Python 3.10.2 : about ChemSpiPy.

ChemSpiPy provides a way to interact with ChemSpider in Python. It allows chemical searches, chemical file downloads, depiction and retrieval of chemical properties...

You can read more about this python package on the official website and the documentation for this python package.

You have to create an account and fill in the data to get an A.P.I key...

This is the source code for this python package , I use PyQt6 to show image formula with:QPixmap.fromImage.

import chemspipy

# set the API key from https://developer.rsc.org/my-apps/
api_key = "... your A.P.I. key ..."

# import the ChemSpider class
from chemspipy import ChemSpider

# instance of the ChemSpider class
cs_inst = ChemSpider(api_key)

compound_name = "Glucose"
# search for compound: "Glucose"
compounds  = cs_inst.search(compound_name) 

# get the first compound in the list
compound = compounds[0]

# print the list of the attributes and methods of 'compound' object
print(dir(compound))

# Print the compound's properties
print("... some compound's properties !")
print(f"Name: {compound.common_name}")
print(f"Average_mass: {compound.average_mass}")
print(f"ChemSpider ID - csid: {compound.csid}")
#print(f" external_references: {compound.external_references}")
#print(f" image: {compound.image}")
#print(f" mol_2d: {compound.mol_2d}")
#print(f" mol_3d: {compound.mol_3d}")
print(f" molecular_formula: {compound.molecular_formula}")
print(f" molecular_weight: {compound.molecular_weight}")
print(f" monoisotopic_mass: {compound.monoisotopic_mass}")
print(f" nominal_mass: {compound.nominal_mass}")


import sys
from PyQt6.QtCore import Qt
from PyQt6.QtGui import QPixmap, QImage, QColor
from PyQt6.QtWidgets import QApplication, QMainWindow, QLabel

# Create the application
app = QApplication(sys.argv)

# Create the main window
window = QMainWindow()
window.setWindowTitle(compound_name)

# Load the image with fromData
image = QImage.fromData(compound.image)

# Create a label to display the image
label = QLabel()
label.setPixmap(QPixmap.fromImage(image))

# Set the label as the central widget of the window
window.setCentralWidget(label)

# Show the window
window.show()

# Run the application
app.exec()

This is the result of running the source code:

Python 3.10.2 : testing the NASA A.P.I. features.

In this tutorial I will show you how to deal with the NASA A.P.I. and python programming language.

This source code was build and tested yesterday.

This is the source code:

import requests
from datetime import date

today_data = date.today()
today = today_data.strftime("%d%m%Y")
import urllib.parse

# set your API key from nasa https://api.nasa.gov/#NHATS
api_key = "... your A.P.I. key ..."

# this is a simple example to get one day image 
base_url = "https://api.nasa.gov/planetary/apod"

# set the parameters for the API request
params = {
    "api_key": api_key
}

# the request to the API
response = requests.get(base_url, params=params)

# get data
if response.status_code == 200:
    # parse the response
    data = response.json()

    # print the image URL
    print(data["url"])
    # parse the URL
    parsed_url = urllib.parse.urlparse(data["url"])

    # extract the file name from the URL
    file_name = parsed_url.path.split("/")[-1]
    # save the image
    response_image = requests.get(data["url"])
    with open(today+'_'+file_name, "wb") as f:
        f.write(response_image.content)
else:
    # print the status code
    print(response.status_code)

I run the source code and I get these two images ...

...
01/03/2023  01:06 AM            86,943 03012023_AllPlanets_Tezel_1080_annotated.jpg
01/03/2023  04:22 PM           553,426 03012023_KembleCascade_Lease_960.jpg
...

Manim python example.

I have written before about manim as a Python package in this tutorial.

It's quite powerful for animation and I recommend it to content producers who need a tool for school board-like graphics.

Today I'm back with a link that a document written in Jupiter notebook with Manim package from manim community, see this link.