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Asabeneh/30-Days-Of-Python

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cached 2026-03-31T09:59:46.129Z
1mo ago

Asabeneh/30-Days-Of-Python

A large, highly forked Python learning repository built around a 30-day challenge. It is organized as sequential day-by-day lessons from introduction through APIs and concludes with multilingual translations and supporting files.

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Default branchmaster
Last pushed2026-03-04T12:06:18Z
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Prefer upstream unless you specifically want a frozen 2022-era copy. This fork adds no clear functionality and is substantially behind on maintenance and content.

Prefer upstream unless you need an exact older snapshot; this fork offers no added functionality and is materially behind on maintenance.

Pick this fork if you want a Russian-oriented, cleaned-up version of the course and do not need the newest upstream updates. Stick with upstream if freshness, completeness, and long-term maintenance matter more.

Choose this fork if Chinese-language learning support matters more than staying current with upstream. Choose upstream if you want the latest maintained version and broader reference coverage.

Choose this fork only if you want a mostly unchanged snapshot of the course; choose upstream if you want the latest fixes and maintained content.

Prefer upstream unless you specifically want a frozen, unmodified copy. This fork offers no clear added value and is materially behind on maintenance.

Choose this fork only if you want a mostly frozen snapshot of the 30 Days of Python course. If you want the latest fixes, corrections, and maintenance, upstream is the better choice.

Choose this fork only if you want a slightly pared-down, notebook-oriented copy and do not need the latest upstream coverage. If you want the fullest curriculum and the most recent fixes, upstream is the safer choice.

Choose this fork only if you want the upstream course as-is and do not care about being current. If you want the freshest fixes and lessons, upstream is the better default.

Prefer upstream unless you specifically want an older snapshot. This fork adds no visible functionality and is far behind current upstream content, so it is a weaker choice for active learning or reuse.