esparto
pandas-datareader
| esparto | pandas-datareader | |
|---|---|---|
| 3 | 3 | |
| 85 | 2,821 | |
| - | 0.6% | |
| 2.7 | 6.3 | |
| 11 months ago | 3 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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esparto
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What is the best library to create a pdf file with python obviously? Thanks.
I have a project I've been working on that might be suitable: https://github.com/domvwt/esparto
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Web implementation from Python using Epyk and FastAPI
I've been working on a vaguely similar idea just for creating static HTML documents: https://github.com/domvwt/esparto
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Esparto - A minimal frontend web framework for Python.
GitHub
pandas-datareader
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Seeking recommendations for forex economic data API
I've looked at https://github.com/pydata/pandas-datareader and it looks good, does anyone have experience?
- pandas datareader get_data_yahoo(), Fix question, I have heard they changed something to make it secure
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Best quantitative tools/repos/apis for Sentiment & Social Media analysis of individual Stock/Crypto tickers
Also Yahoo continually takes steps to discourage programmatic access (the most recent attempt is happening right now: https://github.com/pydata/pandas-datareader/issues/868).
What are some alternatives?
tabula-py - Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame
yfinance - Download market data from Yahoo! Finance's API
epyk-templates
mfinancials - Simple module for downloading financial statements and estimates from financials.morningstar.com
fitly - Self hosted web analytics for endurance athletes
Scrape-Finance-Data-v2 - A standalone package to scrape financial data from listed Vietnamese companies via Vietstock
epyk-ui
yflive - Live Data Streamer for Yahoo! Finance
mlcourse.ai - Open Machine Learning Course
Quantel - Official Python wrapper for the Quantel Finance API
red-irag - Ocupación diaria de camas generales de pacientes COVID-19 en México
pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more [Moved to: https://github.com/pandas-dev/pandas]