NumFOCUS: Tech-Driven Trading Firm IMC Joins NumFOCUS Corporate Sponsors
Link: https://numfocus.org/blog/tech-driven-trading-firm-imc-joins-numfocus-corporate-sponsors
The post Tech-Driven Trading Firm IMC Joins NumFOCUS Corporate Sponsors appeared first on NumFOCUS.
Link: https://numfocus.org/blog/tech-driven-trading-firm-imc-joins-numfocus-corporate-sponsors
The post Tech-Driven Trading Firm IMC Joins NumFOCUS Corporate Sponsors appeared first on NumFOCUS.
NumFOCUS
Tech-Driven Trading Firm IMC Joins NumFOCUS Corporate Sponsors - NumFOCUS
Continuum Analytics Blog: How PNC Financial Services Leveraged Anaconda to Enable Data Science and Machine Learning Capabilities Across the Company
Link: https://www.anaconda.com/blog/company-blog/pnc-financial-services-leveraged-anaconda-enable-data-science-machine-learning-capabilities-across-company/
As an AI software company passionate about the real-world practice of data science, machine learning, and predictive analytics, we take great pleasure in hearing about the inspiring and innovative way
Link: https://www.anaconda.com/blog/company-blog/pnc-financial-services-leveraged-anaconda-enable-data-science-machine-learning-capabilities-across-company/
As an AI software company passionate about the real-world practice of data science, machine learning, and predictive analytics, we take great pleasure in hearing about the inspiring and innovative way
Anaconda
How PNC Financial Services Leveraged Anaconda to Enable Data Science and Machine Learning Capabilities Across the Company - Anaconda
Learn why PNC chose Anaconda Enterprise as its AI enablement platform.
Bill Ward / AdminTome: Python Custom Logging Handler Example
Link: https://www.admintome.com/blog/python-custom-logging-handler-example/
In this post, I am going to write a Python custom logging handler that will send log entries to a Kafka broker where you can aggregate them to a database.
Pythons logging module gives you very granul
Link: https://www.admintome.com/blog/python-custom-logging-handler-example/
In this post, I am going to write a Python custom logging handler that will send log entries to a Kafka broker where you can aggregate them to a database.
Pythons logging module gives you very granul
AdminTome Blog
Python Custom Logging Handler Example | AdminTome Blog
In this post, I am going to write a Python custom logging handler that will send log entries to a Kafka broker where you can aggregate them to a database.
Matthew Rocklin: High level performance of Pandas, Dask, Spark, and Arrow
Link: https://matthewrocklin.com/blog//work/2018/08/28/dataframe-performance-high-level
This work is supported by Anaconda Inc
Question
How does Dask dataframe performance compare to Pandas? Also, what about
Spark dataframes and what about Arrow? How do they compare?
I get this quest
Link: https://matthewrocklin.com/blog//work/2018/08/28/dataframe-performance-high-level
This work is supported by Anaconda Inc
Question
How does Dask dataframe performance compare to Pandas? Also, what about
Spark dataframes and what about Arrow? How do they compare?
I get this quest
Matthewrocklin
High level performance of Pandas, Dask, Spark, and Arrow
Will Kahn-Greene: Siggen (Socorro signature generator) v0.2.0 released!
Link: http://bluesock.org/~willkg/blog/mozilla/siggen_0_2_0.html
Siggen
Siggen (sig-gen) is a Socorro-style
signature generator extracted from Socorro and packaged with pretty bows and
wrapping paper in a Python library. Siggen generates Socorro-style signatures
f
Link: http://bluesock.org/~willkg/blog/mozilla/siggen_0_2_0.html
Siggen
Siggen (sig-gen) is a Socorro-style
signature generator extracted from Socorro and packaged with pretty bows and
wrapping paper in a Python library. Siggen generates Socorro-style signatures
f
Will's blog
Siggen (Socorro signature generator) v0.2.0 released!
Siggen
Siggen (sig-gen) is a Socorro-style
signature generator extracted from Socorro and packaged with pretty bows and
wrapping paper in a Python library. Siggen generates Socorro-style signatures
fr
Siggen (sig-gen) is a Socorro-style
signature generator extracted from Socorro and packaged with pretty bows and
wrapping paper in a Python library. Siggen generates Socorro-style signatures
fr
Vladimir Iakolev: Video from subtitles or Bob's Burgers to The Simpsons with TensorFlow
Link: https://nvbn.github.io/2018/08/30/simpsons-from-subtitles/
Back in June I’ve played a bit with subtitles and tried to generate a filmstrip,
it wasn’t that much successful, but it was fun. So I decided to try to go deeper and generate a video from
subtitles.
Link: https://nvbn.github.io/2018/08/30/simpsons-from-subtitles/
Back in June I’ve played a bit with subtitles and tried to generate a filmstrip,
it wasn’t that much successful, but it was fun. So I decided to try to go deeper and generate a video from
subtitles.
nvbn.github.io
Video from subtitles or Bob's Burgers to The Simpsons with TensorFlow
Back in June I’ve played a bit with subtitles and tried to generate a filmstrip,
it wasn’t that much successful, but it was fun. So I decided to try to go deeper and generate a video from
subtitl...
it wasn’t that much successful, but it was fun. So I decided to try to go deeper and generate a video from
subtitl...
Mike Driscoll: Python 101: Episode #22 – The datetime / time modules
Link: http://www.blog.pythonlibrary.org/2018/08/30/python-101-episode-22-the-datetime-time-modules/
In this screencast you will learn the basics of Python’s datetime and time modules. If reading is more your thing, then check out the chapter this is based on over at http://python101.pythonlibrary.o
Link: http://www.blog.pythonlibrary.org/2018/08/30/python-101-episode-22-the-datetime-time-modules/
In this screencast you will learn the basics of Python’s datetime and time modules. If reading is more your thing, then check out the chapter this is based on over at http://python101.pythonlibrary.o
py.CheckIO: 7 Strategies For Optimizing Your Code
Link: http://py.checkio.org/blog/7-strategies-for-optimizing-your-code/
You’ve probably heard that Python is a slow language, especially compared to C, C++, and others. But what if I told you that there is a way to improve the performance of your Python programs? Moreo
Link: http://py.checkio.org/blog/7-strategies-for-optimizing-your-code/
You’ve probably heard that Python is a slow language, especially compared to C, C++, and others. But what if I told you that there is a way to improve the performance of your Python programs? Moreo
Py.CheckiO - games for coders
7 Strategies For Optimizing Your Code. python coding challenges - Py.CheckiO
Good code not only works without errors, but also works quickly, without overloading the device on which it’s running. Many programmers don’t think that there is a significant number of places in their code that can (and should) be optimized. In this article…
PyCon.DE & PyData Karlsruhe: PyCon.DE & PyData Karlsruhe 2018 Keynote: Emmanuelle Gouillart
Link: http://de.pycon.org/blog/pyconde-and-pydata-karlsruhe-2018-keynote-emmanuelle-ouillart/
We are very happy to confirm Emmanuelle Gouillart as a keynote speaker for PyCon.DE 2018 & PyData Karlsruhe.
Emmanuelle is a researcher and geek, enthusiastic about physics and glass science, Scienti
Link: http://de.pycon.org/blog/pyconde-and-pydata-karlsruhe-2018-keynote-emmanuelle-ouillart/
We are very happy to confirm Emmanuelle Gouillart as a keynote speaker for PyCon.DE 2018 & PyData Karlsruhe.
Emmanuelle is a researcher and geek, enthusiastic about physics and glass science, Scienti
de.pycon.org
PyConDE & PyData Karlsruhe
German Python & PyData conference. October 24-28, Karlsruhe Germany. PyCon.DE is where Pythonistas in Germany can meet to learn about new and upcoming Python libraries, tools, software and data science.
Codementor: Unit Testing Celery Tasks
Link: https://www.codementor.io/bjoernstiel/unit-testing-celery-tasks-mwlrfpr8t
This post was originally published on Celery. The Missing Blog (https://www.python-celery.com/) on May 1st, 2018.
