python (all)
tags: excel, python, csv
tags: mcp, python
Agent Framework / shim to use Pydantic with LLMs
tags: python, llms
In this article, we explore 10 of the Python libraries every developer should know in 2025.
tags: linux, python, packages
I am sharing how I packaged my python application into an executable .deb package in this tutorial.
tags: python
Check out this guide to learn how you can use asyncio for asynchronous programming in Python.
tags: llms, tokens, python
A Step-by-Step Guide to Setting Up a Custom BPE Tokenizer with Tiktoken for Advanced NLP Applications in Python
tags: python, machine-learning
In this article, I will introduce you to 10 little-known Python libraries every data scientist should know.
tags: python, chip-design
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 applications, mainly because they are energy-efficient and bio-inspired. However, available methodologies lack automation and are not very accessible. Consequently, the design process becomes complex, time-consuming, and requires specialized knowledge. It is through overcoming these challenges that one can unlock the full potential of TNNs for efficient and scalable processing of sensory signals. The current approaches to TNN development are fragmented workflows, as
tags: python, flask
tags: dask, python
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.
tags: python, machine-learning
Popular MLOps Python tools that will make machine learning model deployment a piece of cake.
tags: python, github
Photo by Luke Chesser on Unsplash
tags: python
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.
tags: python, cpython
All you need to know about the latest Python release including Global Interpreter Lock and Just-in-Time compilation.
tags: python
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 used re-ranking approaches.
tags: gaussian, python
Understanding and coding Gaussian Splatting from a Python Engineer’s perspective
tags: gaussian, python
Understanding and coding how Gaussian’s are used within 3D Gaussian Splatting
tags: books, graphs, python
Modern Graph Theory Algorithms with Python, published by Packt - PacktPublishing/Modern-Graph-Theory-Algorithms-with-Python
tags: algorithms-math, python
Understanding what genetic algorithms are and how they can be implemented in Python.
tags: python, search
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 recently introduced Python library that implements the BM25 algorithm, BM25S addresses the challenge of efficient and effective information retrieval, particularly the need for ranking documents in response to user queries. The goal is to enhance the speed and memory efficiency of the BM25 algorithm, a standard method for ranking documents by their relevance to a query. Current methods for implementing
tags: jekyll, python, yaml
tags: python
Every command-line tool included with Python. These can be run with python -m module_name.
tags: python, venv
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.
tags: python, sqlite
Get started with SQLite databases in Python using the built-in sqlite3 module.
tags: python
Optimize Your Python Workflow: Proven Techniques for Crafting Production-Ready Code
tags: python
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 packages that can significantly enhance your workflow. 1. LazyPredict: LazyPredict is all about efficiency. It allows the training, testing, and evaluation of multiple machine-learning models simultaneously with just a few lines of code. Whether one is working on regression or classification tasks, LazyPredict streamlines the process and helps find the best model for
tags: pdfs, python
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.
tags: pip, python
After setting up your Python project, creating a requirements.txt file is essential for simplifying...
tags: data-structures, python
Advanced Data Structures: Sets, Tuples, and Comprehensions In the world of programming,...
tags: python
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.
tags: python, programming
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 to enhance Python's capabilities, allowing developers to write code that scales 'all the way down to metal code.' This move is set to transform Python programming, offering unprecedented speed and efficiency. Modular has long championed open-source principles, and the release of Mojo under the Apache 2 license represents a significant step towards fulfilling its vision. Since its initial release in
tags: python
30 Python libraries to solve most AI problems, including GenAI, data videos, synthetization, model evaluation, computer vision and more.
tags: elasticsearch, python
This blog will introduce you to some core concepts and building blocks of working with the official...
tags: fastapi, python
GitLab.com
tags: llms, pdfs, python
LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs).
tags: deep-learning, numpy, python
Understanding how convolutional neural networks (CNNs) operate is essential in deep learning. However, implementing these networks, especially convolutions and gradient calculations, can be challenging. Many popular frameworks like TensorFlow and PyTorch exist, but their complex codebases make it difficult for newcomers to grasp the inner workings. Meet neograd, a newly released deep learning framework developed from scratch using Python and NumPy. This framework aims to simplify the understanding of core concepts in deep learning, such as automatic differentiation, by providing a more intuitive and readable codebase. It addresses the complexity barrier often associated with existing frameworks, making it easier for
tags: python, scikit-learn
Python library for portfolio optimization built on top of scikit-learn - skfolio/skfolio
tags: python
FastAPI framework, high performance, easy to learn, fast to code, ready for production
tags: python, venv, virtualization
Python has been my go-to programming language since I started coding. Python, as a programming...
