location_city Online schedule Mar 26th 12:30 - 12:50 PM IST place Zoom people 67 Interested

Some people even say names don't matter. While it is widely held that good naming is one of the most important aspects of programming, is there such a thing as an objectively good name?

As part of a discussion of the philosophy of programming, we'll look at what are the real aims of naming things well, and what considerations we should have in mind when discussing them. We'll have a look at alternatives and what they bring that names do not.

 
 

Outline/Structure of the Talk

rant

Learning Outcome

how to name good

Target Audience

everyone interested in how we think about programming

Video


schedule Submitted 10 months ago

  • Francesco Cesarini
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    Naresh Jain - Important Announcements and Updates

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    We'll go over important updates and announcements. If you've any questions about the conference, like how do I get the videos, etc. this session will help you answer all those questions. So don't miss it.

  • Naresh Jain
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    Naresh Jain - Welcome and Conference Overview

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    Richard Feldman - The Essence of Functional Programming

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    Dean Wampler - Lessons Learned from 15 Years of Scala in the Wild

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  • Magda Stożek
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    Magda Stożek - Property-based testing - let your testing library work for you

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    Magda Stożek
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    Don't ask what you can do for your testing library, ask what it can do for you! So what can it do? It turns out that much more than displaying a nice green and red report. What if we make the library generate the test data? And while we're at it, maybe it could also think of the edge cases for which our code is wrong? Oh, and when it finds them, it should simplify them a bit before returning to us, so that we can quickly identify the root cause of the problem. And repeat that a thousand times, just to be sure. Sounds good? That's exactly what property-based testing has to offer. I'll show how to get started with this kind of testing, using jqwik (https://jqwik.net/) as an example. But isn't it all too good to be true, surely there's some fine print? Of course there is. I'll cover that as well.

  • Michael Snoyman
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    Nikhil Barthwal - Implementing Event-Driven Microservices architecture in Functional language

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    Mey Beisaron - Multiplayer Online Game in Clojure: Attack of the Clones

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    Dave Yarwood - Clojure through the lens of music

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    Dave Yarwood
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  • Daniel Steinberg
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    Daniel Steinberg - Stumbling over State

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    We each follow similar paths into the forest of functional programming. Some languages are better suited than others but we all hit a wall on our way to mastering monads. In this talk, I'll use examples from the Swift programming language to trace our understanding from types  that feel like containers such as Array and Optional to types that definitely don’t such as Reader and State Monads. We’ll learn to perform many magic tricks along the way.

  • Tony Morris
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    Tony Morris - Type-hole development

    Tony Morris
    Tony Morris
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    In this presentation, we will see coding problems, similar to those which can be found at https://github.com/system-f/fp-course/ using the Haskell programming language.

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  • Aaron Hsu
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    Aaron Hsu - DSLs, Architecture, and Structural Design in APL, 3 ways.

    Aaron Hsu
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    Beginning functional and APL programmers often express confusion about how to structure large software projects or larger pieces of code. Both APL and FP have a tendency to highlight their low-level features and de-emphasize system architecture patterns. This can leave programmers with a strong sense of how to write a set of small functions, but with less confidence or skill in designing, recognizing, and implementing more cohesive implicit system architectures that hold these lower level functions together. System architectures serve as a method for constraining the overall design of a system to give direction and focus to lower level implementation requirements. Especially in APL, where system architecture is often best implemented implicitly, it behooves the programmer to understand the ramifications of architecture and to implement them in their own systems. This talk unpacks a number of these "architecture level" questions within the framework of the APL programming language by exploring the same topic through 3 different architectural approaches, each of which has a very distinct flavor, presentation, and impact on the resulting source code. Particular attention is paid to the question of domain-specific languages, their design, and how they can interact with APL as tools for architectural exploration and guidance in APL source trees. 

  • Allister Beharry
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    Allister Beharry - The Z3 SMT solver and functional programming

    45 Mins
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    Satisfiability modulo theories (SMT) solvers are extremely powerful tools that are indispensable in a number of applications of functional programming from mathematical analysis and optimization to computer security to program verification. SMT solvers allow you to determine if certain logical and mathematical formulas are satisfiable or (just as importantly) unsatisfiable in the context of theories like real arithmetic or set theory, and can provide definitive answers to commonly encountered programming problems involving logic, arithmetic, equations, and constraints.

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  • Ben Evans
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    Ben Evans - Do We Really Do FP in Java?

    Ben Evans
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    schedule 10 months ago
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    45 Mins
    Talk
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    Many Java developers believe that FP arrived in Java 8, with the addition of first-class lambda expressions and the Streams API. But is this really true? In this talk, Ben Evans will talk about what FP really is, examine whether Java can really be said to be FP or not - and consider whether things have improved with more recent versions, as well as some possibilities of how we could have done things differently (in another world).

  • Rodrigo Girão Serrão
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    Rodrigo Girão Serrão - Why APL is a language worth knowing

    Rodrigo Girão Serrão
    Rodrigo Girão Serrão
    Consultant
    Dyalog Ltd.
    schedule 10 months ago
    Sold Out!
    45 Mins
    Talk
    Beginner

    “A language that doesn't affect the way you think about programming, is not worth knowing.” ― Alan Perlis, in “Epigrams in Programming”

    Following Alan Perlis's words, this talk will show why APL is a language worth knowing. In other words, I will devote the talk to showcasing characteristics of APL that are likely to, on the one hand, influence the way you use other programming languages, and, on the other hand, understand concepts of computer science.

    By listening to this talk, I hope to convince you that learning a language that is radically different from all the other languages you know isn't harmful. Learning a language that is radically different from all other languages you know won't scatter your knowledge or spread your brain too thin. In fact, learning a language that is radically different from all other languages you know will cement your programming  knowledge, helping you build bridges between topics you didn't even know were connected.

    To drive my point home, we take a closer look at two characteristics of APL: the fact that Boolean values are represented by the integers 0 and 1, and the fact that APL is an array-oriented language. In studying these two things, we draw connections to the traditional if statement and to list comprehensions, deepening our understanding of those.

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