Jupyter notebook Study guides, Class notes & Summaries

Physics for Computer Science Assignment 1 answers on questions regarding static fields. Physics for computer science completed assignments, IE University, bachelor of computer science and AI. The four assignments include completed exercises with calculations, formulas and visuals. Assignment 1: Static fields, Magnetic fields, Electrical fields Assignment 2: Current, EMF, Magnetic Waves Assignment 3: Circuits, Diagrams, Jupyter Notebook Calculations Assignment 4: NTC thermistor, conducti...

Physics for computer science completed assignments, IE University, bachelor of computer science and AI. The four assignments include completed exercises with calculations, formulas and visuals. Assignment 1: Static fields, Magnetic fields, Electrical fields Assignment 2: Current, EMF, Magnetic Waves Assignment 3: Circuits, Diagrams, Jupyter Notebook Calculations Assignment 4: NTC thermistor, conductivity as a function of temperature in python, semi conductors, threshold voltage

The answers to the exercises in the Jupyter Notebook for unit 3 (FOR/WHILE/LOOPING).

Notes of Pandas data operations covered in the Principles of Programming course, part of the Computer Science and AI bachelor degree. The notes are initially written in Jupyter Notebook. They contain practical examples of data operations in python and images to explain the structures and processes. This first notebook contains: - Introduction to Pandas and dataframes - The structure of a dataframe - Selecting values - Select cells - Select rows - Select columns - Slicing - Ins...

Notes of Pandas data operations covered in the Principles of Programming course, part of the Computer Science and AI bachelor degree. The notes are initially written in Jupyter Notebook. They contain practical examples of data operations in python and images to explain the structures and processes. This second notebook contains: - Arithmetic operations - add - subtract - multiply - divide - Store solution in new column - Comparison - equal to - not equal to - greater t...

Business Understanding (order) - Answer 1st in Data Analytics Lifecycle Data Acquisition (order) - Answer 2nd in Data Analytics Lifecycle Data Cleaning (order) - Answer 3rd in Data Analytics Lifecycle Data Exploration (order) - Answer 4th in Data Analytics Lifecycle Predictive Modeling (order) - Answer 5th in Data Analytics Lifecycle Data Mining/Machine Learning (order) - Answer 6th in Data Analytics Lifecycle Reporting and Visualization (order) - Answer 7th in Data Analytics L...

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Notes of Pandas data operations covered in the Principles of Programming course, part of the Computer Science and AI bachelor degree. The notes are initially written in Jupyter Notebook. They contain practical examples of data operations in python and images to explain the structures and processes. This third section contains: - Conditional Selection - pd.Series and Operators - Basic Filters - Missing Values - Identify Nulls - Filter Nulls - Fill in Nulls - Remove Nulls - Uni...

Summarised notes of pandas data operations covered in the Principles of Programming course, part of the Computer Science and AI bachelor degree. The notes are initially written in Jupyter Notebook. They contain practical examples of data operations in python and images to explain the structures and processes. This fourth notebook contains: - Concatenation - Merge and Join - Merge on columns - Merge on index - Convert Data types - Duplicates - Find duplicates - Remove duplicate...

Summarised notes of Pandas data operations covered in the Principles of Programming course, part of the Computer Science and AI bachelor degree. The notes are initially written in Jupyter Notebook. They contain practical examples of data operations in python and images to explain the structures and processes. This fifth section contains: - Groupby - Iterate through groups - Basic groupings - Advanced groupings - Group with more levels - Pivot table - Stack and Unstack