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Use LangChain and GPT to turn English questions about a database or CSV into SQL or pandas commands, then return answers in natural language.
Build a question-and-answer agent with LangChain and OpenAI that answers questions using your own text data.
Build a quick image classifier for orangutans and Komodo dragons using a pretrained ResNet with torchvision.
See how Python’s `@cache` and `lru_cache` decorators reuse results to avoid repeated computations, with examples and performance comparisons.
Refactor numerical Python code with NumPy vectorization to replace familiar loops with faster, more concise operations.
Build a Fashion-MNIST neural network in PyTorch, then use Torchviz to inspect its computational graph and gradient flow.
Build a Python command-line tool that sets up a project and starts a todo task in one command.
See how least significant bit replacement hides and retrieves messages in digital images through a Python demonstration.
Build a professional CV in RStudio using vitae templates and R Markdown knitting features.
Practice Python unit testing on a package, including mocking print output before publishing an updated release.
Create a weekly rolling sum grouped by ISO weeks using Python’s standard library, with itertools.groupby and a simple loop.
Learn to break a monolithic Python function into smaller, testable functions through a practical refactoring of a Python package.
Move a Brownie smart contract from a local blockchain to Rinkeby, then verify it on Etherscan so wallets can interact with it.
Package a Python command-line productivity tool, build wheel and source distributions, and publish it on PyPI.
Write Python-based unit tests with Brownie and pytest to check the main functions of an Ethereum ballot smart contract.
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