Data Visualization
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Speech Recognition With Python
Google Speech-to-Text, Amazon Transcribe, Microsoft Azure Speech, Watson, Nuance, CMU Sphinx, Kaldi, DeepSpeech, Facebook wav2letter.
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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.
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