• Project Night at Eventbrite
    SF Python is bringing its Project Night to Eventbrite. It's going to be an evening with about ~150 Python devs getting your questions answered, sharing your knowledge, hacking and taking tutorials. We are thrilled that our sponsor Eventbrite will be offering up their office and Intuit Developer will be covering food! Aside from the usual mentoring and hacking, don't miss: Beginner: Level-up your Python skills via hands-on exercises and code walkthroughs with Wesley Chun, author of Core Python Programming. Intermediate - senior: Learn more about QuickBooks Online APIs and increase your chances of winning Intuit’s Small Business Hackathon* with Nikita Bhambhani, Developer Relations Engineer at Intuit *Did you know Intuit has a Small Business Hackathon coming up on Nov 3-4th 2018 where you can win $5000, cool tech gadgets and other awesome prizes? Come out and chat with their developers to learn more about the Hackathon, Python APIs, form teams, and start thinking about building awesome stuff that matters and makes a difference in the lives of small business worldwide! https://www.smallbizhack.com/ *Please register at https://www.eventbrite.com/e/sf-python-project-night-eventbrite-tickets-51278503384 to expedite your check in. Those without a Eventbrite registration will be asked to register onsite. Who should attend? ==================== • New to Python and want to work with other Pythonistas • Experienced devs who want to hack on your work, personal or open-source projects • Experienced devs who want to mentor others • Anyone that's interested in our tutorial offerings The plan: ========= 6:00p Begin check-in 6:50p Introductions: tell us about your project and/or the kind of help you seek 7:00p Make yourself comfortable and start hacking, or attend one of the tutorials 7:30p Door Close 9:30p Wrap up / Hard Stop Tutorials / Open Spaces offered =============================== Python Level-up: exercises to expand your skillz with Wesley Chun ------------------------------------------------------------------------------------------- AUDIENCE: Developers familiar with Python basics who are interested in solidifying and improving their skills with hands-on exercises and code walkthroughs. DESCRIPTION: Learning Python in an online class, in a book, or through videos is one thing, but there's no substitute for real coding experience. This is crucial, especially for beginners who want to move to the next level. This session starts off with a basic Python review, then moves into simple to moderate hands-on coding challenges where people work together in pairs to develop solutions. Join the author of "Core Python Programming" in doing exercises from the book as well as newly-developed challenges to help take your Python skills to the next level! INSTRUCTOR: Wesley is the author of Prentice Hall's bestselling "Core Python" (corepython.com) series and co-author of "Python Web Development with Django" (withdjango.com). In addition to being an engineer & Developer Advocate for Google Cloud, he runs CyberWeb (cyberwebconsulting.com), a consultancy specializing in Python training. Get the G2 from Intuit's developers to win $5000 or other cool gadgets at Intuit's Small Business Hackathon on Nov 3-4th 2018 - https://www.smallbizhack.com/ ------------------------------------------------------------------------------------------------- Nikita Bhambhani, Developer Relations Engineer at Intuit will show you the Python APIs and answer any questions you might have CHECK-IN PROCESS ==================== • Doors open at 6:00pm. Security will check ID and stop admitting guests at 7:30p. • Please park your bikes on the street. **SF Python is run by volunteers aiming to foster the Python Community in the bay area. Please consider making a donation (https://secure.meetup.com/sfpython/contribute/) to SF Python and saying a big thank you to Eventbrite for providing the venue for this Wed's meetup.

