{"id":56002,"date":"2025-02-22T09:30:46","date_gmt":"2025-02-22T01:30:46","guid":{"rendered":"https:\/\/fwq.ai\/blog\/56002\/"},"modified":"2025-02-22T09:30:46","modified_gmt":"2025-02-22T01:30:46","slug":"%e4%bb%a3%e7%a0%81%e4%bc%98%e5%8c%96_it%e4%b8%93%e7%94%a8prompt-2","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/56002\/","title":{"rendered":"\u4ee3\u7801\u4f18\u5316_IT\u4e13\u7528Prompt"},"content":{"rendered":"

\u591a\u8fdb\u7a0b\u5e76\u884c\u8fd0\u7b97\u81ea\u52a8\u8f6c\u6362<\/h1>\n

\u6307\u4ee4\u683c\u5f0f<\/h3>\n

\u8bf7\u628a\u4e0b\u9762\u8fd9\u6bb5 Python \u4ee3\u7801\u8f6c\u6362\u4e3a\u591a\u8fdb\u7a0b\u5e76\u884c\u8fd0\u7b97 \u2014\u2014<\/p>\n

<\/p>\n

**Python \u4ee3\u7801<\/p>\n

\u6307\u4ee4\u793a\u4f8b<\/h3>\n

\u8bf7\u628a\u4e0b\u9762\u8fd9\u6bb5 Python \u4ee3\u7801\u8f6c\u6362\u4e3a\u591a\u8fdb\u7a0b\u5e76\u884c\u8fd0\u7b97 \u2014\u2014<\/p>\n

import time
def calc_square(numbers):
for n in numbers:
print(f’\\n{n} ^ 2 = {n*n}’)
time.sleep(0.1)<\/p>\n

def calc_cube(numbers):
for n in numbers:
print(f’\\n{n} ^ 3 = {nn<\/em>n}’)
time.sleep(0.1)<\/p>\n

numbers = [2, 3, 5, 8] start = time.time()
calc_square(numbers)
calc_cube(numbers)
end = time.time()<\/p>\n

print(‘Execution Time: {}’.format(end-start))<\/p>\n

\u4ee3\u7801\u6548\u7387\u5bf9\u6bd4<\/h1>\n

\u6307\u4ee4\u683c\u5f0f<\/h3>\n

\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u8f6f\u4ef6\u6d4b\u8bd5\u5de5\u7a0b\u5e08\uff0c\u6211\u60f3\u5bf9\u6bd4\u4ee5\u4e0b\u4e24\u6bb5\u6267\u884c\u76f8\u540c\u4efb\u52a1\u7684\u7b97\u6cd5\u4ee3\u7801\u7684\u8fd0\u884c\u6548\u7387\uff0c\u8bf7\u5199\u51fa\u4e00\u6bb5\u5faa\u73af\u6267\u884c\u4ee5\u4e0b\u7b97\u6cd5 [ \u53c2\u6570 ]<\/strong> \u7684\u4ee3\u7801\uff0c\u5e76\u7ed9\u51fa\u4e24\u6bb5\u4ee3\u7801\u5404\u81ea\u7684\u6267\u884c\u65f6\u95f4\u4ee5\u53ca\u76f8\u5173\u7684\u7edf\u8ba1\u4fe1\u606f<\/p>\n

\u4ee3\u7801 1:<\/strong><\/p>\n

\u4ee3\u7801 2:<\/strong><\/p>\n

\u6307\u4ee4\u793a\u4f8b<\/h3>\n

\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u8f6f\u4ef6\u6d4b\u8bd5\u5de5\u7a0b\u5e08\uff0c\u6211\u60f3\u5bf9\u6bd4\u4ee5\u4e0b\u4e24\u6bb5\u6267\u884c\u76f8\u540c\u4efb\u52a1\u7684\u7b97\u6cd5\u4ee3\u7801\u7684\u8fd0\u884c\u6548\u7387\uff0c\u8bf7\u5199\u51fa\u4e00\u6bb5\u5faa\u73af\u6267\u884c\u4ee5\u4e0b\u7b97\u6cd5 [ 10\u6b21 ]<\/strong> \u7684\u4ee3\u7801\uff0c\u5e76\u7ed9\u51fa\u4e24\u6bb5\u4ee3\u7801\u5404\u81ea>\u7684\u6267\u884c\u65f6\u95f4\u4ee5\u53ca\u76f8\u5173\u7684\u7edf\u8ba1\u4fe1\u606f<\/p>\n

