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Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science. Learn how to:
–Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots
–Explore set theory and probability with programs for coin flips, dicing, and other games of chance
–Solve algebra problems using Python’s symbolic math functions
–Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set
–Write programs to find derivatives and integrate functions
Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You’ll write an inequality solver, plot gravity’s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 "darts" at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more.
Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes programming easy and practical. Let Python handle the grunt work while you focus on the math.
Uses Python 3
Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science. Learn how to:
–Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots
–Explore set theory and probability with programs for coin flips, dicing, and other games of chance
–Solve algebra problems using Python’s symbolic math functions
–Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set
–Write programs to find derivatives and integrate functions
Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You’ll write an inequality solver, plot gravity’s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 "darts" at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more.
Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes programming easy and practical. Let Python handle the grunt work while you focus on the math.
Uses Python 3
- Meets growing demand for programming and STEM education
-A great follow-up to Python for Kids, which has sold 30,000 copies
Chapter 1: Working with Numbers
Chapter 2: Visualizing Data with Graphs
Chapter 3: Describing Data with Statistics
Chapter 4: Algebra and Symbolic Math with SymPy
Chapter 5: Playing with Sets and Probability
Chapter 6: Drawing Geometric Shapes and Fractals
Chapter 7: Solving Calculus Problems
Afterword
Appendix A: Software Installation
Appendix B: Overview of Python Topics
| Empfohlen (bis): | 17 |
|---|---|
| Empfohlen (von): | 14 |
| Erscheinungsjahr: | 2016 |
| Fachbereich: | Programmiersprachen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
XIV
245 S. |
| ISBN-13: | 9781593276409 |
| ISBN-10: | 1593276400 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Saha, Amit |
| Hersteller: | No Starch Press,US |
| Verantwortliche Person für die EU: | Petersen Buchimport GmbH, Vertrieb, Weidestr. 122a, D-22083 Hamburg, gpsr@petersen-buchimport.com |
| Maße: | 233 x 177 x 20 mm |
| Von/Mit: | Amit Saha |
| Erscheinungsdatum: | 15.02.2016 |
| Gewicht: | 0,516 kg |
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