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I read a lot on https://www.regular-expressions.info and experimented on https://rubular.com since I was also learning Ruby at the time. https://regexr.com is another good tool that breaks down your regex and matches. One of the things I remember being difficult at the beginning was the subtle differences between implementations, like `^` meaning "beginning of line" in Ruby (and others) but meaning "beginning of... - Source: Hacker News / 10 months ago
As a ruby developer, I was happy to find that VS Code / TextMate grammar files use the same regular expression engine called Oniguruma as ruby itself. Thus, I could be sure that when trying my regular expressions in my favorite online regex tool, rubular.com, there would be no inconsistencies due to the engine inner workings. - Source: dev.to / over 1 year ago
In my testing on a couple of regex testers (https://rubular.com/ & https://regex101.com/) this seems to select the postcode correctly each time. Source: almost 2 years ago
Copied from Rubular ( a nice tool to test regexes ):. Source: over 2 years ago
To add on to this from a regex perspective - I find regex to be invaluable in my workflows. Once you learn the basics I always test and debug my strings using https://rubular.com because it has string hints at the bottom that are readily available. Source: over 2 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 23 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
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
NumPy - NumPy is the fundamental package for scientific computing with Python
Expresso - The award-winning Expresso editor is equally suitable as a teaching tool for the beginning user of regular expressions or as a full-featured development environment for the experienced programmer with an extensive knowledge of regular expressions.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
RegEx Generator - RegEx Generator is a simple-to-use application that comes with the brilliance of intuitive regex and is also helping you out to test the regex.
OpenCV - OpenCV is the world's biggest computer vision library