Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
htm.java
Exploratory
WEKA
PandasAI
Unbounce
Marvel
Conversion Crimes
Outplay HQ
yt-dlp
Poptin
Branch
Pandas PandasAINo features have been listed yet.
Based on our record, Pandas seems to be a lot more popular than PandasAI. While we know about 219 links to Pandas, we've tracked only 3 mentions of PandasAI. 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 / 2 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 / 18 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 / 22 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
I started working on a project recently to familiar myself with LLM's. The project is called matplotlib_ai, and it's inspired by pandas_ai. Matplotlib_ai is a package that is able to take in a natural language prompt by the user and generate graphs based on it. As of right now, it uses OpenAI's GPT-3.5 service only (so yes, it requires an API key from OpenAI), but I plan on incorporating other free LLM's too. The... Source: almost 2 years ago
The medium article is ok, if blocked at times. This is just a summary, not by the package author. You can jump to the code at https://github.com/gventuri/pandas-ai to see more of what it's trying to do. - Source: Hacker News / almost 2 years ago
Thank you for your comment! Actually, the idea behind PromptQueries was inspired by the repository https://github.com/gventuri/pandas-ai, which uses the pandas library in Python to achieve similar results. However, since I mainly work with C# and it's a strongly typed language, I wanted to experiment with this idea and apply it to a library that works with C# and the GPT-3 language model from OpenAI. Source: almost 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Unbounce - Unbounce lets marketers and businesses build, publish and test landing pages without IT or software. AI enhanved A/B testing and lead gen make it a powerful marketing tool.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Marvel - Turn sketches, mockups and designs into web, iPhone, iOS, Android and Apple Watch app prototypes.
OpenCV - OpenCV is the world's biggest computer vision library
Conversion Crimes - Get insights on how users behave on your site or software and how they feel about it. Remove friction and increase motivation to buy.