Runn is a real-time resource management platform with integrated time tracking and forecasting. Intuitively plan projects and schedule resources across the short and long term. Get a dynamic bird's-eye view of capacity, workload and availability as you plan. Track project budgets and view forecasts of key metrics. Use Runn's timesheets to monitor progress and compare plans with actuals. Integrate with Harvest, WorkflowMax, and Clockify. Use the API to connect your favourite tools with Runn.
Based on our record, Pandas seems to be a lot more popular than Runn. While we know about 219 links to Pandas, we've tracked only 2 mentions of Runn. 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 / 24 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
Have a look at resource management softwares e.g. runn.io. Source: almost 3 years ago
If you're not comparing epeen size and actually are interested I'd check runn.io for their transparent salary guide which I find quite accurate. Great company and great people. Source: over 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
teamdeck - Teamdeck is a SaaS resource management tool with resource scheduling, leave management, time tracking and timesheet, and customizable reports features. Selected by Hill-Knowlton, Stormind Games, Wunderman Thompson. $3.60/per member.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Hub Planner - Transparent Resource Scheduling, Timesheets, Vacation, Resource Requesting, Project Management & powerful Reports in an agile designed, feasible & intuitive software for simple planning
OpenCV - OpenCV is the world's biggest computer vision library
Saviom - Saviom develops and provides Resource & Workforce Management software that help firms to improve resource allocation & staff utilization.