一、基础语法阶段(1-2周)
1.1 开发环境搭建
-
安装Python 3.10+版本
-
配置VS Code/PyCharm开发环境
-
掌握pip包管理工具
1.2 核心语法要素
python
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# 变量与基础运算
name = "Alice"
age = 25
height = 1.68
print(f"{name}今年{age}岁,身高{height:.2f}米")
# 流程控制示例
score = 85
if score >= 90:
print("优秀")
elif score >= 75:
print("良好")
else:
print("继续努力")
# 循环结构实战
for i in range(1, 6):
print(f"正在处理第{i}个元素")
if i % 2 == 0:
print("--> 这是偶数")
# 函数基础
def calculate_bmi(weight, height):
"""计算BMI指数"""
bmi = weight / (height ** 2)
return round(bmi, 1)
print(calculate_bmi(70, 1.75)) # 输出22.9
1.3 数据结构专题
python
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# 列表操作
fruits = ["apple", "banana", "orange"]
fruits.append("grape")
print(fruits[1:3]) # ['banana', 'orange']
# 字典应用
student = {
"name": "Bob",
"courses": ["Math", "CS"],
"scores": {"Math": 90, "CS": 85}
}
print(student["scores"]["CS"]) # 85
# 集合运算
A = {1, 2, 3}
B = {3, 4, 5}
print(A & B) # {3}
二、进阶编程阶段(3-4周)
2.1 面向对象编程
python
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class BankAccount:
"""银行账户类"""
def __init__(self, owner, balance=0):
self.owner = owner
self.balance = balance
def deposit(self, amount):
if amount > 0:
self.balance += amount
print(f"存入{amount},当前余额:{self.balance}")
def withdraw(self, amount):
if 0 < amount <= self.balance:
self.balance -= amount
return amount
print("取款失败")
return 0
# 创建实例
account = BankAccount("Alice", 1000)
account.deposit(500)
account.withdraw(200)
2.2 异常处理机制
python
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def safe_divide(a, b):
try:
result = a / b
except ZeroDivisionError:
print("错误:除数不能为0")
return None
except TypeError:
print("错误:输入类型不正确")
return None
else:
print("计算成功")
return result
finally:
print("执行结束")
print(safe_divide(10, 2)) # 正常执行
print(safe_divide(10, 0)) # 触发异常
2.3 文件操作实战
python
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# CSV文件处理
import csv
with open('data.csv', 'w', newline='') as f:
writer = csv.writer(f)
writer.writerow(["Name", "Age"])
writer.writerows([
["Alice", 25],
["Bob", 30]
])
# JSON数据解析
import json
data = {
"system": "Windows",
"users": ["Admin", "Guest"],
"active": True
}
json_str = json.dumps(data, indent=2)
print(json_str)
三、应用开发阶段(4-6周)
3.1 Web开发基础(Flask)
python
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from flask import Flask, render_template
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html', title='首页')
@app.route('/user/<username>')
def show_user(username):
return f'用户:{username}'
if __name__ == '__main__':
app.run(debug=True)
3.2 数据分析入门(Pandas)
python
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import pandas as pd
# 创建数据集
data = {
'Date': ['2023-01', '2023-02', '2023-03'],
'Sales': [12000, 15000, 18000],
'Expenses': [8000, 8500, 9000]
}
df = pd.DataFrame(data)
# 数据处理
df['Profit'] = df['Sales'] - df['Expenses']
print(df.describe())
# 可视化展示
df.plot(x='Date', y=['Sales', 'Expenses'], kind='bar')
3.3 自动化脚本示例
python
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import os
import shutil
from datetime import datetime
def organize_files(source_dir):
"""文件分类整理工具"""
for filename in os.listdir(source_dir):
file_path = os.path.join(source_dir, filename)
if os.path.isfile(file_path):
# 按扩展名分类
ext = filename.split('.')[-1].lower()
target_dir = os.path.join(source_dir, ext)
if not os.path.exists(target_dir):
os.mkdir(target_dir)
shutil.move(file_path, target_dir)
print(f"已移动 {filename} 到 {ext} 目录")
organize_files('./downloads')
四、深入进阶阶段(4-8周)
4.1 并发编程实践
python
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import concurrent.futures
import time
def task(n):
print(f"开始任务 {n}")
time.sleep(1)
return f"任务 {n} 完成"
# 线程池示例
with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor:
results = executor.map(task, range(5))
for result in results:
print(result)
4.2 装饰器高级用法
python
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def logger(func):
"""执行日志记录装饰器"""
def wrapper(*args, **kwargs):
print(f"开始执行 {func.__name__}")
result = func(*args, **kwargs)
print(f"执行完成,返回值:{result}")
return result
return wrapper
@logger
def complex_calc(a, b):
return a ** 2 + b ** 2
print(complex_calc(3, 4)) # 25
4.3 网络编程基础
python
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import socket
def start_server():
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind(('localhost', 8080))
server.listen(1)
print("等待连接...")
client, addr = server.accept()
print(f"来自 {addr} 的连接")
client.send(b"Hello from server!")
data = client.recv(1024)
print(f"收到消息:{data.decode()}")
client.close()
server.close()
start_server()
五、项目实战阶段(持续进行)
5.1 网络爬虫开发
python
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import requests
from bs4 import BeautifulSoup
def get_news():
url = 'https://news.baidu.com/'
headers = {'User-Agent': 'Mozilla/5.0'}
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, 'html.parser')
for item in soup.select('.hotnews a'):
title = item.text.strip()
link = item['href']
print(f"{title}: {link}")
get_news()
5.2 数据可视化仪表盘
python
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import dash
from dash import dcc, html
import plotly.express as px
app = dash.Dash(__name__)
df = px.data.gapminder().query("year == 2007")
app.layout = html.Div([
dcc.Graph(
figure=px.scatter(
df, x="gdpPercap", y="lifeExp",
size="pop", color="continent",
log_x=True, size_max=60
)
)
])
if __name__ == '__main__':
app.run_server(debug=True)
5.3 API服务开发
python
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from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class User(BaseModel):
username: str
email: str
users_db = []
@app.post("/users/")
def create_user(user: User):
users_db.append(user.dict())
return {"status": "created"}
@app.get("/users/")
def list_users():
return users_db
学习路线总结
-
持续实践:每个阶段都要完成至少2个代码项目
-
参与开源:从简单的issue开始参与GitHub项目
-
代码优化:定期重构旧代码,应用新学知识
-
技术分享:通过博客记录学习心得
-
算法训练:定期在LeetCode练习编程题
建议学习周期:每天保持2小时有效学习,6个月可达到中级开发水平。重点在于将每个阶段的知识点应用到实际场景中,通过项目积累经验。

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