Shawn Wildermuth of The Hello World film discusses diversity and inclusivity in software development. Host Felienne  spoke with Wildermuth about why diversity matters to make better software, and how teams can create a culture in which more people feel welcome and safe. They also discuss how to do code reviews, feedback sessions and job interviews […]

Joocelyn hosts the Git Cute podcast, which you can find here. She's working on a book about seniority in the software industry, which you can pre-order here. You can follow her on Twitter at javavvitch. Our lifeboat badge goes to LMc for explaining how one can: Count the Letter Frequency in a String with Python

* RachellCalhoun.com * DjangoGirls.org * GitHub profile * Toptal scholarship winner * Django Girls new leadership * DjangoCon US 2016: Git in Control, Version Control and How it Could... by Rachell CalhounSupport the Show This podcast is a labor of love and does not have any ads or sponsors. To support the show, consider purchasing or recommending a book from LearnDjango.com or signing up for the free weekly Django News newsletter.

Computational notebooks — such as Jupyter and Databricks — have soared in popularity with data scientists thanks to the ease with which text, visualizations and code can be combined on a living document. But what works for the data scientist doesn’t always fit with developers’ needs. Productionizing notebooks is fraught with perils. Our podcast team explores how to use computational notebooks most effectively.

This week, four of the podcast’s greatest hosts come together to celebrate all of the fun and informative episodes we’ve been privileged to do this year! Join Mark Mirchandani, Jon Foust, Priyanka Vergadia, and Brian Dorsey as we talk about our favorite guests and shows, some cool things that happened this year, and what we’re looking forward to in 2021! Cool things of the week * A Giant List of Google Cloud Resources blog * Google Cloud 4 Words site Our favorite episodes * Jon’s Favorites * GCP Podcast Episode 212: Data Management with Amy Krishnamohan podcast * GCP Podcast Episode 237: NVIDIA with Bryan Catanzaro podcast * Priyanka’s Favorite * GCP Podcast Episode 240: reCAPTCHA Enterprise with Kelly Anderson + Spring ML Potholes with Eric Clark podcast * Mark’s Favorites * GCP Podcast Episode 242: NASA and FDL with James Parr and Madhulika Guhathakurta podcast * GCP Podcast Episode 217: Cost Optimization with Justin Lerma and Pathik Sharma podcast * GCP Podcast Episode 228: Fastly with Tyler McMullen podcast * Brian’s Favorites * GCP Podcast Episode 223: Voice Coding with Emily Shea and Ryan Hileman podcast * GCP Podcast Episode 233: Bare Metal Solution with James Harding and Gurmeet Goindi podcast * GCP Podcast Episode 212: Data Management with Amy Krishnamohan podcast Sound Effects Attribution * “Bad Beep” by RicherLandTV of Freesound.org * “Small Group Laugh 6” by Tim.Kahn of Freesound.org * “It’s Always Night in Space” by JamesSilvera of HDInteractive.com * “Easy Cheesy” by LoboLoco of FreeMusicArchive.org

MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization. In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube).

Continuous integration and continuous delivery are both terms we have heard, but what do they really mean? What does CI/CD look like when done well? What are some pitfalls we might want to avoid? In this episode Jérôme and Marko, authors of the book “CI/CD with Docker and Kubernetes” join us to share their thoughts.

This month we are speaking with Connel Gauld from Zappar about Augmented Reality. Connel is an AR genius and blows our mind with details on how AR works under the hood and how it's easy for anyone to make AR apps and websites. AR is the next great platform, so it's good to get in early. Give it a listen and tell us what you built! Show notes: https://www.programmingthrowdown.com/2020/11/episode-106-augmented-reality-with.html Teamistry: https://link.chtbl.com/teamistry?sid=podcast.throwdown

We discuss all things open-source, leaving Michael and Joe to hold down the fort while Allen is away, while Joe's impersonations are spot on and Michael is on a first name basis, assuming he can pronounce it.

