7 Fun Python Projects You Can Build in Minutes

There is a famous saying about Python: "Don't reinvent the wheel." The article points out three problems: not knowing existing libraries, recreating functionality that already exists, and collecting data without clear purpose. It then presents seven ready‑to‑run Python 3.6.4 examples.

1. Scrape Zhihu Images with 30 Lines of Code

from selenium import webdriver
import time
import urllib.request
import re

driver = webdriver.Chrome()
driver.maximize_window()
driver.get("https://www.zhihu.com/question/29134042")
i = 0
while i < 10:
    driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
    time.sleep(2)
    try:
        driver.find_element_by_css_selector('button.QuestionMainAction').click()
        print("page" + str(i))
        time.sleep(1)
    except:
        break
result_raw = driver.page_source
content_list = re.findall("img src=\"(.+?)\" ", str(result_raw))
n = 0
while n < len(content_list):
    i = time.time()
    local = (r"%s.jpg" % (i))
    urllib.request.urlretrieve(content_list[n], local)
    print("编号：" + str(i))
    n = n + 1

2. Let Two Chatbots Talk to Each Other

from time import sleep
import requests
s = input("请主人输入话题：")
while True:
    resp = requests.post("http://www.tuling123.com/openapi/api", data={"key":"4fede3c4384846b9a7d0456a5e1e2943", "info": s, })
    resp = resp.json()
    sleep(1)
    print('小鱼：', resp['text'])
    s = resp['text']
    resp = requests.get("http://api.qingyunke.com/api.php", {"key":"free", "appid":0, "msg": s})
    resp.encoding = 'utf8'
    resp = resp.json()
    sleep(1)
    print('菲菲：', resp['content'])
# Additional example using 小i robot via web scraping (omitted for brevity)

3. Analyze Tang Poetry Author (Li Bai vs Du Fu)

import jieba
from nltk.classify import NaiveBayesClassifier

# Load Li Bai poems
text1 = open(r"libai.txt", "rb").read()
list1 = jieba.cut(text1)
result1 = " ".join(list1)
# Load Du Fu poems
text2 = open(r"dufu.txt", "rb").read()
list2 = jieba.cut(text2)
result2 = " ".join(list2)

libai = result1
dufu = result2

def word_feats(words):
    return dict([(word, True) for word in words])

libai_features = [(word_feats(lb), 'lb') for lb in libai]
dufu_features = [(word_feats(df), 'df') for df in dufu]
train_set = libai_features + dufu_features
classifier = NaiveBayesClassifier.train(train_set)

sentence = input("请输入一句你喜欢的诗：")
seg_list = jieba.cut(sentence)
words = " ".join(seg_list).split(" ")

lb = 0
df = 0
for word in words:
    classResult = classifier.classify(word_feats(word))
    if classResult == 'lb':
        lb += 1
    if classResult == 'df':
        df += 1

x = float(str(float(lb) / len(words)))
y = float(str(float(df) / len(words)))
print('李白的可能性：%.2f%%' % (x * 100))
print('杜甫的可能性：%.2f%%' % (y * 100))

4. Random Lottery Number Generator (35 choose 7)

import random

temp = [i + 1 for i in range(35)]
random.shuffle(temp)
i = 0
list = []
while i < 7:
    list.append(temp[i])
    i = i + 1
list.sort()
print('\033[0;31;;1m')
print(*list[0:6], end="")
print('\033[0;34;;1m', end=" ")
print(list[-1])

5. Auto‑Generate an Apology Letter

import random
import xlrd

ExcelFile = xlrd.open_workbook(r'test.xlsx')
sheet = ExcelFile.sheet_by_name('Sheet1')
i = []
x = input("请输入具体事件：")
y = int(input("老师要求的字数："))
while len(str(i)) < y * 1.2:
    s = random.randint(1, 60)
    rows = sheet.row_values(s)
    i.append(*rows)
print("        检讨书
老师：")
print("我不应该" + str(x) + "，", *i)
print("再次请老师原谅！")

6. Screen Capture Recorder

from time import sleep
from PIL import ImageGrab

m = int(input("请输入想抓屏几分钟："))
m = m * 60
n = 1
while n < m:
    sleep(0.02)
    im = ImageGrab.grab()
    local = (r"%s.jpg" % (n))
    im.save(local, 'jpeg')
    n = n + 1

7. Create a GIF Animation

from PIL import Image

im = Image.open("1.jpg")
images = []
images.append(Image.open('2.jpg'))
images.append(Image.open('3.jpg'))
im.save('gif.gif', save_all=True, append_images=images, loop=1, duration=1, comment=b"aaabb")

Feel free to try these scripts and explore their possibilities.