Python for Data Science DSBA 2025/2026: различия между версиями
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|| [https://official.contest.yandex.ru/contest/93400/enter/ Contest 3] || 29 Apr 23:59:59 || Functions, recursion, tuple | || [https://official.contest.yandex.ru/contest/93400/enter/ Contest 3] || 29 Apr 23:59:59 || Functions, recursion, tuple | ||
|- | |- | ||
|| Contest 4 || | || [https://official.contest.yandex.ru/contest/93828/enter Contest 4] || 17 May 23:59:59 || Numpy & Pandas | ||
|- | |- | ||
|| Contest 5 || | || [https://official.contest.yandex.ru/contest/93859/enter/ Contest 5] || 31 May 23:59:59 || Functional programming | ||
|- | |- | ||
|| Contest 6 || TBD || TBD | || Contest 6 || TBD || TBD | ||
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| 23.04 || [https://drive.google.com/file/d/1-kAHVvSQ2P1_OhA-tp0vQ9ocOqtNzrRr/view?usp=sharing Lecture 4] || NumPy | | 23.04 || [https://drive.google.com/file/d/1-kAHVvSQ2P1_OhA-tp0vQ9ocOqtNzrRr/view?usp=sharing Lecture 4] || NumPy | ||
|- | |- | ||
| | | 30.04 || [https://drive.google.com/drive/folders/1M2a2sHw2_APJ1CeiNpfjyDTjwu-7Eut7?usp=sharing Lecture 5] || Pandas, exploratory data analysis | ||
|- | |- | ||
| | | 21.05 || [https://drive.google.com/drive/folders/15l-Fg22vdPWA88uRL7n0wvonPDce85jl?usp=sharing Lecture 6] || Data visualisation | ||
|- | |- | ||
| | | 28.05 || [https://drive.google.com/drive/folders/1gnaDfhE6IGXJFbN7le7IBZt9Qa4mmevT?usp=sharing Lecture 7] || Introduction to statistical analysis | ||
|- | |- | ||
| | | 04.06 || [https://drive.google.com/drive/folders/1JLgWer--j6ohv4ILVXmngiFau-fXjKej Lecture 8] || Databases, SQL | ||
|- | |- | ||
| | | 11.06 || [https://drive.google.com/drive/folders/1R_tXxDT991ji2vbX1_rCFavCZ96lIaiY Lecture 9] || Data cleaning and regular expression | ||
|} | |} | ||
</code> | </code> | ||
=== Workshops === | === Workshops === | ||
<!-- [https://drive.google.com/drive/folders/16YGPmog5GCV0xFQOrSLnX6BdlihHLNRf?usp=sharing 1-7 workshops in pdf file extension] --> | |||
<code> | <code> | ||
{| class="wikitable" | {| class="wikitable" | ||
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| [https://drive.google.com/drive/folders/1VsDdWJ0GsALcmnWAZ62a1Cd7GhcVBCQA?usp=sharing Workshop 2 & 3] || Set, tuple, dictionary | | [https://drive.google.com/drive/folders/1VsDdWJ0GsALcmnWAZ62a1Cd7GhcVBCQA?usp=sharing Workshop 2 & 3] || Set, tuple, dictionary | ||
|- | |- | ||
| [ | | [https://drive.google.com/drive/folders/1kFBYktpML2Qm-tI3RtwmodjK3pp1SN6W?usp=sharing Workshop 4] || Functions, Recursion & Functional Programming | ||
|- | |||
| [https://drive.google.com/drive/folders/1AW4QrDMPMdwCp5G0vZgViIAFRs5Xrcta?usp=sharing Workshop 5] || OOP | |||
|- | |- | ||
| [ | | [https://drive.google.com/drive/folders/1uvBBGMPBKuM_n3PkEKdfL8p--gZxnMYX?usp=sharing Workshop 6] || NumPy | ||
|- | |- | ||
| [ | | [https://drive.google.com/drive/folders/11es25rxFunvMmJfyP-a3OIAboYgPsm2j?usp=sharing Workshop 7] || Linear algebra with NumPy | ||
|- | |- | ||
| [ | | [https://drive.google.com/drive/folders/1OZlWquqUVJgKXWhSh1OEvmymlHeAGX3g?usp=sharing Workshop 8 & 9] || Pandas, EDA | ||
|- | |- | ||
| [ | | [https://drive.google.com/drive/folders/1aqUfmyHidv-VESbM09TqC6vG30VfUrBF?usp=sharing Workshop 10] || Data visualisation | ||
|- | |- | ||
| [ | | [https://drive.google.com/drive/folders/1JYTvn0tcFHLUtWNwEUMzfwy34XMnakdg?usp=sharing Workshop 11] || SciPy | ||
|- | |- | ||
| [ | | [https://drive.google.com/drive/folders/1fhPcxkbWAlTq7vgAAwTI8J2HFyuNvdI0?usp=sharing Workshop 12] || SQLite, SQLAlchemy | ||
|} | |} | ||
</code> | </code> | ||
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All the information regarding your course project can be found by accessing [[Python Programming DSBA 2025/26 / Project|this page]]. | All the information regarding your course project can be found by accessing [[Python Programming DSBA 2025/26 / Project|this page]]. | ||
Your exam (project defence) will be conducted on ''' | The project submission deadline is '''June 14th 23:59'''. | ||
Your exam (project defence) will be conducted on '''June 25th and 27th''' in the '''offline''' format. | |||
== Syllabus == | == Syllabus == | ||
[https://www.hse.ru/ba/data/courses/1071113650.html Syllabus] | [https://www.hse.ru/ba/data/courses/1071113650.html Syllabus] | ||
Текущая версия от 00:14, 20 июня 2026
In case you find any inconsistencies on this page, please, contact @StefanieTheSentinels.