    This Meetup is past

    Eventbrite

    155 5th St (7th Floor) · San Francisco, CA

    10 comments
  • Live coding gradient descent in Python and more!
    On October 10, join ~180 devs at SF Python's presentation night and learn more about how you can use Python to run gradient descent and lots more! Our generous sponsor Yelp will provide pizza and drinks Please get your ticket on ti.to (https://ti.to/sf-python/oct-2018-presentation-night) to attend! PROGRAM Lightning talks Mehrdad Yazdani - Winning a guessing game with Python and Scikit-learn Tim Ansell - FuPy - FPGA MicroPython - Making FPGA SoC creation and usage easy! Short talk(~10 mins + Q&A) Aaron Wiegel - The tyranny of the noise in custom manufacturing Abstract In an automated custom manufacturing environment, the variance of the process can often make it challenging to design experiments to improve the performance of the factory. Namely, the right risk balance needs to be found between the relatively high cost of experiments and potential false negatives. I explain how the data science team at Synthego uses statistical simulations in Python to aid in design of experiments with an appropriate frequency of dog memes. Main talk (~25 mins + Q&A): Gradient Descent, Demystified by Michael Stewart Abstract Gradient descent (GD) is a fundamental optimization algorithm that sounds much scarier than it is. Many users of Scikit-learn et al. can apply GD through these tools, but do not grok what GD is really doing. Other more engineering-oriented practitioners are put off entirely by the seeming complexity. I walk through a live coding practicum (in a RISE Jupyter Notebook slideshow) in which I implement an initial gradient descent algorithm for logistic and linear regression, demonstrating the flexibility of the optimization technique and the decidedly un-scary code required to get our prototype up-and-running. I compare the results of our hand coded algorithm to those generated by Scikit-learn (and the closed-form normal equation, for linear regression) and show equality. The focus of this talk is on the practicum of implementation one’s own GD algorithm, though I review the most important mathematical and theoretical components of GD to ground the practicum for attendees. Mathematical review touches on the nature of gradients, what they are, how they relate to derivates,and how they enable iterative optimization over a parameter space. This talk does not include a formal derivation of, eg, the loss functions used in linear and logistic regression, nor does it require mastery of calculus. Attendees will leave the talk with a better understanding of iterative optimization and a template of their own for implementing GD in Python, should they feel this would enrich their understanding. Bio Stu (Michael Stewart) is a machine learning engineer at Opendoor in San Francisco. Previously, he was a data scientist and engineer at Uber, and an economic researcher at the Federal Reserve Bank of New York. He is a National Science Foundation Graduate Research Fellowship Awardee in Economic Sciences. ** more info on ti.to ticketing page** AGENDA 6:00p - Check-in and mingle, with food provided by our generous sponsor! 7:05p - Welcome 7:30p - Door close 7:10p - Announcements, lightning talks and main talk 8:15p - More mingling 9:30p - Hard stop *SF Python is run by volunteers aiming to foster the Python community in the Bay Area. Please consider making a donation to SF Python and saying a big thank you to Yelp for providing pizza, beer, and the venue for this Wednesday's meetup.* *Yelp sees 89 million mobile users and 79 million desktop users every month. Keeping everything running smoothly requires the best and brightest in the industry. Their engineers come from diverse technical backgrounds and value digital craftsmanship, open-source, and creative problem-solving. They write tests, review code, and push multiple times a day. Come out and talk to them.*

    Yelp

    140 New Montgomery · San Francisco, CA

    3 comments
  • Project Night at Yelp
    SF Python is bringing its Project Night to Yelp. It's going to be an evening with about ~125 Python devs getting your questions answered, sharing your knowledge, hacking and taking tutorials. We are grateful our venue host Yelp will be providing food and drinks for this event. Please register via ti.to by visiting https://ti.to/sf-python/september-project-night-yelp Those without a ti.to registration will be asked to register onsite and be admitted after 6:45pm if we have not met our venue's capacity limit. Who should attend? =================== • New to Python and want to work with other Pythonistas • Experienced devs who want to hack on your work, personal or open-source projects • Experienced devs who want to mentor others • Anyone that's interested in our tutorial offerings The plan: ------------- 6:00p Begin check-in 6:50p Introductions: tell us about your project and/or the kind of help you seek 7:00p Make yourself comfortable and start hacking, or attend one of the tutorials 7:30p Door Close 9:30p Wrap up / Hard Stop Tutorials offered: ================ *Data Science with Pandas* with Nick Schmandt ------------------------------------------------------------------- This tutorial will cover the basics of using pandas for data science. We will give a brief overview of the python fundamentals but those already somewhat familiar with python will probably get the most out of the demonstration. A demo dataset will be provided, and we will walk through the process of loading the data, preprocessing the data, simple analytics, and then finally we will construct a classifier using the sklearn package. You'll need to have Python 3 and the science ecosystem (Jupyter Notebook, Pandas, sklearn, etc) installed to complete the exercises. The easiest way to get all this is to have a recently updated Anaconda installation (https://www.anaconda.com/). You'll also need two data sets: Download https://goo.gl/7Diu95 and https://goo.gl/5tCsbC to your laptop before the tutorial. *Web Scraping for beginners* with Simeon Franklin ----------------------------------------------------------------------- This tutorial for beginner Pythonistas will be an easy introduction to making HTTP requests and processing html with *lxml*. Attendees will learn to write command line programs to extract structured data from web pages. Some Python exposure will help but the tutorial will be accessible to beginners. Please have a working Python3.6 (or greater) installation. If you don't have Python installed I recommend installing Anaconda Python (https://www.anaconda.com/download/). *Writing open source bioinformatics tools* with Reece Hart ---------------------------------------------------------------------------------- Let's discuss whether there's interest in forming a community of volunteers who meet regularly at SFPython Meetup project nights to contribute to the development of open source bioinformatics tools and learn from each other. I'll kick things off with a very brief introduction to biocommons tools, a set of open source tools for bioinformatics. The flagship package, https://github.com/biocommons/hgvs, is used worldwide to accurately communicate biological sequence variants in sequence databases, research publications, and clinical reports. People from many backgrounds can meaningfully contribute to the biocommons tools: documentation and examples, addressing issues, implementing new features, profiling, identifying architectural improvements, and more. Please come hear how you can contribute! CHECK-IN PROCESS ==================== • Doors open at 6:00pm. Please wait outside without blocking the building entrance. Security will check ID and stop admitting guests at 7:30p. • Wait-listed folks or those without a tito registration will be admitted after 6:45pm if we have not met our venue's capacity limit. • Please park your bikes on the street. Hope to see you there!

    This Meetup is past

    Yelp

    140 New Montgomery · San Francisco, CA

    20 comments
  • September's Presentation Night: Going Off Script
    Join SF Python on September 12th for a night of fun talks on using Python and programming for automation and tooling! Please register via (https://ti.to/sf-python/going-off-script-sept-2018), not Meetup RSVP. Those without a ti.to registration by Wed 9/12 9a will need to wait till 6:45p to enter and risk not having any pizza. If you'd like to present a 5 mins Lightning talk or a 10-15 mins Short Talk at a future meetup, please submit your talk ideas [here] (https://goo.gl/forms/THhCxuqAeqA73QF22). Our generous sponsor Optimizely will also be providing food, alcoholic beverages and non-alcoholic beverages for the evening! PROGRAM Lightning talks - About ScriptEd, TBA - Python + G Suite: Learn how to automate Google Sheets, Slides, and Drive, Grant Timmerman - Programming Your Emotions With Improv, Ana Nelson - TBA Announcements from the community! Are you hiring? Are you looking to be hired? Anything else you'd like to share with everyone? ## Short talk(10-15 mins + Q&A): Requester: an HTTP client with next-gen UI, built on top of Requests and Sublime Text, Kyle Bebak Building and consuming web APIs is fundamental for web and mobile development. HTTP clients make working with these APIs a lot easier. Roughly speaking, HTTP clients fall into two categories: GUI apps, like Postman, Insomnia and Paw, and CLI apps like cURL and HTTPie. Requester is an HTTP client for Sublime Text. It combines the managed UI features from GUI clients like collections, request history, env vars, syntax highlighting, request chaining, automated tests, etc, with the speed and flexibility of CLI clients. Everything is text, which means sharing and versioning request collections is trivial. It uses Requests' syntax, which is famed for its power and elegance. It also handles autocompletion for GraphQL queries. I'd like to show how I used a Sublime Text as a development platform for building a new kind of UI that combines the best of GUI and CLI, and makes testing and developing APIs as easy as possible. ## Short talk (10-15 mins + Q&A): 5 Things You Need To Know About Python Logging, Alex Milstead This talk will give people a fundamental understanding of Python's logging, how it works, namespaces, and more. If you're building a library or an application, knowing how to use Python's logging to its full potential is really important. AGENDA 6:00p - Check-in and mingle, with food provided by our generous sponsor! 7:05p - Welcome 7:30p - Door close 7:10p - Announcements, lightning talks and main talk 8:15p - More mingling (and possibly an improv game!) 9:30p - Hard stop

