# qxresearch-event-1 lists 26 applications and keeps ten of them elsewhere

> A tutorial repository of short Python applications with a video walkthrough for each. Sixteen of the twenty-six listed entries point into Applications/ here, ten point at two other repositories under a different account, and two of those resolve to an image file rather than to code. The single documented install command names a requirements file the top-level listing does not contain.

**qxresearch/qxresearch-event-1** — Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2

- Repository: https://github.com/qxresearch/qxresearch-event-1
- Website: https://www.youtube.com/qxresearch
- Stars: 3,004 · Forks: 864
- Language: Python
- License: MIT
- Published: 2026-09-10 · Updated: 2026-09-10 · Language: en
- Canonical page: https://hysenlabs.com/projects/qxresearch-qxresearch-event-1

## Ten of the twenty-six listed applications live elsewhere

The repository description calls the contents 50+ Python applications with 10 lines of code, and the README repeats that as fifty or more with only ten lines of code. The lists themselves are shorter than either claim.

The Python Application section has seventeen entries and the Machine Learning section has nine, twenty-six in total. Of those, sixteen link to directories under `Applications/` in this repository.

The other ten do not. One, Schedule YouTube Video, points at a separate repository, `Schedule-YouTube-video-Python`, under the account xiaowuc2. And all nine of the machine learning entries point at `xiaowuc2/ChatGPT-Python-Applications` or at a file inside it.

So the collection is an index that spans at least three repositories, and the name on the description, @xiaowuc2, is the account that owns most of the parts you are being sent to. The repository you are reading is the one that holds the smaller share.

That is not a criticism of how the page is written; it reads as one person's collected work gathered into a single index. It does mean that a reader who clones this repository and follows the links gets a fraction of what the README describes.

## Two of the links resolve to a PNG rather than to code

The machine learning list is headed by a single literal word, `chatGPT`, set in code formatting, which reads as a category label rather than a heading.

Under it, two entries do not link to code. `your-prespective` links to a raw image path ending in `resource/git4.png`, and `bhagavad-gita-gpt` links to that exact same URL. Two different projects, one identical picture.

That is the kind of mistake a hand-maintained index accumulates, and the surrounding entries suggest what was meant: the other seven point at directory or notebook paths in the same xiaowuc2 repository, so a reader who clicks through those two gets a screenshot rather than a notebook.

There is a third slip in the same list. The entry is labelled `vector-databse` and links to a notebook called `Vector_Databse.ipynb`, so the misspelling is in both the label and the filename, and any search for it has to reproduce the error. Its description is also the plainest on the page: this is how you can send big text files to chatgpt and avoid the token limits.

None of these are fatal. They are the fingerprints of a list assembled by hand over time, which is the same character the rest of the repository has.

## Four directory names do not match their labels

The links encode the directory names in the URL, so the labels and the paths can be compared directly, and in four cases they differ.

Password Protect PDF is labelled with the word Protect and its path says `Password Protech PDF`. Screenshot taker points at a directory called `ScreenShot`. Wikipedia Search Engine points at `Search Engine`. And audiobook is lowercased while every other directory in that section is title-cased.

One more label error sits in the prose rather than the path: the Wikipedia entry describes itself as a Wekipedia API integrated tkinter based search engine.

These are small, and none of them stops a reader following a link. What they do tell you is that the paths were filled in at different times by different hands, which is worth knowing before you assume a missing directory is a broken link.

One entry resolves differently from all of these. Schedule YouTube Video is described as a Python script that will play a YouTube video at a scheduled time, and it is the only item in the Python Application list that points outside this repository.

## The install step list starts with starring the repository

The Setup section points at a video walkthrough for installing dependencies and generating API keys, then restates the steps in text. There are four, and the first is not a technical instruction:

Star this repository, in the top right corner. Then use Code, Download ZIP, and open a command prompt or terminal in that location. Then run one command:

```bash
pip install -r requirements.txt
```

Then replace the API keys in the `yml` files.

So the install path is a ZIP download rather than a clone, the dependency set is assumed to be one file, and the configuration is assumed to be YAML files holding keys. None of those three assumptions is stated as an assumption.

The page does add one honest caveat immediately afterwards, and it is the most useful line in the section: the setup for different projects might not be the same, so refer to the individual setup guides given for each project. That sentence quietly retracts the four steps above it, which is the right thing to say and the wrong place to say it.

## The one install command names a file the root does not contain

The top-level listing of this repository has seven entries: `.github/`, `Applications/`, `CODE_OF_CONDUCT.md`, `CONTRIBUTING.md`, `LICENSE`, `README.md` and `passpdf.py`.

There is no `requirements.txt` at the root, and no `yml` file either, which means both files the setup instructions point you at are absent from the listing the page can be checked against. They may well exist inside one of the sixteen application directories, since `Applications/` is not enumerated, but the README presents one command for the whole repository and the whole repository does not visibly contain what it needs.

The one loose Python file at the root is `passpdf.py`, and the application list names a Password Protect PDF directory. Those are almost certainly the same thing, but the page does not say so, and it is the only application in the list whose code sits outside `Applications/`.

Read together with the previous section, the install story is: a video, four steps that start with a star, one command referring to a file you cannot see, and a caveat telling you the steps probably do not apply to the project you actually came for.

## The homepage field is a YouTube channel, and training goes to an email address

The recorded homepage for this repository is a YouTube channel URL, and the README points at the same channel twice, once as a badge and once as a subscription request in the second paragraph.

So are the project's presence outside the repository. There is a GitHub Pages link at the top of the file, and a separate organisational site, and then a paragraph describing qxresearch AI as a high-fidelity systems engineering hub tracking structural AI applications, every walkthrough bridging rigorous core math into completely transparent, open-source code executions.

That paragraph and the fifty-applications paragraph above it describe two different things. One is a tutorial collection of ten-line scripts with YouTube walkthroughs. The other is a research positioning statement. Neither is wrong, and a reader arriving from a search for Python beginner projects gets the first.

Then the commercial line, which is the only one on the page: for one-to-one personalised training on Python, covering DSA and AI/ML, contact a personal gmail address. No organisation, no site, no scope of the engagement.

## MIT, one loose script, and a contributing guide that stops at item one

The licence is MIT and there is a LICENSE file at the root. There are no GitHub releases and no tags in the release history for this repository, so there is no version to pin and no published artefact to install.

The last push was on 2026-07-10. That is the only maintenance signal the repository offers, and it is the correct one to use: nothing on the page claims a release cadence.

The governance files are present, which is more than many tutorial repositories bother with. There is a CODE_OF_CONDUCT.md and a CONTRIBUTING.md, and the contributing section opens by saying any kind of contributions are welcome and that contributions are what make the open source community such an amazing place to learn, inspire and create.

Then the numbered list renders as a single item, `1. [*`, and the page ends there. So the repository ships a code of conduct, points at a contributing guide, and shows the reader the first line of a list that does not finish.

The documentation, meanwhile, lives outside the repository entirely, in the videos, which is consistent with everything else on the page and is the right call for a project whose subject is a two-minute script.

## Conclusion

Read qxresearch-event-1 as a curated index of small Python scripts with video walkthroughs rather than as a self-contained collection, because ten of its twenty-six listed applications live in two other repositories and two of the links resolve to an image instead of code. Do not expect one setup to cover it: the README says so itself, the four-step install opens with starring the repository and a ZIP download rather than a clone, and the only dependency command names a requirements file that is not in the top-level listing. Verify which of the sixteen local applications you actually need, since each carries its own setup guide, and read CONTRIBUTING.md before sending a pull request, because the contributing section on the page stops at its first numbered item.

## FAQ

### How do I install the projects in qxresearch-event-1?

The README gives four steps: star the repository, use Code > Download ZIP and open a terminal in that location, run `pip install -r requirements.txt`, and replace the API keys in the yml files. It also states that setup may differ per project and points to individual setup guides, and that a video walkthrough covers installing dependencies and generating API keys.

### Are all 50+ Python applications in the qxresearch-event-1 repository?

No. The README lists twenty-six applications with descriptions. Sixteen link to directories under Applications/ in this repository, one links to a Schedule YouTube Video repository under the xiaowuc2 account, and the nine machine learning entries sit under a chatGPT heading where eight point at the xiaowuc2 ChatGPT-Python-Applications repository and two of those resolve to a raw image file instead of code.

### What is passpdf.py at the root of qxresearch-event-1?

The top-level listing holds seven entries: .github/, Applications/, CODE_OF_CONDUCT.md, CONTRIBUTING.md, LICENSE, README.md and passpdf.py. The application list names a Password Protect PDF directory, which appears to be what this loose script corresponds to, though the page does not state that.

### Who maintains qxresearch-event-1?

The repository description credits @xiaowuc2, and most of the application repositories the README links to also sit under that account. The recorded homepage is a YouTube channel, and the README offers one-to-one personalised training on Python, covering DSA and AI/ML, at a contact email address.

## Sources

- [Issues](https://github.com/qxresearch/qxresearch-event-1/issues)
- [License: MIT](https://github.com/qxresearch/qxresearch-event-1/blob/master/LICENSE)
- [Project website](https://www.youtube.com/qxresearch)
- [qxresearch/qxresearch-event-1 on GitHub](https://github.com/qxresearch/qxresearch-event-1)
- [README](https://github.com/qxresearch/qxresearch-event-1/blob/master/README.md)

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Hysen Labs editorial analysis, written from the project's own repository and release notes. Cite the canonical page: https://hysenlabs.com/projects/qxresearch-qxresearch-event-1