I think all Pythonistas will be able to relate to this hurdle. You have a large downloaded asset that you have to analyse & draw insights from. Now, if you’re someone who generally uses external IDEs like Google Collab or Replit then this will be a huge pain to upload the large asset which can … Read more
In today’s post I will be walking you through a Python Library called LangDetect that will do the job of Text Language Detection for you. The Library we will be using is called LangDetect It is a Language-detection library ported from Google’s language-detection of Nakatani Shuyo’s language-detection library. Below are some coverage about this library/method. … Read more
In this post, I will talk about how you can leverage Reddit API in conjunction with a Python script and Google Colab Notebook to conduct web scraping around a brand name. What’s the use case? Let’s say you want to inquire what people think about the brand in question then in that case this Python … Read more
In this post, I will explain how to use GSC (Google Search Console) API with Python Script to identify the outliers in Search Impressions & Search Clicks data. Outliers here means Anomalies in the data. i.e. query you received impressions or clicks for unusally. Let’s say there are X number of queries you receive clicks … Read more
Ever wondered what Carbon Footprint your webpage left behind? Let’s first establish what a Carbon Footprint is. In the words of Emich.edu A carbon footprint is the total greenhouse gas (GHG) emissions caused directly and indirectly by an individual, organization, event or product. The internet consumes a lot of electricity and the same electricity (at … Read more
Wikipedia has covered pretty much every topic your mind can conceive. Another thing Wikipedia is good at is internally linking from one page to another. Wouldn’t it be great to have this corpus of knowledge as a reference point? I was doing some research & found out that there happens to be a Wikipedia API … Read more
Vector Embeddings are all the rage in SEO right now. Since LLMs like ChatGPT & Google AIO came into the picture vector embeddings are getting an overwhelming adoption for various use cases. What are Vector Embeddings? Simply put, Vector Embeddings are a concept in NLP (Natural Language Processing) here the indication is towards word embeddings … Read more
Cannibalization is a topic in SEO that can be seen as proactive or reactive. Proactive is when you do an existing analysis before launching any new page to ensure that you are not going to cannibalize the existing page with a new page. But if you encounter a website that already has hundreds of thousands … Read more
What is Named Entity Extraction? In simpler terms Named Entity Extraction (NER) is a process of extracting entities from unstructured or raw text in Natural Language Processing. The purpose is to classify or cluster documents based on the extracted entities. There can be multiple use cases of NER but at its core, it’s to classify … Read more
Ever since Search Console API came into the picture there have been so many brilliant applications of it. Once you combine GSC API with Python the amount of data that you can extract, manipulate & visualize is simply incredible. In this post, I will explain how you can visualize Search Console URLs data with Month … Read more