# \u4ee3\u78011:\ndef compute1(a, b):\n    return (a+b) \/ (a*b)\n\n# \u4ee3\u78012:\nimport numpy as np\ndef compute2(a, b):\n    return np.divide(np.sum([a,b]), np.multiply(a,b))\n\n<\/code><\/pre>\n
\u81ea\u52a8\u5355\u5143\u5316\u6d4b\u8bd5<\/h1>\n
\u6307\u4ee4\u683c\u5f0f<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u8f6f\u4ef6\u6d4b\u8bd5\u5de5\u7a0b\u5e08\uff0c\u8bf7\u7f16\u5199 [ \u51fd\u6570 ]<\/strong> \u7684\u5355\u5143\u6d4b\u8bd5\u4ee3\u7801\uff0c\u6d4b\u8bd5\u6761\u4ef6\u4e3a\uff1a<\/p>\n
\u6d4b\u8bd5\u6761\u4ef6<\/strong><\/p>\n
\u6307\u4ee4\u793a\u4f8b<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u8f6f\u4ef6\u6d4b\u8bd5\u5de5\u7a0b\u5e08\uff0c\u8bf7\u7f16\u5199 [ def compute(a, b) ]<\/strong> \u7684\u5355\u5143\u6d4b\u8bd5\u4ee3\u7801\uff0c\u6d4b\u8bd5\u6761\u4ef6\u4e3a\uff1a<\/p>\n
\u8f93\u5165\uff1a1\u30011.2\u30010.99 | \u8f93\u51fa\uff1a1\u30011.2\u30010.99\n\u8f93\u5165\uff1a-1\u3001-1.2\u3001-0.99 | \u8f93\u51fa\uff1a1\u30011.2\u30010.99\n\u8f93\u5165\uff1a0 | \u8f93\u51fa\uff1a0\n\u8f93\u5165\uff1aNone\u3001[]\u3001{} | \u8f93\u51fa\uff1aTypeError\n<\/code><\/pre>\n
\u4ee3\u7801\u52a0\u901f<\/h1>\n
\u6307\u4ee4\u683c\u5f0f<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff0c\u5e2e\u6211\u4f18\u5316\u4ee5\u4e0b\u4ee3\u7801\u7684\u6267\u884c\u6548\u7387 \u2014\u2014<\/p>\n
Python \u4ee3\u7801<\/strong><\/p>\n
\u6307\u4ee4\u793a\u4f8b<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff0c\u5e2e\u6211\u4f18\u5316\u4ee5\u4e0b\u4ee3\u7801\u7684\u6267\u884c\u6548\u7387 \u2014\u2014<\/p>\n
def test(y):
 sum = 0
 for i in range (y+1):
 sum += 1
 return sum<\/p>\n
Pandas \u4ee3\u7801\u4f18\u5316<\/h1>\n
\u6307\u4ee4\u683c\u5f0f<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u4ee3\u7801\u4f18\u5316\u5668\uff0c\u5e2e\u6211\u4f18\u5316\u4ee5\u4e0b Pandas \u4ee3\u7801 \u2014\u2014<\/p>\n
Python \u4ee3\u7801<\/strong><\/p>\n
\u6307\u4ee4\u793a\u4f8b<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u4ee3\u7801\u4f18\u5316\u5668\uff0c\u5e2e\u6211\u4f18\u5316\u4ee5\u4e0b Pandas \u4ee3\u7801 \u2014\u2014<\/p>\n
import pandas as pd<\/p>\n
df = pd.read_csv(data_path + “titles.csv”)
 df_bad = df.query(“runtime > 30 & type == ‘SHOW'”)
 df_bad [“score”] = df_bad”imdb_score”, “tmdb_score”.sum(axis=1)
 df_bad = df_bad”seasons”, “score”
 df_bad = df_bad.groupby(“seasons”).agg([“count”, “mean”])
 df_bad = df_bad.droplevel(axis=1, level=0)
 df_bad = df_bad.query(“count > 10”)<\/p>\n
df_bad.head()<\/p>\n
\u4f4e\u7ea7\u4ee3\u7801\u6539\u5199<\/h1>\n
\u6307\u4ee4\u683c\u5f0f<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u4ee3\u7801\u4f18\u5316\u5668\uff0c\u4e0b\u9762\u7684\u4ee3\u7801\u5199\u7684\u6bd4\u8f83\u4f4e\u7ea7\uff0c\u8bf7\u5e2e\u6211\u4fee\u6539 \u2014\u2014<\/p>\n
Python \u4ee3\u7801<\/strong><\/p>\n
\u6307\u4ee4\u793a\u4f8b<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u4ee3\u7801\u4f18\u5316\u5668\uff0c\u4e0b\u9762\u7684\u4ee3\u7801\u5199\u7684\u6bd4\u8f83\u4f4e\u7ea7\uff0c\u8bf7\u5e2e\u6211\u4fee\u6539 \u2014\u2014<\/p>\n
numbers = [1, 2, 3] letters =[“A”, “B”, “C”] <\/p>\n
for index in range (len(numbers)):
 print(numbers[index], letters[index])<\/p>\n
\u4ee3\u7801\u7b80\u5316<\/h1>\n
\u6307\u4ee4\u683c\u5f0f<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u4ee3\u7801\u4f18\u5316\u5668\uff0c\u7b80\u5316\u4e0b\u9762\u7684\u4ee3\u7801 \u2014\u2014<\/p>\n
Python \u4ee3\u7801<\/strong><\/p>\n
\u6307\u4ee4\u793a\u4f8b<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u4ee3\u7801\u4f18\u5316\u5668\uff0c\u7b80\u5316\u4e0b\u9762\u7684\u4ee3\u7801 \u2014\u2014<\/p>\n
classes = [‘Intro to Python’,
 ‘R Data Analysis’,
 ‘Python Machine Learning’] grades = [98,
 96,
 89] grade_dict = {}
 for idx in range(len(classes)):
 grade_dict[classes[idx]] = grades[idx] print(grade_dict)<\/p>\n
\u4ee3\u7801\u6392\u9519<\/h1>\n
\u6307\u4ee4\u683c\u5f0f<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff0c\u5e2e\u6211\u6392\u9664\u4ee5\u4e0b\u4ee3\u7801\u4e2d\u7684\u9519\u8bef \u2014\u2014<\/p>\n
Python \u4ee3\u7801<\/strong><\/p>\n
\u6307\u4ee4\u793a\u4f8b<\/h3>\n
\u8bf7\u4f5c\u4e3a\u4e00\u4e2a\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff0c\u5e2e\u6211\u6392\u9664\u4ee5\u4e0b\u4ee3\u7801\u4e2d\u7684\u9519\u8bef \u2014\u2014<\/p>\n
def add_from_1_to_k(k):
 if (k > 0):
 result = k + add_from_1_to_k(k – 1)
 return result<\/p>\n
add_from_1_to_k(-10)<\/p>\n","protected":false},"excerpt":{"rendered":"
\u591a\u8fdb\u7a0b\u5e76\u884c\u8fd0\u7b97\u81ea\u52a8\u8f6c\u6362 \u6307\u4ee4\u683c\u5f0f \u8bf7\u628a\u4e0b\u9762\u8fd9\u6bb5 Python \u4ee3\u7801\u8f6c\u6362\u4e3a\u591a\u8fdb\u7a0b\u5e76\u884c\u8fd0\u7b97 \u2014\u2014 **Python \u4ee3\u7801 \u6307\u4ee4\u793a\u4f8b \u8bf7\u628a\u4e0b\u9762\u8fd9\u6bb5 Python \u4ee3\u7801\u8f6c\u6362\u4e3a\u591a\u8fdb\u7a0b\u5e76\u884c\u8fd0\u7b97 \u2014\u2014 import time def calc_square(numbers): for n in numbers: print(f’\\n{n} ^ 2 = {n*n}’) time.sleep(0.1) def calc_cube(numbers): for n in numbers: print(f’\\n{n} ^ 3 = {nnn}’) time.sleep(0.1) numbers = [2, 3, 5, 8] start = time.time() calc_square(numbers) calc_cube(numbers) end = time.time() print(‘Execution Time: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-56002","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/56002","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=56002"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/56002\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=56002"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=56002"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=56002"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}