- published: 09 Apr 2014
- views: 21705
Stanford University, officially Leland Stanford Junior University, is a private research university in Stanford, California, and one of the world's most prestigious institutions.
Stanford was founded in 1885 by Leland Stanford, former Governor of and U.S. Senator from California and leading railroad tycoon, and his wife, Jane Lathrop Stanford, in memory of their only child, Leland Stanford, Jr., who had died of typhoid fever at age 15 the previous year. Stanford admitted its first students on October 1, 1891 as a coeducational and non-denominational institution. Tuition was free until 1920. The university struggled financially after Leland Stanford's 1893 death and again after much of the campus was damaged by the 1906 San Francisco earthquake. Following World War II, Provost Frederick Terman supported faculty and graduates' entrepreneurialism to build self-sufficient local industry in what would later be known as Silicon Valley. By 1970, Stanford was home to a linear accelerator, and was one of the original four ARPANET nodes (precursor to the Internet).
Computer science is the scientific and practical approach to computation and its applications. It is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems.
Its fields can be divided into a variety of theoretical and practical disciplines. Some fields, such as computational complexity theory (which explores the fundamental properties of computational and intractable problems), are highly abstract, while fields such as computer graphics emphasize real-world visual applications. Still other fields focus on challenges in implementing computation. For example, programming language theory considers various approaches to the description of computation, while the study of computer programming itself investigates various aspects of the use of programming language and complex systems. Human–computer interaction considers the challenges in making computers and computations useful, usable, and universally accessible to humans.
UChannel is a consortium of universities that makes public affairs lectures available to a general audience by distributing free video and audio recordings in many digital formats - for streaming, downloading and broadcast. It was originally launched as the University Channel.
UChannel charter members are:
The project was incubated at Princeton University's Woodrow Wilson School of Public and International Affairs and launched its website in July 2005.
The collection includes events from dozens of universities around the world, all dealing with issues of public interest such as war, health, media, economy and global developments. Speakers come from the ranks of academics, authors and policymakers, and their presentations are offered to the public uncut and unedited.
The International Chinese Language Program (ICLP) (Chinese: 國際華語研習所) is an institution for intensive training in formal Mandarin, Taiwanese, Classical Chinese, and other varieties of Chinese. It is located in Gongguan, Taipei, on the main campus of National Taiwan University (NTU).
The center was established in 1961 by Stanford University to meet the stringent research and educational needs of Stanford University students. In 1963, the Inter−University Board was created and the official name became the Inter−University Program for Chinese Language Studies (IUP), commonly referred to as the "Stanford Center," with several top American universities contributing funds and participating in the center. Owing to the quality of the teachers and materials, as well as the intensity of instruction, this program quickly became the world's premier center for the intensive study of Mandarin Chinese, training several generations of the world's top sinologists, including professors, diplomats, and business leaders.
Danny Howells (born 24 November 1970) is an English producer and DJ. His music is often described as progressive house, though he prefers to associate more with tech house and is sometimes described simply as "deepsexyfuturistictechfunkouse". At performances, he is well known to interact personally with the audience. Howells has mixed several albums for Global Underground in addition to his Nocturnal Frequencies series. Howells is also a member of the duo Science Department with Dick Trevor, which has produced the singles "Breathe" and "Persuasion"/"Repercussion" as well as remixes for artists such as BT. From 2008 he has run his own record label, Dig Deeper - named after his long running club night.
Danny Howells was born in the South East England town of Hastings in 1970. Howells's first event DJ-ing came in the late 1980s and he began to perform at local clubs. In 1991, Bedrock founder John Digweed heard one of Howells's mix tapes and invited Howells to join the Bedrock club nights. Howells traveled with Bedrock until they settled at the club Heaven in London. He would spend nine years as warm-up DJ for Digweed at Bedrock.
Abstraction - A Programming Concept
What is abstraction in programming?
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Today, we approach, and attempt to understand, one of the higher-level programming concepts - Abstraction. = 0612 TV = 0612 TV, a sub-project of NERDfirst.net, is an educational YouTube channel. Started in 2008, we have now covered a wide range of topics, from areas such as Programming, Algorithms and Computing Theories, Computer Graphics, Photography, and Specialized Guides for using software such as FFMPEG, Deshaker, GIMP and more! Enjoy your stay, and don't hesitate to drop me a comment or a personal message to my inbox =) If you like my work, don't forget to subscribe! Like what you see? Buy me a coffee → http://www.nerdfirst.net/donate/ 0612 TV Official Writeup: http://nerdfirst.net/0612tv More about me: http://about.me/lcc0612 Official Twitter: http://twitter.com/0612tv = NERDfi...
Really simple - abstraction is hiding stuff!
Lecture 10 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie explains procedural recursion and introduces permute code. She goes through another example of recursive code line by line, explaining each component. Recursive backtracking and it's usefulness are discussed. The example of placing several queen chess pieces on a board where none of them can attack the other is then demonstrated. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.y...
It is all too easy to dismiss problematic codebases on some nebulous idea of bad practice or bad programmers. Poor code, however, is rarely arbitrary and random in its structure or formulation. Systems of code, well or poorly structured, emerge from systems of practice, whether effective or ineffective. To improve code quality, it makes more sense to pick apart the specific practices and see their interplay — the cause — than to simply focus on the code itself — the effect. This talk looks at how a handful of coding habits, design practices and assumptions can systematically balloon code and compound its accidental complexity. EVENT: code::dive conference, Poland, 2016 (http://codedive.pl/#) SPEAKER: Kevlin Henney PERMISSIONS: The original video was published on the code::dive YouTube c...
Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/adR/ The first lecture by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie Zelenski gives an introduction to the course, recursion, algorithms, dynamic data structures and data abstraction; she also introduced the significance of programming and gives her opinion of what makes 106B "great;" C++ is introduced, too. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanfor...
This video has theory explanation for abstraction in java. Abstraction is one of the concepts of OOPS object oriented programming system. Trainer: Navin Reddy visit our website : www.telusko.com facebook page : https://goo.gl/kNnJvG google plus : https://goo.gl/43Fa7i Subscribe to the channel and learn Programming in easy way. Java Tutorial for Beginners : https://goo.gl/p10QfB Scala Tutorials for Java Developers : https://goo.gl/8H1aE5 C Tutorial Playlist : https://goo.gl/8v92pu Android Tutorial for Beginners Playlist : https://goo.gl/MzlIUJ XML Tutorial : https://goo.gl/Eo79do Design Patterns in Java : https://goo.gl/Kd2MWE Java Servlet : https://goo.gl/R5nHp8 Hibernate Tutorial :https://goo.gl/N5ONYg Spring MVC Tutorial : https://goo.gl/9ubbG2 OpenShift Tutorial for Begi...
💖 Support the show by becoming a Patreon https://www.patreon.com/funfunfunction - Abstraction allows us to treat something complicated as one simple thing. - Abstraction is harder than we think and mostly fails. - A leaky abstraction is an abstraction that fails at encapsulating. - A leaky abstraction might add more complexity than it removes. ⏯ Highlights 00:20 Summary of leaky abstractions episode 00:50 What is abstraction (definition) 04:20 What is a leaky abstraction? 10:00 The cost of using leaky abstractions 🔗 mpj on Twitter https://twitter.com/mpjme 🔗 mpj on 🐳 (iOS only as of Nov 2016) https://askwhale.com/add/mpjme 🔗 MPJ's Musings playlist https://www.youtube.com/playlist?list=PL0zVEGEvSaeH21VDycWYNWU7VKUA-xLzg 🔗 Music: Peacock by 7 minutes dead https://www.youtube.com/...
