Based on our record, Pandas should be more popular than Todoist. It has been mentiond 201 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.
I'm curious how this is better than (or even significantly different to) Todoist [1], a well-established cross platform application which also supports natural language task creation [2] and a keyboard-driven workflow [3]. [1]: https://todoist.com/. - Source: Hacker News / 4 months ago
Todoist is renowned for its simplicity and powerful task management features, making it one of the best shared to-do list apps for couples in 2024. Whether it's managing household tasks or planning a big event, Todoist helps couples stay organized and focused. - Source: dev.to / 4 months ago
Todoist.com — Collaborative and individual task management. The free plan has: 5 active projects, five users in the project, file uploading up to 5MB, three filters, and one week of activity history. - Source: dev.to / 5 months ago
The official Todoist website can be found at https://todoist.com, and information about OpenAI is available at https://openai.com. The names Todoist and OpenAI as well as related names, marks, emblems, and images are registered trademarks of their respective owners. Source: 8 months ago
Tired of juggling endless to-do lists and struggling to stay organized? Todoist streamlines your task management with its user-friendly interface, allowing you to effortlessly create, categorize, and prioritize your daily tasks. There are many to-do list apps out there, but Todoist is one of the best. Beyond personal efficiency, Todoist is also a great collaborative tool for teams, with shared tasks, real-time... - Source: dev.to / 11 months ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 22 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 28 days 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 / about 2 months 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 / 3 months 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 / 2 months ago
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
NumPy - NumPy is the fundamental package for scientific computing with Python
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
TickTick - TickTickis a cross-platform to-do list app & task manager helps you to get all things done and make life well organized.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.