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python-sec

A simple python library that allows for easy access of the SEC website so that someone can parse filings, collect data, and query documents.

python-training

Python training for business analysts and traders

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonic-monopoly

Real State Rental Analysis with Interactive Dashboard Visualizations

pyvista

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

resume-classification-cnn

Convolutional Neural Network for Text Classification in Tensorflow

resume-sql-scripts

resume.md

Write your resume in Markdown, style it with CSS, output to HTML and PDF

returns-over-date-ranges

This program reads daily stock data from a CSV, trims extraneous columns, converts date strings to datetime objects, sets the datetimes as the index, and calculates and plots returns for specified date ranges.

risky-business

rstudio

RStudio is an integrated development environment (IDE) for R

satrepo2

saturday-repo

scikit-learn

scikit-learn: machine learning in Python

seaborn

Statistical data visualization in Python

securities-database

Securities master database for algorithmic trading, backtesting, and data mining.

selling-partner-api-docs

This repository contains documentation for developers to use to call Selling Partner APIs.

setup-emacs-windows

A Github Action that installs a specific emacs version

starter-workflows

Accelerating new GitHub Actions workflows

summarizing-data-using-google-sheets

Through this work, you can easily understand the invaluable summary information programs used by experts in business, science, math, sports, crafts, music, writing, and many different disciplines. We will discover how to summarize a large amount of information in a few numbers, tables and graphs to gain the important knowledge that is hidden in them. We will also present the most used strategies in the business environment, focusing on the best way to cultivate them and when other strategies are more suitable. We will use Google Sheets and a host of information indexes to outline how to do the outline method. Using these strategies, regardless of your level of proficiency in the subject, you can change the way you use information to solve problems and move toward them. If you are an expert now, then a deep understanding of information science strategies will provide you with ideas for effective turbocharging, including skills and knowledge points to help you use information for dynamics. If you are fighting, you will see the mother vein of an organized utility that will guide you through what to do to refocus your attention. If you need to better summarize the information at any time, this task will help you act as an assistant.

tales-from-the-crypto

tda-api

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.

term-life-estimator

the-power-of-the-cloud-and-unsupervised-learning

thevoterintegrityproject

tokenomics-and-crowdsale

A Study Session introducing concepts of Solidity and Advanced Solidity.

viewers

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

vr-resume

whirlwindtourofpython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

wipy

The WiPy libraries, releases, hardware files and docs