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.
No ProjectiFi videos yet. You could help us improve this page by suggesting one.
Based on our record, Pandas seems to be a lot more popular than ProjectiFi. While we know about 219 links to Pandas, we've tracked only 12 mentions of ProjectiFi. 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.
It helped me when I showed my wife the impact via something like projectifi. In one toggle I could show her what it looked like if we bought a house double our existing mortgage. It was at that moment she was like, "I don't think I want to ever move from this house". Source: over 3 years ago
So I want to share this with as many people as possible because it's just so good. You can use a free sandbox at https://projectifi.io/ to play around with it. I did that for about 3 weeks off and on before I decided to start paying for an account. A paid account lets it save your data, which is a tremendous time saver. I don't know how many times I had set up the FIRE calculator on engaging-data in the past as I... Source: over 3 years ago
You can use https://projectifi.io for that. I use it since I'm Ozzie and it's properly accounting for Australian Superannuation. - Source: Hacker News / over 3 years ago
I think https://projectifi.io/ has some interesting features as well. It allows you to separate accounts, consider taxes, life events, etc. Source: over 3 years ago
Somebody posted this the other day https://projectifi.io/, I enjoyed fishing it running a few simulations. Source: over 3 years ago
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 / 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 / 10 months ago
Finny - Finance tools for everyday life
NumPy - NumPy is the fundamental package for scientific computing with Python
Maybe - Modern day financial planning and wealth management
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Predict - Beautiful personal finance app with future prediction.
OpenCV - OpenCV is the world's biggest computer vision library