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1 to 24 of 77 results
Search results 1 - 24 of 77Category: Python
- LEARNING PATHAndrea Giussani
Working with Python Visualization ToolsIntermediateDuration: Up to 6 hours and 28 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Description: A deep dive into the visualization tools and libraries available in Python.; Duration: Up to 6 hours and 28 minutes; Content Topics: Analytics, Development; This learning path has: 3 Courses, 1 Exam, 2 Hands-on labs - LEARNING PATHAndrea GiussaniMachine Learning with PythonIntermediateDuration: Up to 9 hours and 38 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Description: This course explores a range of techniques for building machine learning pipelines with Python.; Duration: Up to 9 hours and 38 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 2 Lab challenges, 2 Exams, 3 Hands-on labs
- LEARNING PATHJeremy Cook
Python based Microservices - Go from Zero to HeroIntermediateDuration: Up to 9 hours and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: Building Microservices With Python, Flask, and Docker Containers; Duration: Up to 9 hours and 30 minutes; Content Topics: Containers; This learning path has: 3 Courses, 1 Resource, 1 Exam, 2 Hands-on labs - COURSEBen Lambert
Build AWS Serverless Web Applications With PythonIntermediateDuration: 1 hour and 59 minutesAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 1 hour and 59 minutes; Content Topics: NoSQL, Serverless, Mobile; This course has: 14 Lectures - COURSEBen LambertIntroduction to the Python LanguageBeginnerDuration: 36 minutes and 55 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 36 minutes and 55 seconds; Content Topics: Development; This course has: 6 Lectures
- COURSEBen LambertIntroduction to Python ObjectsBeginnerDuration: 46 minutes and 22 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 46 minutes and 22 seconds; Content Topics: Development; This course has: 7 Lectures
- LEARNING PATHBen LambertServerless Python Web Development For AWSIntermediateDuration: Up to 4 hours and 29 minutesAuthor: Ben Lambert; Difficulty: Intermediate; Description: Teach developers how to create a fully serverless web application using Lambda, API Gateway, Cognito, S3, and DynamoDB.; Duration: Up to 4 hours and 29 minutes; Content Topics: Serverless; This learning path has: 1 Course, 1 Exam, 1 Hands-on lab
- LEARNING PATHAndrew Larkin
Practical Data Science with PythonAdvancedDuration: Up to 13 hours and 32 minutesAuthor: Andrew Larkin; Difficulty: Advanced; Description: This course explores the world of data science and gives you hands-on, practical tutorials on how to use Python at an advanced level.; Duration: Up to 13 hours and 32 minutes; Content Topics: Development; This learning path has: 5 Courses, 1 Lab challenge, 1 Exam, 2 Hands-on labs - HANDS-ON LABCalculated Systems
Acquiring and Storing Data in PythonBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at students, with a moderate understanding of Python, who want to understand how to query an API, manipulate the data and store that data into a database with a more advanced schema.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 3 Lab steps - COURSEThomas Holmes
Practical Data Science With PythonIntermediateDuration: 57 minutes and 22 secondsAuthor: Thomas Holmes; Difficulty: Intermediate; Duration: 57 minutes and 22 seconds; Content Topics: Development; This course has: 8 Lectures - HANDS-ON LABEd Wright
Web Development Fundamentals - HTML and CSSBeginnerDuration: Up to 8 hoursAuthor: Ed Wright; Difficulty: Beginner; Description: Build the skills to create a website that is responsive to the device that it is being viewed on and contains features needed for good website development; Duration: Up to 8 hours; Content Topics: Web; This hands-on lab has: 2 Lab steps - COURSEMichael Burgess
Module 1 – Python for Machine LearningBeginnerDuration: 52 minutes and 2 secondsAuthor: Michael Burgess; Difficulty: Beginner; Duration: 52 minutes and 2 seconds; Content Topics: Machine Learning; This course has: 4 Lectures - COURSEThomas HolmesWorking with PythonAdvancedDuration: 49 minutes and 22 secondsAuthor: Thomas Holmes; Difficulty: Advanced; Duration: 49 minutes and 22 seconds; Content Topics: Development; This course has: 5 Lectures
- COURSESaqib Butt
Mastering Microservices with Python, Flask, and DockerIntermediateDuration: 2 hours and 20 minutesAuthor: Saqib Butt; Difficulty: Intermediate; Duration: 2 hours and 20 minutes; Content Topics: Containers; This course has: 10 Lectures - LEARNING PATHAndrew Burchill
Solving Real World Problems with Regular Expressions in PythonBeginnerDuration: Up to 2 hours and 50 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 50 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 Hands-on labs - COURSEBen LambertExploring Dictionaries in PythonBeginnerDuration: 10 minutes and 13 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 10 minutes and 13 seconds; Content Topics: Development; This course has: 1 Lecture
- COURSEBen LambertIntroduction to Collections in PythonBeginnerDuration: 6 minutes and 57 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 6 minutes and 57 seconds; Content Topics: Development; This course has: 1 Lecture
- COURSEBen LambertIntroduction to Flow Control in PythonBeginnerDuration: 10 minutes and 17 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 10 minutes and 17 seconds; Content Topics: Development; This course has: 1 Lecture
- COURSEBen LambertIntroduction to Python OperatorsBeginnerDuration: 14 minutesAuthor: Ben Lambert; Difficulty: Beginner; Duration: 14 minutes; Content Topics: Development; This course has: 1 Lecture
- LAB CHALLENGELogan Rakai
Python and Boto3 Lab ChallengeBeginnerDuration: Up to 1 hour and 2 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: This challenge provides you with several Python programming tasks to complete from a browser IDE. Complete all the checks before time runs out.; Duration: Up to 1 hour and 2 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps - COURSEBen LambertIntroduction to Built-Ins in PythonBeginnerDuration: 7 minutes and 24 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 7 minutes and 24 seconds; Content Topics: Development; This course has: 1 Lecture
- COURSEAndrea GiussaniData Visualization with Python using MatplotlibIntermediateDuration: 1 hour and 21 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 21 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Lectures
- LEARNING PATHLogan RakaiPython Beginner's Challenge GauntletBeginnerDuration: Up to 1 hour and 40 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Run the gauntlet of Python lab challenges that increase in difficulty but are suitable for Python beginners.; Duration: Up to 1 hour and 40 minutes; Content Topics: Development; This learning path has: 5 Lab challenges
- LAB CHALLENGELogan RakaiPython Challenge: RaindropsBeginnerDuration: Up to 15 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Convert a number into a string that contains raindrop sounds corresponding to certain potential factors in this lab challenge.; Duration: Up to 15 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps