Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Mochi
Anki
RemNote
Quizlet
AnkiDroid
Memrise
Anki Decks
AnkiApp
Pandas MochiPandas 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 Mochi. 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 / about 1 month 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 2 months 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
I'm a big fan of Mochi[1] (also unaffiliated) after getting frustrated with the clunkiness of Anki. Mochi has great native apps on macOS and iOS (and maybe more?), the cards are formatted in markdown so I can generate them with LLMs with a custom system prompt, and I just found out today they have an API so I might try my hand at getting an LLM to push new cards on its own via. An MCP server. 1. https://mochi.cards/. - Source: Hacker News / 15 days ago
I think spaced repetition can be very helpful in language learning, but the author's plan of finding a pre-made deck of the most common 5,000 words is probably the worst way to use it. A much more effective approach is to create vocab cards yourself as you find new words through your immersion. Immersion could be anything from watching content online, to reading, to conversations with native speakers. From here... - Source: Hacker News / 6 months ago
In case anyone reads this, soon or in the far off future... I really don't like Anki from a design perspective, but the technique behind it is great. I've really been enjoying Mochi [1] as an alternative. I am not affiliated, just an unpaid shill for a good app. [1] https://mochi.cards/. - Source: Hacker News / 8 months ago
There is a comparable software that has a friendlier UX: https://mochi.cards/. It's basically Anki, if Anki were smoother. Does cost a tiny bit though. - Source: Hacker News / 10 months ago
Check out Mochi if you’re looking for an alternative. It probably ticks most of your boxes already. https://mochi.cards/. - Source: Hacker News / over 1 year ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
RemNote - All-in-One Tool For Thinking & Learning
OpenCV - OpenCV is the world's biggest computer vision library
Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.