    Optimizely HQ

    631 Howard Street · San Francisco

    7 comments
  • PyBay2018: 3rd Annual SF Bay Area Python Conference
    This August 16-19, join 500+ Bay Area Pythonistas at PyBay2018 (https://pybay.com/), the 3rd annual SF Bay Area regional Python conference in San Francisco, CA. This is by far the most epic production of SF Python's events. Most educational and fun too! Check out our 2017 highlights video: https://www.youtube.com/watch?v=KmB6ODYAYUQ PyBay2018 features: - Incredible speakers like Raymond Hettinger, Simon Willison, Yury Selivanov, Carol Willing, Wesley Chun, Rachel Thomas, Travis Opliphant, Brandon Rhodes and many more! - 9 workshops and 50+ talks on these themes: - Python Fundamentals and Popular Python Libraries - Machine Learning, AI, and All Things Data -DevOps, Automation, and Testing -Dealing with Speed, Scale, and Performance -Hardware Fun and the People Side of Engineering - Hacking, Book Signing, Fun Gadgets show and tell, more talk slots for sign-ups at the conference... - Expo with sponsors that are actively hiring or showcasing dev tools that can make your life easier The full talk list is here: http://bit.ly/PyBay2018TalkList We are also keen on driving Diversity and Inclusion this year (https://pybay.com/diversity-and-inclusion/) Read on to see how you can support us OR apply for scholarships / financial aid to attend! Register NOW before the tickets are sold out! https://ti.to/sf-python/pybay2018 This community conference is made possible by volunteers and amazing sponsors such as: Yelp Bloomberg Hackbright Tempo Automation Shapeshift House Canary Microsoft Linode Mya Sony PlayStation Blameless Cisco

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    UCSF Mission Bay Conference Center

    1675 Owens St · San Francisco

    4 comments
  • Project Night at AdRoll
    SF Python is bringing its Project Night to AdRoll. It's going to be an evening with about ~125 Python devs getting your questions answered, sharing your knowledge, hacking and taking tutorials. If you’d like to offer a tutorial, please tell us what you’d like to teach on https://bitly.com/sfpythontutorial We are grateful our venue host Adroll will be providing food and drinks for this event. Please register using this link https://ti.to/sf-python/ProjectNightAtAdroll to register. Those without a ti.to registration will be asked to register onsite. Who should attend? • New to Python and want to work with other Pythonistas • Experienced devs who want to hack on your work, personal or open-source projects • Experienced devs who want to mentor others • Anyone that's interested in our tutorial offerings The plan: 6:00p Begin check-in 6:50p Introductions: tell us about your project and/or the kind of help you seek 7:00p Make yourself comfortable and start hacking, or attend one of the tutorials 7:30p Door Close 9:30p Wrap up / Hard Stop Tutorials offered: #1 Server Side Rendering React Applications in a Python Environment by Brian Weiser Abstract: This tutorial will go over setting up server-side rendering of a React application while using a Python backend. Instructor Bio: Brian has worked for AdRoll since February on the Activations team. Target audience: Intermediate skills with Python, pip, node.js #2 Introduction to GraphQL and how to do GraphQL queries via Python ~ about 45 mins Abstract: We'll go over GraphQL, how to query data and how to use AdRoll's GraphQL Reporting APIs via Python. Instructor Bio: Aasif Shabbir has been coming to the Bay Area Python meetup's for the last 3.5 years. He got his feet wet with Python working on a Flask app for a work project. He loves to teach and is always down to learn new things. Target audience: New to Python Prereq: Have Python 2.7 installed. We'll provide test logins for using the AdRoll GraphQL reporting APIs. *CHECK-IN PROCESS* • Doors open at 6:00pm. Please wait outside without blocking the building entrance. Security will check ID and stop admitting guests at 7:30p. • Please park your bikes on the street. Hope to see you there! **SF Python is run by volunteers aiming to foster the Python Community in the bay area. Please consider making a donation (https://secure.meetup.com/sfpython/contribute/)

