image2ascii
Pandas
image2ascii | Pandas | |
---|---|---|
4 | 399 | |
821 | 42,104 | |
- | 0.9% | |
0.0 | 10.0 | |
over 1 year ago | 5 days ago | |
Go | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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image2ascii
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What are some ideas/apps that should be brought to the terminal?
Needs imagemagick to break down the gif into png images, and https://github.com/qeesung/image2ascii
- There is framework for everything.
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Idea: Dynamically generating character heraldry.
Use something like armoria with either img2ascii or libcaca
- ASCII photo, zoom in to see characters.
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Pandas reset_index(): How To Reset Indexes in Pandas
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method.
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
What are some alternatives?
rez - Image resizing in pure Go and SIMD
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
Angular 2 Image Gallery - Image Gallery built with Angular 17+, node.js and GraphicsMagick
tensorflow - An Open Source Machine Learning Framework for Everyone
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
stegify - 🔍 Go tool for LSB steganography, capable of hiding any file within an image.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
picfit - An image resizing server written in Go
Keras - Deep Learning for humans
cameron - An avatar generator for Go.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration