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Moscow

Evgeny Pogrebnyak

Expert
@epogrebnyak

justpath. Inspect and refine PATH environment variable on Windows, Linux and MacOS.

354

abacus. A small yet valid double-entry accounting system in Python and command line.

72

haskell-intro. Seven classes on Haskell and a follow-up reading list

55

weo-reader. Python client to read IMF World Economic Outlook (WEO) dataset as pandas dataframe.

41

ssg-dataset. Open reproducible dataset on static site generators (SSG) popularity.

36

data-ust. US Treasuries Yield Curve Data

31

abacus-minimal. A minimal event-based ledger in Python that follows accounting rules

26

ru-cities. Russian cities names, regions, population estimate and geographic coordinates.

18

econometrics-navigator. Review econometrics concepts with code examples

16

finec. Financial data and computation for Finec MGIMO students.

13

mlmw. Machine Learning My Way (MLMW): a self-study guide for probability, statistics, econometrics and machine learning.

12

functional-programming-jargon. Jargon from the functional programming world in simple terms!

10

justsubs. Download subtitles from YouTube as plain text.

9

impression. Minimal setup to work with Poetry, Sphinx and Streamlit out of the box

8

accounting. Build your own accounting system in Excel, Python or Haskell

6

data-rosstat-kep. Time series dataset of Rosstat Short-term Economic Indicators ("KEP") publication

6

cmf-macro. Macroeconomic course for CMF

5

linprog. Several PuLP examples for production scheduling

5

facebook-json-to-csv. Convert your personal Facebook JSON archive to CSV or pandas dataframe for data analysis

5

cbr-soap-py. SOAP interface to Bank of Russia online data

5

mle-for-nowcasting. Example of maximum likelihood estimation in Python (follows Matlab code)

4

superhero. Управление данными, программирование, разработка и ИТ-архитекутра - руководителям и бизнесу

4

hrange. Plot horizontal timelines

4

learn-orgmode. My notes about starting Emacs org-mode in WSL (August 2021)

3

r-python-julia-book. Why choose - learn them all: R, Python and Julia for economic and financial datasets.

3

data-fx-oil. Russian rouble vs oil price graphs and data

3

LessOLS.jl. Building a simplistic econometrics package in Julia

3

rides-minimal. Car tracks analysis

3

query-media-wiki-api-category. Query MediaWiki/WikiData by category and its dependents

3

ru-bubble-map. City population bubble map for Russia

3

education-material. An organizational meta-repo with pointers to all of the myriad educational materials available today (in any form)

2

economist-tools. Dataset access, learning resources and research reproducibility

2

soybean-crush-spread. Measure value added from processing of soybeans to meal and oil, based on FAO data

2

comtrade. Get data from UN Comtrade API as pandas dataframes

2

algorithmic_trading_book. 2 books and related source codes for algorithmic trading.

2

aloh. Отбор заказов и планирование производства связанных продуктов.

2

learn. Personal collection of learning resources and some inspiration in programming.

2

data-rosstat-806-regional. Russian regional economic monitoring datasets

2

multiple-regression-revisited. Standard use and assumption violations for linear regression

2

FinancePy. A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

2

learn-plot. Review of plotting with python

2

reading-list. Machine learning, econometrics, finance

1

icode. This is a blog about my coding experience in Python and learning of Julia and Haskell

1

lamr. Python course at command line.

1

ruhaskell. Главный сайт сообщества

1

geo-heatmap. :world_map: Generate an interactive geo heatmap from your Google location data

1