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Collaborative Data Science
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Related lectures (54)
Version Control with Git
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Introduces version control with Git, focusing on repository setup, committing changes, and collaboration.
Matlab Programming: Script and Function
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Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Advanced Pandas Functions
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Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
Monitoring with Icinga2
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Explores the monitoring of a new VM and the use of Icinga2 for critical alerts and incident management.
SSL Certificate Deployment for ENAC Web Hosting
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Focuses on SSL certificate deployment for ENAC Web Hosting, covering certificate generation, debugging, and Ansible playbook management.
Air Pollution Data Analysis
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Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Introduction to Renku
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Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.
GitHub: Git and GitHub Demo on Windows
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Covers the basics of Git and GitHub, including creating a GitHub repository and managing remote repositories.
Distributed Version Control with Git
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Explores Git's distributed version control features, focusing on conflict resolution and collaboration management.
Git Version Control System
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Introduces Git, a version control system essential for software development.
LabVIEW Programming Essentials
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Explores LabVIEW essentials, troubleshooting common issues, managing cache, and data visualization techniques.
Infiltration using the Horton method
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Covers the principles and applications of infiltration using the Horton method.
Programming for Engineers
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Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.
Introduction to Matplotlib
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Covers the basics of Matplotlib for 2D graphic representation in Python, including plotting data and visualizing functions.
Data Analysis Techniques: Amplitude Shift Keying and Graphical Methods
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Covers amplitude shift keying and various data analysis techniques using Jupyter Notebooks.
Untitled
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NumPy Arrays and Graphical Representations: Introduction
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Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.
Structures and Mechanisms: Opening a Box
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Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.
CS422 Project: Iterator Model (Volcano)
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Covers the CS422 project on the iterator model and relational operators.
Numerical Methods: Bisection and Multidimensional Arrays
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Discusses the bisection method for solving nonlinear equations and its implementation using Python with NumPy and Matplotlib.
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