Python

Creating Our Own Chat GPT

By Nikita Bragin   9,275 Jul 27, 2023

In June, OpenAI announced that third-party applications' APIs can be passed into the GPT model, opening up a wide range of possibilities for creating specialized agents. Our team decided to write our own chat for working with GPT4 from OpenAI and other ML/LLM models with the ability to customize for the company's internal needs.

The Ultimate Guide to Pip

By khumbo klein   1,383 Jun 12, 2023

Developers may quickly and easily install Python packages from the Python Package Index (PyPI) and other package indexes by using Pip. Pip successfully handles package dependencies, ensuring the proper purchase and installation of all necessary packages.

Understanding Python Decorators and How to Use Them Effectively

By Tonie Victor   13,507 May 13, 2023

Python decorators are a super handy and flexible aspect of the language, and I think that getting the hang of them is crucial for any Python programmer. Decorators let you adjust the behavior of functions or classes while they're running, all without messing with their original code.

Building a serverless web application with Python and AWS Lambda

By Ekekenta Clinton   4,068 May 8, 2023

AWS Lambda is a serverless computing solution that enables you to run code without the need for server provisioning or management. It automatically scales and manages the underlying computing resources, allowing you to focus on your application code.

Unsupervised Sentiment Analysis using VADER and Flair

By Mohtashim Nawaz   2,747 Apr 15, 2023

In the realm of sentiment analysis, there are two primary approaches, supervised and unsupervised learning. Supervised learning means you need a labeled dataset to train a model, while unsupervised learning does not depend on labeled data.

Implementing Machine Learning in Web Applications with Python and TensorFlow

By Ekekenta Clinton   1,884 Apr 7, 2023

The Google-developed open-source software package TensorFlow is used to create and train machine learning models. Because it functions particularly well with large-scale neural networks, it has become one of the most extensively used machine learning frameworks.

Learn how to deploy an ML model to the web

By Umoren Samuel   5,054 Mar 31, 2023

I’ve worked as a web developer for a while, and most times, I’m amazed at how web apps such as Facebook and Instagram are able to detect and recognize objects in images. I reckon a machine learning model like MobileNet makes this possible, but how do you deploy this model to the web?

Building Machine Learning-Enabled Web Applications with Django and Scikit-Learn Introduction

By Adhinga Fredrick   2,045 Mar 28, 2023

Machine Learning (ML) has become an integral part of modern web applications due to its ability to improve user experiences, streamline processes, and make data-driven decisions.

Optimizing Database Interactions in Python: SQLAlchemy Best Practices

By Bukunmi Oyelekan   7,089 Mar 27, 2023

Databases are the lifeblood of modern applications, powering everything from simple blogs to complex e-commerce platforms. Python, one of the most popular and versatile programming languages, has a rich ecosystem of tools and libraries to interact with databases efficiently and effectively.

Implementing a BackgroundRunner with Flask-Executor

By Bukunmi Oyelekan   3,783 Mar 22, 2023

In today's fast-paced digital landscape, providing a responsive and user-friendly experience has become paramount for web applications. One common challenge developers face is efficiently handling time-consuming tasks, such as sending emails, without affecting the overall application performance. In this article, I introduce a powerful Flask Email Sender with Background Runner.