一、Python简介
Python是一种面向对象、解释型的高级程序设计语言。Python语言简洁、易读、易学,适用范围广泛,在数据科学、web开发、自动化、机器学习、人工智能等方面都有广泛的应用。Python首次发布于1991年,由Guido van Rossum创建,目前Python的最新版本是3.8.5。
二、Python基础知识
1、Hello World
print("Hello World!")
2、变量和数据类型
message = "Hello Python World!" print(message) name = "ada lovelace" print(name.title()) print(name.upper()) print(name.lower())
3、列表和元组
fruits = ['apple', 'banana', 'orange'] print(fruits) print(fruits[0]) print(fruits[-1]) dimensions = (200, 50) print(dimensions[0]) print(dimensions[1])
三、Python进阶
1、函数
def greet_user(username): print("Hello, " + username.title() + "!") greet_user('jesse')
2、类和对象
class Dog(): def __init__(self, name, age): self.name = name self.age = age def sit(self): print(self.name.title() + " is now sitting.") my_dog = Dog('willie', 6) print(my_dog.name) print(my_dog.age) my_dog.sit()
3、文件读写
filename = 'pi_digits.txt' with open(filename) as file_object: contents = file_object.read() print(contents.rstrip())
四、Python实战
1、数据可视化
import matplotlib.pyplot as plt x_values = [1, 2, 3, 4, 5] y_values = [1, 4, 9, 16, 25] plt.plot(x_values, y_values) plt.show()
2、web应用开发
from flask import Flask app = Flask(__name__) @app.route('/') def index(): return 'Hello World!' if __name__ == '__main__': app.run()
3、机器学习
from sklearn import datasets from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier iris = datasets.load_iris() X = iris.data y = iris.target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3) clf = KNeighborsClassifier() clf.fit(X_train, y_train) print(clf.score(X_test, y_test))以上只是部分内容,通过《Python编程:从入门到实践》的学习,可以更深入地了解Python语言及其应用,为开发更多实用的应用提供帮助和支持。