The software industry is awash in folk wisdom. The "rule of three" tells us that we should only create a generic implementation once we've solved a problem three times. The Knuth quote about "premature optimization" either tells us that optimization is always bad, or bad 97% of the time, depending on how much of the quote we bothered to read. None of these prescriptions describe a context in which they might not apply. Taken literally, most are wildly misleading. To use them properly, we must already have a nuanced understanding of software. This talk presents a framework to intuit these same insights, but also their boundaries. It provides concepts and vocabulary that enable the viewer to not only explain how a problem should be solved, but why.
http://www.education.rec.ri.cmu.edu Learn about what abstraction is and how it helps us to solve problems.
PLoA 000 - Looking at the changes in complexity and programming mechanisms, using a retro video game in incrementally increasing complexity and completeness. This is the first video, so it starts out with absolute basics, but it is building up to more interesting and advanced topics. If the text is fuzzy, force the quality to HD and it will clear up.
Python’s lambda, a tiny anonymous function, can be useful in a pinch when you’re feeling too lazy to type that extra d-e-f. But did you know that behind this little lambda is actually one of the most powerful & elegant abstractions in the history of computer science? The lambda calculus, dating back to the work of lambda shepherd Alonzo Church in the 1930’s, lets us represent our programs - all their logic and data - as pure, anonymous functions, using nothing but (a whole lot of) lambda. Let’s take it for a spin and see what we can create: booleans and conditionals, integers, arithmetical operators, data structures… you name it. With some determination, and a little squinting, we might even see lambda do the impossible: reconcile object-oriented and functional programming. You heard it r...
Lecture 13 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie introduces linked lists and continues to discuss recursive data. She goes line by line through an example code she writes during the lecture. She then inserts variables in an order; she uses the example of an address book to explain this. Algorithm analysis are also introduced. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanforduniversity/
In this episode, we learn what abstraction is and how it can help us in our programs. Reddit ► https://www.reddit.com/r/CoderTheTyler Twitter ► https://twitter.com/coderthetyler Facebook ► https://www.facebook.com/coderthetyler/ Google+ ► https://plus.google.com/u/0/104036828711619051405 GitHub ► https://github.com/CoderTheTyler Here are some helpful resources to expand your understanding of abstraction: Abstraction (computer science) Wikipedia page https://en.wikipedia.org/wiki/Abstraction#In_computer_science Abstraction layer Wikipedia page https://en.wikipedia.org/wiki/Abstraction_layer BBC Bitesize Abstraction Guide http://www.bbc.co.uk/education/guides/zttrcdm/revision StackOverflow "What does abstraction mean in programming" http://stackoverflow.com/questions/21220155/what-does-abs...
Crisp and Clear Explanation of Abstraction and Encapsulation. You can understand what is abstraction and what is encapsulation. This is a common interview question and most important part of Object Oriented Programming. Abstraction - Ignoring those aspects of an object that are not relevant to the current scope of the problem. It reduces scope and helps managing complexity. Encapsulation - Provides interface to access the functionality of the object & hides how it is implemented (Information Hiding). Other way to describe is to keep the attributes and behavior as one unit – helps to make the object more independent. You can check the slides here at - http://www.slideshare.net/cheezycode/abstraction-and-encapsulation-56448922 You can also visit our site for other posts - http://www.che...
-- Contents -- 0:00 - Introduction 2:12 - WebKit Glue layer 5:03 - The Render process 5:38 - Renderer Host 6:40 - Tab Contents layer 7:00 - Browser Window 8:00 - Check Deps (dependencies) 9:14 - Q & A -- End -- Chromium's multi-process architecture and tight integration with WebKit necessitate a heavily layered approach. In this talk, Brett Wilson introduces each of the layers and explains how they fit together. This video is a great complement to this page: http://dev.chromium.org/developers/design-documents/displaying-a-web-page-in-chrome
PLoA 001 - Looking at the changes in complexity and programming mechanisms, using a retro video game in incrementally increasing complexity and completeness. Second video, covers changes in complexity and programming methods going from primitive to slightly more advanced collision detection. I also introduce doing forensic evaluation of code changes, and some other simple patterns of controlling options and flow in a program.
