code and install essential extensions:

  • ESLint
  • Prettier
  • Live Server
  • JavaScript (ES6) code snippets
  • HTML CSS Support
  • Auto Rename Tag

Database Setup

Installing PostgreSQL

sudo apt install postgresql postgresql-contrib

Start the service:

sudo systemctl enable postgresql
sudo systemctl start postgresql

Set up a user:

sudo -u postgres createuser --interactive

Installing MongoDB

wget -qO - https://www.mongodb.org/static/pgp/server-5.0.asc | sudo apt-key add -
echo "deb [ arch=amd64,arm64 ] https://repo.mongodb.org/apt/ubuntu focal/mongodb-org/5.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-5.0.list
sudo apt update
sudo apt install mongodb-org

Start the service:

sudo systemctl enable mongod
sudo systemctl start mongod

Installing MySQL/MariaDB

sudo apt install mariadb-server

Secure the installation:

sudo mysql_secure_installation

Docker and Containerization

Installing Docker

sudo apt install apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
sudo apt update
sudo apt install docker-ce docker-ce-cli containerd.io

Add your user to the docker group to run Docker without sudo:

sudo usermod -aG docker $USER

Log out and log back in for the changes to take effect.

Installing Docker Compose

sudo curl -L "https://github.com/docker/compose/releases/download/v2.5.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose

Verify the installation:

docker --version
docker-compose --version

AI and Machine Learning Setup

Installing TensorFlow with GPU Support

Prerequisites (after setting up NVIDIA drivers):

sudo apt install nvidia-cuda-toolkit

Install TensorFlow:

pip install tensorflow

Verify GPU support:

import tensorflow as tf
print("GPU Available: ", tf.config.list_physical_devices('GPU'))

Installing PyTorch with GPU Support

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

Verify GPU support:

import torch
print("CUDA Available: ", torch.cuda.is_available())

Setting Up Ollama for Local LLMs

curl -fsSL https://ollama.com/install.sh | sh

Download and run models:

ollama pull llama2
ollama run llama2

Installing CrewAI

pip install crewai

Setting Up Streamlit

pip install streamlit

Create a simple Streamlit app:

# app.py
import streamlit as st

st.title("Hello Streamlit")
st.write("This is a simple Streamlit app")

Run it:

streamlit run app.py

Setting Up Integrated Development Environments (IDEs)

Visual Studio Code

Already covered in the Web Development section. Configure Python extension:

  1. Install the Python extension
  2. Set up linting (Pylint or Flake8)
  3. Configure formatter (Black or autopep8)

JetBrains Toolbox (for multiple JetBrains IDEs)

curl -fsSL https://raw.githubusercontent.com/nagygergo/jetbrains-toolbox-install/master/jetbrains-toolbox.sh | bash

Launch JetBrains Toolbox and install:

  • PyCharm for Python
  • IntelliJ IDEA for Java
  • WebStorm for JavaScript
  • DataGrip for Databases

Setting Up Version Control GUIs

GitKraken

wget https://release.gitkraken.com/linux/gitkraken-amd64.deb
sudo dpkg -i gitkraken-amd64.deb
sudo apt install -f

GitHub Desktop for Linux (Unofficial)

wget -qO - https://packagecloud.io/shiftkey/desktop/gpgkey | sudo apt-key add -
sudo sh -c 'echo "deb [arch=amd64] https://packagecloud.io/shiftkey/desktop/any/ any main" > /etc/apt/sources.list.d/packagecloud-shiftkey-desktop.list'
sudo apt update
sudo apt install github-desktop

Terminal Enhancements for Development

Installing and Configuring Zsh

sudo apt install zsh
sh -c "$(curl -fsSL https://raw.github.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"

Install useful plugins in ~/.zshrc:

plugins=(git docker docker-compose npm python pip vscode)

Installing Terminator for Split Terminal Windows

sudo apt install terminator

Productivity Tools for Developers

Installing Postman for API Testing

sudo snap install postman

Installing DBeaver for Database Management

sudo snap install dbeaver-ce

Setting Up a Local Web Server

LAMP Stack (Linux, Apache, MySQL, PHP)

sudo apt install apache2 mysql-server php libapache2-mod-php php-mysql

NGINX Server

sudo apt install nginx

Best Practices for Development in Ubuntu

  1. Keep Your System Updated:

    sudo apt update && sudo apt upgrade

  2. Use Version Control for All Projects:

    git init
git remote add origin [repository-url]

  3. Backup Your Development Environment:

    • Use backup tools as described in the backup guide
    • Back up configuration files and databases regularly

  4. Use Virtual Environments:

    • For Python: venv or conda
    • For Node.js: nvm
    • For different projects: Docker containers

  5. Monitor System Resources:

    sudo apt install htop

  6. Automate Routine Tasks:

    • Create shell scripts for repetitive tasks
    • Use Makefiles for project-specific commands

By following this guide, you'll have a fully-featured development environment in Ubuntu, capable of handling web development, Python programming, and AI/ML workflows with optimal performance.

From Windows to Ubuntu: Embracing Open Source
Essential Ubuntu Updates and Security
How to Set Up NVIDIA Graphics Card in Ubuntu
1
2
3
4
5
6
7

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ubuntudevelopmentguide