Based on our record, Pandas should be more popular than OrbStack. It has been mentiond 219 times since March 2021. 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.
If you're on Mac worth checking out the commercial https://orbstack.dev/ Reasonable price for better dev efficiency. Free for personal use. - Source: Hacker News / 3 months ago
This is a Docker image, so you just need a Docker runtime on your machine (if you're using MacOS, I recommend OrbStack). - Source: dev.to / 3 months ago
OrbStack: Although it’s a paid tool, OrbStack promises faster, lighter, and simpler container and Linux management compared to Docker Desktop. - Source: dev.to / 4 months ago
How can update like this even happen and I'm still waiting for the post mortem on this. [0] Quite frankly a very basic intern mistake but done by "seniors". In the mean time, I'm using Orbstack. [1] Much faster, lightweight and native. [0] https://news.ycombinator.com/item?id=42695066. - Source: Hacker News / 4 months ago
Simply run docker compose down or use GUIs such as Rancher Desktop, Docker Desktop, or OrbStack to shut down the containers. - Source: dev.to / 5 months ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 25 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
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
NumPy - NumPy is the fundamental package for scientific computing with Python
Portainer - Simple management UI for Docker
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Podman - Simple debugging tool for pods and images
OpenCV - OpenCV is the world's biggest computer vision library