Kevlin Henney It is all to easy to dismiss problematic codebases on some nebulous idea of bad practice or bad programmers. Poor code, however, is rarely arbitrary and random in its structure or formulation. Systems of code, well or poorly structured, emerge from systems of practice, whether effective or ineffective. To improve code quality, it makes more sense to pick apart the specific practices and see their interplay — the cause — than to simply focus on the code itself — the effect. This talk looks at how a handful of coding habits, design practices and assumptions can systematically balloon code and compound its accidental complexity.
Lecture 6 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. In the sixth lecture, Julie discusses sequential containers, associative containers, map classes/interfaces, iteration over maps and set classes. She explains why set classes are different and sometimes better to use. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanforduniversity/
Abstract Computer Code Motion Background Abstract Computer Code Motion Background Abstract Computer Code Motion Background Abstract Computer Code Motion Background Abstract Computer Code Motion Background Abstract Computer Code Motion Background
Alpha Channel No Looped Video Yes download link:http://videohive.net/item/green-binary-code-abstract/12059789?s_phrase=&s;_rank=13?ref=Mik21
code test- abstract clock
Stanford University is one of the most well-known private universities in the United States. In this video, I visit the area around the Memorial Church as well as Hoover Tower. Unfortunately, I was not able to go to the top as it was closed during the holiday weekend. At the end of the video, I get to see Stanford Stadium, home to the Stanford Cardinal football team.
Communication is critical to success in business and life. Concerned about an upcoming interview? Anxious about being asked to give your thoughts during a meeting? Fearful about needing to provide critical feedback in the moment? You are not alone! Learn and practice techniques that will help you speak spontaneously with greater confidence and clarity, regardless of content and context. Recorded on October 25, 2014, in collaboration with the Stanford Alumni Association as part of Stanford Reunion Homecoming and the Graduate School of Business Fall Reunion/Alumni Weekend. Speaker: Matt Abrahams, ’91 Matt Abrahams is a lecturer at the Stanford Graduate School of Business, teaching strategic communication; he also teaches public speaking in Stanford’s Continuing Studies Program.
The day we went around interviewing tourists.
This is a short film about the area im staying in while working in the United States. The places shown in this video are Palo Alto, Menlo Park and Stanford.
5 of April some of the best students from the best highest educational institutes of Greece, visited the best university of United States of America.
The OCs take a trip to show you some of our favorite spots off-campus!
Introducing the newly renovated Stanford University Centre in Oxford! Trinity Term 2015.
The hotel is just nearby the Cal Train station Palo Alto, and Stanford University Ave is just outside of the door. Also close to Silicon Valley. Very convenience for people who is going to visit students at Stanford University.
Hey guys, hope you enjoy this video because it was a blast going to Stanford, though my edits suck lol. I'm now trying to regulate videos because I'm starting to handle things a lot better. Hope you guys like this short video and if you did, don't forget to comment, like, share, and subscribe because every little thing helps. I love you guys so much and the 100 SUBSCRIBER video will be up soon, THANKS GUYS :D ILY MUSIC IS OWNED RIGHTFULLY BY ITS OWNER: https://www.youtube.com/watch?v=AazgBF8hGbs https://soundcloud.com/axmod
Things to see and do at Stanford University
Great minds travel alike. Meet Paul Jones, PhD '71, just one of the many Stanford alumni travelers who make each and every Travel/Study adventure an extraordinary experience.
斯坦福大学一览
Students get their hands dirty learning about the lifecycle of Alaskan salmon and get a glimpse of the delicate balence between economics and sustainability that the state's fishing industry strives to maintain. For more info: http://news.stanford.edu/features/2016/alaska/
Lecture 10 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie explains procedural recursion and introduces permute code. She goes through another example of recursive code line by line, explaining each component. Recursive backtracking and it's usefulness are discussed. The example of placing several queen chess pieces on a board where none of them can attack the other is then demonstrated. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.y...
Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/adR/ The first lecture by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie Zelenski gives an introduction to the course, recursion, algorithms, dynamic data structures and data abstraction; she also introduced the significance of programming and gives her opinion of what makes 106B "great;" C++ is introduced, too. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanfor...
Python’s lambda, a tiny anonymous function, can be useful in a pinch when you’re feeling too lazy to type that extra d-e-f. But did you know that behind this little lambda is actually one of the most powerful & elegant abstractions in the history of computer science? The lambda calculus, dating back to the work of lambda shepherd Alonzo Church in the 1930’s, lets us represent our programs - all their logic and data - as pure, anonymous functions, using nothing but (a whole lot of) lambda. Let’s take it for a spin and see what we can create: booleans and conditionals, integers, arithmetical operators, data structures… you name it. With some determination, and a little squinting, we might even see lambda do the impossible: reconcile object-oriented and functional programming. You heard it r...
Lecture 13 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie introduces linked lists and continues to discuss recursive data. She goes line by line through an example code she writes during the lecture. She then inserts variables in an order; she uses the example of an address book to explain this. Algorithm analysis are also introduced. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanforduniversity/
Lecture 19 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie reiterates the rules for template implementers and continues by coding live with the class explaining each line of code in detail after writing it. Throughout the process of writing the code, she encounters several errors and debugs the code every several minutes. She continues to demonstrate how to write code involving stack. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtub...
💖 Support the show by becoming a Patreon https://www.patreon.com/funfunfunction Follow along while I code an editor (well, a fiddle, really) using create-react app and firebase, unit testing using enzyme. ⏯ Highlights 02:15 JSFiddle fast walkthrough 03:23 Jupyter 04:48 What I've built so far 06:28 Setting goal for the day 06:49 Fixing margins 07:21 Talking about Flow type system 10:49 data attributes and inline styles 13:38 Important advice to young programmers about typing 15:03 Goal setting and focus with notes 25:42 How firebase stores data 34:15 Writing Unit tests 🔗 Sushi Go (card game, amazon affiliate link) http://bit.ly/sushigo-mpj 🔗 MPJ's Musings playlist https://www.youtube.com/playlist?list=PL0zVEGEvSaeH21VDycWYNWU7VKUA-xLzg 🔗 Eve Programming language episode https://www....
It is all too easy to dismiss problematic codebases on some nebulous idea of bad practice or bad programmers. Poor code, however, is rarely arbitrary and random in its structure or formulation. Systems of code, well or poorly structured, emerge from systems of practice, whether effective or ineffective. To improve code quality, it makes more sense to pick apart the specific practices and see their interplay — the cause — than to simply focus on the code itself — the effect. This talk looks at how a handful of coding habits, design practices and assumptions can systematically balloon code and compound its accidental complexity. EVENT: code::dive conference, Poland, 2016 (http://codedive.pl/#) SPEAKER: Kevlin Henney PERMISSIONS: The original video was published on the code::dive YouTube c...
Lecture 20 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie continues discussing Vector and moves on to stack and queue, covering chapter ten in the course textbook. She goes over several rules for templates again to reinforce how important they are. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanforduniversity/
Through the concept of zero-cost abstractions, C++ has shown that it is possible to combine low-level control with high-level programming concepts. Rust is language that aims to offer the same sorts of zero-cost abstractions that C++ is capable of, while also enforcing memory safety and data-race freedom. The secret sauce is Rust's core notion of "ownership", which enables: - Memory safety without garbage collection; - Concurrency without data races, - Abstraction without overhead. In this talk, I'll explain ownership and show how Rust uses it to guarantee thread safety, amongst other things. I'll also talk about how Rust is designed to scale to large code-bases, sharing some of our experiences here at Mozilla from integrating Rust code into Firefox. One final theme of the talk is ...
💖 Support the show by becoming a Patreon https://www.patreon.com/funfunfunction In this video, we continue on our quest to make a physical Pomodoro timer using a Particle Photon Internet Button interacting with node.js on Kubernetes and Google Cloud. Playlist of all Let's Code episodes on Fun Fun Function https://www.youtube.com/playlist?list=PL0zVEGEvSaeHgdv6t242ukQNIOtHNgzOJ Pair Programming video https://www.youtube.com/watch?v=zFO1cRr5-qY Music by Joakim Karud https://soundcloud.com/joakimkarud
The software industry is awash in folk wisdom. The "rule of three" tells us that we should only create a generic implementation once we've solved a problem three times. The Knuth quote about "premature optimization" either tells us that optimization is always bad, or bad 97% of the time, depending on how much of the quote we bothered to read. None of these prescriptions describe a context in which they might not apply. Taken literally, most are wildly misleading. To use them properly, we must already have a nuanced understanding of software. This talk presents a framework to intuit these same insights, but also their boundaries. It provides concepts and vocabulary that enable the viewer to not only explain how a problem should be solved, but why.
Lecture 6 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. In the sixth lecture, Julie discusses sequential containers, associative containers, map classes/interfaces, iteration over maps and set classes. She explains why set classes are different and sometimes better to use. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanforduniversity/
PLoA 001 - Looking at the changes in complexity and programming mechanisms, using a retro video game in incrementally increasing complexity and completeness. Second video, covers changes in complexity and programming methods going from primitive to slightly more advanced collision detection. I also introduce doing forensic evaluation of code changes, and some other simple patterns of controlling options and flow in a program.
Kevlin Henney It is all to easy to dismiss problematic codebases on some nebulous idea of bad practice or bad programmers. Poor code, however, is rarely arbitrary and random in its structure or formulation. Systems of code, well or poorly structured, emerge from systems of practice, whether effective or ineffective. To improve code quality, it makes more sense to pick apart the specific practices and see their interplay — the cause — than to simply focus on the code itself — the effect. This talk looks at how a handful of coding habits, design practices and assumptions can systematically balloon code and compound its accidental complexity.
http://www.erlang-factory.com/euc2016/erik-stenman Since I started programming I have enjoyed higher and higher levels of abstractions in programming languages from 6502 Assembler, via C, Pascal, Basic, Lisp, ML, Scala to Erlang. For many years I also got into a habit of writing frameworks and abstractions in a misguided attempt to live up to the DRY principle. In the last decade, I spent more and more time reading, debugging and maintaining code than writing new code. This has opened my eyes to the real meaning of DRY and other abstractions. Really successful programs are written once and read thousands of times; this realisation puts the emphasis on writing readable programs. In this talk, I will give some examples of readable and perhaps even more examples of unreadable programs, and i...
Lecture 22 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie discusses map as a vector and describes a different, possibly better, strategy. The basics of trees and their usefulness and how they can be used with binary search is then introduced. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanforduniversity/
PLoA 000 - Looking at the changes in complexity and programming mechanisms, using a retro video game in incrementally increasing complexity and completeness. This is the first video, so it starts out with absolute basics, but it is building up to more interesting and advanced topics. If the text is fuzzy, force the quality to HD and it will clear up.
This presentation was recorded at GOTO Chicago 2014 http://gotochgo.com Simon Brown - Founder of "Coding the Architecture" ABSTRACT Software architecture and coding are often seen as mutually exclusive disciplines, despite us referring to higher level abstractions when we talk about our software. You've probably heard others on your team talking about components, services and layers rather than objects when they're having discussions. Take a look at the codebase though. Can you clearly see these abstractions or does the code reflect some other structure? If so, why is there no clear mapping between the architecture and the code? Why do those architecture diagrams that you have on the wall say one thing whereas your code says another? In fact, why is it so hard to automatically generate a...
http://CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2017 — Game audio programming is a sort of dark art practiced and understood by its few practitioners, but audio is an important and vibrant part of any game. There is a huge body of knowledge and history here, but the C++ standard, unfortunately, has yet to acknowledge the existence of audio output devices. In this talk we'll discuss the current state of the art in game audio programming, and what steps we can take toward bringing real-time audio to the C++ standard. We will begin with first principles: representing waveforms and playback of sounds. With a few basic mathematical principles out of the way, we'll discuss how a low-level mixer works, and...
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