LevT
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Frantishek
Может, разговорчики эти приватные (не для поделиться)?
Жаль если так
Searched 4 sites
"SICP in Python" has emerged from the need to explore the core concepts of Structure and Interpretation of Computer Programs (SICP)—originally written for Scheme—in a more widely used language like Python. Several resources achieve this translation while preserving SICP's focus on fundamental ideas in computer science, including abstraction, recursion, and data structures.
Composing Programs by John DeNero is a prominent Python adaptation of SICP and serves as the main text for UC Berkeley’s CS61A course. It offers a structured approach to SICP concepts using Python 3, covering topics such as functional programming, data abstraction, and interpreter construction, complemented by exercises and projects. This text is available online and free to access, making it a strong choice for studying SICP in Python format.
Wizardforcel's SICP in Python provides a translated version of the SICP text, with chapters and exercises rephrased in Python. This version closely follows the structure of SICP, giving users familiar with the original work a straightforward Python adaptation.
Pedro Kroger’s Notes give an informal, hands-on translation of SICP sections into Python. These notes are ideal for those who want to experiment with translating Scheme exercises into Python without following a strict curriculum format.
Additionally, Hacker News discussions around "Composing Programs" highlight community support for DeNero’s text, praising it as an accessible, effective resource for Python learners inspired by SICP's depth and methodology.
For comprehensive coverage, check out both Composing Programs and Wizardforcel’s SICP in Python, as these resources bring SICP’s philosophy to Python with thorough explanations and practical examples.
Sources:
COMPOSING PROGRAMS
tp:​
WIZARD FORCE
iza​
PEDRO KROGER
/wizardforcel.gitbooks.io/sicp-in-python/content/)
Pedro Kroger’s SICP in Python
И прямые ссылки на все 4 источника.
https://wizardforcel.gitbooks.io/sicp-in-python/content/
http://www.composingprograms.com/
https://pedrokroger.net/programming/python/sicp/2011/08/31/sicp-python.html
https://news.ycombinator.com/item?id=11465234
Это сработало расширение ChatGPT Search - которое я поставил в этот браузер вместо гугла (и забыл)
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Всего записей: 17980 | Зарегистр. 14-10-2001 | Отправлено: 01:56 08-11-2024 | Исправлено: LevT, 01:58 08-11-2024 |
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