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Homework Help
Ai math solver, ai answer generator.
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StudyX Homework Helper spans a wide range of subjects to support your academic journey. These include math, physics, chemistry, biology, computer science, economics, and more. By providing comprehensive support across multiple disciplines, StudyX helps you tackle homework questions and grasp complex concepts across various fields.
Can StudyX Solve Geometry Problems?
If youâre asking about geometry, our Math Solver model primarily focuses on algebraic equations and other math problems. While it's great at those, it currently can't generate solid geometry figures. But hey, itâs always improving!
How Accurate is StudyX as a Homework AI Helper?
StudyX Homework Helper is built with advanced algorithms and is regularly updated to ensure about 98% accuracy in solving problems and providing explanations. However, just like with any tool, it's a good idea to cross-check the solutions when possible.
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StudyX Homework Helper is here to help you learn and understand better. Itâs important to use it responsibly and follow your schoolâs academic integrity policies. Think of it as your study buddy, not a shortcut.
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GitHub Classroom
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GitHub Spark
Can we enable anyone to create or adapt software for themselves, using AI and a fully-managed runtime?
đ If youâd like to try out GitHub Spark, then sign up for the technical preview .
As developers, we love to customize our environment, and to build tools that fit our unique preferences and workflows. We do this not just because it improves productivity and ergonomics, but also, because it makes our daily routine feel more personal . And when things feel personal, theyâre typically more fun .
However, while we may invest in things like managing dotfiles, writing automation scripts, or configuring editor settings, how often do we pass up ideas for making our own apps? Not necessarily because we couldnât build them, but because they seem too short-lived, niche, or time-consuming to prioritize? đ©
And in this lies the irony with software today: we have powerful computers on our desks and in our pockets, but they arenât nearly as personalized as they could be. Instead, we rely on general-purpose tools that were designed by and for someone else, because the complexity of creating bespoke apps is too high.
Which raises two interesting questions: how could we make personalizing our software as easy as personalizing our dev environment? And then enable those around us to do the same? Not because that should be necessaryâbut because it could be fun đ
Introducing GitHub Spark
GitHub Spark is an AI-powered tool for creating and sharing micro apps (âsparksâ), which can be tailored to your exact needs and preferences, and are directly usable from your desktop and mobile devices. Without needing to write or deploy any code.
And it enables this through a combination of three tightly-integrated components:
- An NL-based editor , which allows easily describing your ideas, and then refining them over time
- A managed runtime environment , which hosts your sparks, and provides them access to data storage, theming, and LLMs
- A PWA-enabled dashboard, which lets you manage and launch your sparks from anywhere
Additionally, GitHub Spark allows you to share your sparks with others, and control whether they get read-only or read-write permissions. They can then choose to favorite the sparkâand use it directlyâor remix it, in order to further adapt it to their preferences. BecauseâŠya knowâŠpersonalization!
So letâs take a look at how it works đŹ
What are âmicro appsâ?
GitHub Spark subscribes to the Unix philosophy for apps, where software can be unapologetic about doing one thing, and doing it wellâspecifically for you, and the duration of time that itâs useful. So âmicroâ doesnât refer to the size of the appâs value, but rather, the size of its intended feature complexity.
For example, here are some sparks that the team made (and use!), during the process of creating GitHub Spark. These range from life management tools, learning aids, silly animations, and news clients. But the common thread across them all is: they look and feel exactly how the creator wanted them to. Nothing more and absolutely nothing less â€ïž
So with that context in mind, letâs talk about the âwhat?â and âwhy?â behind the major components of GitHub Spark đ
NL-based toolchain
When creating an app, you have to know what you want. And not just the general idea, but also the exact set of features, detailed interaction behaviors, and the overall look and feel of it. Unfortunately, this can get quite complicated, and may be overwhelming enough to prevent some from even trying. Which is exactly the problem weâre looking to solve!
GitHub Spark mitigates this, by enabling you to start with a simple idea (âAn app to track my kidâs allowanceâ), and then allowing complexity to slowly emerge through âassisted explorationâ. In particular, itâs NL-based editor is designed to make forward progress feel easyâand playful!âusing four core iteration capabilities:
Interactive previews
Revision variants, automatic history, model selection.
When you type an NL expression into GitHub Spark, it doesnât just generate codeâit immediately runs and displays it via an interactive preview. This âapp-centric feedback loopâ allows you to specify as little or as much detail as you want, and then iterate as you visually learn more about your intent (âHmm, I guess I wanted a toggle button here!â).
When you create or iterate on a spark, you can optionally request a set of variants. This will generate 3-6 different versions of your request, each with subtle yet meaningful deviations. And since you might know you want a feature, but not quite know how it should look or behave, it can be helpful to get ideas that inform and expand on your thinking. Like an AI thought partner!
As you iterate on a spark, every revision is automatically saved and can be restored in a single click. This allows you to explore ideas (and variants) without worrying about losing any progress. And more importantly, without requiring you to manage version control yourself. This enables a sort of âcuriosity-driven developmentâ, where you can have an idea, and then try it out, without any fear of negative consequences (e.g. messing up your app).