tags: python
Let's continue our exploration of Python's magic methods in this second part of the series. This part...
tags: python
Source code: Lib/venv/ The venv module supports creating lightweight “virtual environments”, each with their own independent set of Python packages installed in their site directories. A virtual en...
tags: flask, python
Introduction In the vast landscape of web development, Flask stands out as a lightweight yet...
tags: algorithms-math, dsp, fourier, github, python
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook. - lukepolson/youtube_channel
tags: python
In less than 100 pages, the book covers all important topics about discrete chaotic dynamical systems and related time series and stochastic processes, ranging from introductory to advanced, in one and two dimensions. State-of-the art methods and new results are presented in simple English. Yet, some mathematical proofs appear for the first time in this
tags: graphs, python
An increasingly popular method for representing data in a graph structure is the usage of knowledge graphs (KGs). A KG is a group of triples (s, p, o), where s (subject) and o (object) are two graph nodes, and p is a predicate that describes the type of connection that exists between them. KGs are often supported by a schema (such as an ontology) that outlines the key ideas and relationships in a field of study and the constraints that govern how these ideas and relationships can interact. Many of the activities for which KGs are employed have a small
tags: dask, numpy, pandas, python, sympy
3 Python libraries for scientific computation you should know as a data professional.
tags: python
And why you should learn how to use them to filter Python sequences more elegantly.
tags: excel, python
The realm of data analysis has long struggled with seamlessly integrating the capabilities of Python—a powerful programming language widely used for analytics—with the familiar interface and functionalities of Microsoft Excel. This challenge has hindered efficient decision-making and data processing for professionals who rely on both tools for their tasks. The need for a cohesive solution that bridges this gap is evident. Existing attempts to merge Python and Excel have often been cumbersome and involved complex setups. Analysts resorted to using external scripts, third-party tools, or manual data transfers between the two environments. These methods introduced inefficiencies, raised security concerns, and
tags: python
Introduction: Python, a popular programming language known for its simplicity and versatility,...
tags: analytics, prodmgmt, python
8 stories · A guide to building an end-to-end marketing mix optimization solution for your organization.
tags: python
Filtering sequences, like lists, is a common task for developers. However, the code can become...
tags: linux, pip, python
Cleaning Pip cache helps you in troubleshooting and getting fresh Python packages.
tags: python
You keep using that word. I don’t think it means what you think it means.
tags: python
When we see the documentation of any function that contains *args and **kwargs, have you ever...
tags: music, python, spotify, youtube
I developed the script to convert the Spotify playlist to YouTube playlist. I am here to share how I...
tags: python
tags: python
Introduction and Chapter One
tags: machine-learning, programming, pycaret, python
Exploring the Latest Enhancements and Features of PyCaret 3.0
tags: python
Introduction If you're a Python developer looking to take your code to the next level,...
tags: python, visualization
DISCLAIMER: This blog post was written by a human with the help of AI Hypotrochoids and epitrochoids...
tags: jupyter, programming, python, visualization, voila
Voilà turns Jupyter notebooks into standalone web applications
tags: flask, pytest, python
Welcome to this tutorial on how to test Flask applications with Pytest. Flask is a popular web...
tags: python, yaml
YAML is easy to write for humans, and read for computers. Learn how to open, parse, and read YAML with Python. With lots of example code!
tags: python, pytorch
We are excited to announce the release of PyTorch® 2.0 which we highlighted during the PyTorch Conference on 12/2/22! PyTorch 2.0 offers the same eager-mode development and user experience, while fundamentally changing and supercharging how PyTorch operates at compiler level under the hood with faster performance and support for Dynamic Shapes and Distributed.
tags: python
I reviewed 1,000+ Python libraries and discovered these hidden gems I never knew even existed.
tags: python
While multiprocessing allows Python to scale to multiple CPUs, it has some performance overhead compared to threading.
tags: python
Learn about Python generators and write memory-efficient and Pythonic code.
tags: programming, python
tags: pandas, programming, python
Pandas receives over 3M downloads per day. But 99% of its users are not using it to its full potential.