    This Meetup is past

    AdRoll

    2300 Harrison Street · San Francisco

    6 comments
  • Data Engineering Night with a hint of Python attribute assignment
    On July 11th, join ~150 devs at SF Python's presentation night and learn more about how you can use Python to do ETLs with Airflow, Natural Language Processing, and lots more! Please register via (https://ti.to/sf-python/data-engineering-night-with-attribute-assignment), not Meetup RSVP. Those without a registration from by Wed 9a will need to wait till 6:45p to enter and risk not having any pizza left. If you'd like to present a 5 mins Lightning talk or a 10-15 mins Short Talk at this or future meetup, please submit your talk ideas [here] (https://goo.gl/forms/THhCxuqAeqA73QF22). Our generous sponsor Yelp will also provide pizza and beer for this evening. PROGRAM Lightning talks - Using Natural Language Processing to Predict Health Intent on Reddit, Austin Powell ## Short talk(~10 mins + Q&A): Automagic attribute assignment using the __prepare__ method, Henry Chen The __prepare__ method is a relatively obscure feature in Python 3. In this talk we show how to exploit it to make a true Enum type. ## Short talk(~10 mins + Q&A): Imbalanced data, Mehrdad Yazdani One of the challenges in Big Data is that we often seek something rare or something anomalous or unusual. Often these rare cases are of high interest for us to know and discover. Finding fraudulent transactions, suspicious network behavior, or malignant tumors are all examples of finding rare but important events. In this talk we will discuss several popular approaches for finding rare events in highly imbalanced data sets. We will demonstrate many of the approaches (such as sampling techniques, SMOTE, and ADASYN) used in practice with the excellent imbalanced-learn Python package that is the part of the scikit-learn contributor libraries. Finally, we will discuss ideas from deep learning for adapting SMOTE with embedded feature representations. ## Main talk (~20 mins + Q&A): Airflow: Automating ETLs for a Data Warehouse, Natarajan Chakrapani Extract, transform and load (ETL) is a foundational part of data warehousing. Data warehousing is a foundational part of Optimizely. We help others make data driven decisions, so it’s part of our culture to make decisions in the same way. Through a centralized data warehouse and visualization capabilities, everyone at Optimizely is able to make data driven decisions that help grow our business. In this talk, we’ll share our learnings along the way so you can bring them back to your team and make your ETLs a breeze too: Introduction to data warehousing and why it’s important Overview of ETLs in theory and practice How we used this process to build a robust data warehouse Overview of Apache Airflow in theory and practice How we made our lives better with Airflow About Natarajan: Sr. Software engineer at Optimizely, building the data warehouse and driving data enrichments for business systems. AGENDA 6:00p - Check-in and mingle, with food provided by our generous sponsor! 7:05p - Welcome 7:30p - Door close 7:10p - Announcements, lightning talks and main talk 8:15p - More mingling 9:30p - Hard stop **SF Python is run by volunteers aiming to foster the Python community in the Bay Area. Please consider making a donation to SF Python and saying a big thank you to Yelp for providing pizza, beer, and the venue for this Wednesday's meetup. **Yelp sees 89 million mobile users and 79 million desktop users every month. Keeping everything running smoothly requires the best and brightest in the industry. Their engineers come from diverse technical backgrounds and value digital craftsmanship, open-source, and creative problem-solving. They write tests, review code, and push multiple times a day. Come out and talk to them.

