Erlang on Linux: Configuration and Installation

Erlang is a fast growing language and is used in many key applications. Being concurrent and fast..it is used in many applications where multiple service are required simultaneously.
It can be installed on linux via it package
or
simply from the terminal using : sudo apt-get install erlang

I did using the source file from the erlang site.
The following steps made me complete the installation:

1>download the tar file.
2> cd to the folder and unzip it.
3> go the unzipped folder.
4> Now, Erlang needs some other files to fully complete installations and generate documentations.
So the following steps needs to be done:

sudo apt-get install fop
sudo apt-get install libncurses-5-dev
sudo apt-get install openjdk6-jdk
sudo apt-get install unixodbc-dev
sudo apt-get install g++
sudo apt-get install libssl-dev

Still, Erlang requires wx libraries so we will do the following:

sudo apt-get install libwxbase2.8
sudo apt-get install libwxgtk2.8dev
sudo apt-get install libqt4opengldev
sudo apt-get install libgtk2.0dev

Now, we are ready to go...

cd to unzipped folder.
Type: ./configure
Type: make
Type: sudo make install

And there it will be....your Erlang ready to goo....
Test it by typing in the terminal..
erl
2+9.
It will print: 11
or
which erl
This is supposed to give : /usr/local/bin/erl
....So happy coding...Cheers...
...If there is any problem...let me know.. lets solve it together...

Comments

Behind the Scenes: How Generative AI Creates Music, Art, and Stories

When Machines Dream We’re living in a world where machines don’t just compute—they create. Generative AI is writing novels, composing symphonies, and painting pictures. But what’s really going on behind the screen? This post pulls back the curtain to reveal how generative AI actually creates —from writing a bedtime story to composing a lo-fi beat. Whether you're a curious creator or tech enthusiast, you’ll see the art of AI through a new lens. What is Generative AI, Really? Generative AI uses machine learning models—especially neural networks—to generate new content based on learned patterns. Trained on vast datasets, these models produce original music, images, and text based on user prompts. 1. How AI Writes Stories (e.g., ChatGPT, Claude) Step-by-step: You give a prompt: “Write a story about a lonely robot who finds a friend in the forest.” The model (like ChatGPT) draws on its training data to predict and generate the most likely next word, sentence, or paragr...

PromptCraft Series #1 : Blog series on the Art and Science of prompt engineering

Welcome to the Era of No-Code Prompt Engineering New post every Monday 🧠 What’s This Series About? Welcome to PromptCraft — your new favorite blog series dedicated to the art and science of prompt engineering for no-code platforms like Lovable , Replit , and more. Every Monday, we’ll dive deep into how non-developers and AI creators can craft powerful, accurate, and elegant prompts to build everything from chatbots and virtual assistants to internal tools, automations, and AI-powered apps — no coding required . Whether you're a startup founder, solopreneur, educator, content creator, or just a curious explorer, this series is for you. 🔍 What is Prompt Engineering? Prompt engineering is the process of crafting precise, structured, and smart inputs (prompts) that guide large language models (LLMs) like GPT-4 to produce useful, high-quality outputs. But unlike traditional coding, prompt engineering speaks the language of humans , not machines. It’s like programming in plai...

PromptCraft Blog Series #4: Crafting Prompts for Chatbots and Conversational AI.

."> PromptCraft Series #4 – Crafting Prompts for Chatbots ✨ PromptCraft Series #4 "Crafting Prompts for Chatbots and Conversational AI" 🗕️ New post every Monday ] 🤖 Why Chatbots Need Special Prompting Unlike one-shot tasks like generating summaries or captions, chatbots must think in conversations . Respond in real-time Maintain tone and personality Handle multiple topics Remember context across multiple turns Good prompt engineering makes this possible without code or training . 📊 Foundations of a Conversational Prompt "You are [name], a [role]. You respond in a [tone] tone. Your answers are [length/style]. When asked [topics], reply with [behavior]. You must remember: [rules/context]." ✨ Example 1: A Friendly AI Tutor You are Elan, an AI math tutor for high school students. You respond in a calm and encouraging tone. ...

Visionary Vibes

Search This Blog