Implementing A Byte Pair Encoding (BPE) Tokenizer From Scratch
This is a standalone notebook implementing the popular byte pair encoding (BPE) tokenization algorithm, which is used in models like GPT-2 to GPT-4, Llama 3,...
python
Image Processing With the Python Pillow Library – Real Python
In this step-by-step tutorial, you'll learn how to use the Python Pillow library to deal with images and perform image processing. You'll also explore using NumPy for further processing, including to create animations.
Demand Forecasting with Darts: A Tutorial
A hands-on tutorial with Python and Darts for demand forecasting, showcasing the power of TiDE and TFT
CMU Researchers Introduce TNNGen: An AI Framework that Automates Design of Temporal Neural Networks (TNNs) from PyTorch Software Models to…
Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development processes. TNNs have been identified as highly promising for real-time edge AI…
Welcome to Flask — Flask Documentation (3.1.x)
75 Data Science Projects with Python | Aman Kharwal
In this article, I’ll take you through a list of 75 guided projects to master Data Science with Python. 75 Data Science Projects with Python.
An Introduction to Dask: The Python Data Scientist's Power Tool - KDnuggets
Ever wondered how to handle large data without slowing down your computer? Let’s learn about Dask, a tool that helps you work with large data quickly.
7 Essential Python Libraries for MLOps - KDnuggets
Popular MLOps Python tools that will make machine learning model deployment a piece of cake.
Note: 1. MLflow MLflow is an open-source framework that manages the complete machine learning lifecycle, from experimentation to deployment. It offers four key components: Tracking: Log parameters, metrics, and artifacts from your machine learning model runs. Projects: Package data science code in a reusable, reproducible form. Models: Deploy models from any ML library in a variety of ways. Registry…
A Curated List of 57 Amazing GitHub Repositories for Every Python Developer
Photo by Luke Chesser on Unsplash
10 Python One-Liners
[caption align=
10 Essential Python Libraries for Data Science in 2024
The richness of Python’s ecosystem has one downside – it makes it difficult to decide which libraries are the best for your needs. This article is an attempt to amend this by suggesting ten (and some more, as a bonus) libraries that are an absolute must in data science.
What Are Python Ternary Operators and How Do You Use Them?
When you need to assign a value to a variable, based on a single condition, and you want to keep your code short and sweet, a ternary operator might be your best option.
Document Analysis using LLMs with Python | Aman Kharwal
In this article, I'll take you through the task of document analysis using LLMs with Python. Document Analysis using LLMs with Python.
Everything you need to know about Python 3.13 – JIT and GIL went up the hill | drew's dev blog
All you need to know about the latest Python release including Global Interpreter Lock and Just-in-Time compilation.
Python's GIL, Multithreading and Multiprocessing
This tutorial explains the Python global interpreter lock (GIL), which prevents multiple threads from executing Python code at the same time.
Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates
Learn which variables you should and should not take into account in your model.
rerankers: A Lightweight Python Library to Unify Ranking Methods – Answer.AI
Re-ranking is an integral component of many retrieval pipelines; however, there exist numerous approaches to it, all with different implementation methods. To mitigate this, we propose rerankers, a Python library which provides a simple, easy-to-use interface to all commonly…
A Python Engineer’s Introduction To 3D Gaussian Splatting (Part 1)
Understanding and coding Gaussian Splatting from a Python Engineer’s perspective
A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 2)
Understanding and coding how Gaussian’s are used within 3D Gaussian Splatting
A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 3)
Part 3 of our Gaussian Splatting tutorial, showing how to render splats onto a 2D image.
Full Guide to Building a Professional Portfolio with Python, Markdown, Git,
This article is a end-to-end guide to build a professional portfolio for developpers and data workers based on github page.
PacktPublishing/Modern-Graph-Theory-Algorithms-with-Python
Modern Graph Theory Algorithms with Python, published by Packt - PacktPublishing/Modern-Graph-Theory-Algorithms-with-Python
Customer Satisfaction Analysis with Python
In this article, I'll take you through the task of Customer Satisfaction Analysis with Python. Customer Satisfaction Analysis with Python.
Introducing ‘Mark’, a Markdown CLI tool for GPT4o | Ryan Elston
Introduction In this post, I want to introduce Mark, a simple CLI tool that uses Markdown and its syntax to interact naturally with the GPT4-vision/GPT4o models.
Understanding and Implementing Genetic Algorithms in Python
Understanding what genetic algorithms are and how they can be implemented in Python.
BM25S: A Python Package that Implements the BM25 Algorithm for Ranking Docu
In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three key challenges: relevance assessment, document ranking, and efficiency. The…
Lessons Learned from Scaling to Multi-Terabyte Datasets
This post is meant to guide you through some of the lessons I’ve learned while working with multi-terabyte datasets. The lessons shared are focused on what someone may face as the size of the…
Recommendation Algorithms You Should Know
In this article, I'll take you through the recommendation algorithms you should know and how to implement them using Python.
https://www.perplexity.ai/search/I-have-a-4u4uJ147QbKox0QIGDIEIA#12
Python's many command-line utilities
Every command-line tool included with Python. These can be run with python -m module_name.
Python venv: How To Create, Activate, Deactivate, And Delete • Python Land
How to create, activate, use, and delete a Python venv on Windows, Linux, and MacOS. We'll also look at how a Python venv works internally.
A Guide to Working with SQLite Databases in Python
Get started with SQLite databases in Python using the built-in sqlite3 module.
Mastering Python: 7 Strategies for Writing Clear, Organized, and Efficient
Optimize Your Python Workflow: Proven Techniques for Crafting Production-Ready Code
10 Python Packages Revolutionizing Data Science Workflow
In the vast world of data science, countless tools are available to help analysts and researchers make sense of data and build powerful machine-learning models. While some tools are widely known and used, others might not be as familiar to many. Here are the ten great Python…
How To Use Pyscript To Create Python Web Apps
With the help of PyScript, you can develop rich frontends with Python for the web and even make use of various Python modules.
Extract text from a PDF
Extracting text from a PDF file using GNU less or Python's pypdf. Why its not entirely clear just what a text extractor should do.
How to Create and Use Requirements.txt in Python
After setting up your Python project, creating a requirements.txt file is essential for simplifying...
SciPy 1.13.0 Release Notes — SciPy v1.14.0.dev Manual
Advanced Data Structures: Sets, Tuples, and Comprehensions
Advanced Data Structures: Sets, Tuples, and Comprehensions In the world of programming,...
The Best Python Cheat Sheet
A dense Python cheat sheet with just what you need. Comprehensive but selective coverage of core Python, with links to detailed documentation and resources. Responsive design with light and dark modes. Download and print PDF. Feedback is welcome.
Essential Formulas for Data Science in Finance
In this article, I'll take you through a guide to some essential formulas for Data Science in finance with implementation using Python.
Modular Open-Sources Mojo: The Programming Language that Turns Python into
In the rapidly evolving world of technology and artificial intelligence, a new development has emerged that promises to impact the Python and AI communities significantly. Modular, a pioneering tech firm, has announced the open-sourcing of Mojo, a programming language designed…
Tiny Python Projects
Particle Swarm Optimization (PSO) from scratch. Simplest explanation in pyt
How to implement PSO
Duck Typing in Python: Writing Flexible and Decoupled Code
In this tutorial, you'll learn about duck typing in Python. It's a typing system based on objects' behaviors rather than on inheritance. By taking advantage of duck typing, you can create flexible and decoupled sets of Python classes that you can use together or individually.
30 Python Libraries that I Often Use
30 Python libraries to solve most AI problems, including GenAI, data videos, synthetization, model evaluation, computer vision and more.
The Power of Geospatial Intelligence and Similarity Analysis for Data Mappi
Strategically enhancing address mapping during data integration using geocoding and string matching
Getting started with Elasticsearch Python
This blog will introduce you to some core concepts and building blocks of working with the official...
The Perfect Way to Smooth Your Noisy Data
Insanely fast and reliable smoothing and interpolation with the Whittaker-Eilers method.
Files · master · euri10 / fastapi_cheatsheet · GitLab
GitLab.com