Daily is a 5 star-rated time tracker for Mac that works by asking what you are working on. It provides a better way to track your daily activities without the hassle of toggling timers, switching tasks or taking notes. Use its accurate timesheets to submit your hours, create better invoices not missing any work or simply increase your productivity.
Underneath Daily’s user-friendly interface supporting both light and dark mode, you will find dozens of useful features. Examples include synchronisation via iCloud, automation using AppleScript, exporting to CSV, JSON and more, a tracking scheduler and system-wide keyboard shortcuts.
Try Daily for free by downloading it from the Mac App Store and join thousands of other employees, freelancers, founders and professionals.
Pandas 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 should be more popular than Daily Time Tracking. It has been mentiond 219 times since March 2021. 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 / 29 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 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
Check out Daily if you don't like manually toggling timers. Instead, it periodically asks what you are doing. Source: almost 2 years ago
Just for an app reference, a quick google reference I found this https://dailytimetracking.com not sure if this helps, but seems pretty simple and not intrusive/invasive. Source: almost 2 years ago
I'm the developer behind a time-tracking app, and I'm looking to build a Zapier integration for a larger customer who uses Jira. They want tracked time to automatically be pushed to Jira using their work log capability. They want to avoid using a (way more expensive) organization plan of Zapier, though. Source: about 2 years ago
If you're on a Mac, you might want to try out DailyTry out Daily if you're on a Mac. Although it focuses more on simplicity, you might like its way of tracking time: by periodically asking what you are doing. For other options, check out this blog post. Source: about 2 years ago
Not free, unfortunately, but check out Daily. It tracks time by periodically asking what you are doing instead of requiring you to toggle timers when you switch tasks. Alternatively, check out this blog post for other options. Source: about 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Zoom - Equip your team with tools designed to collaborate, connect, and engage with teammates and customers, no matter where you’re located, all in one platform.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
GoToMeeting - GoToMeeting is a web conferencing service offering a range of services which are available on Mac, PC, iOS and Android devices.
OpenCV - OpenCV is the world's biggest computer vision library
join.me - Instant screen sharing. Instant Aha!