tags: jupyter, programming, python
We are pleased to announce a major update to JupyterLab Desktop which adds many new features with main focus on the user experience…
tags: pocket, python
Export archived article data from Pocket · GitHub
tags: machine-learning, python, scikit-learn
There are various challenges in MLOps and model sharing, including, security and reproducibility. To tackle these for scikit-learn models, we've developed a new open-source library: skops. In this article, I will walk you through how it works and how to use it with an end-to-end example.
tags: books, python
translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~ - hiddenJuliet/pythondocument
tags: hyperparameters, machine-learning, python
Become familiar with some of the most popular Python libraries available for hyperparameter optimization.
tags: packages, python
The Python Package Index (PyPI) is a repository of software for the Python programming language.
tags: geometry, machine-learning, programming, python
A cross-framework package for kernels and Gaussian processes on manifolds, graphs, and meshes
tags: feature-engineering, machine-learning, python
Python Feature Engineering Cookbook Second Edition, published by Packt - PacktPublishing/Python-Feature-Engineering-Cookbook-Second-Edition
tags: programming, python, youtube
The post highlights three useful applications of using python to automate simple desktop tasks. Stay tuned till the end of the post to find the reference for a bonus resource.
tags: nlp, python, scikit-learn
The post explains the significance of CountVectorizer and demonstrates its implementation with Python code.
tags: deep-learning, python, search
Pure python implementation of product quantization for nearest neighbor search - matsui528/nanopq
tags: analytics, bayes, forecasting-predictions, machine-learning, python
Learn how to build MMMs for different countries the right way
tags: jupyter, python
tags: python
I subscribed to the Real Python mailing list two years ago, and I learned a lot of tips and tricks...
tags: python
Python has become the most popular language in many rapidly evolving sectors, such as deep learning and data sciences. Yet its easy readability comes at the cost of performance. Of course, we all complain about program performance from time to time, and Python should certainly not take all the blame. Still, it's fair to say that Python's nature as an interpreted language does not help, especially in computation-intensive scenarios (e.g., when there are multiple nested for loops).
tags: machine-learning, programming, python, visualization
tags: python
Some off-the-beaten uses of Python learned from reading libraries.
tags: python
Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.
tags: graphs, programming, python, visualization
DOT rendering programs and utilities.
tags: javascript, programming, python, ruby
Master programming by recreating your favorite technologies from scratch. - codecrafters-io/build-your-own-x
tags: books, graphs, python, _r_
A technical manual of graphs, networks and their applications in the people and social sciences
tags: crypto, python
I'm sick of complex blogging solutions, so markdown files in a git repo it is - francisrstokes/githublog
tags: machine-learning, python
The BAIR Blog
tags: browsers, programming, python, web-crawlers
🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more... - ArchiveBox/ArchiveBox
tags: pandas, pocket, python
I’ve been using Pocket for many years to collate all the articles, blog posts, recipes, etcI’ve found online. I decided it would be…
tags: python
Python has a secret superpower with a similarly stupendous name: Magic Methods. These methods can...
tags: programming, python
Part 6: Multiple Measures of Performance
tags: command-line, pip, python
Whenever you are installing python packages, you should always use a virtual environment. pip makes...
tags: ocr, programming, python
Introduction Hello! In this quick tutorial I will show how to create a simple program...
tags: design-patterns, python
A collection of design patterns/idioms in Python.
tags: geography, python
Maps and geography have been a long passion of mine, especially in my International Relations background. A side goal of mine as I grow as…
tags: decorators, machine-learning, python
I show toy implementations of Python decorator patterns that may be useful for Data Scientists.
tags: python
Let’s compare Python 3.10 vs. Python 3.11 in an extensive benchmark test. Spoiler alert: Python 3.11 is up to 64% faster!
tags: clustering, machine-learning, python
Apply Louvain’s Algorithm in Python for Community Detection
tags: python
In this article we will focus on a complete walk through of a Python tuple data structure
tags: python
I was recently reading Django’s Source Code, and I came across the @wraps decorator, which led me to...
tags: github-awesome, glossaries, python
>>>, The default Python prompt of the interactive shell. Often seen for code examples which can be executed interactively in the interpreter.,,..., Can refer to:- The default Python prompt of the i...
tags: github-awesome, python
An opinionated list of awesome Python frameworks, libraries, software and resources. - vinta/awesome-python
tags: programming, python
A test is code that executes code. When you start developing a new feature for your Python project,...
tags: ocr, pdfs, python
This is a cross-post from my blog Arcadian.Cloud, go there to see the original post. I have some...
tags: python
Understanding Attributes in Python Python is a very dynamic language by nature. Variables...
tags: algorithms-math, graphs, python
tags: machine-learning, python, scikit-learn
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron) - bjpcjp/scikit-and-tensorflow-workbooks
tags: machine-learning, prophet, python
Prophet (FB time series prediction package) docs to Python code. - bjpcjp/fb-prophet
tags: python, visualization
Based on scatterplot by Myriam Barnes. A simple to viz categories in a scatter plot. - bjpcjp/category-scatterplot
tags: postgres, python
This PostgreSQL Python section shows how to work with PostgreSQL from Python programming language using the psycopg2 database driver.
tags: python, seaborn
Sourced from O'Reilly ebook of the same name.
tags: pycaret, python
Introductin to PyCaret.
tags: machine-learning, python, svm
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron) - bjpcjp/scikit-and-tensorflow-workbooks
tags: numpy, python
Sourced from O'Reilly ebook of the same name.
tags: numba, python
tags: pandas, python
Sourced from O'Reilly ebook of the same name.
tags: finance, python
Build in minutes. Deploy in seconds. Quant workflow reimagined. Built by developers for developers 🚀
tags: finance, python, risk
Metrics surround us. Whether you're building the next big thing and need to measure customer churn,...
tags: excel, python
tags: jupyter, python
IPython is a powerful Python REPL that gives you tab completion, better tracebacks, multiline editing, and several useful features on top…
tags: pandas, python
various tips and tricks.
tags: books, python
tags: machine-learning, python
Here is my take on this cool Python library and why you should give it a try
tags: dimentionality-reduction, machine-learning, python
Dimensionality reduction is a vital tool for data scientists across industries. Here is a guide to getting started with it.
tags: machine-learning, programming, python
In this first post in a series on how to build a complete machine learning product from scratch, I describe how to setup your project and tooling.
tags: programming, python
Source code: Lib/functools.py The functools module is for higher-order functions: functions that act on or return other functions. In general, any callable object can be treated as a function for t...
tags: python, streamlit
Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit Key Features Learn how to showcase machine learning models in a Streamlit application effectively and efficiently … - Selection from Getting Started with Streamlit for Data Science [Book]
tags: machine-learning, pycaret, python
Low-code Machine Learning with a Powerful Python Library
tags: algorithms-math, github, python
All Algorithms implemented in Python.
tags: heroku, python, streamlit
Hello everyone, This is a step by step tutorial about how to deploy your Streamlit app to Heroku. ...
tags: dask, python
This article is the second article of an ongoing series on using Dask in practice. Each article in this series will be simple enough for beginners, but provide useful tips for real work. The first article in the series is about using LocalCluster.
tags: programming, python, regexes, web-scraping
tags: github, python
Just a place to store cheatsheets.
tags: command-line, pandas, programming, python
Quick Python solutions to help your data science cycle.
tags: machine-learning, python, scikit-learn
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.
tags: biology, deep-learning, programming, python, visualization
tags: python
There are lots of great Python libraries, but most of them don't come close to what built-in itertools and also
tags: decorators, python
Analyze, test, and re-use your code with little more than an @ symbol
tags: python, storytelling
Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - facebookresearch/fairseq
tags: algorithms-math, glossaries, python
All Algorithms implemented in Python.
tags: linear-algebra, python, pytorch
Linear algebra is essential to deep learning and scientific computing, and it’s always been a core part of PyTorch. PyTorch 1.9 extends PyTorch’s support for linear algebra operations with the torch.linalg module. This module, documented here, has 26 operators, including faster and easier to use versions of older PyTorch operators, every function from NumPy’s linear algebra module extended with accelerator and autograd support, and a few operators that are completely new. This makes the torch.linalg immediately familiar to NumPy users and an exciting update to PyTorch’s linear algebra support.
tags: boosting, gaussian, machine-learning, python
Combining tree-boosting with Gaussian process and mixed effects models - fabsig/GPBoost
tags: bitcoin, python
Musings of a Computer Scientist.
tags: deep-learning, python, pytorch
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
tags: python
In this post, we will understand how python functional programming can be used efficiently to achieve tasks artistically as it is rightly said programming is indeed an art. We prefer using higher-order functions than simply looping because internally these are implemented in C making them more effic
tags: programming, python
A deep dive into Python virtual environments, pip and avoiding entangled dependencies
tags: pandas, python
Learn how to speed up your Pandas workflow using the PyPolars library.
tags: opencv, python
In this tutorial, I will show you how to give a cartoon-effect to an image in Python with OpenCV. Op...
tags: python
In this post, I show you a real-life example of how to create, handle and log exceptions effectively in Python.
tags: deep-learning, python, pytorch, video
tags: matplotlib, python, visualization
Publication-quality data representation library based on Matplotlib. - alopezrivera/mpl_plotter
tags: pandas, python, vaex
If you are working with big data, especially on your local machine, then learning the basics of Vaex, a Python library that enables the fast processing of large datasets, will provide you with a productive alternative to Pandas.
tags: deep-learning, machine-vision, programming, python
Computer vision is the field of computer science that focuses on replicating parts of the complexity...
tags: bash, linux, python
Commandline one liners that makes your workflow more productive
tags: machine-learning, prophet, python, time-series
Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.
tags: python, streamlit
Sometimes you make a data science , machine learning or computer vision projects but suddenly you stu...
tags: python, sql, sqlite
To explore SQLite along with Python, which is a user-friendly and no-nonsense language, we are going...
tags: machine-learning, pycaret, python, time-series
PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only. See how to use PyCaret's Regression Module for Time Series Forecasting.
tags: music, python
A basic introduction to Western music theory using the Python programming language to derive scales, chords, and modes in every key.
tags: gpus, nvidia, python
This post is the seventh installment of the series of articles on the RAPIDS ecosystem. The series explores and discusses various aspects of RAPIDS that allow its users solve ETL (Extract, Transform…
tags: keywords-ppc-seo, python, search
Full-text search is everywhere. From finding a book on Scribd, a movie on Netflix, toilet paper on Amazon, or anything else on the web through Google (like [how to do your job as a software engineer](https://localghost.dev/2019/09/everything-i-googled-in-a-week-as-a-professional-software-engineer/)), you've searched vast amounts of unstructured data multiple times today. What's even more amazing, is that you've even though you searched millions (or [billions](https://www.worldwidewebsize.com/)) of records, you got a response in milliseconds. In this post, we are going to build a basic full-text search engine that can search across millions of documents and rank them according to their relevance to the query in milliseconds, in less than 150 lines of code!
tags: python
Photo by Divide By Zero on Unsplash There are a ton of awesome packages available in the Python ecos...
tags: machine-learning, optimization, python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces. - SimonBlanke/Gradient-Free-Optimizers
tags: analytics, dask, pandas, python, vaex
Pandas doesn’t handle well Big Data. These two libraries do! Which one is better? Faster?
tags: machine-learning, programming, pycaret, python
tags: machine-learning, programming, pycaret, python
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tags: machine-learning, python, survival-analysis
Concluding this three-part series covering a step-by-step review of statistical survival analysis, we look at a detailed example implementing the Kaplan-Meier fitter based on different groups, a Log-Rank test, and Cox Regression, all with examples and shared code.
tags: a-b, analytics, python
A/B Testing — A complete guide to statistical testing - bjpcjp/AB_Testing
tags: algorithms-math, python
The string matching problem also known as “the needle in a haystack” is one of the classics. This simple problem has a lot of application…
tags: devops, python
Source code: Lib/shutil.py The shutil module offers a number of high-level operations on files and collections of files. In particular, functions are provided which support file copying and removal...
tags: azure, devops, flask, python
Get started with Azure App Service by deploying your first Python app to Azure App Service.
tags: python, supply-chain
Design a simulation model to estimate the impact of several Single Picker Routing Problem strategies in your Picking Productivity
tags: python
This article was written by Louis Tiao. In this series of notebooks, we demonstrate some useful patterns and recipes for visualizing animating optimization algorithms using Matplotlib. We shall restrict our attention to 3-dimensional problems for right now (i.e. optimizing over only 2 parameters), though what follows can be extended to higher dimensions… Read More »Visualizing and Animating Optimization Algorithms with Matplotlib
tags: flask, linux, python
In this article we'll discuss how to install Flask on Ubuntu 20.04 inside a Python virtual environment.
