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49 to 72 of 88 results
Search results 49 - 72 of 88Category: Python
- COURSEBen LambertExploring For Loops in PythonBeginnerDuration: 6 minutes and 26 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 6 minutes and 26 seconds; Content Topics: Development; This course has: 1 Lecture
- COURSEBen LambertExploring Lists in PythonBeginnerDuration: 7 minutes and 5 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 7 minutes and 5 seconds; Content Topics: Development; This course has: 1 Lecture
- COURSEBen LambertExploring While Loops in PythonBeginnerDuration: 7 minutes and 42 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 7 minutes and 42 seconds; Content Topics: Development; This course has: 1 Lecture
- COURSEBen LambertIntroduction to Nothing in PythonBeginnerDuration: 4 minutes and 43 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 4 minutes and 43 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
- LAB CHALLENGELogan RakaiPython Challenge: AnagramBeginnerDuration: Up to 25 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Write code to select all the anagrams of a given word from a list of candidates in this lab challenge.; Duration: Up to 25 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
- LAB CHALLENGEAndrea GiussaniMachine Learning Python Challenge: ClassificationAdvancedDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Advanced; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the probability that a subject will suffer from a heart stroke.; Duration: Up to 1 hour; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps
- HANDS-ON LABCalculated SystemsPerforming 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: 3 Lab steps
- HANDS-ON LABQAPython 3 ProgrammingBeginnerDuration: Up to 8 hoursAuthor: QA; Difficulty: Beginner; Description: This lab introduces the Python 3 programming language to programmers starting out in Python 3 or for those porting existing applications from Python 2.; Duration: Up to 8 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzDefining Cloud Infrastructure with the AWS CDK v2 in PythonIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to define your cloud application resources using the AWS Cloud Development Kit v2 in Python in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps
- HANDS-ON LABBen LambertPython: Blackjack LabBeginnerDuration: Up to 3 hoursAuthor: Ben Lambert; Difficulty: Beginner; Description: Build upon your Python skills by creating a console based blackjack game. This lab demonstrates how the Python language is used to create and control objects. It leverages a wide range of Python's functionality such as classes, functions, loops, conditionals, built-in objects, doctests, and more.; Duration: Up to 3 hours; Content Topics: Development; This hands-on lab has: 6 Lab steps
- HANDS-ON LABBen LambertPython: PalindromeBeginnerDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Beginner; Description: Challenge your knowledge of Python by implementing functions used to check words and phrases for palindromes.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 4 Lab steps
- COURSEBen LambertIntroduction to Third-Party Package Management in PythonBeginnerDuration: 51 minutes and 16 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 51 minutes and 16 seconds; Content Topics: Development; This course has: 8 Lectures
- COURSEAndrea GiussaniInteractive Data Visualization with Python using BokehIntermediateDuration: 1 hour and 33 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 33 minutes; Content Topics: Development; This course has: 7 Lectures
- HANDS-ON LABAndrea GiussaniIntroduction to Financial Data Manipulation with PythonBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Analytics, Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABBen LambertPython: Simple Guessing GameBeginnerDuration: Up to 45 minutesAuthor: Ben Lambert; Difficulty: Beginner; Description: Build your Python skills by creating a basic console based guessing game. Combine Python's language fundamentals to build a game that prompts player's to guess a number between 1 and 20.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABBen LambertPython: Introduction to MockingIntermediateDuration: 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 module through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 12 Lab steps
- LAB CHALLENGEAndrea GiussaniData Science with Python - Advanced ConceptsAdvancedDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Advanced; Description: In this Lab, you will be challenged on your knowledge on Python for Data Science, in particular on three important aspects: Programming, Data Management and Visualization. The idea is to test your ability to deal with advanced data science requests that a Senior Data Scientist is expected to deal with.; Duration: Up to 1 hour; Content Topics: Development; This lab challenge has: 2 Lab steps
- COURSEBen LambertIntroduction to Classes in PythonBeginnerDuration: 11 minutes and 19 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 11 minutes and 19 seconds; Content Topics: Development; This course has: 1 Lecture
- LAB CHALLENGEAndrea GiussaniMachine Learning Python Challenge: RegressionAdvancedDuration: Up to 1 hour and 30 minutesAuthor: Andrea Giussani; Difficulty: Advanced; Description: In this lab challenge, you will be tested on your scikit-learn skills to build a machine learning pipeline to predict the price of a stock; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps
- LAB CHALLENGELogan RakaiPython Challenge: SublistBeginnerDuration: Up to 25 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: In this lab challenge, you will write code to determine the containment relationship between two lists.; Duration: Up to 25 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
- LAB CHALLENGELogan RakaiBuilding a Python Application: Shutdown Watcher ChallengeIntermediateDuration: Up to 40 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Test your knowledge of building Python applications using a shutdown watcher in this lab challenge.; Duration: Up to 40 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
- COURSEBen LambertIntro to Exceptions in PythonIntermediateDuration: 9 minutes and 23 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 9 minutes and 23 seconds; Content Topics: Development; This course has: 1 Lecture