How to Flush Your Cache on Windows and Router

I work a lot with DNS settings for my websites and apps. Today I added a few new DNS entries to set up a new server. I used DNS propagation checkers and confirmed that the DNS entries were already updated internationally. But unfortunately, I myself couldn’t access the website on my Windows machine behind my … Read more

How I Built a House Price Prediction App Using Streamlit

In this tutorial, I will take you through a machine learning project on House Price prediction with Python. We have previously learned how to solve a classification problem. πŸ‘‰ Recommended: How I Built and Deployed a Python Loan Eligibility Prediction App on Streamlit Today, I will show you how to solve a regression problem and … Read more

Two Easy Ways to Encrypt and Decrypt Python Strings

Today I gave a service consultant access to one of my AWS servers. I have a few files on the server that I was reluctant to share with the service consultant because these files contain sensitive personal data. Python is my default way to solve these types of problems. Naturally, I wondered how to encrypt … Read more

Python Dictionary Append – 4 Best Ways to Add Key/Value Pairs

You can add multiple key-value pairs to a Python dictionary by using the update() method and passing a dictionary as an argument. For example, dict1.update(dict2) will insert all key-value pairs of dict2 into dict1. You can add a single key:value pair to a Python dictionary by using the square bracket approach dict[key] = value. In … Read more

$821,000 Ethereum Value per Solidity Developer

Ethereum’s Total Value Locked (TVL) is $28,000,000,000 USD and Ethereum’s market cap is $193,000,000,000 USD. Based on my estimations below, there are at most 269,000 monthly active Solidity developers. Therefore, the Ethereum TVL per Solidity developer is more than $104,000, and the Ethereum market cap per Solidity developer is more than $717,000. So for all … Read more

Basketball Statistics – Page Scraping Using Python and BeautifulSoup

In this blog series, powerful Python libraries are leveraged to help uncover some hidden statistical truths in basketball. The first step in any data-driven approach is to identify and collect the data needed. Luckily for us, Basketball-Reference.com hosts pages of basketball data that can be easily scraped. The processes of this walkthrough can be easily … Read more