tags: cpp, programming, python, ruby
Find static code analysis tools and linters for Java, JavaScript, PHP, Python, Ruby, C/C++, C#, Go, Swift, and more. All tools and linters are peer-reviewed by fellow developers to select the best tools available. Avoid bugs in production, outages on weekends, and angry customers.
tags: python, venv
A nice thing about Python is that there is tons of modules available out there. Not all those modules are readily available for your distro and even if there were, chances are that a newer release with new features is already out there.
tags: python
Asyncio helps you to write asynchronous functions using python making your application a lot faster with better user experience with its easy to use syntax.
tags: geography, python
Geometric Algebra for Python.
tags: python
In a previous post, I created a guide for JavaScript higher-order functions to make dealing with arra...
tags: python
Let’s look at the performance of our Python programs and see how to make them up to 30% faster!
tags: python
How to make CPython faster.
tags: movies-television, python
A look into how Python is used to bring your favorite movies to the big screen.
tags: python
As a Data Scientist, you are already spending most of your time getting your data ready for prime time. Follow these real-world scenarios to learn how to leverage the advanced techniques in Python of list comprehension, Lambda expressions, and the Map function to get the job done faster.
tags: debugging, python
Even if you write clear and readable code, even if you cover your code with tests, even if you are very experienced developer, weird bugs will inevitab...
tags: machine-learning, programming, python
Check out these 5 cool Python libraries that the author has come across during an NLP project, and which have made their life easier.
tags: feature-engineering, machine-learning, python
Recursive Feature Elimination, or RFE for short, is a popular feature selection algorithm. RFE is popular because it is easy to configure and use and because it is effective at selecting those features (columns) in a training dataset that are more or most relevant in predicting the target variable. There are two important configuration options when using RFE: the choice…
tags: concurrency, python
This is a quick guide to Python’s asyncio module and is based on Python version 3.8. Introduction Why focus on asyncio? A quick asyncio summary A quick concurrent.futures summary Green Threads? Event Loop Awaitables Coroutines Tasks Futures Running an asyncio program Running Async Code in the REPL Use another Event Loop Concurrent Functions Deprecated Functions Examples gather wait wait_for as_completed create_task Callbacks Pools Executors asyncio.Future vs concurrent.futures.Future asyncio.wrap_future Introduction So let’s start by addressing the elephant in the room: there are many modules provided by the Python standard library for handling asynchronous/concurrent/multiprocess code…
tags: python
A guide to modern Python tooling with a focus on simplicity and minimalism.
tags: pandas, python
This post will address the issues that can arise when Pandas slicing is used improperly. If you see the warning that reads "A value is trying to be set on a copy of a slice from a DataFrame", this post is for you.
tags: dask, python
The Pandas library for Python is a game-changer for data preparation. But, when the data gets big, really big, then your computer needs more help to efficiency handle all that data. Learn more about how to use Dask and follow a demo to scale up your Pandas to work with…
tags: pandas, python
A code-along guide for Pandas’ advanced functionalities.
tags: category-theory, python
Parts 1 and 2 are found here and here
tags: geography, python
The ultimate guide on open source GIS tools for spatial analysis. Find the tools you need to support your next spatial data project!
tags: postgres, python
In this tutorial, you will learn how to connect to the PostgreSQL database server from Python using the psycopg2 package.
tags: python, regexes
"The Ultimate Guide to using the Python regex module" https://lttr.ai/Nt5c #regex #Python #datascience #nlp
tags: python
Learn about the advanced features the requests library hides under the hood. DRY base URLs, hooks, retry on failure, default timeouts and mocking.
tags: ocr, python, vision
Convert images to a string with Google Tesseract and then into a static HTML site using python
tags: python
Try this string processing primer cheatsheet to gain an understanding of using Python to manipulate and process strings at a basic level.
tags: python
Python haters always say, that one of reasons they don't want to use it, is that it's slow. Well, whether specific program - regardle...
tags: python
Check out this collection of 10 Python snippets that can be taken as a reference for your daily work.
tags: python, scipy
Nature Methods - This Perspective describes the development and capabilities of SciPy 1.0, an open source scientific computing library for the Python programming language.
tags: html, python, web-scraping
A tutorial about a HTML parser for Python 3. Learn about the basic of a library for easily parsing web pages and extracting useful information.
tags: ocr, python
Dive deep into OCR with Tesseract, including Pytesseract integration, training with custom data, limitations, and comparisons with enterprise solutions.
