Up and Running with MATLAB (Size: 133.6 MB)
| | | 01. Welcome.mp4 | 3.95 MB |
| | | 02. What you need to know.mp4 | 2.43 MB |
| | | 03. Using the exercise files.mp4 | 1.35 MB |
| | | 05. Understanding data structures.mp4 | 6.4 MB |
| | | 02. Understanding the MATLAB interface.mp4 | 5.52 MB |
| | | 03. Working with MATLAB variables.mp4 | 5.3 MB |
| | | 01. Installing MATLAB.mp4 | 4.03 MB |
| | | 04. Everything is a matrix.mp4 | 3.74 MB |
| | | 05. Understanding data types.mp4 | 5.58 MB |
| | | 01. Basic commands.mp4 | 5.12 MB |
| | | 04. Control flow.mp4 | 5.1 MB |
| | | 03. Working with matrix and scalar operations.mp4 | 4.93 MB |
| | | 02. Using built-in functions and variables.mp4 | 3.04 MB |
| | | 06. Performance considerations.mp4 | 6.61 MB |
| | | 03. Creating scripts.mp4 | 5.14 MB |
| | | 07. Adding program documentation.mp4 | 5.03 MB |
| | | 04. Creating functions.mp4 | 4.93 MB |
| | | 05. Debugging.mp4 | 4.21 MB |
| | | 02. Viewing and editing programs.mp4 | 3.95 MB |
| | | 01. How are program files stored.mp4 | 2.94 MB |
| | | 05. Editing variables manually.mp4 | 9.42 MB |
| | | 02. Adding annotations.mp4 | 7.52 MB |
| | | 01. Creating basic plots.mp4 | 6.46 MB |
| | | 04. Creating responsive programs.mp4 | 5.24 MB |
| | | 03. Working with images.mp4 | 4.8 MB |
| | | 03. Symbolic Math Toolbox.mp4 | 3.94 MB |
| | | 02. Statistics Toolbox.mp4 | 3.25 MB |
| | | 01. What are MATLAB toolboxes.mp4 | 2.24 MB |
| | | 01. Where to Go from here.mp4 | 1.12 MB |
| | | building.jpeg | 207.33 KB |
| | | daily_data.csv | 62.93 KB |
| | | sample_data.csv | 21.32 KB |
| | | responsive_practice.m | 217 bytes |
| | | sample_data.csv | 21.32 KB |
| | | practice_function_key.m | 166 bytes |
| | | practice_script_key.m | 162 bytes |
| | | roundoff_error.m | 186 bytes |
| | | matrix_generator.m | 115 bytes |
| | | conditionals.m | 63 bytes |
| | | optimtool_function.m | 138 bytes |
Description
[size=200]MATLAB is one of the most popular programming languages today for engineers and scientists, and with good reason—it allows data analysts to work efficiently with large amounts of data. Let author Patrick Royal show you how to harness the MATLAB tools and gain a level of fluency with the language. He shows how to work with the core syntax, which is significantly different than other programming languages; create scripts and functions; debug your program; and finally, work with plots, annotations, and images. The final chapter covers external toolboxes—extensions and libraries that automate, complement, and enhance existing MATLAB functionality.
Topics include:
Installing MATLAB
Working with MATLAB variables
Working with matrix and scalar operations
Creating functions
Understanding performance considerations
Building basic plots
Creating responsive programs
Editing variables manually
Working with the Statistics Toolbox
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