All source code examples used in this blog post can be found on GitHub: ...
Link: https://www.codementor.io/bjoernstiel/unit-testing-celery-tasks-mwlrfpr8t
This post was originally published on Celery. The Missing Blog (https://www.python-celery.com/) on May 1st, 2018.
All source code examples used in this blog post can be found on GitHub: ...
www.codementor.io
Unit Testing Celery Tasks | Codementor
This post was originally published on Celery. The Missing Blog (https://www.python-celery.com/) on May 1st, 2018.
All source code examples used in this blog post can be found on GitHub: ...
All source code examples used in this blog post can be found on GitHub: ...
PyCharm: PyCharm 2018.1.5
Link: http://feedproxy.google.com/~r/Pycharm/~3/DFpC0PA1AhQ/
For those of you who are still on PyCharm 2018.1, we have a small update with a couple of bug fixes.
In this release, we’ve fixed an issue where unshelving files would create a large number of threads
Link: http://feedproxy.google.com/~r/Pycharm/~3/DFpC0PA1AhQ/
For those of you who are still on PyCharm 2018.1, we have a small update with a couple of bug fixes.
In this release, we’ve fixed an issue where unshelving files would create a large number of threads
PyCharm Blog
PyCharm 2018.1.5
For those of you who are still on PyCharm 2018.1, we have a small update with a couple of bug fixes. In this release, we’ve fixed an issue where unshelving files would create a large number of thre…
Yasoob Khalid: Practical Python Projects Book
Link: https://pythontips.com/2018/07/02/practical-python-projects-book/
Hi everyone! I am super proud to announce that my second book “Practical Python Projects“ is alhamdulillah almost halfway done content-wise. This book is a direct result of a market gap which I found
Link: https://pythontips.com/2018/07/02/practical-python-projects-book/
Hi everyone! I am super proud to announce that my second book “Practical Python Projects“ is alhamdulillah almost halfway done content-wise. This book is a direct result of a market gap which I found
Python Tips
Practical Python Projects Book
Hi everyone! I am super proud to announce that my second book 🎉🎉”Practical Python Projects”🎉🎉 is alhamdulillah almost halfway done content-wise. This book is a direct result of a market…
Python Sweetness: Transmit optimisations in Mitogen 0.3
Link: https://sweetness.hmmz.org/2018-08-30-mitogen-03-xmit.html
An early goal for Mitogen was to
make it simple to retrofit, avoiding any "opinionated" choices likely to cause
needless or impossible changes in downstream code. Despite being internally
asynchronous
Link: https://sweetness.hmmz.org/2018-08-30-mitogen-03-xmit.html
An early goal for Mitogen was to
make it simple to retrofit, avoiding any "opinionated" choices likely to cause
needless or impossible changes in downstream code. Despite being internally
asynchronous
sweetness.hmmz.org
python sweetness — Transmit optimisations in Mitogen 0.3
An early goal for Mitogen was to make it simple to retrofit, avoiding any
John Cook: Drawing Spirograph curves in Python
Link: https://www.johndcook.com/blog/2018/08/30/drawing-spirograph-curves-in-python/
I was looking back over an old blog post and noticed some code in the comments that I had overlooked. Tom Pollard gives the following code for drawing Spirograph-like curves.
import matplotlib.pyplot
Link: https://www.johndcook.com/blog/2018/08/30/drawing-spirograph-curves-in-python/
I was looking back over an old blog post and noticed some code in the comments that I had overlooked. Tom Pollard gives the following code for drawing Spirograph-like curves.
import matplotlib.pyplot
Johndcook
Drawing Spirograph curves in Python
Python code for drawing Spirograph-like curves.
Django Weblog: Django bugfix release: 2.1.1
Link: https://www.djangoproject.com/weblog/2018/aug/31/bugfix-release/
Today we've issued the 2.1.1 bugfix release.
The release package and checksums are available from our downloads page, as well as from the Python Package Index. The PGP key ID used for this release is
Link: https://www.djangoproject.com/weblog/2018/aug/31/bugfix-release/
Today we've issued the 2.1.1 bugfix release.
The release package and checksums are available from our downloads page, as well as from the Python Package Index. The PGP key ID used for this release is
EuroPython: EuroPython 2018: Videos for Thursday available
Link: https://blog.europython.eu/post/177582893492
We are pleased to announce the second batch of cut videos from EuroPython 2018 in Edinburgh, Scotland, UK.EuroPython 2018 YouTube Playlist
In this batch, we have included all videos for Thursday, July
Link: https://blog.europython.eu/post/177582893492
We are pleased to announce the second batch of cut videos from EuroPython 2018 in Edinburgh, Scotland, UK.EuroPython 2018 YouTube Playlist
In this batch, we have included all videos for Thursday, July
EuroPython Blog
EuroPython 2018: Videos for Thursday available
We are pleased to announce the second batch of cut videos from EuroPython 2018 in Edinburgh, Scotland, UK.
EuroPython 2018 YouTube Playlist
In this batch, we have included all videos for Thursday,...
EuroPython 2018 YouTube Playlist
In this batch, we have included all videos for Thursday,...
John Cook: How fast can you multiply matrices?
Link: https://www.johndcook.com/blog/2018/08/31/how-fast-can-you-multiply-matrices/
Suppose you want to multiply two 2 × 2 matrices together. How many multiplication operations does it take? Apparently 8, and yet in 1969 Volker Strassen discovered that he could do it with 7 multiplic
Link: https://www.johndcook.com/blog/2018/08/31/how-fast-can-you-multiply-matrices/
Suppose you want to multiply two 2 × 2 matrices together. How many multiplication operations does it take? Apparently 8, and yet in 1969 Volker Strassen discovered that he could do it with 7 multiplic
John D. Cook | Applied Mathematics Consulting
How fast can you multiply matrices?
It seems it should take on the order of n cubed operations to multiply two matrices of size n, but it's possible to do better.
Made With Mu: Making Mu
Link: https://madewith.mu/mu/users/2018/08/31/making-mu.html
What does software development look like? Here’s a short video / visualisation
of the creation of Mu as told via the interactions, interventions and changes
by developers to Mu’s own source code
hoste
Link: https://madewith.mu/mu/users/2018/08/31/making-mu.html
What does software development look like? Here’s a short video / visualisation
of the creation of Mu as told via the interactions, interventions and changes
by developers to Mu’s own source code
hoste
Made With Mu
Making Mu
What does software development look like? Here’s a short video / visualisation of the creation of Mu as told via the interactions, interventions and changes by developers to Mu’s own source code hosted on GitHub.
Codementor: How to Dockerize a Celery App With Django And RabbitMQ
Link: https://www.codementor.io/bjoernstiel/how-to-dockerize-a-celery-app-with-django-and-rabbitmq-mxlh2wqqm
This post was originally published on Celery. The Missing Blog (https://www.python-celery.com/) on June 12th, 2018.
All source code examples used in this blog post can be found on GitHub: ...
Link: https://www.codementor.io/bjoernstiel/how-to-dockerize-a-celery-app-with-django-and-rabbitmq-mxlh2wqqm
This post was originally published on Celery. The Missing Blog (https://www.python-celery.com/) on June 12th, 2018.
All source code examples used in this blog post can be found on GitHub: ...
Continuum Analytics Blog: Distributed Auto-ML with TPOT with Dask
Link: https://www.anaconda.com/blog/developer-blog/distributed-auto-ml-with-tpot-with-dask/
By Tom Augspurger This work is supported byAnaconda, Inc. This post describes a recent improvement made to TPOT. TPOT is an automated machine learning library for Python. It does some feature engineer
Link: https://www.anaconda.com/blog/developer-blog/distributed-auto-ml-with-tpot-with-dask/
By Tom Augspurger This work is supported byAnaconda, Inc. This post describes a recent improvement made to TPOT. TPOT is an automated machine learning library for Python. It does some feature engineer
Anaconda
Distributed Auto-ML with TPOT with Dask - Anaconda
Read about the latest changes to TPOT, an automated machine learning library for Python, and how libraries can use Dask internally to parallelize workloads for their users.