Google Cloud with Python Course

Learn how to interact with Google Cloud services using Python. Master BigQuery operations, Cloud Storage management, dataset and table handling, and file processing techniques to build scalable cloud-based data applications.

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☁️ BigQuery with Python

Introduction to GCP with Python

Introduction to using Google Cloud SDK and Python for GCP.

Query a GCP BigQuery table

Learn how to query data from BigQuery tables using Python.

Copy table in BigQuery

Copy tables between datasets in BigQuery.

Delete table from Dataset

Delete BigQuery tables programmatically.

List tables in the dataset

Retrieve a list of all tables within a BigQuery dataset.

Get table metadata

Access BigQuery table properties and metadata.

Create dataset in BigQuery

Learn how to create new datasets in BigQuery.

Delete dataset in BigQuery

Remove datasets from your BigQuery project.

List all datasets

List all datasets available in a GCP project.

Create table with JSON schema

Create tables using a JSON schema definition.

📦 Cloud Storage with Python

Create a Bucket

Create new Cloud Storage buckets.

List all Buckets

List all buckets in your GCP project.

Upload an object

Upload files to Cloud Storage buckets.

List files in a bucket

Retrieve the list of files stored in a bucket.

Delete a Bucket

Delete Cloud Storage buckets programmatically.

Get bucket metadata

Access Cloud Storage bucket properties.

Set object versioning

Enable or disable object versioning on a bucket.

Set uniform bucket-level access

Configure uniform bucket-level access for security.

Delete a file

Remove specific objects from a Cloud Storage bucket.

Download file

Download objects from Cloud Storage to local storage.

Move file between buckets

Move objects from one bucket to another.