CImg VS Pandas
Compare CImg VS Pandas 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
CImg
OpenCV
TensorFlow
OpenCL
PyTorch
MLKit
NumPy
Scikit Image
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
PandasNo features have been listed yet.
Based on our record, Pandas seems to be a lot more popular than CImg. While we know about 219 links to Pandas, we've tracked only 1 mention of CImg. 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.
It looks promising. I like the way each algorithm is explained with minimal example and demo images. I'm looking for such a lightweight vision lib to embed simple image manipulation programs on tiny ESP32-CAM boards. OpenCV seems too heavy to integrate on such small devices. So far, I've been able to develop simple image processing programs with CImg[1] (simple filtering, image cropping, adding text). I'll try to... - Source: Hacker News / almost 2 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 24 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 / about 1 month 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 / about 1 month 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 / 4 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 / 9 months ago
OpenCV - OpenCV is the world's biggest computer vision library
NumPy - NumPy is the fundamental package for scientific computing with Python
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
OpenCL - Application and Data, Languages & Frameworks, and Language Extensions
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...