Python 3.8.0 : New release of python development.

Good news from the python development area with the new release of python development:
Python 3.7.5 Oct. 15, 2019 and Python 3.8.0 Oct. 14, 2019

Now you can use the new python version 3.8.0 from the official webpage.

Major new features of the 3.8 series, compared to 3.7 - release Date: Oct. 14, 2019:

• PEP 572, Assignment expressions
• PEP 570, Positional-only arguments
• PEP 587, Python Initialization Configuration (improved embedding)
• PEP 590, Vectorcall: a fast calling protocol for CPython
• PEP 578, Runtime audit hooks
• PEP 574, Pickle protocol 5 with out-of-band data
• Typing-related: PEP 591 (Final qualifier), PEP 586 (Literal types), and PEP 589 (TypedDict)
• Parallel filesystem cache for compiled bytecode
• Debug builds share ABI as release builds
• f-strings support a handy = specifier for debugging
• continue is now legal in finally: blocks
• on Windows, the default asyncio event loop is now ProactorEventLoop
• on macOS, the spawn start method is now used by default in multiprocessing
• multiprocessing can now use shared memory segments to avoid pickling costs between processes
• typed_ast is merged back to CPython
• LOAD_GLOBAL is now 40% faster
• pickle now uses Protocol 4 by default, improving performance

Let's install on Fedora 30 Linux distro:

[mythcat@desk ~]$ cd Python-3.8.0/
[mythcat@desk Python-3.8.0]$ ls
aclocal.m4          Doc         m4               Parser         README.rst
CODE_OF_CONDUCT.md  Grammar     Mac              PC             setup.py
config.guess        Include     Makefile.pre.in  PCbuild        Tools
config.sub          install-sh  Misc             Programs
configure           Lib         Modules          pyconfig.h.in
configure.ac        LICENSE     Objects          Python
[mythcat@desk Python-3.8.0]$ ./configure 
checking build system type... x86_64-pc-linux-gnu
checking host system type... x86_64-pc-linux-gnu
checking for python3.8... no
...
creating Makefile

If you want a release build with all stable optimizations active (PGO, etc),
please run ./configure --enable-optimizations

If you want then you can run the tool to prepare the build with optimizations:

[mythcat@desk Python-3.8.0]$ ./configure --enable-optimizations --with-ensurepip=install
...
creating Modules/Setup.local
creating Makefile

Use the make with the -j option to use building into parallel steps to speed up the compilation.

[mythcat@desk Python-3.8.0]$ make -j 2
...
make[1]: Leaving directory '/home/mythcat/Python-3.8.0'

Since you’re installing Python into /usr/bin, you’ll need to run as root:

[mythcat@desk Python-3.8.0]$ sudo make altinstall
...
Collecting setuptools
Collecting pip
Installing collected packages: setuptools, pip
Successfully installed pip-19.2.3 setuptools-41.2.0

Let's test it in this folder and with new python3.8 :

[mythcat@desk Python-3.8.0]$ ./python 
Python 3.8.0 (default, Oct 15 2019, 23:45:20) 
[GCC 9.2.1 20190827 (Red Hat 9.2.1-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> exit()
[mythcat@desk Python-3.8.0]$ python3.8
Python 3.8.0 (default, Oct 15 2019, 23:45:20) 
[GCC 9.2.1 20190827 (Red Hat 9.2.1-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> 

Python 3.7.4 : Testing python source code with streamlit tool.

The official webpage for this python package can be found at streamlit.io.
Let's install it with pip3 tool:

[mythcat@desk proiecte_github]$ mkdir streamlit_examples
[mythcat@desk proiecte_github]$ cd streamlit_examples/
[mythcat@desk streamlit_examples]$ pip3 install streamlit --user

Let's try some examples.
Create a file named 001.py
This simple example will show a map with randoms spots:

import pandas as pd
import numpy as np
import streamlit as st    
df = pd.DataFrame(
    np.random.randn(100, 2) / [50, 50] + [47.45, 26.3],
    columns=['lat', 'lon'])
st.map(df)

Let's run it with this command:

[mythcat@desk streamlit_examples]$ streamlit run 001.py 

  You can now view your Streamlit app in your browser.

  Local URL: http://localhost:8501
...

The next source code will show just the map because the df variable is empty:

import streamlit as st
df = []
st.deck_gl_chart(
    viewport={
        'latitude': 47.45,
        'longitude': 26.3,
        'zoom': 13,
        'pitch': 50,
    },
    layers=[{
        'type': 'HexagonLayer',
        'data': df,
        'radius': 200,
        'elevationScale': 4,
        'elevationRange': [0, 1000],
        'pickable': True,
        'extruded': True,
    }, {
        'type': 'ScatterplotLayer',
        'data': df,
    }])

The source code is added into another file named 002.py and can be run with this command:

[mythcat@desk streamlit_examples]$ streamlit run 002.py 

  You can now view your Streamlit app in your browser.

  Local URL: http://localhost:8501
...

You can see more about this tool at the official youtube channel: