Harvest has significantly improved our workflow. Its reporting make project management a breeze.
A nice simple interface and plenty of rich features really make this application essential.
Has a lot of features when compared to it's competitors out there.
Based on our record, Pandas seems to be a lot more popular than Harvest. While we know about 199 links to Pandas, we've tracked only 14 mentions of Harvest. 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.
If that’s not enough, I’ve had good experience with http://getharvest.com (and accompanying tools from them). Source: about 1 year ago
Https://getharvest.com/ : time tracker for contract work. Source: about 1 year ago
I use getharvest.com to track hourly and convert them to invoice. The only thing I don't like is that I have to add the task in the web dashboard rather than entering directly in the desktop app. There is 'note' field, but it won't show up in the invoice detail, so it is useless for me. Source: about 1 year ago
I think for your business the best way to go is with a premade app for time logs and invoicing. My wife uses Harvest for her business: https://getharvest.com. Source: about 1 year ago
I use Harvestto invoice and track time. You can also use QuickBooks. Source: about 1 year ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 21 days ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 1 month ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 1 month ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.
NumPy - NumPy is the fundamental package for scientific computing with Python
RescueTime - Time management software that shows you how you spend your time & provides tools to help you be more productive.
OpenCV - OpenCV is the world's biggest computer vision library
Time Doctor - Time Tracking and Time Management Software that is accurate and helps you to get a lot more done each day.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.