pi is π, a truly magical number followed by countless people. I'm not quite sure what's so fascinating about an irrational number that repeats itself forever.
In my opinion, I am happy to calculate π, that is, to calculate the value of π. Because π is an irrational number, it is infinite. (Recommended learning: Python video tutorial)
This means that any calculation of π is only an approximation. If you calculate 100 digits, I can calculate 101 digits and be more precise. So far, some have singled out supercomputers to try to calculate the most accurate π. Some extreme values include calculating 500 million digits of pi. You can even find a text file online containing 10 billion digits of π (be careful! This file may take a while to download, and it won't open with your usual Notepad application.). For me, how to calculate π with a few lines of simple Python is what interests me.
π in python is the math.pi variable. It is included in the standard library, and you should import the math library before trying to calculate it yourself.
Let's look at a very straightforward method of calculating Pi. As usual, I'll be using Python 2.7, the same ideas and code may apply to different versions. Most of the algorithms we will use are taken from and implemented on the Pi WikiPedia page. Let's take a look at the following code:
import sys import math defmain(argv): iflen(argv) !=1: sys.exit('Usage: calc_pi.py <n>') print'\nComputing Pi v.01\n' a=1.0 b=1.0/math.sqrt(2) t=1.0/4.0 p=1.0 foriinrange(int(sys.argv[1])): at=(a+b)/2 bt=math.sqrt(a*b) tt=t-p*(a-at)**2 pt=2*p a=at;b=bt;t=tt;p=pt my_pi=(a+b)**2/(4*t) accuracy=100*(math.pi-my_pi)/my_pi print"Pi is approximately: "+str(my_pi) print"Accuracy with math.pi: "+str(accuracy) if__name__=="__main__": main(sys.argv[1:])</n>
This is a very simple script that you can download, run, modify, and share with others as you like.
For more Python related technical articles, please visit the Python Tutorial column to learn!
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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