Pandas 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.
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It doesn’t directly address your concern but you might like https://loshadki.app/openin/. Source: about 2 years ago
Rectangle Pro can do that, if you pair it with advanced bettertouchtool triggers. But I don't think your solution is optimal, it'd be much easier to create a reddit.com webapp with e.g. fluid.app, make so every reddit link is handled via the reddit webapp using e.g. openin.app, and just store its size and location in app window presets which Rectangle or BTT can do easily. Source: over 2 years ago
Another way to do it is to use a “browser chooser” app. This is an app that you set as your default browser. It’s not a browser itself, but instead it sends your links to your preferred browser. There are a bunch of these apps. I use Velja. OpenIn is another good one. Source: almost 3 years ago
Other great apps I always use is Rocket, Rectangle, PastePal, NextDNS (more like a service than app), OpenIn, Overkill. Source: almost 3 years ago
I use https://loshadki.app/openin/ worth every penny. Source: about 3 years ago
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
Choosy - Choosy opens links in different browsers as specified, according to rules, set by the user.
NumPy - NumPy is the fundamental package for scientific computing with Python
Bumpr - Open web and email links in different browsers/email apps
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Opener - Opener is an app that allows you to open links from the web in apps instead! Copy a link and launch Opener to see the apps that it can be opened in, or use Opener's action extension right from other apps!
OpenCV - OpenCV is the world's biggest computer vision library