essay on programming

Free Coding & Programming Essay Examples and Topics

Are you assigned to write a coding or programming essay? But do you understand the difference between the two? Numerous people use these terms interchangeably. Here, our experts have explained what they mean and how they differ:

Coding is the act of translating from human language into machine one. It’s like writing in the computer’s language. Programming is a broader process in which coding plays a role as well. It concerns developing software by basically telling the computer how to complete a task. Besides, programming involves fixing related errors so that programs function as intended.

As an act of translation, coding does not involve using many software tools. A specialist can even use a text editor to write a code. On the contrary, programming consists in using special tools and appropriate devices. Coders should know proper syntax and keywords, while programmers have to learn a lot more information.

In the following sections, we have provided tips on how to write programming and coding essays, as well as appropriate topics. Additionally, under the article, you’ll find free samples that you can look through.

Essay about Programming & Coding: Tips

An essay about programming or coding will have a standard 5-paragraph structure unless specifically required otherwise. In such a paper, you should present a thesis statement that reveals your message. Then, you should provide arguments and examples to explain your position. Here, we will gather tips that will help you in this endeavor.

To successfully write an essay on coding or programming, try the following:

• Be aware of who you’re writing for. Programming is a complex and specific subject. Thus, you need to understand both the topic and the audience. Include complex terminology for the pros or scale it down for the unprepared reader.
• Don’t limit your writing. Of course, you should try to stay focused on your topic. However, do not limit yourself if some technology or framework seems relevant to your essay. Include examples from other fields if they support your argumentation.
• Always do your research. Your essay should have some theoretical framework at its base. So, conduct your research before writing. Strive to build up a robust academic foundation for your argument.
• Structure your paper beforehand. Whatever topic you are writing about, you should organize your essay in advance. Prepare an outline or the bullet points of your ideas and references. Just make sure you think about the structure beforehand to simplify your writing process.
• Work on your intro and thesis first. There is no single way to write your first paragraph. Some people prefer to live the actual text of the introduction when they already have the entire essay written. Whatever method you choose, remember to work on your thesis statement before anything else. Our online thesis generator can help you with that.
• Make sure your body paragraphs serve their purpose. First of all, understand what the goal of your body paragraphs is. The primary purpose of the sections is to support your thesis statement. You can do that by providing information from different sources, illustrating your examples, and explaining ideas.
• Conclude and restate. Restating your thesis statement in your conclusion is essential. Make sure you do not simply repeat but develop it based on previous paragraphs. Sum up what you’ve discussed in your essay. Your final goal here is to create a lasting image in the reader’s memory.
• Don’t forget to proofread. You should reread and edit any paper before submitting it. You can carefully read it aloud and search for mistakes. Or you can ask someone to check your grammar, spelling, typos, etc.

17 Programming Essay Topics

You might be asked to write a coding or computer programming essay on a specific topic. However, sometimes you are free to choose the issue by yourself. You can let our topic generator create an idea for your paper. Or you can pick one from this list.

Check these coding and programming essay topics:

• A comparative analysis of Java and C++ computer programming languages.
• The use of python programming language in modern technologies.
• Reasons why I have a passion for programming.
• The pros and cons of computer-assisted coding.
• Exploring computer coding as an art.
• Teaching coding to kids through cartoons.
• How is computer science used in television and film productions?
• The benefits of using computer software in schools.
• The best languages for competitive programming.
• The importance of linear programming in real life.
• The use of linear programming in transportation.
• The application of programming in robotics.
• Television programming and how it has changed in the last 20 years.
• Teaching English as a foreign language using linguistic software.
• A comparison between the human brain and a computer.
• Will computers replace people at work in the future?
• The development of web programming and design: why is it important?

Thank you for reading the article! We hope our tips helped you with your programming essay. We’ve included some examples for you to make our topics and tips more useful. See these free programming essays down below.

154 Best Essay Examples on Programming

Web development.

• Words: 1618

Hyper Text Markup Language (HTML)

Python programming language.

• Words: 2782

Object-Oriented, Event-Driven and Procedural Programming

• Words: 1263

What Does It Mean: SMCO, W000 in Oracle

Face recognition technology, the history and evolution of the visual basic programming language.

• Words: 2598

What Is an Algorithm and How Does It Works

Java is the best programming language, operating systems ios vs. android: pros and cons, multimedia navigation and usability, the systems development life cycle, waterfall programming methodology, the java and c++ languages comparison, international software development ethical issues.

