From kevinckw at gmail.com  Mon Oct  1 12:31:14 2018
From: kevinckw at gmail.com (Kevin Chow)
Date: Mon, 1 Oct 2018 09:31:14 -0700
Subject: [Baypiggies] Test Automation with Python
Message-ID: <CAFyj46Xwq2T8WMLXKCB3foS7ByV7nvyTnk_Vi4EKPq9vV2P5eQ@mail.gmail.com>

Hi all,

I'd like to know if anyone is working with PyTest, Selenium, and Appium
(with Python).

I'm trying to pick it up and build some hands on experience.

Thanks,

-- 
Kevin Chow =)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/baypiggies/attachments/20181001/15010102/attachment.html>

From glen at glenjarvis.com  Mon Oct  1 12:26:57 2018
From: glen at glenjarvis.com (Glen Jarvis)
Date: Mon, 01 Oct 2018 16:26:57 +0000
Subject: [Baypiggies] Test Automation with Python
In-Reply-To: <CAFyj46Xwq2T8WMLXKCB3foS7ByV7nvyTnk_Vi4EKPq9vV2P5eQ@mail.gmail.com>
References: <CAFyj46Xwq2T8WMLXKCB3foS7ByV7nvyTnk_Vi4EKPq9vV2P5eQ@mail.gmail.com>
Message-ID: <V8bpmzi0QX4jJYAy5Hn7u4sK8JMnp0I99_h62QX3rQMhSfpvo3cMuHuOEt5eFi5D9Vnjf36bJQ7fh17VIa7_1Lcrmi_LCmn0aQ8YddjiVOA=@glenjarvis.com>

Although this doesn't answer your question directly, have you considered this online resource:

https://www.obeythetestinggoat.com

Sent from ProtonMail mobile

-------- Original Message --------
On Oct 1, 2018, 9:24 AM, Kevin Chow wrote:

> Hi all,
>
> I'd like to know if anyone is working with PyTest, Selenium, and Appium (with Python).
>
> I'm trying to pick it up and build some hands on experience.
>
> Thanks,
>
> --
>
> Kevin Chow =)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/baypiggies/attachments/20181001/fb66cbd2/attachment.html>

From kevinckw at gmail.com  Mon Oct  1 12:38:20 2018
From: kevinckw at gmail.com (Kevin Chow)
Date: Mon, 1 Oct 2018 09:38:20 -0700
Subject: [Baypiggies] Test Automation with Python
In-Reply-To: <V8bpmzi0QX4jJYAy5Hn7u4sK8JMnp0I99_h62QX3rQMhSfpvo3cMuHuOEt5eFi5D9Vnjf36bJQ7fh17VIa7_1Lcrmi_LCmn0aQ8YddjiVOA=@glenjarvis.com>
References: <CAFyj46Xwq2T8WMLXKCB3foS7ByV7nvyTnk_Vi4EKPq9vV2P5eQ@mail.gmail.com>
 <V8bpmzi0QX4jJYAy5Hn7u4sK8JMnp0I99_h62QX3rQMhSfpvo3cMuHuOEt5eFi5D9Vnjf36bJQ7fh17VIa7_1Lcrmi_LCmn0aQ8YddjiVOA=@glenjarvis.com>
Message-ID: <CAFyj46WuTTDTLp0LTG7OowD5S15X5krXd1+=D3krbOdF9wt=hg@mail.gmail.com>

Thanks, Glen!

The purpose of the email was to connect with those working with those and
pick up your brain later.

If you have any learning resources recommendation, always welcome. :)

Thanks,

Kevin


On Mon, Oct 1, 2018 at 9:27 AM Glen Jarvis <glen at glenjarvis.com> wrote:

> Although this doesn't answer your question directly, have you considered
> this online resource:
>
>
> https://www.obeythetestinggoat.com
>
>
> Sent from ProtonMail mobile
>
>
>
> -------- Original Message --------
> On Oct 1, 2018, 9:24 AM, Kevin Chow < kevinckw at gmail.com> wrote:
>
>
> Hi all,
>
> I'd like to know if anyone is working with PyTest, Selenium, and Appium
> (with Python).
>
> I'm trying to pick it up and build some hands on experience.
>
> Thanks,
>
> --
> Kevin Chow =)
>
>

