This course will help you to expertise the usage of Python in Data Science world.
Carter your Python Knowledge so that it can be utilized to get the Insights of Data using Methodologies and Techniques of Data Science...
Objective:
Understand the concepts of Data science and Python
You will be able to use Python in Discovering Data.
You will have an idea of Statistical and Analytical methods to deal with huge data sets.
You will gain an expertise on Regular Expressions, looping functions and concepts of Object Oriented Programming.
You will be able to create business algorithms and data models using Python and it's techniques.
Work on Real-life Projects will help you to get a practical experience of real scenarios of IT Industry.
Start learning Python for Data Science from basics to advance levels here...
https://goo.gl/070wXw
This is generic colouriser, version 1.11.3
grc is a colouriser configured by regular expressions, including
a simple command line wrapper for some commonly used unix commands.
Notable changes in this version:
- add several configuration files
- --colour=auto is now the default (colourize only if the output is a tty)
License: GPL (any version)
URL: http://kassiopeia.juls.savba.sk/~garabik/software/grc.html
--
-----------------------------------------------------------
| Radovan Garabík http://kassiopeia.juls.savba.sk/~garabik/ |
| __..--^^^--..__ garabik @ kassiopeia.juls.savba.sk |
-----------------------------------------------------------
Antivirus alert: file .signature infected by signature virus.
Hi! I'm a signature virus! Copy me into your signature file to help me spread!
On behalf of Twisted Matrix Laboratories, I'm honoured to announce the
release of Twisted 18.4.0!
The highlights of the release are:
- The dropping of Python 3.3 support.
- Python 3 fixes (notably to trial -j, asyncioreactor, conch, and mail)
- Python 3 TCP speed improvements (less copying when sending data)
- Better TLS curve selection support for both old and new OpenSSLs
- IPv6 fixes for WSGIResource
- 60+ closed tickets with many fixed bugs!
For more information, check the NEWS file (link provided below).
You can find the downloads at <https://pypi.python.org/pypi/Twisted> (or
alternatively <http://twistedmatrix.com/trac/wiki/Downloads>). The NEWS
file is also available at
<https://github.com/twisted/twisted/blob/twisted-18.4.0/NEWS.rst>.
Many thanks to everyone who had a part in this release - the supporters
of the Twisted Software Foundation, the developers who contributed code
as well as documentation, and all the people building great things with
Twisted!
Twisted Regards,
Amber Brown (HawkOwl)
We are excited to announce the launch of the EuroPython 2018 website:
* https://ep2018.europython.eu/ *
The EuroPython conference will take place in Edinburgh, UK, this year,
from July 23 - 29.
EuroPython 2018 - The European Python Conference
------------------------------------------------
Here’s an overview of what you can expect in Edinburgh:
* We will start with the Workshops and the Trainings on Monday and
Tuesday, July 23-24.
* The main 3 conference day follow, packed with keynotes, talks,
helpdesks, panels and open space sessions.
* A complete PyData EuroPython 2018 will be included as well.
* The two weekend days after the conference, July 28 and 29, are
reserved for sprints.
Overall, we will again have 7 days worth of great Python content,
arranged in over 120 sessions, waiting for you.
In short:
* Monday, Tuesday, July 23-24: Workshops and Trainings and
Beginners’ Day
* Wednesday - Friday, July 25-27: Main Conference with talks, keynotes,
exhibit, panels, posters, helpdesks and open sessions.
* Saturday, Sunday, July 28-29: Sprints.
Meet our launch sponsors
------------------------
All this would not be possible without the generous help of our launch
sponsors:
* Smarkets
* Datadog
* Intel
* Jetbrains
* numberly / 1000mercis
In the coming days, we will provide you with more information and
announce the start of the Call for Proposals and Early Bird Ticket
sales. Please watch our EuroPython blog for updates.
Enjoy,
--
EuroPython 2018 Team
https://ep2018.europython.eu/https://www.europython-society.org/
PS: Please forward or retweet to help us reach all interested parties:
https://twitter.com/europython/status/990509930426880005
Thanks.
Hi All,
I am pleased to announce the release of NumPy 1.14.3. This is a bugfix
release for a few bugs reported following the 1.14.2 release:
* np.lib.recfunctions.fromrecords accepts a list-of-lists, until 1.15
* In python2, float types use the new print style when printing to a file
* style arg in "legacy" print mode now works for 0d arrays
The Python versions supported in this release are 2.7 and 3.4 - 3.6. The
Python 3.6 wheels available from PIP are built with Python 3.6.2 and should
be compatible with all previous versions of Python 3.6. The source releases
were cythonized with Cython 0.28.2.
Contributors
============
A total of 6 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.
* Allan Haldane
* Charles Harris
* Jonathan March +
* Malcolm Smith +
* Matti Picus
* Pauli Virtanen
Pull requests merged
====================
A total of 8 pull requests were merged for this release.
* `#10862 <https://github.com/numpy/numpy/pull/10862>`__: BUG: floating
types should override tp_print (1.14 backport)
* `#10905 <https://github.com/numpy/numpy/pull/10905>`__: BUG: for 1.14
back-compat, accept list-of-lists in fromrecords
* `#10947 <https://github.com/numpy/numpy/pull/10947>`__: BUG: 'style'
arg to array2string broken in legacy mode (1.14...
* `#10959 <https://github.com/numpy/numpy/pull/10959>`__: BUG: test, fix
for missing flags['WRITEBACKIFCOPY'] key
* `#10960 <https://github.com/numpy/numpy/pull/10960>`__: BUG: Add
missing underscore to prototype in check_embedded_lapack
* `#10961 <https://github.com/numpy/numpy/pull/10961>`__: BUG: Fix
encoding regression in ma/bench.py (Issue #10868)
* `#10962 <https://github.com/numpy/numpy/pull/10962>`__: BUG: core: fix
NPY_TITLE_KEY macro on pypy
* `#10974 <https://github.com/numpy/numpy/pull/10974>`__: BUG: test, fix
PyArray_DiscardWritebackIfCopy...
