{"id":937591,"date":"2024-12-26T19:55:00","date_gmt":"2024-12-26T11:55:00","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/937591.html"},"modified":"2024-12-26T19:55:02","modified_gmt":"2024-12-26T11:55:02","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%ae%a1%e7%ae%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/937591.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8ba1\u7b97"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25073345\/48baf2b1-1c03-4457-ab59-375d18842c7f.webp\" alt=\"python\u4e2d\u5982\u4f55\u8ba1\u7b97\" \/><\/p>\n<p><p> \u5728Python\u4e2d\u8fdb\u884c\u8ba1\u7b97\u975e\u5e38\u7b80\u5355\uff0c\u56e0\u4e3aPython\u5185\u7f6e\u4e86\u8bb8\u591a\u529f\u80fd\u5f3a\u5927\u7684\u5e93\u548c\u6a21\u5757\uff0c\u53ef\u4ee5\u7528\u4e8e\u5404\u79cd\u7c7b\u578b\u7684\u8ba1\u7b97\u4efb\u52a1\u3002<strong>Python\u4e2d\u8fdb\u884c\u8ba1\u7b97\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u57fa\u672c\u7b97\u672f\u8fd0\u7b97\u3001\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u8fdb\u884c\u6570\u5b66\u8ba1\u7b97\u3001\u501f\u52a9NumPy\u7b49\u79d1\u5b66\u8ba1\u7b97\u5e93\u3001\u4ee5\u53ca\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5206\u6790\u8ba1\u7b97<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528NumPy\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u662f\u6700\u4e3a\u5f3a\u5927\u548c\u7075\u6d3b\u7684\u65b9\u5f0f\u4e4b\u4e00\u3002NumPy\u5e93\u63d0\u4f9b\u4e86\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u548c\u8bb8\u591a\u53ef\u4ee5\u5bf9\u8fd9\u4e9b\u6570\u7ec4\u8fdb\u884c\u64cd\u4f5c\u7684\u51fd\u6570\uff0c\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u7684\u8ba1\u7b97\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u57fa\u672c\u7b97\u672f\u8fd0\u7b97<\/h3>\n<\/p>\n<p><p>Python\u652f\u6301\u57fa\u672c\u7684\u7b97\u672f\u8fd0\u7b97\u7b26\uff0c\u5982\u52a0\u6cd5\u3001\u51cf\u6cd5\u3001\u4e58\u6cd5\u548c\u9664\u6cd5\u3002\u8fd9\u4e9b\u64cd\u4f5c\u7b26\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u6570\u5b57\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<p><h4>1. \u52a0\u6cd5\u4e0e\u51cf\u6cd5<\/h4>\n<\/p>\n<p><p>\u52a0\u6cd5\u548c\u51cf\u6cd5\u662f\u6700\u57fa\u672c\u7684\u8fd0\u7b97\uff0cPython\u4f7f\u7528<code>+<\/code>\u548c<code>-<\/code>\u64cd\u4f5c\u7b26\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">a = 10<\/p>\n<p>b = 5<\/p>\n<p>sum_result = a + b  # \u52a0\u6cd5<\/p>\n<p>difference_result = a - b  # \u51cf\u6cd5<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u4e58\u6cd5\u4e0e\u9664\u6cd5<\/h4>\n<\/p>\n<p><p>\u4e58\u6cd5\u548c\u9664\u6cd5\u64cd\u4f5c\u7b26\u5206\u522b\u4e3a<code>*<\/code>\u548c<code>\/<\/code>\u3002Python\u652f\u6301\u6d6e\u70b9\u6570\u8fd0\u7b97\uff0c\u56e0\u6b64\u9664\u6cd5\u7684\u7ed3\u679c\u53ef\u80fd\u662f\u6d6e\u70b9\u6570\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">product_result = a * b  # \u4e58\u6cd5<\/p>\n<p>division_result = a \/ b  # \u9664\u6cd5<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. \u5e42\u8fd0\u7b97\u4e0e\u53d6\u6a21<\/h4>\n<\/p>\n<p><p>Python\u4f7f\u7528<code><\/code>\u8fdb\u884c\u5e42\u8fd0\u7b97\u548c<code>%<\/code>\u8fdb\u884c\u53d6\u6a21\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">power_result = a  2  # a\u7684\u5e73\u65b9<\/p>\n<p>modulus_result = a % b  # \u53d6\u6a21<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u8fdb\u884c\u6570\u5b66\u8ba1\u7b97<\/h3>\n<\/p>\n<p><p>Python\u7684<code>math<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u6570\u5b66\u51fd\u6570\uff0c\u53ef\u4ee5\u7528\u4e8e\u66f4\u590d\u6742\u7684\u6570\u5b66\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<p><h4>1. \u5f15\u5165math\u6a21\u5757<\/h4>\n<\/p>\n<p><p>\u8981\u4f7f\u7528\u8fd9\u4e9b\u51fd\u6570\uff0c\u9700\u8981\u5148\u5bfc\u5165<code>math<\/code>\u6a21\u5757\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import math<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u5e38\u7528\u6570\u5b66\u51fd\u6570<\/h4>\n<\/p>\n<ul>\n<li><strong>\u5e73\u65b9\u6839<\/strong>: \u4f7f\u7528<code>math.sqrt()<\/code>\u8ba1\u7b97\u5e73\u65b9\u6839\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">sqrt_result = math.sqrt(16)  # \u7ed3\u679c\u4e3a4.0<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u4e09\u89d2\u51fd\u6570<\/strong>: \u8ba1\u7b97\u6b63\u5f26\u3001\u4f59\u5f26\u3001\u6b63\u5207\u7b49\u3002<code>math.sin()<\/code>, <code>math.cos()<\/code>, <code>math.tan()<\/code>\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">sin_result = math.sin(math.pi \/ 2)  # \u7ed3\u679c\u4e3a1.0<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u5bf9\u6570<\/strong>: \u8ba1\u7b97\u81ea\u7136\u5bf9\u6570\u6216\u5176\u4ed6\u5e95\u6570\u7684\u5bf9\u6570\u3002<code>math.log()<\/code>, <code>math.log10()<\/code>\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">log_result = math.log(100)  # \u7ed3\u679c\u4e3a\u81ea\u7136\u5bf9\u6570\u7684\u503c<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u9636\u4e58<\/strong>: \u8ba1\u7b97\u9636\u4e58\u503c\u3002<code>math.factorial()<\/code>\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">factorial_result = math.factorial(5)  # \u7ed3\u679c\u4e3a120<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528NumPy\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97<\/h3>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u7684\u4e00\u4e2a\u5f3a\u5927\u5e93\uff0c\u5c24\u5176\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u65b9\u9762\u975e\u5e38\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u548c\u5bfc\u5165NumPy<\/h4>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5NumPy\u5e93\uff0c\u5982\u679c\u5c1a\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165NumPy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u521b\u5efa\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>NumPy\u7684\u6838\u5fc3\u662f\u5176\u6570\u7ec4\u5bf9\u8c61\uff0c\u79f0\u4e3andarray\u3002\u53ef\u4ee5\u4f7f\u7528<code>np.array()<\/code>\u521b\u5efa\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">array = np.array([1, 2, 3, 4, 5])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. \u6570\u7ec4\u8fd0\u7b97<\/h4>\n<\/p>\n<p><p>NumPy\u5141\u8bb8\u5bf9\u6570\u7ec4\u8fdb\u884c\u5404\u79cd\u7b97\u672f\u8fd0\u7b97\uff0c\u8fd9\u4e9b\u8fd0\u7b97\u4f1a\u5e94\u7528\u5230\u6570\u7ec4\u7684\u6bcf\u4e2a\u5143\u7d20\u4e0a\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u52a0\u6cd5<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">array_sum = array + 2  # \u6bcf\u4e2a\u5143\u7d20\u52a02<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u4e58\u6cd5<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">array_product = array * 2  # \u6bcf\u4e2a\u5143\u7d20\u4e582<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u77e9\u9635\u8fd0\u7b97<\/strong>: NumPy\u652f\u6301\u77e9\u9635\u7684\u52a0\u6cd5\u3001\u4e58\u6cd5\u3001\u8f6c\u7f6e\u7b49\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">matrix_a = np.array([[1, 2], [3, 4]])<\/p>\n<p>matrix_b = np.array([[5, 6], [7, 8]])<\/p>\n<p>matrix_sum = matrix_a + matrix_b  # \u77e9\u9635\u52a0\u6cd5<\/p>\n<p>matrix_product = np.dot(matrix_a, matrix_b)  # \u77e9\u9635\u4e58\u6cd5<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5206\u6790\u8ba1\u7b97<\/h3>\n<\/p>\n<p><p>Pandas\u662fPython\u4e2d\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u4e00\u4e2a\u91cd\u8981\u5de5\u5177\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406\u548c\u5206\u6790\u8868\u683c\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u548c\u5bfc\u5165Pandas<\/h4>\n<\/p>\n<p><p>\u540c\u6837\u9700\u8981\u5b89\u88c5Pandas\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5bfc\u5165Pandas\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u521b\u5efaDataFrame<\/h4>\n<\/p>\n<p><p>DataFrame\u662fPandas\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u8868\u683c\u3002\u521b\u5efaDataFrame\u53ef\u4ee5\u4ece\u5b57\u5178\u3001\u5217\u8868\u3001NumPy\u6570\u7ec4\u7b49\u591a\u79cd\u6570\u636e\u7ed3\u6784\u4e2d\u8fdb\u884c\u8f6c\u6362\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = {&#39;Name&#39;: [&#39;Alice&#39;, &#39;Bob&#39;, &#39;Charlie&#39;], &#39;Age&#39;: [25, 30, 35]}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. \u6570\u636e\u8fd0\u7b97<\/h4>\n<\/p>\n<ul>\n<li><strong>\u8ba1\u7b97\u5217\u7684\u5e73\u5747\u503c<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">average_age = df[&#39;Age&#39;].mean()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u6570\u636e\u7b5b\u9009<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">filtered_df = df[df[&#39;Age&#39;] &gt; 30]  # \u7b5b\u9009\u51fa\u5e74\u9f84\u5927\u4e8e30\u7684\u884c<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u6570\u636e\u5206\u7ec4<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">grouped_data = df.groupby(&#39;Name&#39;).sum()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u4f7f\u7528SymPy\u8fdb\u884c\u7b26\u53f7\u8ba1\u7b97<\/h3>\n<\/p>\n<p><p>SymPy\u662fPython\u4e2d\u7684\u4e00\u4e2a\u7b26\u53f7\u8ba1\u7b97\u5e93\uff0c\u9002\u7528\u4e8e\u4ee3\u6570\u8868\u8fbe\u5f0f\u7684\u64cd\u4f5c\u548c\u6c42\u89e3\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u548c\u5bfc\u5165SymPy<\/h4>\n<\/p>\n<p><p>\u5b89\u88c5SymPy\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install sympy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5bfc\u5165SymPy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import sympy as sp<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u7b26\u53f7\u8ba1\u7b97<\/h4>\n<\/p>\n<ul>\n<li><strong>\u7b26\u53f7\u53d8\u91cf<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">x = sp.symbols(&#39;x&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u8868\u8fbe\u5f0f\u6c42\u5bfc<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">expr = x2 + 3*x + 2<\/p>\n<p>derivative = sp.diff(expr, x)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u65b9\u7a0b\u6c42\u89e3<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">equation = sp.Eq(x2 + 3*x + 2, 0)<\/p>\n<p>solution = sp.solve(equation, x)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u4f7f\u7528SciPy\u8fdb\u884c\u9ad8\u7ea7\u8ba1\u7b97<\/h3>\n<\/p>\n<p><p>SciPy\u662fPython\u4e2d\u7528\u4e8e\u6570\u5b66\u3001\u79d1\u5b66\u548c\u5de5\u7a0b\u8ba1\u7b97\u7684\u4e00\u4e2a\u5e93\uff0c\u57fa\u4e8eNumPy\u6784\u5efa\uff0c\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u51fd\u6570\u548c\u7b97\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u548c\u5bfc\u5165SciPy<\/h4>\n<\/p>\n<p><p>\u5b89\u88c5SciPy\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scipy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5bfc\u5165SciPy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy import integrate<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u9ad8\u7ea7\u8ba1\u7b97<\/h4>\n<\/p>\n<ul>\n<li><strong>\u79ef\u5206\u8ba1\u7b97<\/strong>: \u4f7f\u7528<code>scipy.integrate<\/code>\u6a21\u5757\u8ba1\u7b97\u5b9a\u79ef\u5206\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">result, error = integrate.quad(lambda x: x2, 0, 1)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u4fe1\u53f7\u5904\u7406<\/strong>: SciPy\u63d0\u4f9b\u4e86\u4fe1\u53f7\u5904\u7406\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u8fdb\u884c\u6ee4\u6ce2\u3001\u5085\u91cc\u53f6\u53d8\u6362\u7b49\u64cd\u4f5c\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">from scipy.fft import fft<\/p>\n<p>signal = np.array([1, 2, 3, 4, 5])<\/p>\n<p>transformed_signal = fft(signal)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u4f7f\u7528Matplotlib\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/h3>\n<\/p>\n<p><p>\u867d\u7136\u4e0d\u662f\u76f4\u63a5\u7684\u8ba1\u7b97\u5de5\u5177\uff0c\u4f46Matplotlib\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684\u91cd\u8981\u5e93\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u8ba1\u7b97\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u548c\u5bfc\u5165Matplotlib<\/h4>\n<\/p>\n<p><p>\u5b89\u88c5Matplotlib\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5bfc\u5165Matplotlib\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u7ed8\u5236\u57fa\u672c\u56fe\u5f62<\/h4>\n<\/p>\n<ul>\n<li><strong>\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">x = np.linspace(0, 10, 100)<\/p>\n<p>y = np.sin(x)<\/p>\n<p>plt.plot(x, y)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u7ed8\u5236\u6563\u70b9\u56fe<\/strong>:<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">x = np.random.rand(50)<\/p>\n<p>y = np.random.rand(50)<\/p>\n<p>plt.scatter(x, y)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u4f7f\u7528\u5176\u4ed6Python\u5e93\u8fdb\u884c\u4e13\u7528\u8ba1\u7b97<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u4e0a\u8ff0\u63d0\u5230\u7684\u5e93\uff0cPython\u8fd8\u6709\u8bb8\u591a\u5176\u4ed6\u4e13\u95e8\u7528\u4e8e\u4e0d\u540c\u9886\u57df\u7684\u5e93\uff0c\u5982TensorFlow\u548cPyTorch\u7528\u4e8e<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\uff0cNetworkX\u7528\u4e8e\u7f51\u7edc\u5206\u6790\uff0c\u7b49\u7b49\u3002<\/p>\n<\/p>\n<p><h4>1. \u673a\u5668\u5b66\u4e60\u8ba1\u7b97<\/h4>\n<\/p>\n<ul>\n<li><strong>TensorFlow\u548cKeras<\/strong>: \u7528\u4e8e\u6784\u5efa\u548c\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">import tensorflow as tf<\/p>\n<p>from tensorflow.keras.models import Sequential<\/p>\n<p>from tensorflow.keras.layers import Dense<\/p>\n<p>model = Sequential([<\/p>\n<p>    Dense(64, activation=&#39;relu&#39;, input_shape=(32,)),<\/p>\n<p>    Dense(64, activation=&#39;relu&#39;),<\/p>\n<p>    