Находки недели [8].

Python

1. Getting Started With Testing in Python и Testing 101: Introduction to Testing - отличные буквари по тестирванию.
2. Hidden features of Python.
3. Gensim Tutorial – A Complete Beginners Guide.
4. Working with the Hadoop Distributed File System.
5. Python Secrets Module to Generate secure random numbers for managing secrets.
6. Python UUID Module to Generate Universally Unique Identifiers.
7. The Interesting Python Graphics Libraries for Python Programmers.

ML

1. Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development.
2. Object tracking with dlib.

GCP

1. The Google Cloud Developer Cheat Sheet.
2. Announcing Cloud Tasks, a task queue service for App Engine flex and second generation runtimes.
3. Data deletion on Google Cloud Platform.
4. Digging into Kubernetes 1.12.
5. Unlock insights with ease: Data Studio and Cloud Dataprep are now generally available.
6. Designing and implementing your disaster recovery plan using GCP.
7. Syncing millions of records a day to BigQuery: our experience moving from GAE to GKE.

Other

1. What’s it like to sell your start up to a tech giant?

DigitalOcean Managed Databases

DigitalOcean запускает Managed Databases. Пока только PostgreSQL, но позднее будет еще и MySQL. Решение называется DBaaS - DB as service по аналогии с PaaS.
Набор функций похож на GCP CloudSQL:

• кластеризация
• много баз внутри одного кластера
• дублирование кластера (для быстрой настройки стейджей, например)
• автоматизированная отказоустойчивость
• объелинение соединений в пул
• автоматизированные бэкапы
• one-click обновление до новой версии СУБД
• горизонтальное масштабирование для чтения
• легкое переключение и перенос между ДЦ
• шифрование на диске и при передаче по сети
• модный мониторинг

Предполагается, что DigitalOcean будет дешевле аналогов, но убедится в этом пока нельзя. По скриншоту также можно предположить, что для кластера можно будет выбирать мощность узлов (CPU, RAM, HDD, etc).

У DigitalOcean есть Cloud амбиции. Недавно был анонс запуска поддержки kubernetes, теперь вот DBaaS.

Находки недели [7].

Python

• Python Cheat Sheet for Beginners and Experts.
• Multi-process task queue using Redis Streams.
• Gensim Tutorial – A Complete Beginners Guide.
• The hacker's guide to uncertainty estimates.
• Clarifying PEP 518.
• Python Mock Cookbook.

Data Science & ML.

• Large Collection of Neural Nets, Numpy, Pandas, Matplotlib, Scikit and ML Cheat Sheets.
• Deep learning, hydroponics, and medical marijuana.
• Find where to park in real time using OpenCV and Tensorflow.
• Medical Imaging Analysis using PyTorch.
• Detecting the Language of a Person’s Name using a PyTorch RNN.

Docker

• Don’t Repeat Yourself with Anchors, Aliases and Extensions in Docker Compose Files.
• Avoid Running Out of Disk Space from Container Logs.

Находки недели [6].

Python

1. How to work out the missing dependencies for a Python package.
2. Timsort — the fastest sorting algorithm you’ve never heard of.
3. Pandas Crosstab Explained.
4. Introduction to Redis streams with Python.
5. How To Publish A Package On PyPI.
6. Asterisks in Python: what they are and how to use them.
7. Python Mock Cookbook.

GCP

1. Introduction to Cloud Asset Inventory - storage service that keeps a five week history of Google Cloud Platform (GCP) asset metadata. It allows you to export all asset metadata at a certain timestamp or timeframe.

Other

1. Unsupervised Object Matching for Relational Data.

Находки недели [5].

Я пропустил выпуск прошлой недели из-за своего дня рождения, поэтому далее ссылки за 2 недели.

Python

1. Getting Started With Python inside PostgreSQL.
2. Create your chatbot using Python NLTK.
3. What is Public Key Cryptography?
4. The mystery behind del() and why it works.
5. Understanding Regression Error Metrics.
   
6. Making an Unlimited Number of Requests with Python aiohttp + pypeln.
   
7. Python Open Source of the Month (v.Sep 2018).
8. Multiprocessing using Python 3.7.

ML

1. 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study.
   
2. Quiet log noise with Python and machine learning.
   
3. Illustrated Guide to LSTM’s and GRU’s: A step by step explanation
   

Docker

1. Even the smallest side project deserves its CI/CD pipeline.
   

GCP

1. 7 best practices for operating containers.
   
2. Cloud Source Repositories + GitLab.
   
3. Announcing updates to Cloud Speech-to-Text and the general availability of Cloud Text-to-Speech.
4. Introducing headless Chrome support in Cloud Functions and App Engine.
   
5. Introducing new Cloud Source Repositories.

Other

1. Cloud Native Computing Foundation Receives $9 Million Cloud Credit Grant from Google Cloud to Fund Kubernetes Development, Empower Community.
2. 50+ Data Structure and Algorithms Interview Questions for Programmers.
3. Unleashing the Power of Redis.
   
4. Google just gave control over data center cooling to an AI.
5. How being open about your financials can help grow your reader-funded publication.
6. Think your startup idea will work? Run a premortem for the best chance at success.