Configure Python Projects Using pyproject.toml — PickAClass
⏱ 2 oras 48 min 📚 28 aralin 🎧 Audio version

Configure Python Projects Using pyproject.toml

Learn how to centralize metadata, dependencies, and tooling configuration for any Python project using the modern standard.

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Tungkol sa kursong ito

Python packaging traditionally involved many disparate configuration files, making project setup complex and inconsistent. To build professional, maintainable projects, you need a single, unified approach that streamlines configuration. This course demystifies modern Python project configuration using the pyproject.toml standard. You will gain the foundational skills required to define project metadata, manage dependencies efficiently, and integrate essential development tools, ensuring your packages are easy to build and distribute. What you'll learn: * Understand the purpose and structure of the pyproject.toml file and the standards it encompasses. * Define core project metadata, including versioning, authors, and licensing, using the standardized [project] table. * Manage runtime and development dependencies effectively, leveraging dependency groups and environment markers. * Configure modern build backends and understand the build process for creating source and binary distributions. * Apply pyproject.toml to centralize settings for common development tools, such as linters, formatters, and test runners like pytest. * Practice setting up a complete, professional Python package from scratch using the modern configuration approach. The course begins by covering foundational concepts and the evolution of Python packaging standards. You will read detailed, written explanations and work through practical configuration examples to apply the patterns immediately. This course is designed for beginner Python developers, students, and engineers who want to learn the current best practices for setting up and distributing Python packages. No prior experience with complex packaging tools is required. Start building maintainable and professional Python projects today.

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    2 oras 48 min ng practical content

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Configure Python Projects Using pyproject.toml
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PickAClass — Pangalan Apelyido
Configure Python Projects Using pyproject.toml
Pahina 2 ng 2
Detalye ng performance
Buod ng coursework
Mga araling natapos 14 / 14
Practice questions 26 / 28
Mga assignment na isinumite 4 (avg 4.5 / 5)
Capstone project Nasuri — 4.6 / 5
Kabuuang practice 6.2 oras
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Cohort rank Top 12% sa 1,625
Oras hanggang matapos 11 araw (median: 22)
Mastery score 91 / 100
Practice-question score 94%
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