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.
Based on our record, Pandas seems to be a lot more popular than Bobby. While we know about 219 links to Pandas, we've tracked only 4 mentions of Bobby. 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 2 months 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 / 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
Please note that this is not a full-fledged app like Bobby, but it should be enough for something functional and useful. - Source: dev.to / about 1 year ago
Log into the website of each service. There are apps like Bobby that help track subscriptions. Source: about 2 years ago
As far as keeping track of subscriptions and knowing when to cancel, I use an app called Bobby (iOS only). Source: over 2 years ago
You should definitely have a look at Bobby which helps you keep tracking subscriptions with alerts. The app is gorgeous and very intuitive. Source: almost 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Rocket Money - Find your paid subscriptions and cancel with one click
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Trim - Manage and cancel your paid subscriptions
OpenCV - OpenCV is the world's biggest computer vision library
TrackMySubs - Subscription tracking and management solution