• Words: 2043

Commercial Off-the-Shelf Software

Procedural programming languages, timetable scheduling using generic algorithms.

• Words: 2667

Microsoft Power Point: Program Review

Testing approaches and change management process, web 2.0 technology: design aspects, applications and principles.

• Words: 1511

Comparison Between Unified Modelling Language and Data Flow Diagrams

• Words: 2596

Rapid Application Development Model Overview

Software bugs types, causes and consequences, quality and rapid application development.

• Words: 3741

Open-Source Programming Languages in EHRs: Advantages and Disadvantages

Coarse- and fine-grained parallelism, case studies in website upgrade for improved user experience, statistically significant chromatin contacts, correlation and regression applied to biomass in lunar-based station, cloud-based attendance software.

• Words: 2242

The Limit of Instruction-Level Parallelism in SPEC95 Applications

The artemis financial company’s code security, the new science of networks and complexity, experiences of beginner in python programming, buffer overflow: programming case, qualitative coding with hands or software, the agile manifesto: core values and areas of improvement, risks and opportunities of “platformization”.

• Words: 2558

Combining Programming Languages C++ and Python

The sierpinski gasket and recursion, compliance policy for coding error detection and prevention, developing the website for complex animation implementing.

• Words: 2261

Importance of Data Modelling in Programming

The application programming interface tiers, java, lisp, clojure and ram-ral.

• Words: 1927

Analysis of Software Integrity Strategies

Agile programming methodology: pros and cons, programming methodologies critique, devops application: advantages and disadvantages, multithreading models: definition and types, language interface, interlanguage, code-switching fossilization.

• Words: 1200

Importance of Algorithms and Data Structures

C++ and java programming languages comparison, stacks, queues, and search algorithms in programming, the hash tables data structure, the process of building websites with css, recursion explained with the mirror analogy, software recommendation memo for linkedin.

• Words: 1218

Systems Development Life Cycle and Implementation of Computer Assisted Coding

The cost of a positive integer.

• Words: 1920

How to Become a Videogame Designer

Tools for performance testing: project scope, computer programming and code, is html a programming language, notepad++ as a free editor for html files, boolean search and how to use it, object-oriented programming. java and c++ programming.

• Words: 1227

Python Impressions: Versatile and Accessible Programming Language

• Words: 1103

Optimal Approximate Sampling From Discrete Probability Distributions

Front end web development job market reflection, cctms labview interface: program development, library automation system labview solution, the problem of spam and phishing in e-mails, rapid application development (rad) protocol tutorials, object oriented programming concepts, failure modes and effect analysis (fmea).

• Words: 3373

Methods Used to Develop Java Applications for Government Projects

Hashing algorithms in the security of information.

• Words: 1642

The Development of the Java 2 Enterprise Architecture (J2EE)

Programming solution proposal analysis, functional pedagogical array language (fpal), making informed user decisions: windows v. linux.

• Words: 5667

Investigating Operating System Architecture

• Words: 2826

Software Development and Design Patterns

Simulation of a direct detection optical fiber system.

• Words: 1928

The Concept of Document Object Model

• Words: 1273

Software Engineering: Data Modelling and Design

• Words: 1210

XSLT: Extensible Style-Sheet Language for Transformation

Image processing and visual denoising.

• Words: 2389

Outsourcing of International Software Development

• Words: 2005

Self Assure Company: Quality Systems

• Words: 2858

A Usability Test Conducted on GE Money.com.au

• Words: 2204

The Development Process of Web Sites

• Words: 1623

The Development of the Vanguard Web

Design of object-oriented programming, context-aware applications, workshop report: client-server technology bco-5502.

• Words: 2212

Software and Tech Support: Powerpoint Program

Video distribution systems, windows vs google. new operating system as the key to success, xbrl: review, ibm spss software analysis, the design of the communication system.

• Words: 1952

Massive Resources: Trasing the Dynabook

• Words: 1385

Coding and Data Analysis Process

R-language software: efficiency in use, comparison between server operating systems.

• Words: 1677

Software: Product or Knowledge?

Object-orientation and it analysis, communication software “tomtom navigation”.

• Words: 1106

Systems, Process & Data Modeling

Agile methodology for software.

• Words: 1387

Virtual Fitting Room Online Business Plan

• Words: 2176

Computers: Science and Scientists Review

Python: programming language and concepts, linear programming and network models.

• Words: 1653

ASP.NET and JavaScript Web Development Technologies

• Words: 1213

Software Development: Integrated Perspective

Software design security significance.

