Hive is the powerful project management tool built to help teams move faster. Used by teams at Starbucks, Comcast and Toyota, Hive gives teams the ability to manage projects, communicate effectively, and analyze team productivity stats.
The basis of Hive is action cards, which can be organized into projects and collaborated on by several team members. Cards are assigned due dates and subtasks, and can be viewed flexibly in Gantt, Kanban, calendar or table view. Hive also has native chat and a first-of-its-kind email integration, which enables the tool to act as an all-in-one hub for businesses of all sizes, empowering efficiency and innovation.
Based on our record, Pandas seems to be a lot more popular than Hive. While we know about 219 links to Pandas, we've tracked only 9 mentions of Hive. 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 / 18 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 / 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 / 9 months ago
I use Hive hive.com , which is also a project management tool. I sync it with my google calendar for work-related things and with my calendar app on iPhone for home/family-related things. Guess I could use just one calendar and use tags, but this system works best for me. What I like about Hive is that I can create a time block right from my task dashboard, the app also let me start notes from a meeting straight... Source: almost 2 years ago
You could check out hive.com. Quite OK, though not as good as ClickUp. But free as a single user. Source: about 2 years ago
Try out https://hive.com/. We tried it out and it wasn't quite what we needed it for, but it seems great for project management. They even had a desktop app and it was free! Oh an internal chat and email integration too. Source: about 2 years ago
Make • Build and automate workflows InvoiceBerry • Online invoicing for small businesses Gusto • Payroll, benefits and HR management Hive • Manage tasks, workflows and team’s work Lanva • Social video editing app. ClickUp • Manage tasks, docs, chat, goals and more Plausible • Open-source privacy-friendly web analytics Podcast Hawk • Podcast guest booking software. Writesonic • AI-driven content... Source: over 2 years ago
Another pjm-tool for personal use which is worth checking out is Hive. Loads of features for free, even Gantt-charts. And it is possible to export data in xml (in gantt-view). Source: over 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
OpenCV - OpenCV is the world's biggest computer vision library
Basecamp - A simple and elegant project management system.