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Doing Science with Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You'll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualizations, simulating natural events, and more. In the book's applied projects, you'll use these tools to write programs that perform tasks like counting tree rings, creating an interactive science slideshow, and simulating the foraging patterns of animals.
Doing Science with Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You'll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualizations, simulating natural events, and more. In the book's applied projects, you'll use these tools to write programs that perform tasks like counting tree rings, creating an interactive science slideshow, and simulating the foraging patterns of animals.
Part 1: Setting up for Science
1 Installing Anaconda and Launching Navigator
2 Keeping Organized with Conda Environments
3 Simple Scripting in Jupyter Qt Console
4 Serious Scripting with Spyder
5: Jupyter Notebook: An Interactive Journal for Computational Research
6 JupyterLab: Your Center for Science
Part 2: Python Primer
7 Integers and Floats and Strings
8 Variables
9 The Container Data Types
10 Flow Control
11 Functions and Modules
12 Working with Files and Folders
13 Object Oriented Programming
14 Documenting Your Work
Part 3: The Scientific and Visualization Libraries
15 The Scientific Libraries
16 The InfoVis and SciVis Visualization Libraries
17 The GeoVis Libraries
Part 4: The Essential Libraries
18 Numpy: Numerical Python
19 Demystifying Matplotlib
20 Pandas, seaborn, and scikit-learn
21 Managing Dates and Times with Python and Pandas
Appendix A: Answers to the "Test Your Knowledge" Challenges
| Erscheinungsjahr: | 2023 |
|---|---|
| Genre: | Technik allg. |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781718502666 |
| ISBN-10: | 1718502664 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Vaughan, Lee |
| Hersteller: |
Random House LLC US
No Starch Press |
| Maße: | 233 x 181 x 37 mm |
| Von/Mit: | Lee Vaughan |
| Erscheinungsdatum: | 17.01.2023 |
| Gewicht: | 1,153 kg |
Part 1: Setting up for Science
1 Installing Anaconda and Launching Navigator
2 Keeping Organized with Conda Environments
3 Simple Scripting in Jupyter Qt Console
4 Serious Scripting with Spyder
5: Jupyter Notebook: An Interactive Journal for Computational Research
6 JupyterLab: Your Center for Science
Part 2: Python Primer
7 Integers and Floats and Strings
8 Variables
9 The Container Data Types
10 Flow Control
11 Functions and Modules
12 Working with Files and Folders
13 Object Oriented Programming
14 Documenting Your Work
Part 3: The Scientific and Visualization Libraries
15 The Scientific Libraries
16 The InfoVis and SciVis Visualization Libraries
17 The GeoVis Libraries
Part 4: The Essential Libraries
18 Numpy: Numerical Python
19 Demystifying Matplotlib
20 Pandas, seaborn, and scikit-learn
21 Managing Dates and Times with Python and Pandas
Appendix A: Answers to the "Test Your Knowledge" Challenges
| Erscheinungsjahr: | 2023 |
|---|---|
| Genre: | Technik allg. |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781718502666 |
| ISBN-10: | 1718502664 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Vaughan, Lee |
| Hersteller: |
Random House LLC US
No Starch Press |
| Maße: | 233 x 181 x 37 mm |
| Von/Mit: | Lee Vaughan |
| Erscheinungsdatum: | 17.01.2023 |
| Gewicht: | 1,153 kg |
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