Habitica VS Pandas

💾 Source code: https://github.com/HabitRPG/habitica 👕 Size: L 🛠️ Stack: Vue, Bootstrap, SAAS, Node.js, MongoDB

Habitica, an innovative daily planning app, takes a unique approach to task management by transforming your daily routine into an exciting role-playing game (RPG). Combining the principles of gamification and productivity, Habitica offers a refreshing and engaging way to stay organized, motivated, and on track with your goals. With its intuitive interface and vibrant visuals, this app turns mundane tasks and habits into thrilling quests and challenges.

habitica: this app turns your life into a role-playing game, with your tasks and habits to complete/achieve.

Works with Habitica (https://habitica.com/), an app that turns habits into RPG games! When reviewing with Anki, you can earn experience and items. (Habitica is also free)

> From these experiences, I’ve realized that avoiding bad habits is just as important as cultivating good habits.

Avoidance rarely works i think. I'd say replacing negative habits with positive ones is a better long term strategy.

Can recommend the App Habitica for this, free and open source. There are Android and iOS clients for it. Makes habits dailies and todos more fun.

Not affiliated, only fixed an accessibility issue once.

https://habitica.com

For everyone who does not know Habitica: it's a gamified task list where you can get coins for tasks and buy virtual pets (or your own custom rewards) for them. It's available on pretty much every platform. Guilds are groups for like-minded people, a little like subreddits. They're useful for holding each other accountable or just chatting about features and stuff. If you're new to Habitica and want to join, feel free as well!

Something like Ring Fit Adventure is probably out since you don't have much money to throw around, but you could try a "life RPG" type app like Habatica, rewarding yourself for keeping up on the habits you want to encourage. And it's free! Not sure if maybe there are general workout apps that make it feel like a game.

Habitica is pretty good. If you're into pixel arts and gamification. It has good community behind it to.

hmm get an instant pot, cook alot, and jump rope. It burns alot of calories per minute, and use habitica.com. It's an app that makes your life into an rpg. you can even join a guild with guys who want to get fit!

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. Instead, we'll focus on what's necessary to make it run serverless.

there is pull request to integrate in both pydantic extra types and into pandas cose [1]

[1]: https://github.com/pandas-dev/pandas/issues/53999

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.

pandas: A library for data analysis in Python

Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.

Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.

So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:

Weirdly most of my time spent with data analysis was in the C layers in pandas.

Explore here.