-- 
Kevin Chow =)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/baypiggies/attachments/20181001/def6630b/attachment.html>

From dustin.grady at protonmail.com  Mon Oct  1 13:23:13 2018
From: dustin.grady at protonmail.com (Dustin Grady)
Date: Mon, 01 Oct 2018 17:23:13 +0000
Subject: [Baypiggies] Test Automation with Python
In-Reply-To: <CAFyj46Xwq2T8WMLXKCB3foS7ByV7nvyTnk_Vi4EKPq9vV2P5eQ@mail.gmail.com>
References: <CAFyj46Xwq2T8WMLXKCB3foS7ByV7nvyTnk_Vi4EKPq9vV2P5eQ@mail.gmail.com>
Message-ID: <4v-0LHLDOM2yevTb08ecM95t_6kMAEkYuJis81H6AuhLqRuI7KQN_438M8tMkWrZsPDyyBfhxwZT4AwJ3DB4I16q7Y1Dnt-u3JJoDLnQrQs=@protonmail.com>

I would also be interested in learning some test automation.

D Grady

??????? Original Message ???????
On Monday, October 1, 2018 9:25 AM, Kevin Chow <kevinckw at gmail.com> wrote:

> Hi all,
>
> I'd like to know if anyone is working with PyTest, Selenium, and Appium (with Python).
>
> I'm trying to pick it up and build some hands on experience.
>
> Thanks,
>
> --
> Kevin Chow =)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/baypiggies/attachments/20181001/b57e82c6/attachment.html>

From kevinckw at gmail.com  Mon Oct  1 14:48:30 2018
From: kevinckw at gmail.com (Kevin Chow)
Date: Mon, 1 Oct 2018 11:48:30 -0700
Subject: [Baypiggies] Test Automation with Python
In-Reply-To: <4v-0LHLDOM2yevTb08ecM95t_6kMAEkYuJis81H6AuhLqRuI7KQN_438M8tMkWrZsPDyyBfhxwZT4AwJ3DB4I16q7Y1Dnt-u3JJoDLnQrQs=@protonmail.com>
References: <CAFyj46Xwq2T8WMLXKCB3foS7ByV7nvyTnk_Vi4EKPq9vV2P5eQ@mail.gmail.com>
 <4v-0LHLDOM2yevTb08ecM95t_6kMAEkYuJis81H6AuhLqRuI7KQN_438M8tMkWrZsPDyyBfhxwZT4AwJ3DB4I16q7Y1Dnt-u3JJoDLnQrQs=@protonmail.com>
Message-ID: <CAFyj46Xy1Uz-Obfjo8dwG=r-kgwE7R4jDCHL215OixDtmnDznw@mail.gmail.com>

To bounce some ideas, I saw this Open Source project and may try to come up
with a port in Python:

https://github.com/SWAutoTester/automateit

Thanks,

Kevin



On Mon, Oct 1, 2018 at 10:23 AM Dustin Grady <dustin.grady at protonmail.com>
wrote:

> I would also be interested in learning some test automation.
>
> D Grady
>
> ??????? Original Message ???????
> On Monday, October 1, 2018 9:25 AM, Kevin Chow <kevinckw at gmail.com> wrote:
>
> Hi all,
>
> I'd like to know if anyone is working with PyTest, Selenium, and Appium
> (with Python).
>
> I'm trying to pick it up and build some hands on experience.
>
> Thanks,
>
> --
> Kevin Chow =)
>
>
>

-- 
Kevin Chow =)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/baypiggies/attachments/20181001/22042167/attachment-0001.html>

From jeffrey.fischer at gmail.com  Thu Oct 11 12:22:08 2018
From: jeffrey.fischer at gmail.com (Jeff Fischer)
Date: Thu, 11 Oct 2018 09:22:08 -0700
Subject: [Baypiggies] This month's meeting: Data Science Night -- Social
 Power, Performance, and Influence in the NBA
Message-ID: <CAPFNg_2SnL3mvDQP-VkJb4A6Dq0xGRBitACdG+WoV9A65soOqw@mail.gmail.com>

