Parametre
- 304 stránok
- 11 hodin čítania
Viac o knihe
In Doing Math with Python you'll learn to how to use the Python programming language as a tool to delve into math concepts. Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion. Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science. If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.
Nákup knihy
Doing Math with Python, Amit Saha
- Jazyk
- Rok vydania
- 2015
- Väzba
- (mäkká),
- Stav knihy
- Veľmi dobrá
- Cena
- 10,39 €
Nikto zatiaľ neohodnotil.
- Titul
- Doing Math with Python
- Podtitul
- Use Programming to Explore Algebra, Statistics, Calculus, and More!
- Jazyk
- anglicky
- Autori
- Amit Saha
- Vydavateľ
- No Starch Press
- Rok vydania
- 2015
- Väzba
- mäkká
- Počet strán
- 304
- ISBN10
- 1593276400
- ISBN13
- 9781593276409
- Série
- Kategórie
- Štítky
- Príručky a návody, Technológia, Vzdelávanie & školstvo, Internet, Geometria, Štatistika, Čísla, Algoritmy, Spracovanie dát, HTML, Pravdepodobnosť, Python (programovací jazyk)
- Anotácia
- In Doing Math with Python you'll learn to how to use the Python programming language as a tool to delve into math concepts. Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion. Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science. If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.