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1 to 24 of 76 results
Search results 1 - 24 of 76Category: Python
- LEARNING PATHAndrew Larkin
UPDATEDPython for BeginnersBeginnerDuration: Up to 6 hours and 31 minutesAuthor: Andrew Larkin; Type: updated learning path; Difficulty: Beginner; Description: Designed for people new to programming, this Course provides a excellent start point for getting started with the Python scripting language.; Duration: Up to 6 hours and 31 minutes; Content Topics: Development; This learning path has: 2 Courses, 1 Lab challenge, 2 Exams, 3 Hands-on labs - LEARNING PATHJeremy Cook
Pythonic ProgrammingIntermediateDuration: Up to 6 hours and 27 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: This course provides a deep dive into advanced areas of the Python programming language.; Duration: Up to 6 hours and 27 minutes; Content Topics: Development Tools, Web; This learning path has: 6 Courses, 5 Exams, 2 Hands-on labs - COURSEJeremy Cook
Pythonic ProgrammingBeginnerDuration: 57 minutes and 7 secondsAuthor: Jeremy Cook; Difficulty: Beginner; Duration: 57 minutes and 7 seconds; Content Topics: Development; This course has: 3 Units - LEARNING PATHAndrea Giussani
Machine 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: Amazon Web Services; This course has: 14 Units - LEARNING PATHBen Lambert
Serverless 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 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 - HANDS-ON LABCalculated Systems
Performing K-Means Clustering With PythonIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you'll learn how to perform K-Means Clustering on a set of data and plot the outcome.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - COURSEJeremy Cook
Python Functions, Modules, and PackagesBeginnerDuration: 36 minutes and 51 secondsAuthor: Jeremy Cook; Difficulty: Beginner; Duration: 36 minutes and 51 seconds; Content Topics: Development; This course has: 3 Units - 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 - COURSEJeremy Cook
Python MetaprogrammingBeginnerDuration: 24 minutes and 51 secondsAuthor: Jeremy Cook; Difficulty: Beginner; Duration: 24 minutes and 51 seconds; Content Topics: Development; This course has: 3 Units - COURSEJeremy Cook
Python ClassesBeginnerDuration: 29 minutes and 34 secondsAuthor: Jeremy Cook; Difficulty: Beginner; Duration: 29 minutes and 34 seconds; Content Topics: Development; This course has: 3 Units - COURSEThomas Holmes
Practical Data Science With PythonIntermediateDuration: 57 minutes and 23 secondsAuthor: Thomas Holmes; Difficulty: Intermediate; Duration: 57 minutes and 23 seconds; Content Topics: Development; This course has: 8 Units - 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 Units - COURSEMichael BurgessModule 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 Units
- COURSEThomas Holmes
Working with PythonAdvancedDuration: 49 minutes and 22 secondsAuthor: Thomas Holmes; Difficulty: Advanced; Duration: 49 minutes and 22 seconds; Content Topics: Development; This course has: 5 Units - 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 - LEARNING PATHText Analysis and LLMs with PythonIntermediateDuration: Up to 17 hours and 54 minutesDifficulty: Intermediate; Description: In this course, we’ll focus on developing a clear understanding of how LLMs operate so you can become more confident working with them.; Duration: Up to 17 hours and 54 minutes; Content Topics: Development; This learning path has: 11 Courses, 9 Exams, 8 Hands-on labs
- COURSEBen Lambert
Exploring Tuples in PythonBeginnerDuration: 6 minutes and 1 secondAuthor: Ben Lambert; Difficulty: Beginner; Duration: 6 minutes and 1 second; Content Topics: Development; This course has: 1 Unit - COURSEBen Lambert
Exploring Strings in PythonBeginnerDuration: 7 minutes and 44 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 7 minutes and 44 seconds; Content Topics: Development; This course has: 1 Unit - COURSEBen Lambert
Exploring 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 Unit - COURSEBen Lambert
Exploring Sets in PythonBeginnerDuration: 6 minutes and 38 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 6 minutes and 38 seconds; Content Topics: Development; This course has: 1 Unit