Teachers and assistants
| Group | 251 | 252 | 253 | 254 | 255 | 256 | 257 | |
|---|---|---|---|---|---|---|---|---|
| Lecturer | Voznesenskaya T.V. | |||||||
| Workshop Instructor | Rudakov K.A. tg: @ArcticBEARD |
Kopylov I.S. tg: @DanielWalker |
253-1: Kopylov I.S. tg: @DanielWalker 253-2: Rudakov K.A. tg: @ArcticBEARD |
254-1: Dovgopolyi I.A. tg: @TriariiMisha 254-2: Yartsev M.S. tg: @Mischay |
Pronina A.S. tg: @l_AnnaPronina_l |
257-1: Yartsev M.S. tg: @Mischay 257-2: Pavleeva M.V. tg: @mariapavleeva | ||
| Teaching Assistant | Argirov George tg: @gotchaya |
Shakhmin Pavel tg: @rotanimoddFPV |
253-1: Shakhmin Pavel tg: @rotanimoddFPV 253-2: Argirov George tg: @gotchaya |
254-1: Argirov George tg: @gotchaya 254-2: Alexia Foks tg: @xsAlexFoxx |
Khudyakov Nikita tg: @jiko_keno |
257-1: Alexia Foks tg: @xsAlexFoxx 257-2: Shakhmin Pavel tg: @rotanimoddFPV | ||
| Lecturer's Assistant | Artemiy Sapunov tg: @StefanieTheSentinels | |||||||
Grading system
Final Grade = round( 0.1 × HW(Contests) + 0.1 × Seminar attendance + 0.15 × Activity + 0.25 × Midterm + 0.4 × Exam(Project defence) )
Contests
Contest
Deadline
Topic
Contest 1
15 Apr 23:59:59
Introduction
Contest 2
22 Apr 23:59:59
List, set, dictionary
Contest 3
29 Apr 23:59:59
Functions, recursion, tuple
Contest 4
17 May 23:59:59
Numpy & Pandas
Contest 5
31 May 23:59:59
Functional programming
Contest 6
TBD
TBD
Contest 7
TBD
TBD
Contest 8
TBD
TBD
Contest 9
TBD
TBD
Contest 10
TBD
TBD
Grades
The results table with all your grades can be found by this link.
Lecture notes and Workshop materials
Lectures
Date
Lecture
Topic
02.04
Lecture 1
Introduction, string, list
09.04
Lecture 2
Set, tuple, dictionary
16.04
Lecture 3
Functions, recursion, OOP
23.04
Lecture 4
NumPy
30.04
Lecture 5
Pandas, exploratory data analysis
21.05
Lecture 6
Data visualisation
28.05
Lecture 7
Introduction to statistical analysis
04.06
Lecture 8
Databases, SQL
11.06
Lecture 9
Data cleaning and regular expression
Workshops
Workshop
Topic
Workshop 1
IDE, arithmetics, string, list
Workshop 2 & 3
Set, tuple, dictionary
Workshop 4
Functions, Recursion & Functional Programming
Workshop 5
OOP
Workshop 6
NumPy
Workshop 7
Linear algebra with NumPy
Workshop 8 & 9
Pandas, EDA
Workshop 10
Data visualisation
Workshop 11
SciPy
Workshop 12
SQLite, SQLAlchemy
Midterm
The midterm will be conducted on 14 May 16:00 - 18:00 in the offline format.
All the details you can find here.
Project / Exam
All the information regarding your course project can be found by accessing this page.
The project submission deadline is June 14th 23:59.
Your exam (project defence) will be conducted on June 25th and 27th in the offline format.