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49:07 DjangoCon US English 2017

Keynote - Testing in Django

The Django documentation section on testing starts with this: “Automated testing is an extremely useful bug-killing tool for the modern Web developer.” Nobody can argue with that. Testing is an integral part of modern software development, and Ana’s talk will offer an in-depth overview of how the Django testing framework evolved; showcase some common techniques, tools, and best practices; talk about speed improvements; and guide you through a real-world example of testing a Django app. Testing is fun, isn’t it?
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
28:10 DjangoCon US English 2017

Live Long and Refactor

Refactoring major components of a live application with many users can be daunting. The stakes are even higher when the users are paying for your product. This talk covers how to approach building and incrementally deploying a complex refactor. Using a case study, I will walk through what makes major refactors so challenging, what you should avoid, and what can make them easier in the future.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
43:10 DjangoCon US English 2017

The denormalized query engine design pattern

Most web applications need to offer search functionality. Open source tools like Solr and Elasticsearch are a powerful option for building custom search engines… but it turns out they can be used for way more than just search. By treating your search engine as a denormalization layer, you can use it to answer queries that would be too expensive to answer using your core relational database. Questions like “What are the top twenty tags used by my users from Spain?” or “What are the most common times of day for events to start?” or “Which articles contain addresses within 500 miles of Toronto?”. With the denormalized query engine design pattern, modifications to relational data are published to a denormalized schema in Elasticsearch or Solr. Data queries can then be answered using either the relational database or the search engine, depending on the nature of the specific query. The search engine returns database IDs, which are inflated from the database before being displayed to a user - ensuring that users never see stale data even if the search engine is not 100% up to date with the latest changes. This opens up all kinds of new capabilities for slicing, dicing and exploring data. In this talk, I’ll be illustrating this pattern by focusing on Elasticsearch - showing how it can be used with Django to bring new capabilities to your application. I’ll discuss the challenge of keeping data synchronized between a relational database and a search engine, and show examples of features that become much easier to build once you have this denormalization layer in place. Use-cases I explore will include: Finding interesting patterns in your data Building a recommendation engine Advanced geographical search and filtering Reacting to recent user activity on your site Analyzing a new large dataset using Elasticsearch and Kibana.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
42:39 DjangoCon US English 2017

GraphQL in the wild

Since being released by Facebook in 2015, GraphQL has gained a lot of hype for being the best thing since sliced bread and REST APIs. But what is all the hype about and how does GraphQL fare in the real world? As a Django developer who has been using GraphQL in production since September 2017, I will discuss how we have addressed real-world concerns like performance and security. I will also highlight some of the joys of using GraphQL and why we have stopped writing REST APIs for new features. If you have never heard of GraphQL or have never used the Graphene library, have no fear. There will be an overview of what GraphQL is, as well as a demo on how to incorporate it into a Django project using Graphene.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
55:32 DjangoCon US English 2017

Keynote - Anxiety, Self-Advocacy, and Promoting Yourself

Over the last 10 years (and really, her entire life), Tracy’s struggled with anxiety while running her own business, navigating negotiations, and self-publishing several books. This keynote will go through recommendations for keeping your sanity in a dog eat dog world, reducing anxiety, feeling comfortable with negotiation, and above all, being the best advocate for yourself that you can be.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
39:28 DjangoCon US English 2017

Python & Spreadsheets

Spreadsheets are OFTEN terrible. They’re also everywhere! As one of the default forms of data exchange, learning to work with spreadsheets directly via Python can save time and effort. We’ll look at Openpyxl, a library that lets you do just that. We’ll look at at least two different (beginner-friendly)example cases: transforming one spreadsheet into another spreadsheet and converting a spreadsheet into JSON. I’ll also use my experience as a former accountant to highlight some of the issues around reading from and writing to a spreadsheet file and how you might deal with them. You MAY even learn to make new friends and grow the Python community! True Story!
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
29:47 DjangoCon US English 2017

