Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
When I Work
Deputy
ResourceGuru
Float
Sling
Ganttic
Shiftee
Bizimply
Pandas When I WorkBased on our record, Pandas seems to be a lot more popular than When I Work. While we know about 219 links to Pandas, we've tracked only 6 mentions of When I Work. 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 / 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
How are the users accessing these calendars if you don't create accounts for them? What you probably want is a work scheduling service like when I work: https://wheniwork.com. Source: over 2 years ago
You could try something like this: https://wheniwork.com. Source: almost 3 years ago
I record all of our takings through a spreadsheet and from this I add our takings into wheniwork.com and get my labour as a percentage of sales. Source: almost 4 years ago
Look at wheniwork.com. We used them a few years ago and they had lots of features. Source: almost 4 years ago
We are going to resume our work in few weeks and looking for efficient time tracking applications to keep track of the people working in the lab at any given time. In one lab I am using WhenIWork app and planning to us clockify in the second lab. Both of them are free and have some pros and cons. I was wondering if anybody has experience using any other software (free) in your lab. We are a team of 5-6 people and... Source: almost 4 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Deputy - Deputy is a software for employee scheduling, time and attendance and communication management.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
ResourceGuru - The fast, simple way to schedule people, equipment, and other resources online.
OpenCV - OpenCV is the world's biggest computer vision library
Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.
