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73 to 88 of 88 results
Search results 73 - 88 of 88Category: Python
- LAB CHALLENGEThomas HolmesUsing Python to Cleanse and Rationalize Data ChallengeBeginnerDuration: Up to 2 hours and 30 minutesAuthor: Thomas Holmes; Difficulty: Beginner; Description: You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.; Duration: Up to 2 hours and 30 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
- HANDS-ON LABCalculated SystemsUsing Python to Drive Insights in BigQueryBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: In this lab you will get started with BigQuery to analyze a large public dataset and use Python to drive insights from it.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps
- HANDS-ON LABBen LambertPython: Introduction to SQLAlchemyAdvancedDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Advanced; Description: SQLAlchemy is a module designed to provide better developer ergonomics for database access and interactions. Learn how to interact with relational databases in Python with SQLAlchemy.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps
- HANDS-ON LABParveen SinghWorking with Azure Virtual Machines using Python SDKIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use Python SDK to interact with the Azure environment and create virtual machine resources using Azure CLI and Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Virtualization; This hands-on lab has: 3 Lab steps
- HANDS-ON LABBen LambertPython: Introduction to DebuggingIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Debugging is a natural part of the development process. This lab introduces three debugging techniques for effectively debugging Python applications.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps
- HANDS-ON LABBen LambertPython: Introduction to PipIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Pip is a package installer for Python. Pip is used to install packages from the Python Package Index, other indexes, local distributions, URLs, and source control systems. This lab introduces some of the core concepts of pip.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 6 Lab steps
- HANDS-ON LABBen LambertPython: Database API Specification v2.0IntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: The Python Database API Specification v2.0 defines a common API for accessing databases with Python. Making database access with Python more consistent across different database engines. This lab introduces the DB-API specification through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps
- HANDS-ON LABBen LambertPython: Magic MethodsIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Learn how to use magic methods to control the way that objects interact with the Python language syntax and built-in functions. This lab covers commonly used magic methods through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 4 Lab steps
- HANDS-ON LABBen LambertPython: Introduction to PatchingIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: The unittest.mock module is Python's built-in mocking and patching module. Used to replace objects with fake implementations during testing. This lab introduces the unittest.mock.patch callable through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 11 Lab steps
- HANDS-ON LABCalculated SystemsVisualizing Geospatial Data with Python and BigQueryIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will teach you how to create maps from geospatial data using the GeoJSON extension for JupyterLabs.; Duration: Up to 1 hour; Content Topics: NoSQL, Big Data; This hands-on lab has: 2 Lab steps
- HANDS-ON LABCalculated SystemsSpatial Measurements and Spatial Transformations with BigQuery GIS and PythonBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: Perform spatial measurements and spatial transformations in BigQuery GIS using Python in this lab.; Duration: Up to 1 hour; Content Topics: NoSQL, Big Data; This hands-on lab has: 2 Lab steps
- HANDS-ON LABParveen SinghInteracting with Azure CosmosDB using Python SDKIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create an Azure CosmosDB account and containers using Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: NoSQL; This hands-on lab has: 3 Lab steps
- HANDS-ON LABParveen SinghInteracting with Azure Web App using Python SDKBeginnerDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Beginner; Description: Learn how to use Python SDK to authenticate and interact with Azure Web Apps in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps
- HANDS-ON LABBen LambertPython: Introduction to WSGI ApplicationsIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: The Web Server Gateway Interface (WSGI) specification defines a simple universal-interface between web servers and web applications. Enabling web developers to mix and match WSGI compliant servers and applications. This lab introduces some of the primary concepts of WSGI applications.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps
- HANDS-ON LABStefano CascavillaWorking and Visualizing Cryptos Data with CoinGecko and PythonBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will use the CoinGecko Python API to retrieve and visualize cryptocurrencies data.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABParveen SinghInteract With PostgreSQL Flexible Server Using a Python-Based Web AppIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to interact with PostgreSQL flexible server using a python based Django app in this hands-on lab.; Duration: Up to 1 hour; Content Topics: SQL; This hands-on lab has: 4 Lab steps