Dense(10, activation=&#39;softmax&#39;),<\/p>\n<p>])<\/p>\n<p>model.compile(optimizer=&#39;adam&#39;, loss=&#39;sparse_categorical_crossentropy&#39;, metrics=[&#39;accuracy&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u7f51\u7edc\u5206\u6790<\/h4>\n<\/p>\n<ul>\n<li><strong>NetworkX<\/strong>: \u7528\u4e8e\u521b\u5efa\u548c\u5206\u6790\u56fe\u7ed3\u6784\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">import networkx as nx<\/p>\n<p>G = nx.Graph()<\/p>\n<p>G.add_edge(&#39;A&#39;, &#39;B&#39;)<\/p>\n<p>G.add_edge(&#39;B&#39;, &#39;C&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e5d\u3001Python\u8ba1\u7b97\u7684\u6027\u80fd\u4f18\u5316<\/h3>\n<\/p>\n<p><p>Python\u56e0\u5176\u6613\u7528\u6027\u800c\u5e7f\u53d7\u6b22\u8fce\uff0c\u4f46\u5728\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\u4e2d\uff0c\u6709\u65f6\u4f1a\u53d7\u5230\u6027\u80fd\u9650\u5236\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316\u6027\u80fd\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><h4>1. \u4f7f\u7528Cython<\/h4>\n<\/p>\n<p><p>Cython\u662f\u4e00\u79cd\u8d85\u96c6\u7684Python\u8bed\u8a00\uff0c\u53ef\u4ee5\u5c06Python\u4ee3\u7801\u7f16\u8bd1\u4e3aC\u4ee3\u7801\uff0c\u63d0\u9ad8\u6267\u884c\u901f\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install cython<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u4f7f\u7528NumPy\u7684\u5411\u91cf\u5316\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u5c3d\u91cf\u4f7f\u7528NumPy\u7684\u5411\u91cf\u5316\u64cd\u4f5c\u800c\u4e0d\u662fPython\u7684for\u5faa\u73af\uff0c\u56e0\u4e3aNumPy\u7684\u64cd\u4f5c\u662f\u5728C\u7ea7\u522b\u5b9e\u73b0\u7684\uff0c\u901f\u5ea6\u66f4\u5feb\u3002<\/p>\n<\/p>\n<p><h4>3. \u5e76\u884c\u5316\u8ba1\u7b97<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528Python\u7684\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u6a21\u5757\uff08\u5982<code>threading<\/code>\u6216<code>multiprocessing<\/code>\uff09\u8fdb\u884c\u5e76\u884c\u8ba1\u7b97\uff0c\u5145\u5206\u5229\u7528\u591a\u6838\u5904\u7406\u5668\u7684\u80fd\u529b\u3002<\/p>\n<\/p>\n<p><h4>4. \u4f7f\u7528JIT\u7f16\u8bd1\u5668<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528\u5982Numba\u8fd9\u6837\u7684JIT\u7f16\u8bd1\u5668\uff0c\u53ef\u4ee5\u5728\u8fd0\u884c\u65f6\u7f16\u8bd1Python\u4ee3\u7801\uff0c\u63d0\u9ad8\u6267\u884c\u901f\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from numba import jit<\/p>\n<p>@jit<\/p>\n<p>def fast_function(a):<\/p>\n<p>    return a + 1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u5341\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>Python\u4e3a\u8ba1\u7b97\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u652f\u6301\uff0c\u4ece\u7b80\u5355\u7684\u7b97\u672f\u8fd0\u7b97\u5230\u590d\u6742\u7684\u79d1\u5b66\u548c\u6570\u636e\u5206\u6790\u8ba1\u7b97\uff0c\u90fd\u53ef\u4ee5\u5728Python\u4e2d\u65b9\u4fbf\u5730\u5b9e\u73b0\u3002\u5229\u7528Python\u4e30\u5bcc\u7684\u5e93\u548c\u5de5\u5177\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u8fdb\u884c\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u7b26\u53f7\u8fd0\u7b97\u3001\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u3001\u56fe\u5f62\u5904\u7406\u7b49\u591a\u79cd\u8ba1\u7b97\u4efb\u52a1\u3002\u540c\u65f6\uff0c\u901a\u8fc7\u6027\u80fd\u4f18\u5316\u6280\u672f\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u63d0\u5347Python\u8ba1\u7b97\u7684\u6548\u7387\uff0c\u6ee1\u8db3\u66f4\u9ad8\u7684\u8ba1\u7b97\u9700\u6c42\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u6267\u884c\u57fa\u672c\u7684\u6570\u5b66\u8fd0\u7b97\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e38\u89c4\u7684\u6570\u5b66\u8fd0\u7b97\u7b26\u8fdb\u884c\u57fa\u672c\u7684\u8ba1\u7b97\uff0c\u4f8b\u5982\u52a0\u6cd5\uff08+\uff09\u3001\u51cf\u6cd5\uff08-\uff09\u3001\u4e58\u6cd5\uff08*\uff09\u548c\u9664\u6cd5\uff08\/\uff09\u3002\u4f8b\u5982\uff0c\u6267\u884c <code>result = 5 + 3<\/code> \u5c06\u8ba1\u7b975\u4e0e3\u7684\u548c\u3002\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u8fd0\u7b97\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>math<\/code> \u6a21\u5757\u63d0\u4f9b\u7684\u51fd\u6570\uff0c\u6bd4\u5982\u5e73\u65b9\u6839\u3001\u4e09\u89d2\u51fd\u6570\u7b49\uff0c\u4f7f\u7528\u524d\u9700\u8981\u901a\u8fc7 <code>import math<\/code> \u5f15\u5165\u8be5\u6a21\u5757\u3002<\/p>\n<p><strong>Python\u4e2d\u5982\u4f55\u5904\u7406\u6d6e\u70b9\u6570\u548c\u6574\u6570\u7684\u8fd0\u7b97\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u6574\u6570\u548c\u6d6e\u70b9\u6570\u7684\u8fd0\u7b97\u662f\u81ea\u52a8\u5904\u7406\u7684\u3002\u5f53\u5c06\u6574\u6570\u4e0e\u6d6e\u70b9\u6570\u8fdb\u884c\u8fd0\u7b97\u65f6\uff0c\u7ed3\u679c\u5c06\u662f\u6d6e\u70b9\u6570\u3002\u4f8b\u5982\uff0c<code>result = 5 + 3.0<\/code> \u4f1a\u5f97\u5230\u7ed3\u679c8.0\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u6d6e\u70b9\u6570\u8fd0\u7b97\u53ef\u80fd\u4f1a\u51fa\u73b0\u7cbe\u5ea6\u95ee\u9898\uff0c\u7279\u522b\u662f\u5728\u8fdb\u884c\u5927\u91cf\u8ba1\u7b97\u65f6\uff0c\u56e0\u6b64\u5728\u9700\u8981\u9ad8\u7cbe\u5ea6\u7684\u573a\u5408\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>decimal<\/code> \u6a21\u5757\u6765\u5904\u7406\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u5982\u4f55\u8ba1\u7b97\u5217\u8868\u6216\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u603b\u548c\uff1f<\/strong><br \/>\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684 <code>sum()<\/code> \u51fd\u6570\u6765\u8ba1\u7b97\u5217\u8868\u6216\u6570\u7ec4\u4e2d\u6240\u6709\u5143\u7d20\u7684\u603b\u548c\u3002\u4f8b\u5982\uff0c<code>numbers = [1, 2, 3, 4]<\/code>\uff0c\u901a\u8fc7 <code>total = sum(numbers)<\/code> \u53ef\u4ee5\u5f97\u51fa\u603b\u548c\u4e3a10\u3002\u5982\u679c\u9700\u8981\u5bf9\u7279\u5b9a\u6761\u4ef6\u4e0b\u7684\u5143\u7d20\u8fdb\u884c\u6c42\u548c\uff0c\u53ef\u4ee5\u7ed3\u5408\u5217\u8868\u63a8\u5bfc\u5f0f\u6216 <code>filter()<\/code> \u51fd\u6570\u6765\u5b9e\u73b0\u66f4\u590d\u6742\u7684\u8ba1\u7b97\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8fdb\u884c\u8ba1\u7b97\u975e\u5e38\u7b80\u5355\uff0c\u56e0\u4e3aPython\u5185\u7f6e\u4e86\u8bb8\u591a\u529f\u80fd\u5f3a\u5927\u7684\u5e93\u548c\u6a21\u5757\uff0c\u53ef\u4ee5\u7528\u4e8e\u5404\u79cd\u7c7b\u578b\u7684\u8ba1\u7b97\u4efb\u52a1\u3002P [&hellip;]","protected":false},"author":3,"featured_media":937594,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/937591"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=937591"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/937591\/revisions"}],"predecessor-version":[{"id":937597,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/937591\/revisions\/937597"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/937594"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=937591"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=937591"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=937591"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}