Call External API in Snowflake without using External Functions
How to load data from external API into Snowflake table using Python
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Search the contents of DWG files with Python using OCR
AutoCAD has dominated the Computer Aided Design (CAD) space since the 1970’s. They created a file format for saving and sharing CAD files, and that extension is .dwg. These DWG files typically contain tags, labels, blueprints and more. It’s a treasure trove of rich unstructured data, that until now has been challenging to unlock.
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Building my first NLP text classification model using IPUs
This blog aims to demonstrate step-by-step how to fine-tune a Graphcore Hugging Face (HF) Optimum model for a text classification task on the GLUE General Language Understanding Evaluation benchmark. I will take it further by showing how to train and test the model using your own datasets. What is Natural Language
Read moreEveryday Project Packaging With pyproject.toml
Packaging is often associated with publishing a project on PyPI, which can make you bypass packaging as something you don’t need to worry about at the start of your project. Python packaging has also had a long history and can be overwhelming for all levels of programmers. But it doesn’t have to be a scary process! In this Code Conversation, you’ll follow a chat between Ian and Geir Arne demonstrating the relatively new, officially sanctioned way of setting up your […]
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Forecasting Football Results -Part 1: Web Scraping
Python project exploring football results and betting odds
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How sentiment analysis can help your company
AI-powered systems are present almost everywhere nowadays. It serves company interests in many ways. One of them is sentiment analysis in real-time or batch-processed. Sentiment analysis is a method that can deduce/predict the global feeling of text chunks, comments, articles, and any text object. Given that company reputation and image are the first plan concerns for
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Estimation of text complexity
A tool to determine a complexity level of a given document
Read moreDocument Classification using NLP
Perform document classification into four defined categories (World, Sports, Business, Sci/Tech). Compare the classifier accuracy with different models ranging from Naïve Bayes to Convolutional Neural Network (CNN) and RCNN. By making use of different feature engineering techniques and extra Natural Language Processing (NLP) features create an accurate text classifier. Document/Text classification is an important task that
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Python REST APIs With Flask, Connexion, and SQLAlchemy – Part 3
Most modern web applications are powered by a REST API under the hood. That way, developers can separate the front-end code from the back-end logic, and users can interact with the interface dynamically. In this three-part tutorial series, you’re building a REST API with the Flask web framework. You’ve created a foundation with a basic Flask project and added endpoints, which you connected to a SQLite database. You’re also testing your API with Swagger UI API documentation that you’re building […]
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Credit Valuation Adjustment for Interest Rate Swaps with CDS Data
In this blog post, I will guide you through the convoluted nature of calculating CVA for an IRS step by step. Please find the accompanying Python Notebooks on my GitHub page. We will take a look at the 8 steps required to calculate the Credit Valuation Adjustment (CVA) for hedging against the risk of default of the counterparty when entering an Interest Rate Swap (IRS) using
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