Digit
Qapital
Mint
Tip Yourself
Chip
Predict
Olivia
Lyfcoach
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
htm.java
Exploratory
WEKA
PandasBased on our record, Pandas seems to be a lot more popular than Digit. While we know about 219 links to Pandas, we've tracked only 2 mentions of Digit. 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.
Has anyone thought about using Digit's bank account? Seems like it has a lot of similar features to One/Simple. I'm definitely intrigued! https://digit.co/. Source: almost 3 years ago
Also, just want to point out for anyone else who's reading that I'm not sure how well this would work for microbudgeting — e.g. gas, food, power bill, etc. — feels like that would be tedious to use with this UI. For me, I'm just setting aside rent, an emergency fund, credit card payments, and "fun money" so they're separate from my main balance. It's more like Digit than YNAB. Source: about 4 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 10 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 / 26 days 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 / 30 days 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 / 3 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 / 8 months ago
Qapital - Qapital is an easy to use Finance application that allows you to save money automatically and take control of your spending.
NumPy - NumPy is the fundamental package for scientific computing with Python
Mint - Free personal finance software to assist you to manage your money, financial planning, and budget planning tools. Achieve your financial goals with Mint.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Tip Yourself - Easy, fun and rewarding way to save money
OpenCV - OpenCV is the world's biggest computer vision library