Programmatically access the physical and chemical properties of elements in modern periodic table.

Overview

API to fetch elements of the periodic table in JSON format. Uses Pandas for dumping .csv data to .json and Flask for API Integration. Deployed on "pythonanywhere.com".

Overview

The following document will specify how to use the API to fetch the periodic elements in JSON. Also it will state different methods throught which the elements can be fetch.

Data Object
symbol
name
atomicMass
atomicNumber
atomicRadius
boilingPoint
bondingType
cpkHexColor
density
electronAffinity
electronegativity
electronicConfiguration
groupBlock
ionRadius
ionizationEnergy
meltingPoint
oxidationStates
standardState
vanDerWaalsRadius
yearDiscovered

Methods

There are total of 6 methods by which you can fetch the data :

All

This will fetch all the 118 elements from periodic table.

Atomic Number

This will fetch element from periodic table having atomic number 20. Replace 20 with any other atomic number to fetch that element from 118.

Atomic Name

This will fetch element from periodic table having atomic name "Mercury". Replace "Mercury" with any other atomic name to fetch that element.

Atomic Symbol

This will fetch element from periodic table having atomic symbol "H" i.e. Hydrogen. Replace "H" with any other atomic symbol to fetch that element.

Bonding Type

This will fetch all elements from periodic table having Metallic bonding. Replace metallic with any other bonding type to fetch elements.

Group Block

This will fetch all elements from periodic table belongs to metal group. Replace metal with any other bonding type to fetch elements.

State

This will fetch all elements from periodic table belongs to gas state. Replace gas with any other state to fetch elements.

Owner
the techno hack
A little knowledge hub...where some noobs are learning new things.
the techno hack
A lightweight, hub-and-spoke dashboard for multi-account Data Science projects

A lightweight, hub-and-spoke dashboard for cross-account Data Science Projects Introduction Modern Data Science environments often involve many indepe

AWS Samples 3 Oct 30, 2021
Semi-Automated Data Processing

Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meanin

Arun Singh Babal 1 Jan 17, 2022
Analyzing Earth Observation (EO) data is complex and solutions often require custom tailored algorithms.

eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c

Sentinel Hub 18 Dec 23, 2022
A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.

TennisBusinessIntelligenceProject - A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.

carlo paladino 1 Jan 02, 2022
Pyspark Spotify ETL

This is my first Data Engineering project, it extracts data from the user's recently played tracks using Spotify's API, transforms data and then loads it into Postgresql using SQLAlchemy engine. Data

16 Jun 09, 2022
đź“Š Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.

Web Trader Web Trader is a trading website that consolidates data from Nasdaq, allowing the user to search up the ticker symbol and price of any stock

Paulina Khew 21 Aug 30, 2022
ForecastGA is a Python tool to forecast Google Analytics data using several popular time series models.

ForecastGA is a tool that combines a couple of popular libraries, Atspy and googleanalytics, with a few enhancements.

JR Oakes 36 Jan 03, 2023
Snakemake workflow for converting FASTQ files to self-contained CRAM files with maximum lossless compression.

Snakemake workflow: name A Snakemake workflow for description Usage The usage of this workflow is described in the Snakemake Workflow Catalog. If

Algorithms for reproducible bioinformatics (Koesterlab) 1 Dec 16, 2021
peptides.py is a pure-Python package to compute common descriptors for protein sequences

peptides.py Physicochemical properties and indices for amino-acid sequences. 🗺️ Overview peptides.py is a pure-Python package to compute common descr

Martin Larralde 32 Dec 31, 2022
4CAT: Capture and Analysis Toolkit

4CAT: Capture and Analysis Toolkit 4CAT is a research tool that can be used to analyse and process data from online social platforms. Its goal is to m

Digital Methods Initiative 147 Dec 20, 2022
A lightweight interface for reading in output from the Weather Research and Forecasting (WRF) model into xarray Dataset

xwrf A lightweight interface for reading in output from the Weather Research and Forecasting (WRF) model into xarray Dataset. The primary objective of

National Center for Atmospheric Research 43 Nov 29, 2022
X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

Nguyá»…n Quang Huy 5 Sep 28, 2022
Multiple Pairwise Comparisons (Post Hoc) Tests in Python

scikit-posthocs is a Python package that provides post hoc tests for pairwise multiple comparisons that are usually performed in statistical data anal

Maksim Terpilowski 264 Dec 30, 2022
GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-f

GWpy 342 Jan 07, 2023
Create HTML profiling reports from pandas DataFrame objects

Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great

10k Jan 01, 2023
Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt Labs 6.3k Jan 08, 2023
We're Team Arson and we're using the power of predictive modeling to combat wildfires.

We're Team Arson and we're using the power of predictive modeling to combat wildfires. Arson Map Inspiration There’s been a lot of wildfires in Califo

Jerry Lee 3 Oct 17, 2021
A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.

The leading use-case for the staircase package is for the creation and analysis of step functions. Pretty exciting huh. But don't hit the close button

48 Dec 21, 2022
Parses data out of your Google Takeout (History, Activity, Youtube, Locations, etc...)

google_takeout_parser parses both the Historical HTML and new JSON format for Google Takeouts caches individual takeout results behind cachew merge mu

Sean Breckenridge 27 Dec 28, 2022
Produces a summary CSV report of an Amber Electric customer's energy consumption and cost data.

Amber Electric Usage Summary This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cos

Graham Lea 12 May 26, 2022