From shariesk at sundaelectronics.com Fri Aug 20 13:35:20 2021 From: shariesk at sundaelectronics.com (Shari Eskenas) Date: Fri, 20 Aug 2021 10:35:20 -0700 Subject: [Baypiggies] Upcoming book: Learn Python through Nursery Rhymes and Fairy Tales Message-ID: Hi everyone, I wanted to let you know that I'm creating a new Python book for beginners called *Learn Python through Nursery Rhymes and Fairy Tales*. I launched it on Kickstarter: https://www.kickstarter.com/projects/914595512/learn-python-through-nursery-rhymes-and-fairy-tales It translates the classic stories into Python programs and teaches concepts as it explains the code. The sample pages on the Kickstarter site show part of *Goldilocks and the Three Bears* and *The Muffin Man* written as Python programs. I'd be happy to hear any feedback you have! Thank you, Shari Eskenas -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeffrey.fischer at gmail.com Mon Aug 23 21:43:01 2021 From: jeffrey.fischer at gmail.com (Jeff Fischer) Date: Mon, 23 Aug 2021 18:43:01 -0700 Subject: [Baypiggies] Thursday's BayPiggies Meeting: Iterator Lightning Talk and Ray Message-ID: *Thursday August 26th, 2021 7:00 pm to 8:30 pm* We hope you had a great summer! We return for two exciting talks on August 26th: 1. Lightning talk on Iterators from Amish Shah 2. Full talk on Ray from Michael Galarnyk Lightning Talk: Iterators This talk is about iterables and iterators, showing why we use them, how powerful they are, and how you can build your own custom iterators. Speaker Bio: Amish Shah Amish Shah works at Palo Alto Networks as an engineer on the Prisma Cloud product. He has acquired experiences in various software engineering domains: web development, mobile applications, distributed computing, cloud architecture, big data at different startups. Previously, Amish built cloud based and mobile products, enterprise DW/BI and big data systems at Qventus and Kno. Amish holds a Masters in Computer Engineering from University of Texas at Austin. Main Talk: Ray, A System for Parallel and Distributed Machine Learning Distributed computing is becoming the norm, and this trend is driven largely by the computational requirements of machine learning applications. However, building distributed applications today requires tons of expertise. This talk introduces Ray and how it makes it easy to scale your python applications without rewriting them. Speaker Bio: Michael Galarnyk Michael Galarnyk works in Developer Relations at Anyscale, the company behind the Ray Project. In his spare time, he teaches Python based Machine Learning classes through Stanford Continuing Studies and LinkedIn Learning. You can find him on Twitter (https://twitter.com/GalarnykMichael), Medium ( https://medium.com/@GalarnykMichael), and GitHub ( https://github.com/mGalarnyk). Code of Conduct https://baypiggies.net/pages/code_of_conduct.html Interactions online have less nuance than in-person interactions. Please be Open, Considerate and Respectful. Also, please refrain from discussing topics unrelated to the Python community or the technical content of the meeting. *RSVP* We will conduct the meeting via Zoom webinar. Please register in advance at https://stanford.zoom.us/webinar/register/WN_asuXOKn4Tk-JNfB2T1vbLw It would also help us get a sense of the attendance if you RSVP on meetup as well: https://www.meetup.com/BAyPIGgies/events/279051562. Please note that: - You are expected to follow our code of conduct. - The meeting will be recorded and uploaded to our YouTube Channel at a later date. Thanks! -------------- next part -------------- An HTML attachment was scrubbed... URL: From chityala at gmail.com Fri Aug 27 20:05:46 2021 From: chityala at gmail.com (Ravi Chityala) Date: Fri, 27 Aug 2021 17:05:46 -0700 Subject: [Baypiggies] ML courses at the UC Berkeley Extension for Fall 2021 Message-ID: Hello All, Dr. Sridevi Pudipeddi will be teaching two 10-week long courses at the UC Berkeley extension. Due to the 'shelter at home' policy, the class will be held "live online" via Zoom. So anyone from anywhere can join this class. The first course is "Data Science Principles and Practice Using Python". The class will be held every Wednesday from 6:30 - 9:30 pm PST starting from September 1st 2021 to November 4th 2021. The course will cover: defining project goals; collecting, preparing and managing data; building models; evaluating models and results; presenting results using effective data visualization techniques; and deploying models to a production environment. The course will be very hands-on with in-class activity and homework. You will be provided Jupyter notebooks that will contain many examples. To register for the course, visit https://extension.berkeley.edu/search/publicCourseSearchDetails.do?method=load&courseId=49693169 and select section 007. The second course is "Introduction to Machine Learning Using Python". The class will be held every Tuesday from 6:30 - 9:30 pm PST starting from August 31st 2021 to November 2nd 2021. The course will cover most of the popular machine learning algorithms such as Linear Regression, Logistic Regression, SVM, Random Forest, SVD, K-means, KNN, Na?ve Bayes etc. The course will be very hands-on with in-class activity and homework. You will be provided Jupyter notebooks that will contain many examples. To register for the course, visit https://extension.berkeley.edu/search/publicCourseSearchDetails.do?method=load&courseId=30544037 and select section 016. UC Berkeley Extension is accredited by various bodies through the UC Berkeley . Hence, many employers will reimburse the cost of the course. You can email me at chityala at gmail.com if you have any questions. Thanks, Ravi From grace at pybay.com Tue Aug 31 17:49:03 2021 From: grace at pybay.com (Grace Law) Date: Tue, 31 Aug 2021 14:49:03 -0700 Subject: [Baypiggies] Last call for main talks at PyBay - submit today for this outdoors conference with 300+ Pythonistas attending Message-ID: Are you working on something cool in Python and sharing that knowledge can help other developers? Giving a talk advances your career and presentation skills, you know that already. Do you know that talks at PyBay, developer's favorite Python conference in the SF Bay Area gets promoted on SF Python's YouTube channel with *15K* subscribers worldwide? It is a great way for companies to promote their technical challenges and get *visibility in front of the right hires. * More info and pictures of the venue on our blog *There is still time to submit your 25 or 40 mins talk but hurry, you have to do it today - we are picking talks in the evening of Sept 1 (that's Wednesday, tomorrow)* Submit talks now - https://sessionize.com/pybay2021-foodtruck-edition/ So far, we've received a fair bit of talks covering data (that's not to say you shouldn't submit talks on data anymore). However, we can also benefit from more beginner level talks on Python basics or popular general purpose libraries. Something about the new features in Python 3.9 and 3.10 would be really cool too. *If you are thinking of giving a lightning talk, you'll have a bit more time to submit, but why wait?* Submit talks now - https://sessionize.com/pybay2021-foodtruck-edition/ Stay safe and hope to see you *and your entire dev team* on Oct 9! *Our conference is made possible by sponsors such as -* [image: EdgeDB-small.png]If you?re interested in databases, you?ll be amazed at what EdgeDB has done to give you superpowers ? it takes the tools and features you know and love ? declarative schema, interactive migrations, deep querying, introspectability, and more ? and bakes them directly into the database. Yoda says, ?Check them out you must .? Cheers, Grace Law PyBay Conference Chair and SF Python Organizer grace at pybay.com click on a slot on my calendar to schedule a meeting SF Python is a volunteer-run organization aiming to foster the Python Community in the Bay Area. Join us at PyBay, OUTDOOR Python Conference at a cool food truck park in SF this October. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: EdgeDB-small.png Type: image/png Size: 7092 bytes Desc: not available URL: