NLP with Python: NLTK, spaCy, and Modern Transformers
Natural Language Processing (NLP) enables computers to understand, interpret, and generate human language. Python has the richest NLP ecosystem of any langua...
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M103: MongoDB Cluster Administration: Replication
to primary bash mongo --port 27001 --authenticationDatabase admin -u m103-admin -p m103-pass
M103: MongoDB Cluster Administration: Sharding
One goal of sharding is to create a target cluster with multiple instances (or machines), where the entire cluster appears as a single server to the applicat...
M103: MongoDB Cluster Administration: The Mongod
M103: MongoDB Cluster Administration: The Mongod
M121: Chapter 1: Basic Aggregation
$match uses standard MongoDB query operators!
M121: Chapter 5: Miscellaneous Aggregation
$redact restricts the contents of documents based on information stored in the documents themselves. It is useful for implementing field-level security and c...
M201: Chapter 2: MongoDB Indexes
What problem do indexes try to solve? Slow queries
M201: Chapter 4: CRUD Optimization (Chapter 4 of 5)
// create an explainable object var exp = db.restaurants.explain('executionStats')
M201: Chapter 5 Performance on Clusters
!(/images/mongodb/vertical-vs-horizontal-scaling.png)
M320: Chapter 1: Introduction
Data modeling in MongoDB is the process of designing how data is structured, stored, and accessed. A well-designed data model leads to: