Pandas VS Jimp
Compare Pandas VS Jimp and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
htm.java
Exploratory
WEKA
Jimp
OpenCV
Pixolution
NumPy
Google Vision AI
GPUImage
Kairos
VIGRA
Pandas JimpNo features have been listed yet.
Based on our record, Pandas seems to be a lot more popular than Jimp. While we know about 219 links to Pandas, we've tracked only 6 mentions of Jimp. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Libraries for data science and deep learning that are always changing. - Source: dev.to / 2 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 18 days ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 22 days ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 8 months ago
QR codes are a convenient and efficient way to store and share information. Reading and writing QR codes can easily be done with Node.js, the popular JavaScript runtime environment. In this article, we will go over the steps for reading and writing QR codes in Node using three popular libraries: qrcode-reader and jimp for reading QR codes, and qrcode for generating QR codes. - Source: dev.to / about 2 years ago
If you're more into Javascript, jimp works, too. Source: about 3 years ago
I've used Jimp before - probably other libs like it :). Source: about 3 years ago
I’m not sure how to best answer but I have used jimp recently, and liked it. Source: over 3 years ago
As a seasoned sharp user, discovered jimp . Had to convert an image to BMP once and sharp doesn't support that format. Source: over 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
OpenCV - OpenCV is the world's biggest computer vision library
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Pixolution - Pixolution is an AI powered visual search engine, with custom training for specific image collections.
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.