Writing in the World of Artificial Intelligence

Open AI’s ChatGPT has taken over as the next invention of ‘fire’, but that is not all that’s new, stay up to date with the latest and greatest that's what we cover here.

Follow publication

Member-only story

Blockchain is still a thing in 2024?

Despite the hype cycles and the fluctuating public interest, blockchain technology remains a potent force in the tech landscape. Its potential to revolutionize various industries extends far beyond cryptocurrencies. In this blog post, we’ll explore how blockchain is very much alive and kicking, and how Python, a favorite among data scientists, can be used to harness its power. We’ll also provide some practical Python code examples to illustrate how you can integrate blockchain into your data science projects.

The Current State of Blockchain

Blockchain technology offers a decentralized, transparent, and immutable ledger system. These features make it ideal for applications requiring security, transparency, and traceability. While the initial excitement around cryptocurrencies has somewhat waned, the underlying technology of blockchain has found robust applications in various domains:

  1. Supply Chain Management: Ensuring the authenticity and traceability of products.
  2. Healthcare: Secure and transparent patient data management.
  3. Finance: Secure and fast transactions, fraud detection.
  4. Voting Systems: Providing tamper-proof and transparent voting mechanisms.

Blockchain and Data Science: A Powerful Combination

In data science, the integrity and provenance of data are crucial. Blockchain can enhance data science applications by providing a secure and transparent framework for data management. Here are some areas where blockchain can be particularly beneficial:

  1. Data Provenance: Tracking the origin and history of data, ensuring its integrity.
  2. Secure Data Sharing: Enabling secure and controlled data sharing between parties.
  3. Decentralized Machine Learning: Training machine learning models on decentralized data while maintaining data privacy.

Using Python for Blockchain Applications

Python, with its rich ecosystem of libraries and frameworks, is well-suited for blockchain development. Here, we’ll explore how to interact with a blockchain using Python, focusing on creating a simple blockchain…

Create an account to read the full story.

The author made this story available to Medium members only.
If you’re new to Medium, create a new account to read this story on us.

Or, continue in mobile web

Already have an account? Sign in

Writing in the World of Artificial Intelligence
Writing in the World of Artificial Intelligence

Published in Writing in the World of Artificial Intelligence

Open AI’s ChatGPT has taken over as the next invention of ‘fire’, but that is not all that’s new, stay up to date with the latest and greatest that's what we cover here.

Abish Pius
Abish Pius

Written by Abish Pius

Data Science Professional, Python Enthusiast, turned LLM Engineer

No responses yet

Write a response