tags: python
Brush up on your Python basics with this post on creating, using, and manipulating tuples.
tags: pandas, python
While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.
tags: python, semiconductor-memory
You can process data that doesn’t fit in memory by using four basic techniques: spending money, compression, chunking, and indexing.
tags: python, scikit-learn
In this post, learn how to extend Scikit-learn code to make your experiments easier to maintain and reproduce.
tags: pandas, python
The pandas library offers core functionality when preparing your data using Python. But, many don't go beyond the basics, so learn about these lesser-known advanced methods that will make handling your data easier and cleaner.
tags: cpus, python
On the Linux command line it is fairly easy to use the perf command to measure number of floating point operations (or other performance metrics). (See for example this old blog post ) with this approach it is not easy to get a fine grained view of how different stages of processings within a single process. In this short note I describe how the python-papi package can be used to measure the FLOP requirements of any section of a Python program.
tags: python
Editor, Raymond Hettinger,. This article explains the new features in Python 3.8, compared to 3.7. Python 3.8 was released on October 14, 2019. For full details, see the changelog. Summary – Releas...
tags: json, python
Introduction In the last year or two I have worked on and off on making PyPy's JSON faster, particularly when parsing large JSON files. I...
tags: python
Learn how to simplify your Python code using partial functions to create more flexible, reusable, and concise function calls
tags: python, visualization
tags: pyspark, python
This PySpark cheat sheet with code samples covers the basics like initializing Spark in Python, loading data, sorting, and repartitioning.
tags: machine-learning, python, time-series
Using ARIMA model, you can forecast a time series using the series past values. In this post, we build an optimal ARIMA model from scratch and extend it to Seasonal ARIMA (SARIMA) and SARIMAX models. You will also see how to build autoarima models in python
tags: python
By Pythonistas at Netflix, coordinated by Amjith Ramanujam and edited by Ellen Livengood
tags: books, machine-learning, python
tags: pandas, python
This post is a part of my series on Python Shorts. Some tips on how to use python. This post is about using the computing power we have at hand and applying it to the data structure we use most.
tags: cpp, python
Did you know you can write functions in C and then call them directly from Python? Isn't that cool? L...
tags: cpp, cython, python
tags: machine-learning, python
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques - yzhao062/pyod
tags: python
This article lists some curated tips for working with Python and Jupyter Notebooks, covering topics such as easily profiling data, formatting code and output, debugging, and more. Hopefully you can find something useful within.
tags: python
tags: python
tags: flask, python
In recent years REST (REpresentational State Transfer) has emerged as the standard architectural design for web services and web APIs.In this article I'm going to show you how easy it is to create a…
tags: javascript, python
Something a lot of beginners struggle with is the concept of passing data between different programmi...
tags: python, visualization
Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming data...
tags: python
A guided walkthrough of how to use the Prophet python library to solve a common forecasting problem.
tags: dash, programming, python, webdev
Create Reactive Web Apps in pure Python
tags: prob-stats, python
Quick-reference guide to the 17 statistical hypothesis tests that you need in applied machine learning, with sample code in Python. Although there are hundreds of statistical hypothesis tests that you could use, there is only a small subset that you may need to use in a machine learning project. In this post, you will discover a cheat sheet for the…
tags: python
Profiling Python applications using Pyflame
tags: python
Here are the top 15 Python libraries across Data Science, Data Visualization. Deep Learning, and Machine Learning.
tags: python, visualization
Anaconda is the birthplace of Python data science. We are a movement of data scientists, data-driven enterprises, and open source communities.
tags: python
Simplified python article discovery & extraction.
tags: dimentionality-reduction, python
Learn how these 12 dimensionality reduction techniques can help you extract valuable patterns and insights from high-dimensional datasets.
tags: python
By Peter Gleeson Python is one of the world’s most popular, in-demand programming languages. This is for many reasons: it’s easy to learn it’s super versatile it has a huge range of modules and libraries I use Python daily as an integral part of my...
tags: nlp, python, spacy
A context-preserving word cloud generator.
tags: bayes, machine-learning, python
Recently I’ve started using PyMC3 for Bayesian modelling, and it’s an amazing piece of software! The API only exposes as much of heavy machinery of MCMC as you need — by which I mean, just the pm.sample() method (a.k.a., as Thomas Wiecki puts it, the Magic Inference Button™). This really frees up your mind to think about your data and model, which is really the heart and soul of data science! That being said however, I quickly realized that the water gets very deep very fast: I explored my data set, specified a hierarchical model that made sense to me, hit the Magic Inference Button™, and… uh, what now? I blinked at the angry red warnings the sampler spat out.
tags: machine-learning, python
Using mlxtend to perform market basket analysis on online retail data set.
tags: finance, python
Originally published at https://www.datacamp.com/community/tutorials/finance-python-trading
tags: prob-stats, python
During my years as a Consultant Data Scientist I have received many requests from my clients to provide frequency distribution
tags: algorithms-math, python
Last time we saw a geometric version of the algorithm to add points on elliptic curves. We went quite deep into the formal setting for it (projective space $ \mathbb{P}^2$), and we spent a lot of time talking about the right way to define the “zero” object in our elliptic curve so that our issues with vertical lines would disappear. With that understanding in mind we now finally turn to code, and write classes for curves and points and implement the addition algorithm.
tags: decorators, python
Python decorators are a useful but flawed language feature. Intended to make source code easier to write, and a little more readable, they neglect to address another use case: that of the programmer who will be calling the decorated code. If you’re a Python programmer, the following post will show you why decorators exist, and how to compensate for their limitations. And even if you’re not a Python a programmer, I hope to demonstrate the importance of keeping in mind all of the different audiences for the code you write.
tags: machine-learning, python
An easy-to-use library for recommender systems.
tags: cohorts, python
Discover 100 collaborative articles on domains such as Marketing, Public Administration, and Healthcare. Our expertly curated collection combines AI-generated content with insights and advice from industry experts, providing you with unique perspectives and up-to-date information on many skills and their applications.
tags: pandas, python
tags: gensim, nlp, python
Topic Modeling is a technique to understand and extract the hidden topics from large volumes of text. Latent Dirichlet Allocation(LDA) is an algorithm for topic modeling, which has excellent implementations in the Python's Gensim package. This tutorial tackles the problem of finding the optimal number of topics.
tags: python, visualization
tags: python
Generators make it easy to create iterations in Python and in return write less code. This tutorial will introduce you to Python generators, their benefits, and how they work. Basics A generator...
tags: heroku, python
A step-by-step guide for deploying your first Python app and mastering the basics of Heroku
tags: algorithms-math, python
Minimal examples of data structures and algorithms in Python - keon/algorithms
tags: distributions, prob-stats, python
Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively.
tags: cuda, numba, python
Numba is an open-source Python compiler from Anaconda that can compile Python code for high-performance execution on CUDA-capable GPUs or multicore CPUs.
tags: python
In this tutorial, I will be focusing on arguments (*args) and keyword arguments (*kwargs) in Python. I will teach you what args and kwargs are and, most importantly, how to use them—that is...
tags: python
A tutorial on organizing python code into reusable units, building packages, and using conda. - vestuto/reusable-python
tags: python, visualization
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
tags: python, webdev
Yes, really, nothing but Python! Anvil has a drag-and-drop editor, Python in the browser and on the server, and one-click deployment.
tags: benchmarks, python
tags: fastapi, python
FastApi is a contemporary web framework designed for creating RESTful APIs with Python 3.8 or later.
tags: llms, python, graphs
The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate context becomes increasingly difficult. Current systems often struggle to handle the evolving nature of relationships and facts, leading to incomplete or irrelevant results when retrieving information. This can affect the effectiveness of AI agents, especially when dealing with user memories and context in real-time applications. Some existing solutions have attempted to address this problem. One common approach is using a Retrieval-Augmented Generation (RAG) pipeline, which involves storing extracted facts and using techniques
tags: gradio, python, machine-learning
Documentation, tutorials and guides for the Gradio ecosystem..
tags: python, pdf
PyMuPDF is a high-performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
tags: pdfs, python
Extracting structured data from unstructured sources like PDFs, webpages, and e-books is a significant challenge. Unstructured data is common in many fields, and manually extracting relevant details can be time-consuming, prone to errors, and inefficient, especially when dealing with large amounts of data. As unstructured data continues to grow exponentially, traditional manual extraction methods have become impractical and error-prone. The complexity of unstructured data in various industries that rely on structured data for analysis, research, and content creation. Current methods for extracting data from unstructured sources, including regular expressions and rule-based systems, are often limited by their inability to maintain