    Yelp

    140 New Montgomery · San Francisco, CA

    10 comments
  • Project Night at Holberton School
    SF Python is bringing one of it's largest Project Night for the year to Holberton School. It's going to be an evening with about ~150 Python devs getting your questions answered, sharing your knowledge, hacking and taking tutorials. We are seeking food sponsors for this event. Please get in touch if you'd like to sponsor: http://bit.ly/sfpythonsponsor Please register via our ticketing partner tito: https://ti.to/sf-python/ProjectNightAtHolberton Who should attend? =================== • Beginners new to Python who want to work with other Pythonistas • Experienced devs who want to hack on your work, personal or open-source projects. • Experienced devs who want to mentor others • Anyone that's interested in our tutorial offerings The plan: ========= • 6:00p Begin check-in • 6:50p Introductions: tell us about your project and/or the kind of help you seek • 7:00p Make yourself comfortable and start hacking, or attend one of the tutorials • 7:30p Door Close • 9:30p Wrap up / Hard Stop Tutorials offered: ================ 1) Create a Sales Report with Python with Heather Mahan This tutorial will be an introduction to Python and some programming principles in general (control flow, conditionals), but using file parsing and reading CSVs as a jumping off point. Since many people use excel/google sheets in their jobs or personal life, we'll learn how to read a file like this in Python, and also how to use conditionals, control flow, and functions to create a sales report using Python. Attendees will leave this tutorial with 2 Python scripts that showcase how to process CSV data in Python to create useful reports utilizing beginner-level Python syntax and data structures. Heather is an instructor at Hackbright's full-time software engineering program for women in the South Bay. She herself is a Hackbright alumna with a previous career in tech writing and a master's degree from UCSC in linguistics. She is passionate about making tech accessible to all, especially underserved communities. As a developer, she enjoys working at the intersection of art and code to create playful applications, and her areas of expertise lie in web and game development. 2) Constraint Programming in Python with Alan Velasco In this workshop we will learn how to use the Google OR-Tools (https://github.com/google/or-tools) for Constraint Programming in Python, from solving brainteasers and puzzles to how can it be used to solve complex optimization problems. The class targets intermediate attendees with some Python experience and basic knowledge of CS algorithms. Alan Velasco is an Software Engineering Intern at Twitter working with the Open Source Team to empower every developer in his reach. 3) Build your First Neural Net with PyTorch with Ramesh Sampath 1. Understand PyTorch Tensors and doing Matrix operations 2. Get to know the PyTorch Data Loading pipeline 3. Build a Shallow Feed Forward Neural Network with PyTorch that runs on CPU 4. Talk about how PyTorch integrates with PyData eco-systems like Numpy and Scikit-Learn. Ramesh Sampath is an Machine Learning Engineer working with Deep Learning methods to build models from images and text. He uses Python data tools like Numpy, Scikit-Learn, Pandas and prefer PyTorch over Keras / Tensorflow when building deep learning models. CHECK-IN PROCESS ==================== • Doors open at 6:00pm. Please wait outside without blocking the building entrance. Security will check ID and stop admitting guests at 7:30p. This event is produced by SF Python, a volunteers run organization aiming to foster the Python Community in the Bay Area. Check out our flagship event, PyBay2018, 3rd annual regional Python Conference this August! (https://pybay.com) Venue is through the generosity of Holberton School, a project-based college alternative for the next generation of software engineers. (https://www.holbertonschool.com) Food and drinks are through the generosity of (Your name here)

