Introduction to Python

2024/2025

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент прикладной экономики

Статус:

Курс обязательный

Когда читается:

1-й курс, 1 модуль

Преподаватель

Поляков Константин Львович

Course Syllabus

Abstract

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis.

Learning Objectives

• This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python.

Expected Learning Outcomes

• Installing and using Python
• Strings Processing in Python
• Variables and expressions
• Use Loop and Conditional Statements
• Definition of functions in Python
• Files Processing in Python
• The Concept of "dictionary" in Python
• The Concept of "list" in Python
• The Concept of "tuple" in Python
• Regular expressions in Python
• Classes and Objects in Python

Course Contents

• Intro-01. Python basics. Variables, expressions and statements.
• Intro-02. Python control structures.
• Intro-03. Functions.
• Intro-04. Files
• Intro-05. Data structures.
• Intro-06. Regular Expressions
• Intro-07. Object-Oriented Programming

Assessment Elements

• Final test - 2
• Final test - 1

Interim Assessment

• 2024/2025 1st module
  0.5 * Final test - 1 + 0.5 * Final test - 2

Bibliography

Recommended Core Bibliography

• Severance, C. (2016). Python for Everybody : Exploring Data Using Python 3. Place of publication not identified: Severance, Charles. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsotl&AN=edsotl.OTLid0000336

Recommended Additional Bibliography

• Python for data analysis : data wrangling with pandas, numPy, and IPhython, Mckinney, W., 2017

Authors

• Poliakov KONSTANTIN LVOVICH