Yahooquery
Pandas
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Yahooquery | Pandas | |
---|---|---|
5 | 393 | |
732 | 41,923 | |
- | 1.4% | |
7.3 | 10.0 | |
23 days ago | 3 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Yahooquery
- Unofficial Yahoo Finance API is down (again)
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This strategy seems to work really well with fake money... Why wouldn't it work with real money?
For that calculator, we acquired the data using the Twelve Data API (i don't have link; my friend got the data), which only allowed 800 requests per day on the free version, meaning we weren't able to get very much out of it (~14000 datapoints). We recently switched over to a new, 120,000 datapoint dataset we generated using a python library called yahooquery, which gives us unlimited requests. DM me for more info, if you want.
- Is there a better API for getting stock data than yfinance?
- Predição de ações na bolsa de valores com Python e Facebook Prophet
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How to Build Powerful Financial Analysis Tools with Python - Beyond the Basics
There is a better replacement for yfinance called yahooquery. Yahooquery provides better data and is capable of doing so asynchronously, but it still suffers from the same problems as the yfinance package.
Pandas
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
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10 Github repositories to achieve Python mastery
Explore here.
What are some alternatives?
yahoo-finance - Python module to get stock data from Yahoo! Finance
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
pyfolio - Portfolio and risk analytics in Python
tensorflow - An Open Source Machine Learning Framework for Everyone
zipline - Zipline, a Pythonic Algorithmic Trading Library
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Beancount DKB - Beancount Importers for DKB (Deutsche Kredit Bank) CSV Exports
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Pyqiwi - Python client for QIWI payment system
Keras - Deep Learning for humans
Tax-Calculator - USA Federal Individual Income and Payroll Tax Microsimulation Model
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration