Six Figure Career
So you want a job in Machine Learning? Do we have the package for you!
Usage
pip install sixfigurecareer
Design Goals
You don't need even need to install tensorflow, pytorch. Let's be honest you never figured out how to actually install CUDA. But just between in us, In case it comes up in a tech screen you can just select GPU from the notebook settings in Google Collab and congrats you are now a GPU programmer!
Who reads papers nowadays or open source code for that matter? In the old days people actually ran pip install some_transformer, looked at the usage guide and genuinely tried to solve a problem. GASP
Can you imagine? People coming up with their own datasets? Their own modifications? Their own ideas? Heresy!
What's the point of it all anyways? All you wanted to do was pad your CV with cookbook tutorials on medium so you could get those sweet dineros. If something broke, you just cracked your knuckles and opened up a Github issue letting the maintainer know that they're not really doing that good of a job.
Don't wait!
Just
pip install sixfigurecareer
Contribution guide
There are no possible issues you can bring up, this is foolproof, guaranteed, six figures! Feel free to open up some issues, I will ignore them all!
Acknowledgements
Thank you academia for only providing five figure salaries and open source maintainers for helping me make six figures off of your work.
Metadata
Release files for sixfigurecareer 6.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sixfigurecareer-6.9-py3-none-any.whl | Python 3 | none | any | Details |
Release files / sixfigurecareer-6.9-py3-none-any.whl
| Download URL | sixfigurecareer-6.9-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
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