Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Productivity Power Tools
rubular
RegExr
RegexPlanet Ruby
RegEx Generator
Serendipity
Expresso
Reggy
Pandas Productivity Power ToolsPandas 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.
Productivity Power Tools is recommended for software developers and engineers who use Visual Studio as their primary Integrated Development Environment (IDE). It is particularly beneficial for those looking to enhance their coding efficiency, improve navigation within the IDE, and customize their development environment to better suit their personal workflow preferences.
Based on our record, Productivity Power Tools should be more popular than Pandas. It has been mentiond 481 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 / 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
There are several sqlite vs code extensions and this one's my favorite: https://marketplace.visualstudio.com/items?itemName=yy0931.vscode-sqlite3-editor. - Source: Hacker News / 4 days ago
Hi HN, I’m Eric, and I’m building ScrapeCopilot, an AI assistant designed to eliminate friction in browser automation development. Here is the link to VS Code extension - https://marketplace.visualstudio.com/items?itemName=scrapecopilot.scrapecopilot I've built browser automations for more than 5 years, and the constant frustration was always the sheer friction involved in getting working code – especially when... - Source: Hacker News / 4 days ago
This looks really cool. I will say my default solution for this, and the default across my org, is Data Wrangler in VS Code[1]. My only wish list item is if the low code solution wrote polars instead of pandas. Any thoughts on how hard that might be to accomplish? 1: https://marketplace.visualstudio.com/items?itemName=ms-toolsai.datawrangler. - Source: Hacker News / 9 days ago
Https://marketplace.visualstudio.com/items?itemName=sorucoder.freebasic There's also an QB64Official/vscode extension that has syntax highlighting and keyboard shortcuts:. - Source: Hacker News / 10 days ago
Tagged template literals can have all of these, some already exist¹ and doesn't need a build step. 1. https://marketplace.visualstudio.com/items?itemName=bierner.lit-html. - Source: Hacker News / 10 days ago
NumPy - NumPy is the fundamental package for scientific computing with Python
rubular - A ruby based regular expression editor
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
OpenCV - OpenCV is the world's biggest computer vision library
RegexPlanet Ruby - RegexPlanet offers a free-to-use Regular Expression Test Page to help you check RegEx in Ruby free-of-cost.