From a collaboration perspective, history is also compelling because it provides a form of âsemantic view sourceâ whenever someone shares a spark with you. While creating GitHub Spark, we found that weâd naturally share new ideas with each other, and then immediately look at the history to see how they made it. Itâs almost like being able to peek into the minds of others, and see their serialized thought process.
When you create or revise a spark, you can choose from one of four AI models: Claude Sonnet 3.5, GPT-4o, o1-preview, and o1-mini. This is neat because it allows you to try an idea, and if you donât get what you expected, you can undo and try again with an entirely different model. Additionally, the history tracks which model you used for each revision, which allows you to see how your sparks evolve over time.
Selecting a model when creating a new spark
Selecting a model when revising an existing spark
Managed runtime environment
We refer to GitHub Spark as an âapp centricâ tool (vs. a âcode centricâ tool). Not because it doesnât allow you to see or edit the code (it does!), but because itâs designed for creating apps that are meant to be seen, felt, and usedâas opposed to simply generating code, and then expecting you to do something with it (build, deploy, provision a database, etc.).
And it enables this by complimenting its toolchain with a managed runtime environment, that is built around four core capabilities:
Deployment-free hosting
Themable design system, persistent data storage, integrated model prompting.
When you create or revise a spark, the changes are automatically deployed, and can be run and installed on your desktop, tablet, or mobile device (via a PWA). In this sense, GitHub Spark is kind of like a micro app cloud, which collapses the act of creating, deploying, and using software into a single gesture: expressing your ideas through natural language đ
Viewing your dashboard of sparks and then opening one on your phone
To ensure that your apps look and feel nice, GitHub Spark includes a set of built-in UI components, and a themable design system. So whenever you create a new app, things like form controls, layout, and icons should seem polished out-of-the-box. And if you want to tweak anything further, you can use the theme editor to change the default accent color, border radius, app spacing, and color theme (light/dark).
Before and after modifying the theme properties of a spark
Whether youâre making a todo list, a gardening planner, or a tic-tac-toe game, most interesting apps need to store data. And the GitHub Spark runtime has you covered, by providing a managed key-value store, and automatically knowing when to use it. Additionally, GitHub Spark provides a data editor, which lets you easily see and edit the data your spark is using. That way you have full control over any state, but without needing to worry about any of the details.
Viewing the data that a spark is storing, and then editing a specific key/value
The GitHub Spark runtime is integrated with GitHub Models , and allows you to add generative AI features to your sparks, without any knowledge of LLMs (e.g. summarizing a document, generating stories for a childrenâs bedtime app). Additionally, it provides a prompt editor, which lets you see the prompts that GitHub Spark generates, and enables you to tweak them if neededâwithout needing to edit any code.
Viewing the AI prompts that your spark is using, and then editing one manually
Phew! That was a lot. But in order for GitHub Spark to enable the aspiration we have (reducing the cost of app creation to zero), we felt like this toolchain and runtime were absolutely necessary. And we think thatâs users are going to love the way it feels đ„°
Whatâs next?
As a technical preview, GitHub Spark is still very early, and has a loooong list of TODOs. But over the next few months, weâre looking forward to admitting users off the waitlist, and iterating closely with them every week . So if youâre interested in taking this journey with us, then check out the FAQ and then join in on the fun over at the GitHub Next Discord server đ
That said, if youâre curious about what things are top of mind, you can expect to see us exploring into the following directions:
- Expanding the collaboration modalities (e.g. a public gallery, allowing users to perform a semantic merge of changes that someone made in a fork of their spark, multi-player)
- Expanding the editor surface (e.g. providing an âx-ray modeâ that allows summarizing and adjusting precise behaviors of the app)
- Expanding the runtime environment (e.g. more built-in components, better integration with 3rd party services, enabling file storage and vector search).
- Lots of other cool stuff that we haven't even thought of!
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A nice app to organize your homework and let you see classes, calendar info, and assignments in one place. - CyanCoding/Homework-App
About. esigned to help students and teachers streamline the process of assigning, tracking, and completing homework. Resources
The Homework App is a powerful tool to help you streamline the assignment management process for students and educators. Before you can join the demo room and start managing assignments with the Homework App, you'll need to create an account. Follow these steps to sign up: Open the Homework App ...
homework task app. GitHub Gist: instantly share code, notes, and snippets.
It is the best app for doing homework and it has everyone solutions and must try this app đđ». my recommendation so please try this I love this app teachers are very impressed . September 03, 2024. Anisa Aqila. 5. Bagi saya studyX ini sangat berguna untuk para pelajar. Dan membuat PR pun semakin mudah.
A 24/7 free homework AI tutor that instantly provides personalized step-by-step guidance, explanations, and examples for any homework problem. Improve your grades with our AI homework helper!
GitHub Classroom. Automate your course and focus on teaching. Managing and organizing your class is easy with GitHub Classroom. Track and manage assignments in your dashboard, grade work automatically, and help students when they get stuckâ all while using GitHub, the industry-standard tool developers use.
GitHub is where The Homework App builds software.
To ensure that your apps look and feel nice, GitHub Spark includes a set of built-in UI components, and a themable design system. So whenever you create a new app, things like form controls, layout, and icons should seem polished out-of-the-box. And if you want to tweak anything further, you can use the theme editor to change the default accent ...
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