Cheers,
Allan Haldane
Hi All,
I am pleased to announce the release of NumPy 1.14.3. This is a bugfix
release for a few bugs reported following the 1.14.2 release:
* np.lib.recfunctions.fromrecords accepts a list-of-lists, until 1.15
* In python2, float types use the new print style when printing to a file
* style arg in "legacy" print mode now works for 0d arrays
The Python versions supported in this release are 2.7 and 3.4 - 3.6. The
Python 3.6 wheels available from PIP are built with Python 3.6.2 and should
be compatible with all previous versions of Python 3.6. The source releases
were cythonized with Cython 0.28.2.
Contributors
============
A total of 6 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.
* Allan Haldane
* Charles Harris
* Jonathan March +
* Malcolm Smith +
* Matti Picus
* Pauli Virtanen
Pull requests merged
====================
A total of 8 pull requests were merged for this release.
* `#10862 <https://github.com/numpy/numpy/pull/10862>`__: BUG: floating
types should override tp_print (1.14 backport)
* `#10905 <https://github.com/numpy/numpy/pull/10905>`__: BUG: for 1.14
back-compat, accept list-of-lists in fromrecords
* `#10947 <https://github.com/numpy/numpy/pull/10947>`__: BUG: 'style'
arg to array2string broken in legacy mode (1.14...
* `#10959 <https://github.com/numpy/numpy/pull/10959>`__: BUG: test, fix
for missing flags['WRITEBACKIFCOPY'] key
* `#10960 <https://github.com/numpy/numpy/pull/10960>`__: BUG: Add
missing underscore to prototype in check_embedded_lapack
* `#10961 <https://github.com/numpy/numpy/pull/10961>`__: BUG: Fix
encoding regression in ma/bench.py (Issue #10868)
* `#10962 <https://github.com/numpy/numpy/pull/10962>`__: BUG: core: fix
NPY_TITLE_KEY macro on pypy
* `#10974 <https://github.com/numpy/numpy/pull/10974>`__: BUG: test, fix
PyArray_DiscardWritebackIfCopy...
Cheers,
Allan Haldane
Hi all,
We are pleased to announce the release of telluric 0.1, the first public
version of the library!
telluric is a MIT licensed Python library to manage vector and raster
geospatial data in an interactive and easy way. It lets you read the common
vector and raster geospatial formats (leveraging on well known libraries
such as fiona, shapely and rasterio) and makes it extremely easy to combine
data sources with different projections, visualize them, read and write
them from/to disk, and more.
You can install it using pip:
pip install telluric
(conda packages are on the way)
Read the documentation on Read the Docs:
http://telluric.readthedocs.io/en/v0.1.0/
And browse the source on GitHub (contributions welcome!)
https://github.com/satellogic/telluric
For a set of notebooks meant to illustrate uses of the library with
Satellogic data, check out this repository:
https://github.com/satellogic/open-impact/
Let us know if you have any questions or feedback!
--
*Juan Luis Cano Rodríguez |* Senior Python Developer
+34 646 515 050
Carrer d'Àvila 48
1st Floor, Suite 5
Barcelona
Hi all,
It fills us with astronomical joy to announce the release of *poliastro
0.9.0*! 🚀
poliastro is a pure Python library that allows you to simulate and analyze
interplanetary orbits in a Jupyter notebook in an interactive and easy way,
used in academia and the industry by people from all around the world. You
can install it using pip or conda:
pip install poliastro
conda install poliastro --channel conda-forge
This release brought many visualization improvements, and most specially
new propagators and perturbation forces. The new propagators have better
convergence properties so you should see fewer errors, and the new
perturbation forces are extremely cool to simulate non-Keplerian orbits.
You can read a brief example in the documentation:
http://docs.poliastro.space/en/v0.9.0/user_guide.html#accounting-non-kepler…
On the other hand, we are very excited with all the good news about the
project: one student will be working full time as part of the Google Summer
of Code, and we will present the library in the upcoming Python in
Astronomy workshop in New York, USA. You can read the full release notes in
the documentation:
http://docs.poliastro.space/en/v0.9.0/changelog.html#poliastro-0-9-0-2018-0…
If you want to know more, don't miss my talk on the Open Source Cubesat
Worshop held at the European Space Operations Centre:
https://youtu.be/KnoYzqAw_vM?t=1h36m14s
Please come and join our chat on Matrix/Riot and feel free to ask any
questions you might have:
https://riot.im/app/#/room/#poliastro:matrix.org
Per Python ad astra!
--
Juan Luis Cano
What is cx_Oracle?
cx_Oracle is a Python extension module that enables access to Oracle
Database for Python 3.x and 2.x and conforms to the Python database API 2.0
specifications with a number of enhancements.
Where do I get it?
https://oracle.github.io/python-cx_Oracle
The easiest method to install/upgrade cx_Oracle is via pip as in
python -m pip install cx_Oracle --upgrade
What's new?
This release addresses a number of issues and bug fixes. The changes needed
to support DML Returning with cursor.executemany() required a new point
release since the attribute dml_ret_array_val in the cx_Oracle.__future__
object needs to be set in order for it to work correctly. Setting it
changes the behavior for DML Returning statements with cursor.execute() as
well and will become the new behavior in cx_Oracle 7. See the release notes
for more information.
http://cx-oracle.readthedocs.io/en/latest/releasenotes.html#version-6-3-apr…
Please provide any feedback via GitHub issues (
https://github.com/oracle/python-cx_Oracle/issues).