Flox VS Pandas
Compare Flox VS Pandas and see what are their differences
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PandasPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas seems to be a lot more popular than Flox. While we know about 219 links to Pandas, we've tracked only 9 mentions of Flox. 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.
- `flox activate` -> get to work The reason we call these "environments" instead of "developer environments" is that what we provide is a generalization of developer environments, so they're useful in more than just local development contexts. For example, you can use Flox to replace Homebrew by creating a "default" environment in your home directory [2]. You can also bundle an environment up into a container [3]... - Source: Hacker News / 12 days ago
Is the objective to get inside a container to do dev stuff? Reminds me of https://www.jetify.com/devbox and https://flox.dev/. - Source: Hacker News / 2 months ago
I think it's a bad addition since it pushes people towards a worse solution to a common problem. Using "go tool" forces you to have a bunch of dependencies in your go.mod that can conflict with your software's real dependency requirements, when there's zero reason those matter. You shouldn't have to care if one of your developer tools depends on a different version of a library than you. It makes it so the tools... - Source: Hacker News / 4 months ago
I think that's a bit reductive, but I get the intent. A lot of people see systemic problems in their development and turn to tools to reduce the cognitive load, busywork, or just otherwise automate a solution. For example "we always argue over formatting" -> use an automated formatter. That makes total sense as long as managing/interacting with the tool is less work, not just different work. With Nix I still think... - Source: Hacker News / 5 months ago
Try flox [0]. It's an imperative frontend for Nix that I've been using. I don't know how to use nix-shell/flakes or whatever it is they do now, but flox makes it easy to just install stuff. [0]: https://flox.dev/. - Source: Hacker News / 5 months ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 28 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 2 months 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
Podman - Simple debugging tool for pods and images
NumPy - NumPy is the fundamental package for scientific computing with Python
devenv - Fast, Declarative, Reproducible, and Composable dev envs
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
DevBox - Everyday utilities for the everyday developer
OpenCV - OpenCV is the world's biggest computer vision library