In computer science, garbage collection (GC) is a form of automatic memory management. The garbage collector attempts to reclaim memory which was allocated by the program, but is no longer referenced; such memory is called garbage. Garbage collection was invented by American computer scientist John McCarthy around 1959 to simplify manual memory management in Lisp. Garbage collection relieves the programmer from doing manual memory management, where the programmer specifies what objects to de-allocate and return to the memory system and when to do so. Other, similar techniques include stack allocation, region inference, and memory ownership, and combinations thereof. Garbage collection may take a significant proportion of a program's total processing time, and affect performance as a result. Resources other than memory, such as network sockets, database handles, windows, file descriptors, and device descriptors, are not typically handled by garbage collection, but rather by other methods (e.g. destructors). Some such methods de-allocate memory as well. (Wikipedia).
Understanding Java Garbage Collector and Heap | Java Garbage Collection Tutorial | Edureka
( Java Training - https://www.edureka.co/java-j2ee-training-course ) The video mainly explains heap and garbage collector. Heap is the memory area in JVM where objects are created. Garbage Collector is a special thread, which clears the memory area during runtime, freeing it from the objec
From playlist Java Tutorial For Beginners | Edureka
Android Tutorial Java-Garbage Collector(Part-3) | Edureka
Take a Free introductory instructor-led Live class at : http://www.edureka.co/android-development-certification-course This android tutorial talks about Garbage Collector in detail: *Is Programmers are responsible for memory management? *Want to know what is Heap? *What really Garbage Co
From playlist Android Tutorial - Java Essentials for Android (Part I)
Intro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e. building models with data). These will be some of the topics discussed in this lecture series.
From playlist Intro to Data Science
GoRuCo 2013 - To Know A Garbage Collector by Mike Bernstein
It started as an obsession with making the web application used at my day job faster, and ended with trying to implement new Garbage Collection algorithms in a notoriously insane codebase. Garbage collection is an epic hack and a triumphant abstraction that supports various programming par
From playlist GoRuCo 2013
Collections are list of numbers and or strings. In this lesson I will try and show you the power of collections and some of the functions that act on them.
From playlist The Julia Computer Language
Sorting in Python || Learn Python Programming (Computer Science)
Sorting is a fundamental task in software engineering. In Python, there are a variety of ways to sort lists, tuples, and other objects. Today we talk about the sort() method which is an in-place algorithm for sorting lists. We also cover the sorted() function which can be used on more o
From playlist Python Programming Tutorials (Computer Science)
Data Science Fundamentals: Data Cleaning in Python
This is the third video in my Data Science Fundamentals series. In it I walk through the most important data cleaning techniques using pandas. Data cleaning is extremely important process in data science. There is an old adage in data science "garbage in garbage out", if we don't provide c
From playlist Data Science Fundamentals
Ruby Conf 2013 - Visualizing Garbage Collection in Rubinius, JRuby and Ruby 2.0
By Pat Shaughnessy In this talk we'll dive into Ruby internals and take a close look at an ugly topic: garbage collection. How do these Ruby VM's allocate memory for new objects? How do they identify unused objects? How do they reclaim memory from garbage objects, allowing it to be used a
From playlist RubyConf 2013
Compilation - Part One: Overview of the Stages of Compilation
This is part one of a series of videos about compilation. As you will see when you watch this series, compilation involves a diverse range of themes in the field of computer science including high and low level programming paradigms, the definition of context free grammars, the application
From playlist Compilation
Python vs C++ | Difference between Python and C++ | Python Training | Edureka
🔥Edureka Python Certification Training: https: https://www.edureka.co/data-science-python-certification-course 🔥 Edureka C++ Programming Course: https://www.edureka.co/cpp-programming-course This Edureka video on the 'Python vs C++' will help you to clearly distinguish between two of th
From playlist Python Programming Tutorials | Edureka
RubyHack 2019 - Ruby3: What's Missing? by Yukihiro (Matz) Matsumoto
RubyHack 2019 - Ruby3: What's Missing? by Yukihiro (Matz) Matsumoto Ruby3 is at hand but we still have things to clear up. Matz explains the current status of Ruby3 and the remaining issues.
From playlist RubyHack 2019
!!Con West 2019 - Michael Arntzenius: Software patterns … from the 9th century?!!
Presented at !!Con West 2019: http://bangbangcon.com/west In 9th-century Europe, agriculture underwent a major refactoring — all to change a single magic constant. Traditionally, farmers left half their land uncultivated, to let it recover depleted nutrients; now they started leaving only
From playlist !!Con West 2019
Tim Harris: "Systems Challenges in Graph Analytics"
The Turing Lectures: Industrial & Commercial - Tim Harris – Oracle Laboratories: Systems Challenges in Graph Analytics Click the below timestamps to navigate the video. 00:00:10 Introduction by Professor Chris Williams, Edinburgh University 00:01:49 Tim Harris – Oracle Laboratories: Syst
From playlist Turing Lectures
!!Con West 2019 - Michael Arntzenius: Software patterns … from the 9th century?!!
Presented at !!Con West 2019: http://bangbangcon.com/west In 9th-century Europe, agriculture underwent a major refactoring — all to change a single magic constant. Traditionally, farmers left half their land uncultivated, to let it recover depleted nutrients; now they started leaving only
From playlist !!Con West 2019
By, Koichi Sasada We will talk about introspection features of Ruby interpreter (MRI) to solve troubles on your Ruby on Rails application. Rails application development with Ruby is basically fast and easy. However, when you have trouble such as tough bugs in your app, performance issues a
From playlist RailsConf 2015
Learn the computer science 🔬🤓 behind #JavaScript by looking at how it works under the hood. Understand why JS is called a "high-level single-threaded, garbage-collected, interpreted (or just-in-time compiled), prototype-based, multi-paradigm, dynamic language with a non-blocking event loo
From playlist That Weird JavaScript Course
27c3: Defense is not dead (en)
Speaker: Andreas Bogk Why we will have more secure computers - tomorrow The security model of our current computer architectures - kernel in ring 0, processes in ring 3 - goes back to the early 70s. However, science hasn't stopped. This talk is going to look into the state of the art in
From playlist 27C3: We come in peace
Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning