Based on our record, Pandas seems to be a lot more popular than Kanka.io. While we know about 219 links to Pandas, we've tracked only 10 mentions of Kanka.io. 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.
When you said hopefully to include player campaign notes, I thought of kanka. It's somewhat less feature-rich, I think, but it is potentially-free and collaborative. Source: almost 3 years ago
Our group has been using Kanka (https://kanka.io/en) for the past few years and it’s been super helpful. Source: almost 3 years ago
Some people I know have recommended kanka: https://kanka.io/en. Source: about 3 years ago
I use Kanka, I’ve found it to be excellent. A few key points: - there are loads of different page types you can create, characters, locations, organisations, items, it’s quite varied. Although you can’t make custom ones I’ve never needed to. - you can easily link to other pages within your Kanka campaign by typing and @ followed by the name of the page, so @Barry will pop up a list for you to select from your... Source: over 3 years ago
I've also heard some pretty good things about Kanka (https://kanka.io/en), though I haven't tried it myself yet. Source: over 3 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 6 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 / 22 days 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 / 26 days 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 / 3 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 / 8 months ago
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