gitcoin DAO gitcoin governance Gitcoin Beta Round grant funding python blockchain data AI qf pandas numpy matplotlib seaborn plotly statsmodels DataFrame

Gitcoin beta round data analysis

We explore the data from Gitcoin Beta Round and gain insights into the grant funding process. We analyze grants in each round and its statistics.

dspytdao

Python finance log return NumPy econometrics log returns statistics Realized Variance

How to illustrate log returns vs simple returns

In this blog post we are introducing the concepts of log returns vs simple returns, realized volatility and realized variance.

dspytdao

Python finance realized volatility Pandas NumPy SciPy quarticity estimators

How to implement Realized Volatility python

Volatility estimators are especially valuable in modelling financial returns and capturing time-variability of financial series.

dspytdao

Python IO asyncio proxy numpy synchronous AIOHTTP await functools asynchronous

How to implement asyncio python tutorial

Asyncio python tutorial: smart way to efficiently handle tasks like network or input / output, especially for a time-consuming task to complete.

dspytdao

Python sklearn Pandas NumPy AI data science data time series machine learning

Machine Learning time series python - Data Science with Python

Sklearn python pipeline with multiple regression models using traditional and established libraries like numpy, pandas, scipy and sklearn.

dspytdao

Python sklearn pipeline sklearn pipeline NumPy AI pip ML scipy data ensemble Pandas machine learning DecisionTreeRegressor read_csv

Simple sklearn ensemble machine learning

A write up on sklearn ensemble pipeline for multiple target columns using libraries such as numpy, pandas and sklearn.

Pavel Fedotov