Exploring Python: From 1 to 20 — A Comprehensive Journey through Code and Concepts

1. Hello, Python

print('Hello, Python!')

2. Variables and Data Types

name = 'Michael Jordan'
age = 33
height = 198
weight = 95

3. Lists

singers = ['Jackie Cheung', 'Andy Lau', 'Leon Lai']
singers.append('Aaron Kwok')
print(singers)

4. Dictionaries

singer = {'name': 'Jane Zhang', 'birthday': '1984-10-11', 'birthplace': 'Chengdu', 'height': 162, 'weight': 49}
print(singer['name'])

5. Loops

for i in range(1, 11):
    print(i)

6. Conditional Statements

score = 85
if score > 90:
    print('You are excellent!')
else:
    print('You are not excellent yet. Keep working!')

7. Functions

def add(a, b):
    return f'Result: {a + b}'

result = add(2, 3)
print(result)

8. Importing Modules

import math
print(math.sqrt(100))

9. Exception Handling

try:
    result = 2 / 0
except ZeroDivisionError:
    print("Cannot divide by zero!")

10. File Operations

with open('d:/test.txt', 'w') as f:
    f.write('Hello, Python!')

with open('d:/test.txt', 'r') as f:
    content = f.read()
    print(content)

11. Date and Time

from datetime import datetime
now = datetime.now()
print(now)

12. Regular Expressions

import re
text = 'Phone Number: 18688886666'
pattern = r'\d+'
match = re.search(pattern, text)
if match:
    print(match.group())  # Extracting phone number

13. Web Requests

import requests
resp = requests.get('https://www.google.com')
content = resp.text
print(content)

14. BeautifulSoup Web Scraping

from bs4 import BeautifulSoup
import requests
url = 'https://www.google.com'
resp = requests.get(url)
soup = BeautifulSoup(resp.text, 'html.parser')
print(soup)

15. Graphical User Interface (GUI)

import tkinter as tk
root = tk.Tk()
label = tk.Label(root, text='Hello, Python!')
label.pack()
root.mainloop()

16. Generating Test Data

from faker import Faker
fake = Faker()
print(fake.name())

17. Numpy Data Analysis

import numpy as np
arr = np.array([10, 20, 30, 40, 50])
print(arr.mean())

18. Pandas Data Processing

import pandas as pd
data = {'Name': ['Lu Bu', 'Zhao Yun', 'Dian Wei'], 'Power': [100, 95, 90]}
df = pd.DataFrame(data)
print(df)

19. Matplotlib Data Visualization

import matplotlib.pyplot as plt
x = [2, 4, 6, 8, 10]
y = [4, 8, 12, 16, 20]
plt.plot(x, y)
plt.show()

20. Plotly Data Visualization

import plotly.express as px
fig = px.scatter(x=[1, 2, 3, 4, 5], y=[2, 4, 6, 8, 10])
fig.show()

Summarize

Exploring Python: From 1 to 20 — A Comprehensive Journey through Code and Concepts