In the previous post, I had discussed how you can use MetaMask and Web3.js library for creating the frontends of your blockchain apps. In this post, I am going a step further and will discuss how you can create a decentralized e-commerce website by using Python Flask as a backend and MetaMask libraries for accepting ETH on your website. Our typical demo website will look like the below:

Actually, I had planned another topic in Solidity Series for web3.js but then the post could go off tangent hence I am discussing the basics of web3.js and how to interact with a smart contract. I am going to use the same contract I had created here. Basically, it is the web3.js version of the last post.

Unlike other posts about web3.js based frontends that use NodeJs and React, I am not going to use any such thing because it is not required to create the front-end of a decentralized app. You do not even need NodeJS at all. …

This post going to be a bit longer as I am going to cover multiple concepts. I will be covering the following things:

  • Smart Contracts and how do they work in Ethereum blockchain.
  • The basics of Solidity Programming language and how to use online and existing IDEs to write and test them.
  • Using Truffle and Ganache for Ethereum development environment setup.
  • helps to integrate Smart Contract with Python applications.

What is a Smart Contract

According to Investopedia:

A smart contract is a self-executing contract with the terms of the agreement between buyer and seller being directly written into lines of code. The code and…

So I was exploring Telegram APIs for a project someone asked me to work on it. The script was actually a cron job that would be sending messages on daily basis. While working on it I found that you could come up with your own commands that can pull data from some remote API and display the results to Telegram users. I found this an opportunity for my next blog post which I am writing here 🙂

Telegram is very much similar to WhatsApp for communication and it is quite popular among Crypto lovers. …

In this post, I am going to talk about Proto Buffers and how you can use them in Python for passing messages across networks. Protocol Buffers or Porobuf in short, are used for data serialization and deserialization. Before I discuss Protobuf, I would like to discuss data serialization and serialization first.

Data Serialization and De-serialization

According to Wikipedia

Serialization is the process of translating a data structure or object state into a format that can be stored (for example, in a file or memory data buffer) or transmitted (for example, over a computer network) and reconstructed later (possibly in a different computer environment)


I had written about Elasticsearch almost 3 years ago in June 2018. During this time a new Elasticsearch version launched which has some new features and changes. I’d be repeating some concepts again in this post so one does not have to go to the old post to learn about it. So, let’s begin!

What is ElasticSearch?

ElasticSearch (ES) is a distributed and highly available open-source search engine that is built on top of Apache Lucene. It’s open-source which is built in Java thus available for many platforms. You store unstructured data in JSON format which also makes it a NoSQL database. …

Usually, when you start developing a scraper to scrape loads of records, your first step is usually to go to the page where all listings are available. You go to the page by page, fetch individual URLs, store in DB or in a file and then start parsing. Nothing wrong with it. The only issue is the wastage of resources. Say there are 100 records in a certain category. Each page has 10 records. Ideally, you will write a scraper that will go page by page and fetch all links. Then you will switch to the next category and repeat…

This post is part of the FastAPI series.

This is another post related to FastAPI(indirectly) in which I am going to discuss how to use GraphQL based APIs to access and manipulate data. I already have discussed how you can make Rest API in the FastAPI framework in the previous post. We will be learning some basics of GraphQL and how graphene helps us to use Python for writing a GraphQL based application. So, let’s get started!

What is GraphQL

From the official website:

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL…

Photo by Nicolas Hoizey on Unsplash

This post is part of the FastAPI series.

In the first post, I introduced you to FastAPI and how you can create high-performance Python-based applications in it. In this post, we are going to work on Rest APIs that interact with a MySQL DB. We will also be looking at how we can organize routers and models in multiple files to make them maintainable and easier to read.

FastAPI does not strict you to use a certain database framework. You may use SQLAlchemy or any other you want. …

A step by step guide creating high performance APIs in Python

Photo by Nicolas Hoizey on Unsplash

In this post, I am going to introduce FastAPI: A Python-based framework to create Rest APIs. I will briefly introduce you to some basic features of this framework and then we will create a simple set of APIs for a contact management system. Knowledge of Python is very necessary to use this framework.

Before we discuss the FastAPI framework, let’s talk a bit about REST itself.

From Wikipedia:

Representational state transfer (REST) is a software architectural style that defines a set of constraints to be used for creating Web services. Web services that conform to the REST architectural style, called…

Adnan Siddiqi

Pakistani | Husband | Father | Software Consultant | Developer | blogger. I occasionally try to make stuff with code.

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