Git, APIs and Backend for AI: Beginner

Twenty-two pages that turn a Python learner into someone who can version code, call any web API and build a small backend. You learn the terminal and environments, Git from the first commit to branches, merge conflicts and undoing mistakes, GitHub remotes and pull requests, how HTTP and REST really work, calling APIs with curl and requests (timeouts, retries, pagination, an LLM-style chat API), and your first FastAPI app with Pydantic validation and pytest.

Everything runs offline against the BitByte Practice API, so your output matches the page. It ends with a project: a tested Data Explorer API published through a pull-request workflow. Written in English and Bangla.