[ИАД, весна 2026] Практикум по программированию на языке Python. Лекция 1

Value of the Information & Strength of the Argument

The lecture provides valuable, practical insights into Python programming, particularly for data science applications. The instructor’s explanations are clear and well-argued, using concrete examples to illustrate concepts such as object references, argument passing, and the behavior of range and iterators. He effectively addresses common pitfalls, like the surprising results of floor division with negative numbers and banker’s rounding, which are often overlooked in introductory materials. The argumentation is solid, grounded in the instructor’s expertise and practical experience, making the content highly relevant for students.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, as the instructor is a researcher from the Vorontsov laboratory, ensuring accurate and up-to-date information. The quality of sources is adequate, though the lecture relies primarily on the instructor’s knowledge rather than citing external references. The title accurately reflects the content, being a practical Python programming session. The lecture is well-structured, with a logical progression from basic concepts to more advanced topics, and the instructor’s explanations are precise and technically sound.

The title accurately reflects the content: a practical Python programming session for a course on intelligent data analysis.

8/10

The lecture is delivered by a researcher from the Vorontsov laboratory, providing authoritative content on Python programming. The material is accurate and well-structured, with practical demonstrations and clear explanations. Minor limitations include a lack of formal citations and a conversational style.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction and course overview: structure, assignments, and grading.
• 05:00Discussion on why Python is popular in data science, including its interpreted nature and ease of use.
• 10:00Introduction to pyenv for managing multiple Python versions, with installation and usage examples.
• 20:00Review of basic Python concepts: objects, variables, references, and arithmetic operations like floor division and rounding.
• 30:00Explanation of range, iterators, and the difference between them, including the enumerate and zip functions.
• 40:00Defining functions: parameters, arguments, and the use of *args and **kwargs for variable-length arguments.
• 50:00Unpacking arguments with * and ** in function calls, and the introduction of positional-only parameters in Python 3.8.

• pyenv GitHub repository — The instructor recommends pyenv for managing multiple Python versions and demonstrates its usage.
• Python official website — Mentioned as the source for downloading Python.

• Python documentation on functions — The lecture's explanations align with the official Python documentation on function definitions and argument passing.
• PEP 570 – Python Positional-Only Parameters — The lecture's discussion of positional-only parameters matches the specification in PEP 570.