Rust and Golang are two of the newest lower level languages for doing systems programming. They are often used for applications such as file systems, operating systems, and latency-sensitive applications. How do they compare in terms of safety, speed, and programming ergonomics? Linhai Song is an assistant professor and researcher at Penn State University, and joins the show to talk about his work researching Go and Rust. Sponsorship inquiries: sponsor@softwareengineeringdaily.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Sponsored by Linode! pythonbytes.fm/linode Special guest: Ogi Moore Watch the live stream on YouTube. Michael #1: diskcache * via Ian Maurer * Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python. * The cloud-based computing of 2020 puts a premium on memory. Gigabytes of empty space is left on disks as processes vie for memory. * Among these processes is Memcached (and sometimes Redis) which is used as a cache. * Wouldn't it be nice to leverage empty disk space for caching? * Features: * Pure-Python * Fully Documented * Benchmark comparisons (alternatives, Django cache backends) * 100% test coverage * Hours of stress testing * Performance matters * Django compatible API * Thread-safe and process-safe * Supports multiple eviction policies (LRU and LFU included) * Keys support "tag" metadata and eviction * Developed on Python 3.8 * Tested on CPython 3.5, 3.6, 3.7, 3.8 * Tested on Linux, Mac OS X, and Windows * Tested using Travis CI and AppVeyor CI Brian #2: TOML is 1.0.0 now. * What does that mean for Python? * Hopefully, some kind of toml parser will make it into Python core. * Any Python access to 1.0.0? Mixed * Implementations and TOML version support page lists: * pytomlpp supports 1.0.0-rc.3, which is a wrapper around C++ tomlplusplus, which does support 1.0.0. Confusing * tomlkit supports 1.0.0-rc.1, so that’s promising * toml supports 0.5.0, great name. It’d be cool if it would support 1.0.0 * What’s different between 0.5.0 and 1.0.0? * Unless I’m mistaken, not much: CHANGELOG * 1.0.0-rc1 * Leading zeroes in exponent parts of floats are permitted. * Allow raw tab characters in basic strings and multi-line basic strings. * Allow heterogenous values in arrays. * Other than that, lots of “Clarify …”, which I’m not sure how those all affect implementation. * I’d love to hear more from people who know more about this Ogi #3: pyqtgraph * pyqtgraph - plotting library, for when you need fast/interactive plots * Uses qt5 (and soon qt6) bindings to generate plots within Qt applications * Fills a niche role, want easy mouse interactivity, running locally on a machine * Often used in engineering/scientific applications when looking at a lot of data, and wanting interactivity Michael #4: Parler + Python = Insurrection in public * via Jim Kring and Mark Little * According to Wikipedia: Parler (/ˈpɑːrlər/) is an American alt-tech microblogging and social networking service. Parler has a significant user base of Donald Trump supporters, conservatives, conspiracy theorists, and right-wing extremists. * ArsTechnica article send in by Mark Little * Ars: Parler’s amateur coding could come back to haunt Capitol Hill rioters * Coding mess * A key reason for her success: Parler’s site was a mess. Its public API used no authentication. * When users deleted their posts, the site failed to remove the content and instead only added a delete flag to it. * Oh, and each post carried a numerical ID that was incremented from the ID of the most recently published one. * Another amateur mistake was Parler’s failure to scrub geolocations from images and videos posted online. * Some 80 terabytes of posts, 1M videos, many already deleted, preserved for posterity. * Catalog and Python pointed out by Shaun King. * See the catalog (maybe, it’s the ugly side of people). * The gist: https://gist.github.com/kylemcdonald/d8884da1a82ef50754ee49e0b6561071 * Partially back online with Russian hosting service? Brian #5: Best-of Web Development with Python * Suggested by Douglas Nichols * Cool list with nice icons * Covers * Frameworks, HTTP Clients, Servers * Auth tools, HTML Processing, URL utilities * OpenAPI, GraphQL, Websocket * RPC, Serverless, Content Management * Web Testing, Web Forms, Markdown * Third-party APIs * Email, Web Scraping & Crawling, Monitoring * Admin UI * API Proxies * Flask/FastAPI/Pyramid/Django Utilities * Nice to see lots of FastAPI projects: * fastapi-sqlalchemy - Adds simple SQLAlchemy support to FastAPI. * fastapi-plugins - FastAPI framework plugins. * fastapi_contrib - Opinionated set of utilities on top of FastAPI. * starlette_exporter - Prometheus exporter for Starlette and FastAPI. * fastapi-utils - Reusable utilities for FastAPI. * fastapi-code-generator - This code generator creates FastAPI app from an.. * slowapi - A rate limiter for Starlette and FastAPI. * fastapi-versioning - api versioning for fastapi web applications. * fastapi-react - Cookiecutter Template for FastAPI + React Projects. Using.. * fastapi_cache - FastAPI simple cache. Ogi #6: Assorted * Pyjion - https://github.com/tonybaloney/Pyjion a JIT extension for CPython that compiles python code using .NET 5 CLR * CuPy - NumPy compatible multi-dimensional array on CUDA, uses _``*array_function_* (enabled with numpy 1.17) code using numpy to operate directly on CuPy arrays * see NEP-18 and CuPy docs * compatible with other libraries as well Extras: Michael: * Trying Firefox + Brave + VPN * Python Web Conf 2021 call for talks, due Jan 29, I’ll be speaking! * PyCon US 2021 launched call for proposals: * December 22, 2020 — Call for proposals opened * February 12, 2021 — Proposals are due * March 16, 2021 — Notifications will be sent to presenters * March 23, 2021 — Deadline for speakers to confirm participation * March 30, 2021 — Schedule is publicly released * April 28, 2021 — Deadline to submit pre-recorded presentation (tutorials will be live) * May 12-13, 2021 — Tutorial days * May 15-16, 2021 — Conference days * Apple launching Racial Equity and Justice Initiatives with partners across a broad range of industries and backgrounds — from students to teachers, developers to entrepreneurs, and community organizers to justice advocates Brian: * PyCascades 2021 schedule https://2021.pycascades.com/program/schedule/ Ogi: * Anthony Explains Video Series * Learn X in Y minutes * Reading Working in Public by Nadia Eghbal - provides some sanity checks for existing maintainers, might be a fantastic perspective for new contributors to open source Joke Tech Support, 2x Working at the help desk? Get the theme song: Here to help song And help by chat: * "Running a successful open source project is just Good Will Hunting in reverse, where you start out as a respected genius and end up being a janitor who gets into fights." - Byrne Hobart

Event Modeling was coined by Adam Dymitruk by building on long-running process specifications that Greg Young used in CQRS/ES systems. Scott sits down with Adam to understand this process and how it make make your systems - and your life making those systems - easier to write, understand, and maintain. * https://eventmodeling.org/about/

If you think hard work is enough to guarantee success, you haven’t been listening. All season long, we’ve profiled Black inventors who haven’t quite been given their due. Arlan Hamilton is helping reverse that trend by leveling the playing field—and changing the venture capital game. Arlan Hamilton’s story mirrors many we’ve covered this season—overcoming adversity to find success. But she’s also helping redefine what success can look like and, in the process, is helping change the broader tech industry. Janice Omadeke lays out how diversifying the VC community in turn leads to greater diversity among founders receiving funding. Ramona Ortega explains how traditional VC priorities often pass over startups that can be successful. And Scott Myers-Lipton discusses inequality in Silicon Valley (and beyond) and how he’s working to bring about lasting change. If you want to read up on more of our research on Arlan Hamilton, you can check out all our bonus material over at redhat.com/commandlineheroes. Follow along with the episode transcript. If you want to hear more from Arlan, check out her podcast: "Your First Million"." It's about how different people became portfolio companies at Backstage Capital.

One of the common complaints about Python is that it is slow. There are languages and runtimes that can execute code faster, but they are not as easy to be productive with, so many people are willing to make that tradeoff. There are some use cases, however, that truly need the benefit of faster execution. To address this problem Kevin Modzelewski helped to create the Pyston intepreter that is focused on speeding up unmodified Python code. In this episode he shares the history of the project, discusses his current efforts to optimize a fork of the CPython interpreter, and his goals for building a business to support the ongoing work to make Python faster for everyone. This is an interesting look at the opportunities that exist in the Python ecosystem and the work being done to address some of them.

Facebook routinely deploys recommendation systems and predictive models that affect the lives of billions of people everyday. That kind of reach comes with great responsibility — among other things, the responsibility to develop AI tools that ethical, fair and well characterized. This isn’t an easy task. Human beings have spent thousands of years arguing about what “fairness” and “ethics” mean, and haven’t come close to a consensus. Which is precisely why the responsible AI community has to involve as many disparate perspectives as possible in determining what policies to explore and recommend — a practice that Facebook’s Responsible AI team has applied itself. For this episode of the podcast, I’m joined by Joaquin Quiñonero-Candela, the Distinguished Tech Lead for Responsible AI at Facebook. Joaquin has been at the forefront of the AI ethics and fairness movements for years, and has overseen the formation of Facebook’s responsible AI team. As a result, he’s one of relatively few people with hands-on experience making critical AI ethics decisions at scale, and seeing their effects. Our conversation covered a lot of ground, from philosophical questions about the definition of fairness, to practical challenges that arise when implementing certain ethical AI frameworks.

Welcome to the year-end episode. Today is all the bonus questions. Often times I have questions that I want to ask guests, but they don't quite fit the overall theme of the episode. So today we're going to do a whole episode of those extra questions. I have previously recorded questions for Brian Kernaghan, the creator of AWK among many other things. I have questions for Sean Allen, who works at Microsoft Research, and a couple of other people. Episode Page: http://corecursive.com/060-2020-year-end Slack Channel: https://rebrand.ly/corec_slack Twitter: https://twitter.com/adamgordonbell

Visual Testing has come a long way from the early days of x,y mouse clicks and pixel comparisons. Angie Jones joins the show to discuss how modern visual testing tools work and how to incorporate visual testing into a complete testing strategy. Some of the discussion: Classes of visual testing: problems with pixel to pixel testing DOM comparisons, css, html, etc. AI driven picture level testing, where failures look into the DOM to help describe the problem. Where visual testing fits into a test strategy. Combining "does this look right" visual testing with other test workflows. "A picture is worth a thousand assertions" - functional assertions built into visual testing. Baselining pictures in the test workflow. Also discussed: - automation engineer - Test Automation University Special Guest: Angie Jones.

Simon takes you through more updates and new things to explore! Chapters: 01:03 AWS Marketplace, 01:43 Analytics, 12:03 Application Integration, 13:41 Block Chain, 14:06 Business Applications, 14:16 Compute, 17:37 Cost Management, 18:09 Customer Engagement, 18:33 Database, 20:46 Developer Tools, 22:07 End User Computing, 22:33 Game Tech, 22:50 Internet of Things (IoT), 25:33 Machine Learning, 26:39 Management & Governance, 31:43 Migration & Transfer, 32:10 Mobile, 32:47 Networking & Content Delivery, 37:14 Quantum Technologies, 37:36 Security, Identity and Compliance, 39:22 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/420ExtendedShownotes.html