Roman Sarychev's repositories
awesome-sre
A curated list of Site Reliability and Production Engineering resources.
SQLServerTools
Инструменты обслуживания и разработки для Microsoft SQL Server, а также другие интересности
sqlworkshops-azuresqlworkshop
Azure SQL Workshop
Data-Engineering-with-Python
Data Engineering with Python, published by Packt
Python-Data-Cleaning-Cookbook
Python Data Cleaning Cookbook, published by Packt
Data-Engineering-with-Google-Cloud-Platform
Data Engineering with Google Cloud Platform, published by Packt
leetcode-sql
Leetcode SQL Solutions
100_Numpy_exercises_Rus_ver
100 упражнений по numpy версия на русском
sre-interview-prep-guide
Site Reliability Engineer Interview Preparation Guide
pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
Cookbook
The Data Engineering Cookbook
python-cheatsheet
Comprehensive Python Cheatsheet
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
de-roadmap
Data Engineer RoadMap
python-patterns
A collection of design patterns/idioms in Python
data-engineering-zoomcamp
Free Data Engineering course!
google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
data-engineering
Getting Started with Data Enngineering
mlcourse_open
Репозиторий открытого курса OpenDataScience по машинному обучению
mipt-ctf
A small course on CTF (wargames) for beginners [in Russian]
ml-course-msu
Lecture notes and code for Machine Learning practical course on CMC MSU
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-flask
A curated list of awesome Flask resources and plugins
scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Scientific_graphics_in_python
Электронный учебник-пособие по научной графике в python
ipython-notebooks
A collection of IPython notebooks covering various topics.