Last night I worked a bit with python and tested on the online tool from Copernicus.

Copernicus is the European Union's Earth observation programme, which analyzes our planet and its environment for the benefit of all European citizens.

If you want to test it with python or another A.P>I. you need to create an user and a apassword.This is the source code I used with S:

from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt
from datetime import date
# Connect to the Sentinel API
api = SentinelAPI('___', '___', 'https://scihub.copernicus.eu/dhus')
#
api.download('___from_copernicus_website___')
# Search for Sentinel-2 images covering a specific area
footprint = geojson_to_wkt(read_geojson('area_of_interest.geojson'))

products = api.query(footprint,
                     date=('20211201', '20211205'),
                     platformname='Sentinel-1')
# convert to Pandas DataFrame
products_df = api.to_dataframe(products)
print(products_df)
# sort and limit to first 5 sorted products
products_df_sorted = products_df.sort_values(['link'], ascending=[True])
products_df_sorted = products_df_sorted.head(5)

# download sorted and reduced products
api.download_all(products_df_sorted.index)

You need a JSOn file to select the area of interest:

After I run this python script, the result is this:

python test001.py
                                                                                  title  ... productconsolidation
8f12995e-8f4b-4634-91bb-4971a1bdd0c3  S1B_IW_SLC__1SDV_20211201T160049_20211201T1601...  ...                  NaN
c62ceac6-c9ac-409d-bea9-d1bc23b1b183  S1B_IW_GRDH_1SDV_20211201T160050_20211201T1601...  ...                  NaN
2d1319c5-60af-468b-904a-5dfbdd5f205c  S1B_IW_RAW__0SDV_20211201T160046_20211201T1601...  ...                SLICE

[3 rows x 36 columns]
Downloading S1B_IW_GRDH_1SDV_20211201T160050_20211201T160115_029834_038FB2_A390.zip: 100%|█| 929M/929M [02:44<00:00, 5.
Downloading products:  33%|██████████████████▋                                     | 1/3 [02:58<05:57, 178.58s/product]
Downloading S1B_IW_RAW__0SDV_20211201T160046_20211201T160119_029834_038FB2_D35D.zip:  83%|▊| 1.31G/1.58G [03:21<00:26,
Downloading S1B_IW_SLC__1SDV_20211201T160049_20211201T160116_029834_038FB2_AC13.zip:  31%|▎| 1.33G/4.35G [03:18<04:16,
...

The copernicus online map can be seen in the next inage:

News : Inkscape team hiring python developer.

For the Inkscape project and its users, interoperability with other software packages, both free and commercial, is of high importance. The PLC has decided to hire a developer for the equivalent of 1.5 months (part-time schedule available) to implement importing functionality of a file format for which Inkscape yet lacks proper support. An extension of the project to up to 3 months (with additional compensation) may be granted depending on the success of the first half ...

You can find more information on the official website.

News : Snowpark for Python.

Snowpark for Python, now generally available, empowers the growing Python community of data scientists, data engineers, and developers to build secure and scalable data pipelines and machine learning (ML) workflows directly within Snowflake—taking advantage of Snowflake’s performance, elasticity, and security benefits, which are critical for production workloads., read more on this news on the official blog.

The official website come with this feature: Start your 30-day free Snowflake trial which includes $400 worth of free usage.

News : PyTorch 1.13 new release.

We are excited to announce the release of PyTorch® 1.13 (release note)! This includes Stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely thank our dedicated community for your contributions.

You can find more on the official website.

News : Python 3.11 alpha.

This is an old news because on the date Wednesday, April 6, 2022 the alpha version of the well-known python programming language was released.

The last Python 3.11 alpha (3.11.0a7) is available on this webpage.

I install and works good.

C:\Python311alpha>python.exe
Python 3.11.0a7 (main, Apr  5 2022, 21:27:39) [MSC v.1929 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.

Here are the new features and changes so far:

PEP 657 -- Include Fine-Grained Error Locations in Tracebacks
PEP 654 -- Exception Groups and except*
PEP 673 -- Self Type
PEP 646-- Variadic Generics
PEP 680-- tomllib: Support for Parsing TOML in the Standard Library
PEP 675-- Arbitrary Literal String Type
PEP 655-- Marking individual TypedDict items as required or potentially-missing
bpo-46752-- Introduce task groups to asyncio
The Faster Cpython Project is already yielding some exciting results: 
this version of CPython 3.11 is ~ 19% faster on the geometric mean of the PyPerformance benchmarks, compared to 3.10.0.

It seems that the new changes are very different from the old versions and some are even effective.

News : Python as the programming language of 2021.

The TIOBE index is based on the number of search results for a programming language across popular search engines, which is pretty limited.

They say:

Python has won the prestigious TIOBE Programming Language of the Year award. Congratulations! This is the second time in a row. The award is given to the programming language that has gained the highest increase in ratings in one year. C# was on its way to get the title for the first time in history, but Python surpassed C# in the last month.

See more on the official website.