#computer science project topics in python

[final-year-projects]

Final year projects for computer science

Project house is a warehouse of more than 100+ projects in all platforms focused on effectively helping understudies with quality, well-informed, dependable and project ideas and task materials that helps the  final year projects for computer science students to make a good academic project and improving their project ideas. This website not only helps you to choose a project but also provides step by step instructions on how to make it happen by providing abstract, demo videos and screenshots and also an option to upload your individual project. The top project categories are python, unity, machine learning, android, .net, java and php. All software projects are exploring IEEE Papers. We provide all the documents regarding the projects. And the code deployment will also be given to you. All the software needed to the project will be given by us. You just do one thing; Pick a project that matches your interest and then you can request to the administrator for that project then administrator group will reach you for further procedures. We help you to identify the best project for you. Project house also helps to identify free internship for final year Computer science and Information science and job training facility.

[orphicpoieses]

~ 🦋 27.02.2026

Hello, hello 👋🏻

I’ve been away for some time (again). Somehow, since I don’t post as much about my WIPs, I don’t find enough interesting stuff to write about anymore 😅

Anyways, I figured, it is time again for some life updates.

Where did I leave you off? I don’t know anymore. So I will start somewhere and if you are confused, I am deeply sorry 😬

Let’s start with the most interesting part….

————— 🥀 Project Rosary

Project Rosary: Silver Edition currently sits at 96k words and has not progressed since Summer last year… I originally thought I would finish draft 1 by the end of 2025, but a lot of personal stuff got in the way (my university studies got delayed by some organizational problems on terms of the university, I could not start my bachelors thesis and lost a half a year because of that, so that was really stressful).

But, I am currently working on it to get back to it and hopefully start writing again soon ☺️

So, what else has happened in the past few months? Let’s continue to the second most interesting thing!

————— 🌻 Project Virtual Reality

Yes, you read that right. Virtual Reality. Since I finally started my bachelors thesis (for anyone who hasn’t read some of my posts before: Hi, I am a computer science student specializing in Scientific Visualization and Explainable AI), I am currently developing a VR application for data visualization.

For this, I am using Unreal Engine 5.7 and many, many tutorials on YouTube 😅 But the goal is to create a live rendering application for several data visualization options for AI explanations with a real time application of an AI via Python (for anyone who is interested in coding ✌🏼).

I am at the basics now, but learning to develop a VR “Game” as a thesis foundation is kinda cool. Sitting in a room at the department, having a fancy pc and a fancy headset at hand, looking at what you’ve created is extremely satisfying and I recommend trying this out if you own a headset your own.

Setting up a game (any game, not only VR) is extremely easy with Unreal Engine and using the blueprints feels like magic ✨

Oh and the most satisfying part: Unreal works with git version history 😌👌🏼

But I believe, rambling about game development and coding to a follower base of writers is confusing more people than I want to 😅

So let’s skip to the next and final topic for today:

————— 🪴 General Life

Nothing much to say, honestly.

I managed to go from zero pen and paper campaigns to three in like a week 😅

The first is an eldritch horror adventure (for which I made the most useless character possible 😬) in DnD. The campaign is quite okay, but since we are four players to save the world and me playing a very bad paladin build, it makes very…stagnant sessions… Don’t get me wrong, I love the people at the table, but it is most of the time quite exhausting sadly 😬🙈

The second one is a sandbox world in a high fantasy setting in a custom build Rulebook written by my boyfriend years ago (therefore he is my Game Master). This campaign is extremely funny since the party contain only murder hobos and we are actually the evil in this world. We currently try to rob a city 😌 And yes, we are pirates 😌

The third is the same core rules as the second, but the Game master is a friend of my boyfriend and mine. We go basically space hopping, selling wares and I can play a sugar glider 😌

Image below for reference ✌🏼

Besides pen and paper campaigns, there isn’t much more to say really. I try to manage my time currently a bit more, to get to all the stuff I want to do. It’s not always easy, but I will get there ☺️

Let me know what’s new in the community and in your lives below in the comments! ☺️

Thanks for reading and if you have made it to the end, have a cookie 🍪

[womaneng]

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A post shared by Zeynep Küçük Woman Engineer (@woman.engineer)

Learning to code and becoming a data scientist without a background in computer science or mathematics is absolutely possible, but it will require dedication, time, and a structured approach. ✨👌🏻 🖐🏻Here’s a step-by-step guide to help you get started:

1. Start with the Basics:

- Begin by learning the fundamentals of programming. Choose a beginner-friendly programming language like Python, which is widely used in data science.

