Coming to Python.... preparation and anticipation
I always forget. I read about something pythonic, then quasi-remember what it was I read. So this is what is coming to python. A look into the future. Preparing for the future.
Also... Install Spyder, Jupyter console and Jupyter notebook for ArcGIS Pro by default
2019-02-21 Python 3.8 beta is out Starting to run out of dot numbers
2018-06-28 Python 3.7 official release Yes it is here... just add 1.0 to the version you are working on
2018-06-11 What’s New In Python 3.7 — Python 3.7.0b5 documentation
Lots of speed improvements for many widely used functions. Python 3.8 is on the way.
2018-03-31 numbers
Hey almost forgot this one. Ever tried to type in UTM coordinates for those that live in the 6 figure northing range. You poke at the screen counting zeros to make sure you get the northing right and don't end up near the equator. Along comes underscores in numbers.
| underscores in numbers |
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Cool ehh? No more dirty monitors. There is more in the specs for hex and nibbly bits etc
Underscores in Numeric Literals for those that are interested
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Older threads
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ArcGIS Pro 2.1 ships with python 3.6.2 2018-01-17
Python 3.0 released on December 3rd, 2008.
Python 3.6 expected final December 12th, 2016 8 years old!
Python 3.7 beta released September 23rd, 2017
New Additions: Update: 2018-06-27 |
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Exiting 2.7... supporters and timeline 2020.... set your clocks Python 3.7.0a math.remainder ... Numpy 1.13 release notes updated Apparently the wait will continue arcmap 10.5 python version?? Recent blog /blogs/dan_patterson/2016/12/07/not-using-python-3 Python 3.7 beta... Overview — Python 3.7.0a0 documentation Conda tips and tools... Conda and ArcGIS Pro | ArcPy Café Python 3.6 final coming soon... sorted dictionary keys and more Release information and changes Anaconda, Spyder and PRO Anaconda, Spyder and ArcGIS PROPython & Pro Python and ArcGIS Pro 1.3 : Conda Anaconda Download Anaconda now! | Continuum SciPy.org SciPy.org — SciPy.org latest release for numpy 1.11.1 and SciPy 0.17.1 Learning resources: Data Science in Python GitHub - Data Science Python: common data analysis and machine learning tasks using python |
A classic example is those of you that have avoided reading:
Python Mini Formatting Language .
Oh wait!! Many of you are still using python 2.7. Good news! Install ArcGIS PRO and enter the realm of Python 3.4. Yes I did say 3.4. but it gets worse.... Python 3.7 is in beta as of Sept 2016.
Python 2.7.x is the last of the 2.x series. It will remain on support for some time (to indefinitely), but there have been lots happening since Python 3.0 was introduced (homework... when was python 3.0 introduced).
So this is not going to be a retrospective going back to python 3.0 and what it introduced, but I will highlight what is going forward in the python world since python 3.6 is set for final release soon.. and you will be using python 3.4 ... IF you install ArcGIS PRO or dabble in the neverworld of alternate installs. So in reverse order, this is what I think will be useful for you to look forward to, and what you may have missed.
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| Contents : Python NumPy SciPy Matplotlib Pandas Update: 2017-02-18 |
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Last Update: numpy 1.12 and scipy 0.17.1 and added Pandas 0.18.1 release What’s New — pandas 0.18.1 documentation |
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GitHub section
Esri GitHub - Esri/esri.github.com: Esri on Github
Matplotlib GitHub - matplotlib/matplotlib: matplotlib: plotting with Python
Numpy GitHub - numpy/numpy: Numpy main repository
Pandas GitHub - pydata/pandas: Flexible and powerful data analysis ...
SciPy GitHub - scipy/scipy: Scipy library main repository
Sympy GitHub - sympy/sympy: A computer algebra system written in pure Python
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Python section
The main link What’s New in Python ... this goes back in history
Pre-existing functionality What is in version 3 that existed in version 2.6
with statement, print as a function, io module
----- python 3.8 ---------------------------------------------------------------------------------------
What’s New In Python 3.8 ... main page
Highlights
----- python 3.7 ---------------------------------------------------------------------------------------
What’s New In Python 3.7 ... main page
Highlights
- math.remainder ... Python 3.7.0a0
- Overview — Python 3.7.0a0 documentation
- full change log and release schedule
----- python 3.6 ---------------------------------------------------------------------------------------
What’s New In Python 3.6 ... main page
Highlights
- https://docs.python.org/3.6/whatsnew/3.6.html
- full change log and release schedule
- str.format for formatting strings ... str.format ... PEP 0498
>>> name = "Fred"
>>> f"He said his name is {name}."
'He said his name is Fred.'
- Improved Modules
- link is a bit early, but includes:
datetime The
datetime.strftime()anddate.strftime()methods now support ISO 8601 date directives%G,%uand%Voszipfile
- link is a bit early, but includes:
---- python 3.5 -------------------------------------------------------------------------------------------
What’s New In Python 3.5 ...main page
- Highlights
an infix matrix multiplier a @ b ... pep 465
- addition unpacking generalizations pep 448 what is unpacking you say...
>>> *range(4), 4 (0, 1, 2, 3, 4)
>>> [*range(4), 4] [0, 1, 2, 3, 4]
>>> {*range(4), 4, *(5, 6, 7)} {0, 1, 2, 3, 4, 5, 6, 7}
>>> {'x': 1, **{'y': 2}} {'x': 1, 'y': 2}
- os.scandir an addition to os.walk pep 471 for details or you can get it from github GitHub - benhoyt/scandir: Better than os.walk(), now in the Python 3.5 stdlib
- math.isclose for near checking pep 485 for details
- make python aware of virtual env pep 486 for details
- Improved Modules
- link includes, but not limited to:
- collections, csv, distutils, doctest, enum, inspect, io, json, locale, logger, math, os, pathlib, re, readline, sys, time, timeit, trackback, types, zipfile
collections.OrderedDict is now implemented in C which makes it 4 to 100 times faster.
- csv.write_rows now supports any iterable
- enum.Enum now supports a start number for text enumeration
- math ... added nan and inf constants (finally!!!) and gcd (get common divisor)
- os.walk significant speed improvements
- link includes, but not limited to:
---- python 3.4 -----------------------------------------------------------------------------------------
What's New in Python 3.4 ... main page
- Highlights
- enum new pep 435 for details
- pathlib new pep 428 for details
- statistics module new pep 450 for details
>>> import statistics
>>> dir(statistics)
[ .... snip ... 'mean', 'median', 'median_grouped', 'median_high', 'median_low', 'mode', 'pstdev', 'pvariance', 'stdev', 'variance']
- Improved Modules
- link includes, but not limited to: collections, inspect, multiprocessing, operator, os, re, sys, textwrap, zipfile
- textwrap adds maxlines, placeholder and shorten
- link includes, but not limited to: collections, inspect, multiprocessing, operator, os, re, sys, textwrap, zipfile
---- python 3.3 and before -------------------------------------------------------------------------------
Previous stuff (aka pre-3.4)
- porting to 2to3 2to3 - Automated Python 2 to 3 code translation
- changes to or replacement of : apply, asserts, dict (dict.items(), dict.keys(), dict.values()), exec, has_key, isinstance, itertools, long, map, next, nonzero, operator, print, raise, range, raw_input, unicode, xrange, zip
- virtual environments pep 405
- python launcher pep 397
- ordered dictionaries pep 372
- print as a function pep 3105
- sysconfig Python’s configuration information
- argparse
- order dictionaries
- print statement
- division / float, // integer
way more ..... you will just have to read the original migration docs.
Significant changes to text handling and the migration to full unicode support.
Some of the changes have been implemented in python 2.7 and/or can be accessed via ... from future import ....
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Anaconda section
Anaconda, Spyder and ArcGIS PRO
Python and ArcGIS Pro 1.3 : Conda
Download Anaconda now! | Continuum
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NumPy section
The reverse chronological list of changes to numpy Release Notes — NumPy v1.13 Manual
numpy 1.13- - new functions... np.isin, np.divmod, np.block, plus others
- deprecations and changes are quite long... many improvements to subclass carry forwards
- too many more to list.
numpy 1.12- einsum optimized for speed
- keepdims added to many functions
- axis keyword for rot90
- flipud and fliplr now have axis generalization
- nancumsum and nancumprod added to the nan line of functions
- too many more to list
numpy 1.10
np.rollaxis, np.swapaxis now return views
np.ravel, np.diagonal, np.diag now preserve subtypes
recarray field and view changes in how data are treated, see documentation
matrix @ operator implemented in keeping with its implementation in python 3.5
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SciPy section
Too many to list, but the change logs are given here Release Notes — SciPy v0.17.0 Reference Guide
SciPy central http://central.scipy.org/
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Matplotlib section
users guide User’s Guide — Matplotlib 1.5.1 documentation
chronologic change history What’s new in matplotlib — Matplotlib 1.5.1 documentation
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Pandas section
Pandas 0.18.1 What’s New — pandas 0.18.1 documentation
The full list is here pandas main page and release notes