Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Archbee.io
ReadMe
Slite
Docusaurus
GitBook
Gyde AI Screenshot Guidance Platform
ScribeHow
Google Docs
Write in a blazingly fast WYSIWYG editor with 30+ custom blocks and native markdown to create built-in diagrams, API docs, Swagger, GraphQL. Check the out of the box integrations with Github, Slack, Lucidchart, Airtable, Google Sheets, Typeform, Jira, or Figma. Inline comments for async collaboration and to enhance team performance or minimize knowledge churn are supported by Archbee's collaborative features.
Pandas Archbee.ioPandas 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 seems to be a lot more popular than Archbee.io. While we know about 219 links to Pandas, we've tracked only 21 mentions of Archbee.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.
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 / 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
If you have a tech business, you should look into an internal knowledge base that is aligned with developers. archbee.com is similar to document360, but with features that are relevant to write developer documentation, APIs etc. Source: almost 3 years ago
But if you want something similar with your example, check archbee.com, it has integration with GraphiQL. Source: almost 3 years ago
If you want to get a tool and don't need to start building your own setup I would recommend looking into some documentation platforms like archbee.io. Source: almost 3 years ago
If you want to go with a SaaS, I'd say to check archbee.io - because you can do end user guides and developer documentation... Source: almost 3 years ago
It's hard to enforce developers to update documentation. Ideally, you should have somebody responsible to do it. As for the documentation stack, archbee.io for both internal and external. A good alternative to Notion since it supports markdown, code blocks with more options and API references. Source: almost 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
ReadMe - A collaborative developer hub for your API or code.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Slite - Your company knowledge
OpenCV - OpenCV is the world's biggest computer vision library
Docusaurus - Easy to maintain open source documentation websites