This repository contains some analysis of possible nerdle answers

Last update: Dec 16, 2022

Overview

Nerdle Analysis

https://nerdlegame.com/

This repository contains some analysis of possible nerdle answers. Here's a quick overview:

nerdle.py contains code to generate all possible nerdle answers.
all_answers.txt contains those generated answers.
analysis.ipynb contains analysis of those generated answers, including various frequency plots, and information on the likelyhood of different operator combinations and number lengths appearing.
plots/* are plots from the notebook.

Probability of a given symbol appearing

Frequency of symbols per position

Take a look at analysis.ipynb for more!

Owner

A-Level student in England, studying Computer Science.

GitHub Repository

InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family.

CRISPRanalysis InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family. In this work, we present a workflow

2 Jan 31, 2022

A model checker for verifying properties in epistemic models

Epistemic Model Checker This is a model checker for verifying properties in epistemic models. The goal of the model checker is to check for Pluralisti

2 Dec 22, 2021

Performance analysis of predictive (alpha) stock factors

Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour

2.5k Jan 09, 2023

First and foremost, we want dbt documentation to retain a DRY principle. Every time we repeat ourselves, we waste our time. Second, we want to understand column level lineage and automate impact analysis.

dbt-osmosis First and foremost, we want dbt documentation to retain a DRY principle. Every time we repeat ourselves, we waste our time. Second, we wan

150 Jan 06, 2023

Python package for analyzing sensor-collected human motion data

71 Nov 05, 2022

Python script to automate the plotting and analysis of percentage depth dose and dose profile simulations in TOPAS.

topas-create-graphs A script to automatically plot the results of a topas simulation Works for percentage depth dose (pdd) and dose profiles (dp). Dep

10 Dec 08, 2022

Intake is a lightweight package for finding, investigating, loading and disseminating data.

Intake: A general interface for loading data Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps

851 Jan 01, 2023

An Indexer that works out-of-the-box when you have less than 100K stored Documents

U100KIndexer An Indexer that works out-of-the-box when you have less than 100K stored Documents. U100K means under 100K. At 100K stored Documents with

7 Mar 15, 2022

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly.

Please consider citing the manuscript if you use apricot in your academic work! You can find more thorough documentation here. apricot implements subm

457 Dec 20, 2022

nrgpy is the Python package for processing NRG Data Files

nrgpy nrgpy is the Python package for processing NRG Data Files Website and source: https://github.com/nrgpy/nrgpy Documentation: https://nrgpy.github

23 Dec 08, 2022

Statsmodels: statistical modeling and econometrics in Python

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

8k Dec 29, 2022

A pipeline that creates consensus sequences from a Nanopore reads. I

A pipeline that creates consensus sequences from a Nanopore reads. It clusters reads that are similar to each other and creates a consensus that is then identified using BLAST.

2 May 15, 2022

This tool parses log data and allows to define analysis pipelines for anomaly detection.

logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis wit

32 Nov 27, 2022

Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.

2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou

5 Oct 10, 2022

BErt-like Neurophysiological Data Representation

BENDR BErt-like Neurophysiological Data Representation This repository contains the source code for reproducing, or extending the BERT-like self-super

114 Dec 23, 2022

Senator Trades Monitor

Senator Trades Monitor This monitor will grab the most recent trades by senators and send them as a webhook to discord. Installation To use the monito

5 Jun 11, 2022

Universal data analysis tools for atmospheric sciences

U_analysis Universal data analysis tools for atmospheric sciences Script written in python 3. This file defines multiple functions that can be used fo

1 Oct 10, 2021

Template for a Dataflow Flex Template in Python

Dataflow Flex Template in Python This repository contains a template for a Dataflow Flex Template written in Python that can easily be used to build D

5 Apr 28, 2022

pipeline for migrating lichess data into postgresql

How Long Does It Take Ordinary People To "Get Good" At Chess? TL;DR: According to 5.5 years of data from 2.3 million players and 450 million games, mo

182 Nov 11, 2022

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext

1.8k Jan 09, 2023