Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Ubuntu Touch
LineageOS
GrapheneOS
Android
CopperheadOS
CalyxOS
postmarketOS
e.foundation /e/
Pandas Ubuntu TouchPandas 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 should be more popular than Ubuntu Touch. 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.
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month 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 2 months 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 / 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 / 10 months ago
I know it's not as common and not as good as android forks, but more secure and better privacy Linux operating systems exist for mobile phones as well like Plasma Mobile and Ubuntu Touch. Source: almost 2 years ago
For now, only information about Ubuntu Touch support is available on our website. We plan to extend that to PostmarketOS and NixOS. But which devices does Ubuntu Touch support? For example those:. Source: almost 2 years ago
She: Finally. I couldn't wait any longer to feel your [Ubuntu Touch](https://ubuntu-touch.io/). I'm feeling both [Fire](https://developer.amazon.com/apps-and-games/devices) and [Harmony](https://www.harmonyos.com/en/)!!! Source: about 2 years ago
You could always look into Ubuntu touch, Https://ubuntu-touch.io/. Source: over 2 years ago
Ubuntu Touch is being actively worked on by a community of developers. They have been making very impressive progress on an 20.04 LTS-based release that we should see early next year, and they have a Telegram channel with updates as well as a monthly update and Q&A session on YouTube, plus blogs, a forum, governance bodies, and basically everything else you'd expect from a very ambitions development effort. Source: over 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
LineageOS - Operating system for smartphones and tablet computers, based on the Android
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
GrapheneOS - GrapheneOS is an open source privacy and security focused mobile OS with Android app compatibility.
OpenCV - OpenCV is the world's biggest computer vision library
Android - Android is an open source mobile operating system initially released by Google in 2008 and has since become of the most widely used operating systems on any platform.