Autopsy of a slow train wreck: The life and death of a Django startup

Everyone knows the story: armed with nothing more than a laptop and a dream, a couple of plucky geeks decide to take on the world: disrupting, innovating, and subverting their way to success. In just a few short months, they take a ramshackle collection of software and turn it into a money-printing factory that enables them to drive off into the sunset in gold-plated Lamborghinis. But it isn’t always like that. In fact, it usually isn’t. Venture Capitalists (VC’s) make their investments betting that 15 out of 20 businesses they invest in will outright fail, 4 will maybe get a payoff, and 1 will be a massive success. We always hear about the 1 - the Facebooks, the Instagrams, the WhatsApps. But we very rarely hear about the 15 that don’t succeed. And that’s only counting the VC-funded companies - there are many other companies that never make it past hobby stage, or live a short, privately funded life on the back of consulting income before being quietly shut down. This is a case study of one such a failure - TradesCloud. What went right? What went wrong? And what you can learn from TradesCloud’s mistakes if you’re contemplating starting a business of your own?
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
44:29 DjangoCon US English 2017

Don't Use My Grid System (or any others)

I built Susy, a Sass grid system that can generate any grid technique you like — but I haven’t used it in years. I’ll show you how various grid systems work, and how to avoid using them. For those few cases where a grid really is required, we’ll talk about the best ways to roll your own, so you’re not relying on a bloated library to make decisions for you. We’ll also look at the new layout toys, from flexbox to CSS Grid, and how to get started with only a few lines of code. When to use floats, CSS Grid, flexbox, custom properties, and other techniques. How to make grid-math simple, and lose the grid-system. How to make existing grid-systems work for you, when you’re stuck with them.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
41:19 DjangoCon US English 2017

Using Django, Docker, and Scikit-learn to Bootstrap Your Machine Learning Project

Reproducible results can be the bane of a data engineer or data scientist’s existence. Perhaps a data scientist prototyped a model some months ago, tabled the project, only to return to it today. It’s now when they notice the inaccurate or lack of documentation in the feature engineering process. No one wins in that scenario. In this talk we’ll walk through how you can use Django to spin up a Docker container to handle the feature engineering required for a machine learning project and spit out a pickled model. From the version controlled Docker container we can version our models, store them as needed and use scikit-learn to generate predictions moving forward. Django will allow us to easily bootstrap a machine learning project removing the downtown required to setup a project and permit us to move quickly to having a model ready for exploration and ultimately production. Machine learning done a bit easier? Yes please!
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
27:02 DjangoCon US English 2017

Understanding JavaScript Libraries via React and the React Ecosystem

After an initial foray into JavaScript in 2011, I actively avoided learning or using JavaScript. Then, in early 2017, JamBon Software took on a project to build a bleeding-edge JavaScript web app in Facebook’s React. Suddenly, I did not have a choice and had to learn JavaScript—versions 5 and 6—as well as Facebook’s React library with the entire JavaScript and React ecosystems behind it. This talk will give developers a framework to analyze the overwhelming number of tools in the JavaScript world by categorizing the types of problems currently being solved. By the end, you’ll walk away with a mental framework of the solutions being built today. We will start by looking at a history of JavaScript. This will allow us to discuss problems that developers need to solve in browsers when interacting with APIs. With a full understanding of the problems, we’ll turn our attention to discussing the types of solutions available and quickly discuss how different libraries like Angular, Vue, Inferno, and Cycle implement these solutions. The talk will then explain how to use React in tandem with Redux to build a tiny website. We will demonstrate how to use tools like Webpack, fetch, Promises, and thunks to enhance React to solve the problems previously discussed. Finally, we’ll end with a review of the material, and consider some of the topics being looked at by Facebook, Google and Microsoft. Outline: Libraries as Systems to Concretize Abstract Thought Understanding the Problem Node, NPM, and Yarn DOM-Focused JavaScript Libraries Understanding React Enhancing React Converting ES6 with Babel or Bublé Aside: Handling types with Immutable.js, Typescript, and Tern Handling Modules with Webpack or Rollup Polyfills for Behavior Replacing XMLHttpRequest with fetch Using Promises and thunks for asynchronous actions React-Router for Single-Page Apps Redux-Forms for User Input Linting with ESLint Testing in 2 minutes React with Django Conclusion Review of Problems Review of Solution Types Break Down: Modules vs Syntax Transformations Performance with InfernoJS Future JS.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
37:14 DjangoCon US English 2017