    This Meetup is past

    Holberton School

    972 Mission Street, 2nd floor · San Francisco, ca

    9 comments
  • Quantum computing, Keras with Pandas, and more!
    On June 13, join ~180 devs at SF Python's presentation night and learn more about how you can use Python to program a quantum computer, make Keras and Pandas play nice, and much more! Please register via (https://ti.to/sf-python/quantum-computing-keras-pandas-and-more), not Meetup RSVP. Those without a registration from by Wed 9a will need to wait till 6:45p to enter and risk not having any pizza left. If you'd like to present a 5 mins Lightning talk or a 10-15 mins Short Talk at this or future meetup, please submit your talk ideas [here] (https://goo.gl/forms/THhCxuqAeqA73QF22). Our generous sponsor Yelp will also provide pizza and beer for this evening. PROGRAM Lightning talks - Ethics for the professional engineer, Karim Hamidou Short talk(~10 mins + Q&A): Keras-Pandas, Brendan Herger Deep learning is great for computer vision and NLP. However, it's hard to get started using tabular data. We'll discuss keras-pandas, a new framework for rapidly building deep learning pipelines for numerical, categorical, and other data types. Main talk (~30 mins + Q&A): Controlling a Quantum Computer with Python, Steven Heidel Building quantum computers presents a number of obvious challenges across theoretical physics, hardware design, and electrical engineering. Less often considered is the enormous amount of new and innovative software that is needed. Compilers that understand quantum programming languages, data analysis tools for making sense of measurements, and high performance device drivers for executing quantum machine instructions are all examples of the new software that is needed to control a quantum computer. In this talk I’ll go over the progress that’s been made so far, where we still need to go, and the large role that Python plays in building that software. About Steven: Steven is a senior software engineer at Rigetti Quantum Computing. He works on building control software for quantum computers and is the maintainer of the open source quantum programming toolkit PyQuil. Prior to Rigetti he was a tech lead at LinkedIn for 3 years where he maintained an open source Scala library for microservice query optimization. AGENDA 6:00p - Check-in and mingle, with food provided by our generous sponsor Zenefits! 7:05p - Welcome 7:30p - Door close 7:10p - Announcements, lightning talks and main talk 8:15p - More mingling 9:30p - Hard stop **SF Python is run by volunteers aiming to foster the Python community in the Bay Area. Please consider making a donation to SF Python and saying a big thank you to Yelp for providing pizza, beer, and the venue for this Wednesday's meetup. **Yelp sees 89 million mobile users and 79 million desktop users every month. Keeping everything running smoothly requires the best and brightest in the industry. Their engineers come from diverse technical backgrounds and value digital craftsmanship, open-source, and creative problem-solving. They write tests, review code, and push multiple times a day. Come out and talk to them.

    Yelp

    140 New Montgomery · San Francisco, CA

    4 comments
  • Weekend hands-on Python workshop for beginners
    For our May’s Project Night, we are going to do something super special for the beginners in our community. We are partnering with Holberton School (https://www.holbertonschool.com/) to offer a weekend-long hands-on Python workshop for the beginners! Feel free to forward this special event to people that you think can benefit! During the weekend workshop, you will learn the basics of Python and programming. Print strings, use variables, conditions and loops and publish your work to Github. Everything will be done using the Linux distribution Ubuntu, so you’ll also learn some command line skills. For those who are fast learners, the staff at Holberton School will have advanced tasks for you, so expect to be challenged! Space is limited. You MUST register on tito to attend, not Meetup. (https://ti.to/sf-python/Hands-on-Python-workshop-for-beginners) What to expect: a weekend to understand the fundamentals of Python with a collaborative hands on workshop in Bay Area’s leading coding School. When: 9am to 6pm Saturday June 2 and Sunday June 3. Where: San Francisco, Yerba Buena area. Location in the tito registration link below. Who is this for: anyone who wants to learn Python and has an interest in becoming a full-stack developer. Max number of students: 30. Act soon! Once the slots are filled, they are filled. Cost: $30 per participant. The ticket is non-refundable, all proceeds will go to SF Python to expand our activities and community. The number of seats is limited to 30. Your completed registration with our ticketing partner https://ti.to/sf-python/Hands-on-Python-workshop-for-beginners will confirm your seat. Act soon! Once the slots are filled, they are filled. About SF Python: SF Python is run by volunteers aiming to foster the Python community and ecosystems in the SF Bay Area. Check out our flagship event PyBay2018 (https://pybay.com), the 3rd Annual Regional Python Conference this August 16-19. About our partner: Holberton School is the leading full-stack developer program. The 9 month to 2 year training is free until the students find a job. Fun fact: the school’s pedagogy is focused on learning by doing: no teachers, no formal classes, only projects and collaboration. The top participants will be offered to join Holberton School.

    Needs a location

    8 comments