Essays on programming I think about a lot

Every so often I read an essay that I end up thinking about, and citing in conversation, over and over again.

Here’s my index of all the ones of those I can remember! I’ll try to keep it up to date as I think of more.

There's a lot in here! If you'd like, I can email you one essay per week, so you have more time to digest each one:

Nelson Elhage, Computers can be understood . The attitude embodied in this essay is one of the things that has made the biggest difference to my effectiveness as an engineer:

I approach software with a deep-seated belief that computers and software systems can be understood. … In some ways, this belief feels radical today. Modern software and hardware systems contain almost unimaginable complexity amongst many distinct layers, each building atop each other. … In the face of this complexity, it’s easy to assume that there’s just too much to learn, and to adopt the mental shorthand that the systems we work with are best treated as black boxes, not to be understood in any detail. I argue against that approach. You will never understand every detail of the implementation of every level on that stack; but you can understand all of them to some level of abstraction, and any specific layer to essentially any depth necessary for any purpose.

Dan McKinley, Choose Boring Technology . When people ask me how we make technical decisions at Wave, I send them this essay. It’s probably saved me more heartbreak and regret than any other:

Let’s say every company gets about three innovation tokens. You can spend these however you want, but the supply is fixed for a long while. You might get a few more after you achieve a certain level of stability and maturity, but the general tendency is to overestimate the contents of your wallet. Clearly this model is approximate, but I think it helps. If you choose to write your website in NodeJS, you just spent one of your innovation tokens. If you choose to use MongoDB, you just spent one of your innovation tokens. If you choose to use service discovery tech that’s existed for a year or less, you just spent one of your innovation tokens. If you choose to write your own database, oh god, you’re in trouble.

Sandy Metz, The Wrong Abstraction . This essay convinced me that “don’t repeat yourself” (DRY) isn’t a good motto. It’s okay advice, but as Metz points out, if you don’t choose the right interface boundaries when DRYing up, the resulting abstraction can quickly become unmaintainable:

Time passes. A new requirement appears for which the current abstraction is almost perfect. Programmer B gets tasked to implement this requirement. Programmer B feels honor-bound to retain the existing abstraction, but since isn’t exactly the same for every case, they alter the code to take a parameter…. … Loop until code becomes incomprehensible. You appear in the story about here, and your life takes a dramatic turn for the worse.

Patrick McKenzie, Falsehoods Programmers Believe About Names . When programming, it’s helpful to think in terms of “invariants,” i.e., properties that we assume will always be true. I think of this essay as the ultimate reminder that reality has no invariants :

People’s names are assigned at birth. OK, maybe not at birth, but at least pretty close to birth. Alright, alright, within a year or so of birth. Five years? You’re kidding me, right?

Thomas Ptacek, The Hiring Post . This essay inspired me to put a lot of effort into Wave’s work-sample interview, and the payoff was huge—we hired a much stronger team, much more quickly, than I expected to be able to. It’s also a good reminder that most things that most people do make no sense:

Nothing in Alex’s background offered a hint that this would happen. He had Walter White’s resume, but Heisenberg’s aptitude. None of us saw it coming. My name is Thomas Ptacek and I endorse this terrible pun. Alex was the one who nonced. A few years ago, Matasano couldn’t have hired Alex, because we relied on interviews and resumes to hire. Then we made some changes, and became a machine that spotted and recruited people like Alex: line of business .NET developers at insurance companies who pulled Rails core CVEs out of their first hour looking at the code. Sysadmins who hardware-reversed assembly firmware for phone chipsets. Epiphany: the talent is out there, but you can’t find it on a resume. Our field selects engineers using a process that is worse than reading chicken entrails. Like interviews, poultry intestine has little to tell you about whether to hire someone. But they’re a more pleasant eating experience than a lunch interview.

Gergely Orosz, The Product-Minded Engineer . I send this essay to coworkers all the time—it describes extremely well what traits will help you succeed as an engineer at a startup:

Proactive with product ideas/opinions • Interest in the business, user behavior and data on this • Curiosity and a keen interest in “why?” • Strong communicators and great relationships with non-engineers • Offering product/engineering tradeoffs upfront • Pragmatic handling of edge cases • Quick product validation cycles • End-to-end product feature ownership • Strong product instincts through repeated cycles of learning

tef, Write code that is easy to delete, not easy to extend . The Wrong Abstraction argues that reusable code, unless carefully designed, becomes unmaintainable. tef takes the logical next step: design for disposability, not maintainability. This essay gave me lots of useful mental models for evaluating software designs.