*BayPiggies August Meeting*
*Thursday October 25, 2018*
7 pm to 9 pm
LinkedIn, Unify Meeting Room, 950 West Maude Ave, Sunnyvale, CA
<https://goo.gl/maps/tmvzvWGqAfD2>

*RSVP*
Please RSVP at our meetup page:
https://www.meetup.com/BAyPIGgies/events/253961987/

*Speaker:* Noah Gift

*Talk Description*
As the first technical employee and CTO of Sqor Sports, Noah Gift discovers
how social media influences the NBA and vice versa. As a result, Sqor
Sports has been able to grow to millions of monthly active users by
leveraging influencers that were found by machine learning algorithms.

Noah shares his research and lessons learned on how social media and
the NBA intersect and explains how Sqor Sports uses data science and
machine learning to determine NBA team valuation and attendance as well as
individual player performance. You?ll learn how to recreate this research,
working with a set of shared Juypter notebooks, also available in colab
format.

Topics include:
? What drives the valuation of teams (attendance, the local real estate
market, etc.)?
? Does winning bring more fans to games?
? Does salary correlate with social media performance?

*Speaker Bio*
Noah Gift is lecturer and consultant at both UC Davis Graduate School of
Management MSBA program and the Graduate Data Science program, MSDS, at
Northwestern. He is teaching and designing graduate machine learning, AI,
Data Science courses and consulting on Machine Learning and Cloud
Architecture for students and faculty. These responsibilities including
leading a multi-cloud certification initiative for students. He has
published close to 100 technical publications including two books on
subjects ranging from Cloud Machine Learning to DevOps. Gift received an
MBA from UC Davis, a M.S. in Computer Information Systems from Cal State
Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis
Obispo.

He has worked in roles ranging from CTO, General Manager, Consulting CTO,
Consulting Chief Data Scientists and Cloud Architect. This experience has
been with a wide variety of companies including ABC, Caltech, Sony
Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios
and Linden Lab. In the last ten years, he has been responsible for shipping
many new products at multiple companies that generated millions of dollars
of revenue and had global scale. Currently he is consulting startups and
other companies, on Machine Learning, Cloud Architecture and CTO level
consulting as the founder of Pragmatic AI Labs. His most recent book is
Pragmatic AI: An introduction to Cloud-Based Machine Learning.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/baypiggies/attachments/20181011/798d214d/attachment.html>

From jeffrey.fischer at gmail.com  Thu Oct 25 10:49:35 2018
From: jeffrey.fischer at gmail.com (Jeff Fischer)
Date: Thu, 25 Oct 2018 07:49:35 -0700
Subject: [Baypiggies] Tonight's meeting: Data Science Night - Social Power,
 Performance, and Influence in the NBA
Message-ID: <CAPFNg_1XGPk5cngaA7YUqsAv0U0v=8qWYGcYkegOm-OxxwiYmQ@mail.gmail.com>

*BayPiggies August Meeting*
*Thursday October 25, 2018*
7 pm to 9 pm
LinkedIn, Unify Meeting Room, 950 West Maude Ave, Sunnyvale, CA
<https://goo.gl/maps/tmvzvWGqAfD2>

*RSVP*
Please RSVP at our meetup page:
https://www.meetup.com/BAyPIGgies/events/253961987/

*Speaker:* Noah Gift

*Talk Description*
As the first technical employee and CTO of Sqor Sports, Noah Gift discovers
how social media influences the NBA and vice versa. As a result, Sqor
Sports has been able to grow to millions of monthly active users by
leveraging influencers that were found by machine learning algorithms.

Noah shares his research and lessons learned on how social media and
the NBA intersect and explains how Sqor Sports uses data science and
machine learning to determine NBA team valuation and attendance as well as
individual player performance. You?ll learn how to recreate this research,
working with a set of shared Juypter notebooks, also available in colab
format.

Topics include:
? What drives the valuation of teams (attendance, the local real estate
market, etc.)?
? Does winning bring more fans to games?
? Does salary correlate with social media performance?