- Online platforms like Codecademy, Coursera, and Khan Academy offer interactive courses for beginners.

2. Learn Mathematics and Statistics:

- While you don’t need to be a mathematician, a solid understanding of key concepts like algebra, calculus, and statistics is crucial for data science.

- Platforms like Khan Academy and MIT OpenCourseWare provide free resources for learning math.

3. Online Courses and Tutorials:

- Enroll in online data science courses on platforms like Coursera, edX, Udacity, and DataCamp. Look for beginner-level courses that cover data analysis, visualization, and machine learning.

4. Structured Learning Paths:

- Follow structured learning paths offered by online platforms. These paths guide you through various topics in a logical sequence.

5. Practice with Real Data:

- Work on hands-on projects using real-world data. Websites like Kaggle offer datasets and competitions for practicing data analysis and machine learning.

6. Coding Exercises:

- Practice coding regularly to build your skills. Sites like LeetCode and HackerRank offer coding challenges that can help improve your programming proficiency.

7. Learn Data Manipulation and Analysis Libraries:

- Familiarize yourself with Python libraries like NumPy, pandas, and Matplotlib for data manipulation, analysis, and visualization.

For more follow me on instagram.

[spacetimewithstuartgary]

New data model paves way for seamless collaboration among US and international astronomy institutions

Software engineers have been hard at work to establish a common language for a global conversation. The topic—revealing the mysteries of the universe. The U.S. National Science Foundation National Radio Astronomy Observatory (NSF NRAO) has been collaborating with U.S. and international astronomy institutions to establish a new open-source, standardized format for processing radio astronomical data, enabling interoperability between scientific institutions worldwide.

When telescopes are observing the universe, they collect vast amounts of data—for hours, months, even years at a time, depending on what they are studying. Combining data from different telescopes is especially useful to astronomers, to see different parts of the sky, or to observe the targets they are studying in more detail, or at different wavelengths. Each instrument has its own strengths, based on its location and capabilities.

"By setting this international standard, NRAO is taking a leadership role in ensuring that our global partners can efficiently utilize and share astronomical data," said Jan-Willem Steeb, the technical lead of the new data processing program at the NSF NRAO. "This foundational work is crucial as we prepare for the immense data volumes anticipated from projects like the Wideband Sensitivity Upgrade to the Atacama Large Millimeter/submillimeter Array and the Square Kilometer Array Observatory in Australia and South Africa."

By addressing these key aspects, the new data model establishes a foundation for seamless data sharing and processing across various radio telescope platforms, both current and future.

International astronomy institutions collaborating with the NSF NRAO on this process include the Square Kilometer Array Observatory (SKAO), the South African Radio Astronomy Observatory (SARAO), the European Southern Observatory (ESO), the National Astronomical Observatory of Japan (NAOJ), and Joint Institute for Very Long Baseline Interferometry European Research Infrastructure Consortium (JIVE).

The new data model was tested with example datasets from approximately 10 different instruments, including existing telescopes like the Australian Square Kilometer Array Pathfinder and simulated data from proposed future instruments like the NSF NRAO's Next Generation Very Large Array. This broader collaboration ensures the model meets diverse needs across the global astronomy community.

Extensive testing completed throughout this process ensures compatibility and functionality across a wide range of instruments. By addressing these aspects, the new data model establishes a more robust, flexible, and future-proof foundation for data sharing and processing in radio astronomy, significantly improving upon historical models.

"The new model is designed to address the limitations of aging models, in use for over 30 years, and created when computing capabilities were vastly different," adds Jeff Kern, who leads software development for the NSF NRAO.

"The new model updates the data architecture to align with current and future computing needs, and is built to handle the massive data volumes expected from next-generation instruments. It will be scalable, which ensures the model can cope with the exponential growth in data from future developments in radio telescopes."

As part of this initiative, the NSF NRAO plans to release additional materials, including guides for various instruments and example datasets from multiple international partners.

"The new data model is completely open-source and integrated into the Python ecosystem, making it easily accessible and usable by the broader scientific community," explains Steeb. "Our project promotes accessibility and ease of use, which we hope will encourage widespread adoption and ongoing development."

[projectadulthood]

39 Best Websites to Find Free Textbooks, Research Papers, Study Guides, and Books

Whether you’ve just received a long list of textbooks you need for a specific uni class or are looking for a particular book/research paper for a high school project, books (and journal subscriptions) can be expensive.

The good news is that there are plenty of resources online where you can find free PDF versions of most written materials, starting with Atkinson & Hilgard’s Introduction to Psychology and ending with Shakespeare’s Macbeth.

Note that although some of the websites below provide access to copyright-free texts only, or texts that publishers/authors have agreed to share freely, others have been accused of internet privacy.

However, many people see open access practices as morally acceptable, especially considering the unsustainable prices of academic textbooks and papers.

To quote a recent paper on the topic:

"Since shadow libraries are a product of the cooperation between scholars, who contribute texts and other resources (such as donations, volunteer work, etc.), shadow libraries represent a ‘bottom-up’, radical approach to open access: a physical approximation of the Platonic ideal of knowledge sharing that would exist if there were no legal, economic, or institutional barriers to the circulation of scholarly knowledge."

Free Textbooks

Library Genesis

Library Genesis, or Libgen for short, is a shadow online library website where college students can find academic books (including those that are hard to find/very expensive) and scholarly journal articles.

The site also hosts general-interest books, audiobooks, comics, magazines, and images.

Z-Library

Z-Library is another shadow library website that hosts college textbooks, scholarly journal articles, and general-interest books. It calls itself “the world’s largest e-book library.” It mirrors Library Genesis.

The front page also features some of the most popular books at the time. When we viewed it, these included “Thinking Fast and Slow” by Daniel Kahneman, The Book Thief by Markus Zusak, and Harry Potter the Complete Collection by J. K. Rowling.

You can also use the right-hand navigation menu to see the books that have been added most recently, as well as sort through books based on category.

Use the Book Request option if you can’t find a book you’re looking for. There’s no guarantee your book will be added, but community members look at requests to see what books to upload (you can also upload books).

PDF Drive

PDF Drive is an online library with a ton of free ebooks and PDF textbooks in various categories, including academic & education (but also lifestyle, personal growth, art, linguistics, etc.)

ForCoder.su

Forcoder.su has lots of online textbooks on programming. It also provides free access to online courses, like Apache Kafka for beginners and object-oriented programming with Python. Currently, there are hundreds of free courses available.

Online Mathematics Textbooks

Online Mathematics Textbooks is your source for free digital textbooks on all things math. It’s just one page featuring 77 textbooks.

Tech Books for Free Download

Tech Books for Free Download is where you’ll find free science and engineering books on topics ranging from data mining to general relativity.

There’s no way to search for books easily. However, the site is divided into books on Linux, Java, Microsoft, C and C++, Perl/Python, Science, Networking, Database, Security, and Assembly.

Free Tech Books

Free Tech Books is an open textbook library. It provides access to free computer science books and textbooks, plus lecture notes. All the books and lecture notes listed on this site are freely available on authors’ and/or publishers’ sites.

You can browse books by category (computer science, mathematics, supporting fields, operating system, programming/scripting, miscellaneous), author, publisher, or license.

Directory of Open Access Books

Directory of Open Access Books (DOAB) is a website that indexes and provides access to academic, peer-reviewed open-access books. All disciplines are covered, but there’s a particular emphasis on humanities, social sciences, and law.

Ubiquity Press

Ubiquity Press has been an open-access publisher of academic, peer-reviewed books and journals since 2012. It was founded by University of College London (UCL) researchers.

Research Papers

Sci-Hub

Sci-hub has the most expansive collection of research papers. Its mission is to “remove all barriers in the way of science.”

Directory of Open Access Journals

Directory of Open Access Journals (DOAJ) is an online directory of open-access, peer-reviewed research journals covering humanities, social sciences, technology, science, medicine, and art.

The directory indexes journals from different countries and languages. DOAJ is supported financially by publishers, libraries, and other organizations.

Wiley Open Access

Wiley Open Access provides peer-reviewed open-access journals across topics like biochemistry, economics, sociology, mathematics, and law.

SpringerOpen

SpringerOpen publishes open-access journals across a wide range of areas, mainly STEM.

Elsevier

Elsevier publishes open-access, peer-reviewed journals. You can search for journals by title, keyword, or subject (dentistry, nursing, decision sciences, etc.)

Springer Link

Springer Link provides access to ebooks, peer-reviewed journal articles, and other resources (mostly scientific).

BASE

BASE is a search engine for academic texts, including journals, digital collections, institutional repositories, etc. You can access about 60% of the indexed texts for free.

Study Guides

Bibliomania

Bibliomania has study guides to the most-read books, like “A Hero of Our Time,” “Animal Farm,” and even Irish politics. It also has over 2,000 classic texts, book summaries, author biographies, and more.

Books

Open Library

Open Library is an open library catalog of more than 3 million new and old books. The project was created by the nonprofit organization Internet Archive. It has also received partial funding from Kahle/Austin Foundation and the California State Library.