If we see ‘lines of code’ as ‘lines spent’, then when we delete lines of code, we are lowering the cost of maintenance. Instead of building re-usable software, we should try to build disposable software.

Business logic is code characterised by a never ending series of edge cases and quick and dirty hacks. This is fine. I am ok with this. Other styles like ‘game code’, or ‘founder code’ are the same thing: cutting corners to save a considerable amount of time. The reason? Sometimes it’s easier to delete one big mistake than try to delete 18 smaller interleaved mistakes. A lot of programming is exploratory, and it’s quicker to get it wrong a few times and iterate than think to get it right first time.

tef also wrote a follow-up, Repeat yourself, do more than one thing, and rewrite everything , that he thinks makes the same points more clearly—though I prefer the original because “easy to delete” is a unifying principle that made the essay hang together really well.

Joel Spolsky, The Law of Leaky Abstractions . Old, but still extremely influential—“where and how does this abstraction leak” is one of the main lenses I use to evaluate designs:

Back to TCP. Earlier for the sake of simplicity I told a little fib, and some of you have steam coming out of your ears by now because this fib is driving you crazy. I said that TCP guarantees that your message will arrive. It doesn’t, actually. If your pet snake has chewed through the network cable leading to your computer, and no IP packets can get through, then TCP can’t do anything about it and your message doesn’t arrive. If you were curt with the system administrators in your company and they punished you by plugging you into an overloaded hub, only some of your IP packets will get through, and TCP will work, but everything will be really slow. This is what I call a leaky abstraction. TCP attempts to provide a complete abstraction of an underlying unreliable network, but sometimes, the network leaks through the abstraction and you feel the things that the abstraction can’t quite protect you from. This is but one example of what I’ve dubbed the Law of Leaky Abstractions: All non-trivial abstractions, to some degree, are leaky. Abstractions fail. Sometimes a little, sometimes a lot. There’s leakage. Things go wrong. It happens all over the place when you have abstractions. Here are some examples.

Reflections on software performance by Nelson Elhage, the only author of two different essays in this list! Nelson’s ideas helped crystallize my philosophy of tool design, and contributed to my views on impatience .

It’s probably fairly intuitive that users prefer faster software, and will have a better experience performing a given task if the tools are faster rather than slower. What is perhaps less apparent is that having faster tools changes how users use a tool or perform a task. Users almost always have multiple strategies available to pursue a goal — including deciding to work on something else entirely — and they will choose to use faster tools more and more frequently. Fast tools don’t just allow users to accomplish tasks faster; they allow users to accomplish entirely new types of tasks, in entirely new ways. I’ve seen this phenomenon clearly while working on both Sorbet and Livegrep…

Brandur Leach’s series on using databases to ensure correct edge-case behavior: Building Robust Systems with ACID and Constraints , Using Atomic Transactions to Power an Idempotent API , Transactionally Staged Job Drains in Postgres , Implementing Stripe-like Idempotency Keys in Postgres .

Normally, article titles ending with “in [technology]” are a bad sign, but not so for Brandur’s. Even if you’ve never used Postgres, the examples showing how to lean on relational databases to enforce correctness will be revelatory.

I want to convince you that ACID databases are one of the most important tools in existence for ensuring maintainability and data correctness in big production systems. Lets start by digging into each of their namesake guarantees.

There’s a surprising symmetry between an HTTP request and a database’s transaction. Just like the transaction, an HTTP request is a transactional unit of work – it’s got a clear beginning, end, and result. The client generally expects a request to execute atomically and will behave as if it will (although that of course varies based on implementation). Here we’ll look at an example service to see how HTTP requests and transactions apply nicely to one another.

In APIs idempotency is a powerful concept. An idempotent endpoint is one that can be called any number of times while guaranteeing that the side effects will occur only once. In a messy world where clients and servers that may occasionally crash or have their connections drop partway through a request, it’s a huge help in making systems more robust to failure. Clients that are uncertain whether a request succeeded or failed can simply keep retrying it until they get a definitive response.

Jeff Hodges, Notes on Distributed Systems for Young Bloods . An amazing set of guardrails for doing reasonable things with distributed systems (and note that, though you might be able to get away with ignoring it for a while, any app that uses the network is a distributed system). Many points would individually qualify for this list if they were their own article—I reread it periodically and always notice new advice that I should have paid more attention to.