Accessibility Matters: Creating a Better Web

Overview This talk will go through accessibility concerns on the web through example sites and code with both good and bad accessibility to experience what some users have to struggle with daily. We will cover well-known concerns such as low vision/color blindness and deafness, as well as attention issues and autism, and discuss the limitations and abilities of various alternative input devices that people with motor control issues rely on. Short and long-term fixes will be demonstrated and taught, with the overall goal being that the participants leave knowing how to find and solve accessibility problems. Why Bother With Accessibility Not only should you want everyone to be able to easily use your site, but having an accessible website comes with a variety of benefits. According to the U.S. Census Bureau, around 19% of Americans have a disability, which is a large potential audience for any site. Many companies also fall under accessibility laws they might not even be aware cover their products, with lawsuits becoming more prevalent in recent years, and showing a good faith effort to improve your products’ accessibility can help keep your company out of hot water. Accessible web development also tends to lead to better UX and a happier user base. And, another plus: It will save devs time and frustration when they’re working with the code, since good HTML is enforced. Who This Talk Is For Anyone who wishes to learn more about accessibility. While we won’t be going over the absolute basics of accessibility in detail, the examples and resources will be easy to understand for people with very basic knowledge of web development.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
38:03 DjangoCon US English 2017

Butter smooth, interactive applications with Django and Websockets

Web applications have changed significantly over the years – from simple static pages, to sprinkling interactiveness with JQuery/AJAX, to full dynamic single page apps. Through each evolution, we’re adding more complexity, more data and more asynchronous behavior to our applications. In this new world, where does the synchronous nature of Django’s request-response cycle fit in? My talk will focus on the topics around asynchronous Django applications. I’ll be sharing some lessons we learnt while building and scaling an interactive web application within the confines of Django and django-channels. This topic is interesting because there’s been a lot of interest with meteor-like frameworks that have synchronized state between the frontend and backend. My intention is to show the audience that you can accomplish the same end-result with Django, without the need to learn and deploy a brand new framework. An outline I have in mind: What does asynchrony mean, and why you need it. Traditional methods of achieving asynchrony (delayed jobs using worker queues like celery, long-polling for messaging, etc.) Why django-channels changes the game. How to architect your state. What are the available options for deployment. Gotchas, and what to do when things go wrong. Just a basic knowledge of Django is required, as the topics are transferable to other frameworks. We did not have to monkey-patch any of the drivers to achieve asynchrony, so what you’ll learn at my talk will apply cleanly to a stock Django.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
24:29 DjangoCon US English 2017

Write an API for Almost Anything (or The Amazing Power and Flexibility of Django Rest Framework)

This talk will feature a few off-the-beaten-path applications of APIs. Since the combination of Django and DRF makes it so easy to get a simple API running, it becomes a very powerful, flexible, and expandable tool for a variety of uses. The only thing these applications may have in common is their need to share data across the web. Whether you have not yet tested the waters of Django Rest Framework or you are a DRF veteran, this talk will inspire you to think both big and small when considering its potential uses.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
40:49 DjangoCon US English 2017

DjangoCon US 2017: Lightning Talks Day 2

  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
43:25 DjangoCon US English 2017