*Speaker Bio*
Noah Gift is lecturer and consultant at both UC Davis Graduate School of
Management MSBA program and the Graduate Data Science program, MSDS, at
Northwestern. He is teaching and designing graduate machine learning, AI,
Data Science courses and consulting on Machine Learning and Cloud
Architecture for students and faculty. These responsibilities including
leading a multi-cloud certification initiative for students. He has
published close to 100 technical publications including two books on
subjects ranging from Cloud Machine Learning to DevOps. Gift received an
MBA from UC Davis, a M.S. in Computer Information Systems from Cal State
Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis
Obispo.

He has worked in roles ranging from CTO, General Manager, Consulting CTO,
Consulting Chief Data Scientists and Cloud Architect. This experience has
been with a wide variety of companies including ABC, Caltech, Sony
Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios
and Linden Lab. In the last ten years, he has been responsible for shipping
many new products at multiple companies that generated millions of dollars
of revenue and had global scale. Currently he is consulting startups and
other companies, on Machine Learning, Cloud Architecture and CTO level
consulting as the founder of Pragmatic AI Labs. His most recent book is
Pragmatic AI: An introduction to Cloud-Based Machine Learning.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/baypiggies/attachments/20181025/86d848e5/attachment.html>

From john at deepsentinel.com  Thu Oct 25 16:06:51 2018
From: john at deepsentinel.com (John martin)
Date: Thu, 25 Oct 2018 13:06:51 -0700
Subject: [Baypiggies] Seeking full-time Python developer for AI startup
Message-ID: <CAKV5njxO8FzV_FpynSagYjC=gUhEyeDObToccFXCB2BEDmziHg@mail.gmail.com>

Hello,

I'm a member of the AI team at Deep Sentinel, a Pleasanton-based startup
that is using AI and Python to disrupt the home security market.  We're
looking for a senior Python engineer to help us develop and deliver our AI
solutions.

The job summary appears below.  Interested candidates can contact me
directly at john at deepsentinel.com.

Best regards,
John

------------------------------------------------------------
---------------------------------------












*Senior Software Engineer (Data Science & Machine Learning)Deep Sentinel is
looking for a talented and passionate Senior Software Engineer to join our
AI team. This is a cross-functional engineering role touching traditional
Data Engineering, Algorithm Engineering and Software
Engineering/Architecture. A desire to learn and grow in a fungible fashion
is key to success for this position.About Deep SentinelDeep Sentinel is a
pioneer in AI and Human-based home protection. We deter criminals and
prevent crime before it takes place with next-gen Artificial Intelligence
and 24/7 Human Surveillance. With Deep Sentinel, Americans can gain a
reliable, cost-effective way to protect their homes and stop a burglary,
mail theft or driveway break-in before it happens ? and feel dramatically
safer at home.Based in Pleasanton, CA, Deep Sentinel was started by an
experienced tech-entrepreneur (with a multi-$billion in sales unicorn under
his belt), we?re a stealth-stage company with top-tier backing, awesome
advisors and a huge market opportunity.What you?ll doYou will be working
with a small AI team (2 PhDs, 1 Master?s) that is using state-of-the-art
computer vision algorithms, deep learning models, Android computing, and
GPU clusters to develop AI solutions which are at the core of our business.
We love to learn new technologies and keep up with current science
journals. You will also work closely with the Software Development Team to
deliver our AI solutions.   - Develop AI production systems in Python-
Develop tests and test infrastructure (we use pytest) for evaluating
algorithms and machine learning systems- Build and support production
systems both in the cloud and on a distributed Android-based edge system-
Build and support Python-based ETL tools to move and manage terabyte-scale
dataExperience and skills we are seeking in the optimal candidate - BS/MS
in Computer Science or similar- Fluent in Python (a self-titled Python
Black Belt) with 4+ years experience in a commercial environment- 3+ years
experience in databases (MySQL, MongoDB, etc.) and DB schema designs,
preferably at TB-scale- Experience in data curation & cleansing (this at
least means that you are not afraid to see dirty data :-))- Familiar with
Linux- Familiar with C/C++ - Familiar with GitHub practices, and
comfortable managing multiple repositories- Familiar with frontend
development technologies such as HTML and JavaScript- Background or
interests in computer vision algorithms and deep learning *
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/baypiggies/attachments/20181025/1d1ed853/attachment.html>