Distributed systems are different because they fail often • Implement backpressure throughout your system • Find ways to be partially available • Use percentiles, not averages • Learn to estimate your capacity • Feature flags are how infrastructure is rolled out • Choose id spaces wisely • Writing cached data back to persistent storage is bad • Extract services.

J.H. Saltzer, D.P. Reed and D.D. Clark, End-to-End Arguments in System Design . Another classic. The end-to-end principle has helped me make a lot of designs much simpler.

This paper presents a design principle that helps guide placement of functions among the modules of a distributed computer system. The principle, called the end-to-end argument, suggests that functions placed at low levels of a system may be redundant or of little value when compared with the cost of providing them at that low level. Examples discussed in the paper include bit error recovery, security using encryption, duplicate message suppression, recovery from system crashes, and delivery acknowledgement. Low level mechanisms to support these functions are justified only as performance enhancements.

Bret Victor, Inventing on Principle :

I’ve spent a lot of time over the years making creative tools, using creative tools, thinking about them a lot, and here’s something I’ve come to believe: Creators need an immediate connection to what they’re creating.

I can’t really excerpt any of the actual demos, which are the good part. Instead I’ll just endorse it: this talk dramatically, and productively, raised my bar for what I think programming tools (and tools in general) can be. Watch it and be amazed.

Post the essays you keep returning to in the comments!

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10x (engineer, context) pairs

What i’ve been doing instead of writing, my favorite essays of life advice.

format comments in markdown .

Quite a few of these are on my list, here’s some others that I keep returning to every so often:

• https://www.stilldrinking.org/programming-sucks
• https://medium.com/@nicolopigna/this-is-not-the-dry-you-are-looking-for-a316ed3f445f
• https://sysadvent.blogspot.com/2019/12/day-21-being-kind-to-3am-you.html
• https://jeffknupp.com/blog/2014/05/30/you-need-to-start-a-whizbang-project-immediately/

Great list! Some essays I end up returning to are:

• https://www.destroyallsoftware.com/compendium/software-structure?share_key=6fb5f711cae5a4e6
• https://caseymuratori.com/blog_0015

These are conference talks on youtube, not blog posts, but here’s a few of the ones I often end up sending to collaborators as addenda to discussions:

Don Reinertsen - Second Generation Lean Product Development Flow

Joshua Bloch

The Language of the System - Rich Hickey

Some posts:

https://speakerdeck.com/vjeux/react-css-in-js - diagnosis of problems with CSS (not because of React)

https://zachholman.com/talk/firing-people

Especially for fault-tolerant systems, “why restart helps” really opened my eyes:

• https://ferd.ca/the-zen-of-erlang.html

Oh, I forgot: http://web.mit.edu/2.75/resources/random/How%20Complex%20Systems%20Fail.pdf

Oldie but a goodie:

https://www.developerdotstar.com/mag/articles/reeves_design_main.html

+1 for that one

This is a great list. If i could make one addition it would have to be Rich Hickey’s “simple made easy”: https://www.youtube.com/watch?v=oytL881p-nQ

I was once working with a newly formed (4 person) team on a large and complex project under a tight deadline. For a while we weren’t seeing eye to eye on many of the key decisions we made. Watching and reflecting on this talk gave us a shared aim and, perhaps even more importantly, a shared language for making choices that would reduce the complexity of our system. It is a gift that keeps on giving.

Another one that belongs on this list: https://www.kitchensoap.com/2012/10/25/on-being-a-senior-engineer/

A couple of my favorites:

• https://nedbatchelder.com/text/deleting-code.html
• https://www.joelonsoftware.com/2002/01/23/rub-a-dub-dub/

Out of the Tar Pit. https://github.com/papers-we-love/papers-we-love/blob/master/design/out-of-the-tar-pit.pdf

I’d like to nominate another of Nelson Elhage’s posts:

• https://blog.nelhage.com/2016/03/design-for-testability

This has had more direct influence on my day-to-day code writing than anything else. (Also, his other writing on testing is great.)