You can read old books without an account. However, for new books, you’ll need to set one up (it takes just a few minutes).

Internet Archive

Internet Archive is a digital library of ebooks. It also has free movies, music, and software.

Project Gutenberg

Project Gutenberg is a famous site where you can find lots of free books. There are more than 60,000 books in its collection.

Standard Ebooks

Standard Ebooks take public domain texts and make them as nice as new books. They fix typographical errors and typos, create cool cover art, and format the text for e-readers like Kindle and iPad.

Planet eBook

Planet eBook is where you can download free PDF copies of classics like Franz Kafka’s The Metamorphosis, Fyodor Dostoyevsky’s Crime and Punishment, and Joseph Conrad’s Heart of Darkness.

What really makes Planet eBook stand out is its UX. It’s one of those rare sites that are super easy to navigate and actually look good (aesthetically speaking).

The Ultimate Book Search Engine

The Ultimate Book Search Engine is an ebook search engine that includes 350 open directory sites that relate to ebooks. It was created by the Reddit user u/NotoriousYEG.

Classic Bookshelf

The Classic Bookshelf is a site where you’ll find lots of classic novels, everything from Charles Dickens and Leo Tolstoy.

Literature.org

Literature.org features classic works of English literature, both fiction and non-fiction.

Bartleby

Bartleby is a site that features both fiction and nonfiction books.

Fiction.us

Fiction.us has a ton of books, including fiction, short stories, children's picture books, poetry, books on writing, and plays.

Classic Literature Library

As the name suggests, Classic Literature Library is where you’ll find classic literature works.

Ideology.us

Ideology.us is a site that has ebooks on philosophy, psychology, sociology, politics, and education.

The Complete Works of William Shakespeare

The Complete Works of William Shakespeare is where you’ll find all of Shakespeare’s work. The site is run by The Tech, the largest and oldest newspaper by the Massachusetts Institute of Technology in Cambridge.

Read Books Online

Read Books Online has around 6,000 ebooks, including novels, short stories, poems, essays, plays, and non-fiction.

Public Bookshelf

Public Bookshelf is a site dedicated to romance novels.

Categories of ebooks here include contemporary romance, romantic suspense, historical romance, regency romance, inspirational romance, vampire romance, western romance, general romance, and fantasy and paranormal romance.

The Perseus Project

The Perseus Project is a digital library created by Tufts University with books from Ancient Rome and Greece, published in original languages and English.

Chest of Books

Chest of Books has books on a ton of different subjects, including animals, finance, real estate, science, and travel.

The Literature Network

The Literature Network has books by authors like Anne Bronte, Lewis Carroll, and Lord George Gordon Byron. It also features forums, literature summaries, and quizzes.

The Online Books Page

The Online Books Page is a site by the University of Pennsylvania that houses books in categories like philosophy, history, medicine, science, agriculture, music, anthropology, and more. The site also links to the following:

Banned Books Online: A directory of books that were once banned and links to places where you can read them in full.

A Celebration of Women Writers: A directory that lists online editions of literary works by women as well as resources about women writers.

Prize Winners Online: A directory of prize-winning books.

Many Books

Many Books is “your friendly neighborhood library.” It houses over 50,000 books in genres like romance, mystery, young adult, horror, and non-fiction. You can read books online or download them to your device.

Authorama

Authorama turns public domain books on sites like Google Books and Project Gutenberg into HTML format, making it easier to read them.

Audiobooks

Librivox

Librivox has free audiobooks that you can listen to from any device.

[virtualgirladvance]

hi! im applying to college soon and ive always wanted to do human sciences, but recently ive switched one of my subjects to CS and decided i want to do something more objective and math-y. i think having a degree related to computers will give me more time to think about the field i want to work in. this decision was a bit impulsive and tbh you played a big role in sparking my interest and making computing seem accessible. in general i feel like ive always been interested in it (my dad knows a lot), but ive just never considered it a real opportunity that i would ever be able to do. Rn i feel like all cis guys built their own computers since they were 11 and would have an advantage over me (in this country unis require you to show personal engagement and skill relating to the course you apply for). i wonder if you have any opinions on whether its even worth to do computer-related stuff in uni if i dont have any real knowledge about it besides "useful in life", how poorly will i be treated in the field as a trans guy, and if you have some suggestions on the topics and materials i can study to improve my knowledge

honestly even if you dont go fully into CS just having a course or two will help you get started in doing really useful things in whatever direction you end up going. the amount of times i hear someone becoming crazy useful just because they know some basic scripting or something is amazing.

