Data Pipeline

MLOps: Machine Learning Life Cycle

MLOps Lifecycle strings model and software development together in an unified machine learning life cycle for CI/CD/CT of ML products.

SQL vs. NoSQL Database: When to Use, How to Choose

Difference between SQL and NoSQL database. When to choose NoSQL over SQL. Decision tree to pick from RDBMS, key-value, wide column, document, graph dbs.

Pandas Apply: 12 Ways to Apply a Function to Each Row in a DataFrame

How to efficiently iterate over rows in a Pandas DataFrame and apply a function to each row. 5 simple yet faster alternatives to Pandas apply and iterrow methods.

Python Microservices: API, Object, and Storage Data Models

Design API data model for communicating with the service, object model for the application logic, and physical storage model for persisting the data.

Python Microservices: Effective Canonical Logging Across Services

Learn how to design, implement, test, and configure canonical logging across microservices using Python and Tornado web framework.

Python Microservices: Build and Test REST Endpoints With Tornado

Learn to implement Tornado HTTP endpoints as a layer on business logic. Tune it to assist debugging, and write unit and integration tests.

Python Microservices: Choices, Key Concepts, and Project setup

Tornado, with AsyncIO APIs, is an efficient framework for building IO-bound Python microservices. Learn key concepts. Set up lint, test, code coverage.

Scalable Efficient Big Data Pipeline Architecture

Scalable and efficient data pipelines are as important for the success of data science and machine learning as reliable supply lines are for winning a war.

Speech Recognition With Python

Google Speech-to-Text, Amazon Transcribe, Microsoft Azure Speech, Watson, Nuance, CMU Sphinx, Kaldi, DeepSpeech, Facebook wav2letter.

How to Build Python Transcriber Using Mozilla Deepspeech

Learn to build audio transcriber for voice applications using PyAudio and Mozilla DeepSpeech speech-to-text Automated Speech Recognition (ASR) Python API.