As another commenter mentioned conference talks, Bryan Cantrill on debugging is important—it meshes well with Nelson’s Computer can be understood . ( https://www.slideshare.net/bcantrill/debugging-microservices-in-production )

A fave of mine: Clojure: Programming with Hand Tools https://www.youtube.com/watch?v=ShEez0JkOFw

Some essays I like:

Science and the compulsive programmer by Joseph Weizenbaum - written in 1976, but the described phenomena of a compulsive programmer still exists and may be relevant to many: https://www.sac.edu/academicprogs/business/computerscience/pages/hester_james/hacker.htm

https://www.mit.edu/~xela/tao.html - Tao of Programming - not sure if you can classify as an essay, but it is classic!

https://norvig.com/21-days.html - Teach Yourself Programming in Ten Years by Peter Novig - a great essay on how to master programming and why reading books like “Learn X in Y days” won’t be of much help. I recommend it to all beginners

Reginald Braithwaite, Golf is a good program spoiled - http://weblog.raganwald.com/2007/12/golf-is-good-program-spoiled.html . Raganwald has more great essays on his weblog, I just like this one the most.

The link of the last one ( https://vimeo.com/36579366 ) is broken. You may want to update it.

Paul Graham, “Maker’s Schedule, Manager’s Schedule " https://paulgraham.com/makersschedule.html

I keep thinking about those too:

https://www.teamten.com/lawrence/programming/write-code-top-down.html

https://rubyonrails.org/doctrine#provide-sharp-knives

Essays on Computer Programming

Faq about computer programming.

• Encryption Research Topics Topics: 48
• Computers Research Topics Topics: 183
• Artificial Intelligence Paper Topics Topics: 217
• Cybersecurity Topics Topics: 173
• Internet of Things Research Topics Topics: 58
• Virtualization Research Topics Topics: 46
• Cyber-Attack Topics Topics: 62
• Internet Privacy Paper Topics Topics: 53
• Cybercrime Topics Topics: 106
• Cyberspace Topics Topics: 59
• Machine Learning Paper Topics Topics: 52
• Software Paper Topics Topics: 188
• Hacking Paper Topics Topics: 50
• Robots Topics Topics: 90
• Aviation Safety Paper Topics Topics: 69

77 Programming Essay Topics

🏆 best essay topics on programming, 🌶️ hot programming essay topics, 👍 good programming research topics & essay examples, 🎓 most interesting programming research titles.

• Programming Code for ATM Machine
• Transshipment Problem Solving with Linear Programming
• Software Engineering Management: Unified Software Development Process and Extreme Programming
• Linear Programming Operations Management
• Classes and Objects in Java Programming
• Java as a Programming Language: Creating an App
• Plan to Support Students Learning English and Programming
• Loops in Java Programming: FOR, WHILE, and DO…WHILE Java offers three basic types of loops: FOR, WHILE, and DO…WHILE. Their fundamental function is executing a block of code repeatedly, based on a Boolean condition.
• Linear Programming and Sensitivity Analysis Linear programming and sensitivity analysis are important statistical tools for making decision based on examining the interaction between different variable inputs to generate ideal output.
• Web Programming Technologies, Strategies and Design Web development ranges from creating a single static website page to creating the most complex web-based internet apps, electronic enterprises, or social media platforms.
• Teaching Computer Science to Non-English Speakers Learning computer science presents many challenges. The paper investigates significant barriers to CS education and how the process could be improved.
• Challenges of Computer Programming for Non-English Speakers The initial idea was to choose a topic connected with the problems that some inexperienced programmers may face.
• JavaScript-Based AJAX, MVC, and Functional Programming This paper will describe JavaScript-based AJAX, MVC, and Functional Programming, discuss their pros, compares them, and find scenarios where they are appropriate
• Aspects of Coral Programming Using functions in coral is very useful when creating programs that require their specific input. Using the current case, breaking the program is necessary.
• Programming Student Management System This paper’s main purpose is to design and implement a simple module where students’ can enter the grades and compute the average grades.
• Scrum: Extreme Programming Without Engineering The report contrasts XP and Scrum’s non-technical practices and claims that Scrum is just XP without the technical practices.
• Parallel Programming Analysis System performance from a hardware perspective cannot be infinitely improved due to limitations regarding heat dissipation and power consumption.
• Paired Programming Analysis In the engineering of software, the software methodology applied plays a significant role in the final product of the process.
• Object-Oriented vs Procedural Programming Paradigms Procedural programming and Object-oriented programming are fundamentally different in how they approach problem-solving and organizing programs.
• Programming: Personal Development Plans In the article, the author shares his impressions of the course on Java programming and reflects on his next steps, which will allow him to grow as a programmer.
• Technical Communication and Programming Modern computer programs written in high-level programming languages are often complex to use and understand, especially for users who are not familiar with the concept of software development.
• Inheritance and Polymorphism in Programming This article defines the concepts of inheritance and polymorphism and provides examples of their use in object-oriented programming.
• Computer Programs: Programming Techniques For computers to execute their functions, specific programs with specific applications are used. Programs must be executable by any computer depending on the program instruction.
• Access Risks in Application Programming Interface The paper overviews the security concerns of application programming interfaces and offers ways to mitigate identity and access management risks.
• Linear Programming Models Review The linear model addresses the challenge of forecasting the capacity of an e-commerce company to sell the maximum number of units possible.
• Scheduling Problems Management: Linear Programming Models In the example of scheduling, linear programming models are used for identifying the optimal employment of limited resources, including human resources.
• The “Hour of Code” Project: Motivation to Programming The paper includes an analysis of some of the videos and explores the possible outcomes of the Hour of Code approach with a focus on the topics of creativity and success.
• Decision Problems Under Risk and Chance-Constrained Programming: Dilemmas in the Transition
• Linear and Nonlinear Separation of Patterns by Linear Programming
• Programming Capabilities and Application Software Comparison
• Bilevel Programming for the Continuous Transport Network Design Problem
• Computer Programming and Its Effect on Our Lives
• Sequence, Selection, and Iteration in Programming Language
• Aggregating Classifiers With Mathematical Programming
• Code Refactoring Using Slice-Based Cohesion Metrics and Aspect-Oriented Programming
• Agile Modeling, Agile Software Development, and Extreme Programming
• Chance Constrained Programming and Its Applications to Energy Management
• Capacity Planning With Technology Replacement by Stochastic Dynamic Programming
• Airline Network Revenue Management by Multistage Stochastic Programming
• How CAD Programming Helps the Architectural Plans and Design Firms
• Combining Linear Programming and Automated Planning to Solve Intermodal Transportation Problems
• Algorithms and Logic for Computer Programming
• Differences Between Procedural-Based and Object-Oriented Programming
• Can Programming Frameworks Bring Smartphones Into the Mainstream of Psychological Science?
• The Main Concept of a Programming Model
• Bill Gates and Nolan Bushnell: Pioneers of Computer Programming
• Comparison of Angular2 and Java Programming Frameworks
• Allocating Selling Effort Via Dynamic Programming
• Innovations and Programming Techniques for Risk Analysis
• Comparing the Factor-Rating System and the Transportation Method of Linear Programming
• Alternative Estimation Methods for Two-Regime Models: A Mathematical Programming Approach
• Computer Organization with Machine Level Programming
• Application Programming Interface for Radiofrequency Transceiver
• Integer Programming: Methods, Uses, Computations
• Degeneracy, Duality, and Shadow Prices in Linear Programming
• Pair Programming and Lean Principles of Software Development
• Branch-and-Bound Strategies for Dynamic Programming
• Compilers: Object-oriented Programming Language
• Integrating Combinatorial Algorithms Into a Linear Programming Solver
• Applying Integer Linear Programming to the Fleet Assignment Problem
• Comparing Extreme Programming and Waterfall Project Results
• Description and Occupational Outlook of Computer Programming
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• Endogenizing the Rise and Fall of Urban Subcenters via Discrete Programming Models
• Complex Matrix Decomposition and Quadratic Programming
• Linear Programming: Advantages, Disadvantages, and Strategies
• Designing Reusable Class and Object-Oriented Programming
• Computer and Mathematical Sciences: Programming Paradigms
• How Grace Hopper Contributed to the Early Computer Programming Development
• Digital Circuit Optimization via Geometric Programming
• Inequalities for Stochastic Linear Programming Problems
• Computer Programming and Program Development
• Discrete Dynamic Programming and Capital Allocation
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• Computer Science and Programming of the Mechanical Industry
• Dynamic Choice Theory and Dynamic Programming
• Continuous Reformulations for Zero-One Programming Problems

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These essay examples and topics on Programming were carefully selected by the StudyCorgi editorial team. They meet our highest standards in terms of grammar, punctuation, style, and fact accuracy. Please ensure you properly reference the materials if you’re using them to write your assignment.

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• Miscellaneous

How to Write an Essay for Programming Students

Programming is a crucial aspect of today’s technology-based lives. It complements the usability of computers and the internet and enhances data processing in machines.

If there were no programmers-and, therefore, no programs such as Microsoft Office, Google Drive, or Windows-you couldn’t be reading this text at the moment.

Given the significance of this field, many programming students are asked to write a paper about it, which makes them be looking for college essay services , and address their “where can I type my essay” goals.

However, if you’re brave enough to write your essay, here’s everything you need to know before embarking on the process.

What is Computer Programming

Computer programming aims to create a range of orders to automate various tasks in a system, such as a computer, video game console, or even cell phone.

Because our daily activities are mostly centered on technology, computer programming is considered to be crucial, and at the same time, a challenging job. Therefore, if you desire to start your career path as a programmer, being hardworking is your number one requirement.

Coding Vs. Writing

Writing codes that can be recognized by computers might be a tough job for programmers, but what makes it even more difficult is that they need to write papers that can be understood by humans as well.

Writing code is very similar to writing a paper. First of all, you should understand the problem (determine the purpose of your writing). Then, you should think about the issue and look for favorable strategies to solve it (searching for related data for writing the paper). Last but not least refers to the debugging procedure. Just like editing and proofreading your document, debugging ensures your codes are well-written.

In the following, we will elaborate more on the writing process.

Essay Writing Process

Writing a programming essay is no different from other types of essays. Once you get to know the basic structure, the rest of the procedure will be a walk in the park.

Write an Outline

An outline is the most critical part of every writing assignment. When you write one, you’re actually preparing an overall structure for your future work and planning for what you intend to talk about throughout the paper.

Your outline must have three main parts: an introduction, a body, and a conclusion, each of which will be explained in detail.

Introduction

The introductory paragraph has two objectives. The first one is to grab readers’ attention, and the second one is to introduce the thesis statement. Besides, it can be used to present the general direction of the subsequent paragraphs and make readers ready for what’s coming next.

The body, which usually contains three paragraphs, is the largest and most important part of the essay. Each of these three paragraphs has its own topic sentence and supporting ideas to justify it, all of which are formed to support the thesis statement.

Based on the subject and type of essay, you can use various materials such as statistics, quotations, examples, or reasons to support your points and write the body paragraphs.

Another important requirement for the body is to use a transition sentence at the end of each body paragraph. This sentence gives a natural flow to your paper and directs your readers smoothly towards the next paragraph topic.

A conclusion is a brief restatement of the previous paragraphs, which summarizes the writing, and points out the main points of the body. It conveys a sense of termination to the essay and provides the readers with some persuasive closing sentences.

Proofreading

If you want to get into an elegant result, the final work shouldn’t be submitted without rereading and revising. While many people consider it to be a skippable step, proofreading is as important as the writing process itself.

Read your paper out loud to spot any grammatical or typing errors. It’s also possible to pay a cheap essay service to check for your potential mistakes or have your friends to the proofreading step for you.

Essay Writing Tips for Programming Students

● Know your audience: Programming is a complex topic, and not everyone understands it well. Consider how much your reader knows about the topic before you start writing. In case you are using service essays, make the writers know who your readers are.

● Cover different technologies: There are so many programming frameworks and tools out there, and new ones seem to pop up every day. Try to cover the relevant technologies in your essay but do stay focused. You shouldn’t confuse your reader by dropping names.

● Pay attention to theory: Many programming students love to get coding and hate theoretical stuff. But writing an essay is an academic task, and much like any other one, it needs to be done based on some theory.

Bottom Line

People who decide to work as programmers need to be all-powerful because they should be able to write documents for both computers and humans. As for the latter, we offered a concise instruction in this article. However, if you are a programming student and have not fairly developed your writing skills or you lack enough time to do so, getting help from a legit essay writing service will be your best option.

Home — Essay Samples — Information Science and Technology — Computer Programming — Fueling Innovation: A Passion for Programming

Fueling Innovation: a Passion for Programming

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Essay Samples on Computer Programming

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Microsoft Window's Advantages Over Its Competitors

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Best topics on Computer Programming

1. The Correlation of Coding Skills to Reading, Writing Speed and Speaking

2. Multitasking Support For Embedded Systems Using Phantom Serializing Compiler

3. My Experiences With Computer Programmer Career And My Future Aims

4. Microsoft Window’s Advantages Over Its Competitors

5. Analysis Of The Realiability Of React Js Development

6. History and Make Up of Programming Languages

7. Assembly Line Balancing As A Key For Organizational Productivity

8. Growth Of On-Demand App Development Era

9. My Intent To Develop And Improve My It Skills

10. Programming Technology Parks Of India

11. The 3D Configurator And Its Functions

12. The Techniques For Provisioning Components Of Component-Based Software Development

13. Methods In A Software Development Project

14. Url Shortening – An Effortless Way To Make Money Online

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