i put my own computer together in highschool and beyond know what parts are in a pc and how to install an operating system it didnt really help at all in uni. if you have time and the interest look into maybe doing a basic programming course or a bridging course. having a few basic projects to show youre interested and willing to work on it looks really good to applications i imagine(schools here are just entrance on grades so I dont for sure but ive heard good things)

honestly uni is most just exploring stuff to help you figure out what you vibe with enough to peruse, its really common to change degrees part way through cause locking into a field of study in your teens is just not fun

as for the cis dude dominance yeah i got nothing, i know plenty of not cis guys doing well and some putting up with bs for it. if you enjoy the field then do it, going to be putting up with shitty people regardless so might as well do something you enjoy/are interested in.

ive been out of the loop on what are good starting resources but honestly finding an intro course/tutorial on C or python seems like a good way to get a taste for it. hopefully others can add some recommendations

hope you have luck and fun in whatever choice you make, i know its a tough decision to make so props to you for reaching out

[curiositycoded-yo]

introduction:)

about me

Helloo~ 👋🏽

I'm Raeshelle! She/Her, 25

I'm not new to studyblr, langblr, or codeblr, but I decided to make this new account to follow my new journey in all things tech and language. My main point in making this is to track my progress in college, share my study related content and to keep up both accountability and motivation for myself.

I'm studying data science and data analytics in college with hopes of working in artificial intelligence and machine learning in the future. I already have a background of being a full stack web developer and a bit of game design so I'm already familiar with a lot of the basic coding concepts.

Aside from tech, I love gaming, learning languages (currently learning Korean!), binging kdramas, fiction writing and so much more.

I'm excited to meet anyone else who's on a similar path!

what will I post about?

my learning journey - any topics that were difficult for me, general info about what I'm learning (Python, sql, statistics, etc)

tips for improving Korean

probably some kpop/kdrama content

reblogs about coding, korean, studying in general

goals

keep up a consistent study habit!

build some cool portfolio projects!

make helpful youtube videos!

minimizing my perfectionism!

I would love to interact with anyone that

is also studying computer science in any discipline, though other data nerds are very welcome

is learning korean, japanese, mandarin, cantonese, tagolog

loves kdrama or kpop

is nuerodivergent in some way

is also a minority in their field

is a fellow cajun koi academy student

is 18+

im excited to start this journey with yall!

Goodbye~~

[climbcredit]

Where to Learn to Code for Free

App Academy Open

In signing up for App Academy Open, you’ll access more than 1,500 hours of completely-free curriculum that includes machine learning, data science, data structures, computer programming languages, and building frameworks for iOS and Android mobile apps — as well as how to apply these skills, step-by-step, in real-world applications. And if you’d like additional support, you’ll also have the option of utilizing the $29.99/month mentorship program for features such as an instructor-led chatroom with the opportunity to work alongside other App Academy Open students!

Visit App Academy Open

Codecademy

Codecademy is a popular platform for beginning a coding journey. You can start from square one, or you can evaluate your skills to find the level that suits you the best. And their instant-testing of coding skills (including HTML & CSS, JavaScript, PHP, Python, Ruby, Angularjs, The Command Line, and more) allows you to learn and practice in real-time to make sure you’re understanding concepts correctly.

Visit Codecademy

freeCodeCamp

freeCodeCamp.org is a nonprofit that offers around 3,000 hours of coding curriculum, but they also go beyond that. Once you’ve finished learning to code, they’ll give you the opportunity to work on projects for other nonprofits. This way, you’ll get hands-on, real-world experience while earning your free certification.

Visit freeCodeCamp

Khan Academy

Like freeCodeCamp, Khan Academy is also a nonprofit — however, rather than focusing on tech, they instead offer a wide range of programs. While their selection of coding classes may not be as robust as other platforms, they are a great place for beginners and even provide courses for young children, to begin building their skills early!

Visit Khan Academy

Coursera

Coursera also opts not only to offer courses in which to learn to code, but also a range of programs provided through other colleges, universities, and companies. Although, while there are several free courses available in addition to paid, any certifications would only be accessible through their paid options.

Visit Coursera

Udemy

Similar to Coursera and Khan Academy, Udemy offers courses covering a variety of topics, which includes a section on coding. And although most of their courses are paid (costing roughly $20–$200 each), they do have some free options available as well — although you’ll only be able to view the video content. Any certifications or instructor interactions are only included in their paid programs. Additionally, you’ll want to make sure to check star ratings, reviews, and instructor credentials, since anyone can add a class to Udemy’s site!

Visit Udemy