Functional Programming in an Imperative World. Maybe

The pillars of FP Let’s start by looking at the core concepts that differentiate FP from the OO / imperative style most programmers are familiar with. Along the way I’ll introduce you to: Immutable data structures. Having data structures that don’t change makes your code safer, especially when dealing with concurrency and parallelism, but they require you to approach solutions in a different way than you would with mutable data. “Pure” functions. Pure, or idempotent, functions do not mutate state or cause other kinds of side effects. As a result, you are guaranteed that every time you call a function with the same parameters, you will always get the same value. Recursion: While recursion is something most of us know about, it’s not something we tend to use often in imperative programming, and with good reason. Nonetheless, it’s a worth knowing about it’s various forms. Function composition. When you have pure functions that handle only one task, you can build larger, more complex and more beneficial programs by composing functions together to form new functions. First class functions: passing around functions as parameters and return values, just like any other object. The holy trinity: map, reduce, filter. These three functions are the work horses of FP, helping us manipulate and transform data quickly and elegantly. FP in python Now, let’s take a look at how we can or cannot apply these concepts in python. While most data structures in python are mutable, tuples are a built in immutable data structure that we have at our disposal. We’ll see that tuples have a solid place in python, but they’re not as easy to work with as we might like. Recursion isn’t really well developed in python (on purpose) so let’s take a look at it’s pitfalls and how to avoid them. Function composition is something you probably already do some in python and perhaps don’t even know it. The trinity: Filter is easy, we just call it “list comprehension” Reduce. Let’s try to get beyond flattening nested lists and doing tricks with math. Map. You probably don’t use this enough in python so let’s see if we can change that. FP is great! Maybe. Now that we’ve seen how FP can be used, we really need to decide if it should be used. Python is not a functional programming language, despite the tools it has. We’ve talked about some of the technical drawbacks to these tools, but we also need to decide if working in an FP paradigm is right for our work environment. We’ll look at some examples of where running into FP can be jarring and talk about the additional cognitive load on co-workers who aren’t used to seeing these tools in place.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
42:19 DjangoCon US English 2017

Alexa...

As the universe of IoT continues to grow at a rapid pace, our abilities to interact with these devices can be useful. As an added bonus, developing these skills can be fun too! I’ll take you through my journey of developing my first Alexa skill in Python for Amazon Echo devices aptly named Happy Days. It is a random quote generator that delivers positive quotes. I’ll go over the skills of how to get Python to talk to Alexa and how to dump that code into Lambda for a seamless delivery between Amazon Web Services and the Alexa Skills Kit in just a little over 200 lines! Never developed an Alexa skill before? Don’t worry, I hadn’t either. I’ll provide plenty of resources to help get you started on a path you’ll never want to leave as an Alexa developer. Building an Alexa skill helps: Further develop your own skills in Python. Gain familiarity with Amazon Web Services’ Lambda service which allows you to run code without provisioning or managing servers. BYOC - Bring your own code! (Python, Node.js, Java, and C#). Gain familiarity with Amazon Web Services CloudWatch service which helps monitor and log activities with your Amazon Web Services resources which is helpful for troubleshooting. Gain familiarity with the Alexa Skills Kit which is the platform behind Alexa development. Learn about tools and resources you can take advantage of to ensure you have a meaningful development experience. Learn how to “talk” to the Alexa Skills Kit through your Python code. Helpful reminder that user experience is key!
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
34:16 DjangoCon US English 2017

DjangoCon US 2017: Lightning Talks Day 1

  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
40:23 DjangoCon US English 2017

Taking Django Distributed

While some code happily lives on a single server forever, most big projects will have to cross the boundary into running both their application and storing their data across multiple systems. The basic strategies are well-known, but we’ll take a look at what to do as you cross the painful threshold where you can’t run your app as a monolith or store everything on a single database server. Among other things, we’ll look at how to split up business logic and application code to run on different servers, how to scale to handle different kinds of web traffic (read-heavy, write-heavy, and long-connections/WebSockets), when and how to make parts of your code not run inline with HTTP processing, strategies for storing data across multiple machines, and how to structure your engineering team to best cope with all these changes. We’ll also look at a few apparently innocuous decisions and the spiral of bad performance they lead to, and how to recognise some of these common problems so you can avoid them yourself in future.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
27:44 DjangoCon US English 2017

Saved you a click (or three): Supercharging the Django admin with actions and views

  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
40:53 DjangoCon US English 2017

Opening Keynote - Is it too late to learn how to program?

Alicia will discuss the challenges she faced as an African American woman in becoming an iOS developer at the age of 51. As a self-taught developer, she created a mobile app dedicated to helping victims escape domestic violence and abuse. She has seen the best and worst of the tech community. As demonstrated by her app, she believes that the tech industry can improve and change lives if we open our arms, embrace change, and think about how women can change the way we see and create apps.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
42:54 DjangoCon US English 2017

The 10 Commandments of Community Organizing

Welcome to the advanced class on community organizing. You’ve got a decent amount of members in your Meetup.com group, you hold events fairly routinely, maybe you’ve pulled in some legit speakers at your last conference or event … and you want to do more. This talk will focus on community organizing for growth and longevity by building out teams, improving communications, implementing processes, and most importantly will discuss how to maintain sanity in your work-life-volunteer balance. If you’ve ever had to answer the question “Oh, this ISN’T your full time job???” - this talk is definitely for you. If you’re just starting out organizing and don’t want to fall flat on your face, this talk will be very pragmatic for you.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
37:36 DjangoCon US English 2017

End-to-End Django on Kubernetes

Not only is Kubernetes a great way to deploy Django and all of its dependencies, it’s actually the easiest way! Really! Deploying multi-layer applications with multiple dependencies is exactly what Kubernetes is designed to do. You can replace pages of Django and PostgreSQL configuration templates with a simple Kubernetes config, OpenShift template or Helm chart, and then stand up the entire stack for your application in a single command. In this presentation, we will walk you through the setup required to deploy and scale Django, including: Replicated PostgreSQL with persistent storage and automated failover Scalable Django application servers Front-ends and DNS routing The templates covered in this presentation should be applicable to developing your own Kubernetes deployments, and the concepts will apply to anyone looking at any container orchestration platform.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
24:15 DjangoCon US English 2017

Django vs Flask

When it comes to web development in Python, Django isn’t the only game in town. Flask is a scrappy young framework that takes a very different approach – whereas Django ships with tons of features ready and eager to be used, Flask provides a bare minimum feature-set with rock-solid extensibility and incredible flexibility. This talk, given by a web developer who has experience with both frameworks, takes a good look at the pros and cons for both Flask and Django. If you’ve ever felt that Django is too hard to learn, or too inflexible, this is the talk for you! Outline What is Flask? Historical background Django vs Flask Ideological differences Example “hello, world” websites Database support Django ORM vs SQLAlchemy, Peewee, etc… Non-relational databases User model django.contrib.auth vs Flask-Login, Flask-Principle Django Admin vs Flask-Admin Django apps vs Flask Blueprints Django REST Framework & comparisons to Flask Which is better? Depends on your use-case.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
29:32 DjangoCon US English 2017

Flourishing FLOSS: Making Your Project Successful

You maintain an Open Source project with great code? Yet your project isn’t succeeding in the ways you want? Maybe you’re struggling with funding or documentation? Or you just can’t find new contributors and you’re drowning in issues and pull requests? Open Source is made up of many components and we are often better-trained in methods for writing good code, than in methods for succeeding in the other dimensions we want our project to grow. In this talk we’ll explore the different components of an Open Source project and how they work together. After this talk you’ll be well-equipped with a ideas and strategies for growing, cultivating, and nourishing your Open Source project. For your project to succeed, all of its non-code components must be well-maintained. What are these different components and what methods can we learn to maintain them? Build real relationships with your sponsors and determine ways how both sides can benefit from this relationship, don’t just ask people for money. Establish a good communication system with your contributors: Keep them informed, listen to their feedback and input, make them feel heard. Thank the people who worked on ticket triage or marketing, not just those who wrote code, in your release notes. Make it easy for new contributors to get started: Write and maintain good documentation, answer questions in a friendly and timely manner. Market and evangelize in the right places and at the right time: Give conference talks, organize sprints, keep your project’s Twitter account active, always curate new and interesting content on your blog or website. Implement a Code of Conduct and enforce it if needed: Make your project a safe space to contribute for everyone. With these methods and a half-dozen others, you’ll handle beautifully all the components your project needs to succeed. Outline Introduction - Who am I? What is this talk about? What is Open Source? Overview of the different components that make up an Open Source project Growing, cultivating, and nourishing your Open Source project - Or how to make your project more successful Operations Funding Marketing Branding Evangelism Documentation Community Diversity Contributors Cultivating new contributors Keeping current contributors happy Communication Efficient and sustainable processes Ticket triage Managing the pull request queue Main takeaways Q&A.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
31:05 DjangoCon US English 2017

Hunter2: A Symphony of Password Horror

The year is 2017. We have hoverboards, jetpacks, solar-powered cars, and also so many awful passwords that it’s become trivial for pretty much anyone to have their accounts compromised. We’ve got passwords for our passwords. Eight-year-olds with a dictionary and a set of dice can generate mathematically stronger passwords than most corporations that have your credit card details. We spend our days wandering through endless forests of requirements to come up with something that contains no more than twelve letters, a special character, the eye of a newt, and at least one uppercase letter, only to be emailed it back in plaintext if you forget it. And then it goes on a Post-It note on a monitor. Do not despair - this talk is here to help! From beginners to experts, all technical folk have the power to build a post-password future. Lilly, an engineer and historian, will guide you through the history of how we got ourselves into this state, and explain why major companies still think that the best way to keep your stuff secure is to poke their heads out of the tree-house and ask you for the secret word. She will then hand you strong technical tools to help your clients and colleagues understand why there are better things out there than “Welcome1!”, and help you work together to bring a small ray of sunshine into our password-saturated world.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
19:49 DjangoCon US English 2017

Going Rogue: How Code.org Created a Curriculum Development Platform Without their Engineers All

As a Middle School computer science teacher, I know enough to be dangerous, but not enough to consider myself a “real” developer. As a member of the curriculum team at Code.org (a nonprofit dedicated to providing all students with access to CS education), I knew that our combination of rendered markdown files and Google docs was far from the most effective way to write and deliver curriculum. If only we could schematize our curriculum writing, I thought, we’d be able to write more consistent lessons with better support for teachers to see which lessons are aligned to which standards, or where a given concept was first taught. When I brought this proposal to our engineering team everyone was excited about the idea, but there was no way we had the bandwidth to actually create it. Our small team of engineers are booked solid building tools for students to learn programming and for teachers to manage their classes. When it comes to the needs of our curriculum writers, we obviously need to come after the students and teachers. But wait, I know how to program. I did the “Two Scoops” tutorial. Why couldn’t I make the tool I had dreamed of? Using Django and Mezzanine as a base, I gradually built a system that allows Code.org curriculum writers to write faster, more consistent, and better supported lessons at a massive scale. Along the way, I also dealt with the very real concerns of my engineering team. How can we be sure this will scale to our 10’s of thousands of teachers? What about our millions of students? How can we be certain that this doesn’t introduce new security vulnerabilities to our site? Are you sure you know what you’re doing here? The answer to all of these problems was surprising simple, and has allowed me to address the needs of our curriculum team without taking the engineering team’s focus away from the customers that really matter - teachers and students. After many months of development, CurriculumBuilder has become an essential internal tool for curriculum writing at Code.org, and continues to find new ways to solve problems that would otherwise go unaddressed. Not bad for a Middle School CS teacher who had never before written software used by others.
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
24:40 DjangoCon US English 2017

Becoming a Polyglot: Lessons from Natural Language Learning

As a trained linguist and former university language instructor, people often assume that my natural language* (spoken, signed, or written) learning analysis background made learning to code easier for me. They might say something like “That makes sense, they’re languages, right? They have syntax.” These casual comments seem true on the surface when talking about parts of speech and variable types. But once you dig deeper, it becomes clear that there are far more differences than similarities between these types of languages despite the shared name. However, many skills and methods I have utilized in learning languages and teaching languages as an adult to adults have served me well as a developer. This talk first addresses key points of divergence between learning a natural language and a programming language. Perhaps most importantly, natural languages are meant for communicating with people and programming languages are meant for giving a computer directions. However, many areas of overlap exist in learning and perfecting these skills; these shared aspects of learning are the primary focus of this talk. (* And, yes, that’s the same ‘natural language’ as in ‘natural language processing.’)
  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
20:38 DjangoCon US English 2017

The shy person's guide to tech conferences

  • Published: 2017
  • Publisher: DjangoCon US
  • Language: English
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Version

AV-Portal 3.8.0 (dec2fe8b0ce2e718d55d6f23ab68f0b2424a1f3f)