PiterPy 2019
| title | author | length |
|---|---|---|
| Building a Microservice Application Using Kafka and Django | Nikolay Saskovets | 48m |
A practical walkthrough of using Apache Kafka as the data bus for a Django-based microservices system to handle high-throughput, fault-tolerant event streams… | ||
| GraphQL + Python today: Implementing a Public API with GraphQL | Sergey Khaletskiy | 58m |
Uses GraphQL with Python to address issues of multiplying REST endpoints as front-ends and mobile apps need new data. Covers applicability of GraphQL in Python… | ||
| Developers Have the Logs Their Imagination Allows | Denis Kataev | 31m |
Covers using Python’s standard logging module instead of print for debugging, including benefits and configuration. Shows how to integrate logging into… | ||
| Porting a Project from Python 2 to 3 | Dmitriy Karpov | 41m |
Covers migrating Python 2 codebases to Python 3 for both small and large projects, describing problems that arise with different architectures and showing… | ||
| Automatic Revenue Forecasting with Boosting Models and DL | Aleksandr Tolmachev | 56m |
Covers forecasting complex time-series turnover using gradient boosting models and deep learning. Addresses the mathematics of modeling complex dependencies… | ||
| Why Should Robots Read Your Code? | Konstantin Tyapochkin, Aleksey Smirnov | 46m |
Survey of recent research and tools for analyzing source code and related artifacts, focused on Python developers. Covers technologies and tasks such as code… | ||
| RedisGears | Meir Shpilraien | 40m |
RedisGears is a Redis module that runs Python map/reduce pipelines inside Redis using embedded CPython sub-interpreters and a custom allocator to limit… | ||
| Python and Networking: REST, JSON, GraphQL or gRPC? | Grigoriy Petrov | 50m |
Overview of network communication choices for Python backends and frontends, comparing REST (and its ecosystem like JSON Schema and OpenAPI), JSON API, GraphQL… | ||
| From Pandas to Spark | Andrey Gavrilov | 31m |
How to adapt ML models from single-machine Python tools to distributed frameworks: replacing Gensim Word2Vec with PySpark MLlib equivalents, comparing… | ||
| ML Pipeline: Structuring Data Analysis Projects | Kirill Vasin | 56m |
Practical guidance for structuring machine-learning/data‑analysis projects by adopting software-engineering best practices: single repository layout, code… | ||
| Django ORM: The MTI vs STI Showdown | Oleg Churkin | 42m |
Compares multi-table inheritance (MTI) and single-table inheritance (STI) patterns implemented with Django ORM on PostgreSQL, explaining when to choose each… | ||
| Cryptography For Newcomers - The hitchhiker's guide to cipher in devs | Matthias Dugué | 01h 04m |
Covers concrete failures (Caesar/Vigenère frequency attacks, Enigma broken by key reuse and crib knowledge) and practical fixes: use salt + rounds stored with… | ||
| Python on Windows, the State of the Art | Nicola Iarocci | 58m |
History of rough Windows Python workflows is replaced by concrete tools and tricks: install Python from the Microsoft Store for one‑click updates, run full… | ||
| AAA Game UI Framework Powered by Python | Ivan Nikolaev | 39m |
A lightweight UI framework sits between an eight‑year‑old Flash/ActionScript frontend and modern JS/C++ clients, using a Python-backed model layer whose simple… | ||
| Mnj — A Pleasant Library for Working with MongoDB | Sergey Matveenko | 19m |
Introduces Mnj, a Python library designed to make working with MongoDB more pleasant by avoiding SQL-style abstractions and clarifying code. Describes the… | ||
| Serverless Python in the real world: common patterns & challenges | Mikhail Novikov | 50m |
Built a serverless URL shortener that records clicks and redirects, deployed on AWS Lambda + API Gateway using frameworks like Serverless and Zappa (Flask… | ||
| nothing matches | ||