"Politics vs. Literature" is a prominent essay written by George Orwell, first published in 1946. In this essay, Orwell explores the relationship between politics and literature, examining how the two fields influence and intersect with one another. ### Key Themes: 1. **Political Influence on Literature**: Orwell discusses how political ideologies and contexts can shape literary works.
Don Eppes is a fictional character from the television series "Numb3rs," which aired from 2005 to 2010. He is portrayed by actor Rob Morrow. Don Eppes is an FBI agent who works in Los Angeles and is the leader of a team that solves crimes using mathematical concepts and principles. The show often highlights the collaboration between Don and his younger brother, Charlie Eppes, played by David Krumholtz, who is a brilliant mathematician.
Amita Ramanujan is a prominent Indian poet, translator, and writer known for her contributions to contemporary literature in English as well as in Indian languages. She has published numerous poems and essays that explore themes such as identity, culture, and the human experience. Ramanujan often draws upon her Indian heritage and personal experiences to inform her work, and she has received recognition for her ability to bridge different linguistic and cultural traditions.
"Lists of Numbers" is a television series that focuses on various topics related to numbers and their significance in our daily lives and in broader cultural contexts. Each episode typically explores different themes or mathematical concepts, presenting them in an engaging way that appeals to a wide audience.
In the context of numbers or data, "harvest" typically refers to the process of collecting or gathering information, data, or results for analysis or reporting. This term can be used in various fields such as agriculture, finance, or data science. 1. **Data Harvesting**: In data science or information technology, it refers to the collection of data from various sources for analysis.
In the context of data and information management, "provenance" refers to the history of the data, including its origin, lineage, and the various transformations it has undergone throughout its lifecycle. Provenance helps in understanding the source of the data, the processes that modified it, and its overall credibility and trustworthiness.
"The Art of Reckoning (Numbers)" might refer to various concepts, depending on the context in which it's used. Primarily, it could relate to: 1. **Mathematics and Numerology**: This could involve the study of numbers in a mathematical context, analyzing their properties, patterns, and relationships. It might also touch on numerology, where numbers are believed to hold mystical significance.
"Thirty-Six Hours" can refer to a few different things, depending on the context. Here are a few possibilities: 1. **Film and Literature**: "Thirty-Six Hours" could refer to a story, book, or film that centers around a 36-hour time frame, often involving a significant event or series of events that unfold within that duration.
"Numbers" (or "Numb3rs") is an American television series that aired from 2005 to 2010. The show combines elements of crime drama and mathematics, centering around FBI agent Don Eppes and his mathematical genius brother, Charlie Eppes. Together, they use mathematical concepts and techniques to solve various crimes. Season 3 of "Numb3rs" originally aired from September 2006 to May 2007 and consists of 24 episodes.
As of my last update, "Chan-Jin Chung" does not refer to a widely recognized individual, concept, or entity in popular culture, literature, or any major public domain. It's possible that Chan-Jin Chung is a private individual or a name that may not be widely known or documented. If you meant a specific person or context (such as a researcher, artist, character in a work of fiction, etc.
David J. Malan is a computer scientist and educator known for his work in computer science education, particularly as the instructor for Harvard University's popular introductory course, CS50: Introduction to Computer Science. His engaging teaching style and commitment to making computer science accessible to a wide audience have contributed to the course's popularity, both on campus and through online platforms.
Peter Brusilovsky is a prominent researcher in the field of computer science, specifically known for his work in the areas of adaptive learning systems, personalized education, and user modeling. He has contributed significantly to the development of technologies and methods that tailor educational experiences to individual learners' needs, preferences, and performance. Brusilovsky is a professor at the University of Pittsburgh, where he focuses on advancing the understanding of how technology can support personalized learning.
Thomas Sterling is a prominent computer scientist known for his work in the field of high-performance computing (HPC). He has made significant contributions to the development of parallel computing systems and programming models. One of his notable achievements is co-developing the "Beowulf" cluster concept in the mid-1990s, which involves using commodity hardware and open-source software to create powerful computing clusters for scientific and industrial applications.
Daniel Jackson is a prominent computer scientist known for his contributions to software engineering, program analysis, and the development of formal methods. He is a professor at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science. Jackson is widely recognized for creating the Alloy modeling language, which is used for software design and analysis. Alloy is particularly noted for its ability to support abstract specification and model checking of software systems.
Dines Bjørner is a Danish computer scientist known for his contributions to formal methods in software engineering and programming languages. He has played a significant role in the development of formal specification techniques, including the use of algebraic methods and the theory of computing. Bjørner is particularly associated with the development of the Vienna Development Method (VDM), which is one of the earliest formal methods used for software specification and development.
Keith Clark is a notable computer scientist recognized for his contributions to the fields of artificial intelligence and logic programming. He is particularly known for his work on Prolog, a programming language associated with artificial intelligence and computational linguistics. One of his significant contributions is the development of the "Clark Completion," a technique that enhances the capabilities of logic programming systems by applying principles from non-monotonic reasoning and logic.
Luigi Logrippo is a computer scientist known for his work in the fields of computer science, specifically in areas like algorithm design, computational complexity, and possibly contributions related to information systems. He has been associated with research and academic institutions, where he has likely engaged in teaching and publishing research papers.
Stephen R. Bourne is a prominent figure in the field of computer science, specifically known for his contributions to systems programming and operating systems. He is perhaps best known for his work on the development of the UNIX operating system and for his role at MIT, where he greatly influenced the evolution of computer engineering education.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





