- +在此添加单个AI新笔记
Pandas
高性能数据处理工具
¥139.9元/年
共89篇
36人已购买
多人评价质量很好
300+人感兴趣
近7天200+人逛过
市场研究易决策
销售分析识别畅滞
运营分析数据直观
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知识点
87+
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案例实践
120+
个
开发思路
290+
个
思维链养成
150+
条
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python高级程序员
python
pandas
Flask
“数据时代核心技能：用Numpy/Pandas驾驭科学计算，征服数据时代：通过Python工具链完成数据计算与可视化，实战奠基数据科学能力，职业赛道由此启航！”
只要python已入门，pandas不会难
数据分析师
数据科学家
商业分析师
金融分析师
量化研究员
市场研究人员
科研人员/工程师
软件开发工程师
产品经理
学生
适用多种职业
运行环境
操作系统：
windows
mac
Linux
树莓派
数据量：
KB~GB
运行位置：
cmd
VSCode
PyCharm
Jupyter Notebook
运行技术盏：
python3.6+
pip
大耳贼离秋
Pandas新手强推！ 文章通俗易懂，特别适合基础薄弱者打牢DataFrame操作等核心基础。虽有同学觉浅，但系统掌握常用API正是进阶关键。瑕不掩瑜，期待更深入课程！
Jaxon
学完强烈推荐！ 尤其适合Pandas入门小白：文章逻辑清晰，答疑高度负责。系统学完，基础打得很牢。给老师点赞！ 热切期待后续的Pandas实战进阶教程！
呆貅貅
作为Pandas初学者，请求老师分享避坑指南文章，这对我们萌新帮助巨大。感谢辛苦付出！更期待您的Pandas新教程！
annsede
Pandas小白救星！ 完整跟学，收获远超预期！ 老师拆解复杂操作为清晰步骤（如groupby, merge），配套练习数据超实用。真正从“会写”到“会用”。小白无压力，系统性强，强推！ 期待时间序列分析专题！
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![转换 - df["列"].apply() - 字段是dict转成多列](/_next/image?url=https%3A%2F%2Fbookchips.com%2Fchips%2F6850eb130b9569655f1202d1%2F%E8%BD%AC%E6%8D%A2-df%5B_%E5%88%97_%5D.apply()-%E5%AD%97%E6%AE%B5%E6%98%AFdict%E8%BD%AC%E6%88%90%E5%A4%9A%E5%88%97.png&w=128&q=75){kind=small}
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![DataFrame信息 - df.shape[0] - [0]行数、[1]列数](/_next/image?url=https%3A%2F%2Fbookchips.com%2Fchips%2F6850eb130b9569655f1202ef%2FDataFrame%E4%BF%A1%E6%81%AF-df.shape%5B0%5D-%5B0%5D%E8%A1%8C%E6%95%B0%E3%80%81%5B1%5D%E5%88%97%E6%95%B0.png&w=128&q=75){kind=small}
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![列级 - df[""] = df[""].xx - 数据截取、数据转换日期](/_next/image?url=https%3A%2F%2Fbookchips.com%2Fchips%2F6850eb130b9569655f1202ce%2F%E5%88%97%E7%BA%A7-df%5B__%5D%3Ddf%5B__%5D.xx-%E6%95%B0%E6%8D%AE%E6%88%AA%E5%8F%96%E3%80%81%E6%95%B0%E6%8D%AE%E8%BD%AC%E6%8D%A2%E6%97%A5%E6%9C%9F.png&w=128&q=75){kind=small}
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![列级 - df.columns=["a","b"] - 重命名列名](/_next/image?url=https%3A%2F%2Fbookchips.com%2Fchips%2F6850eb130b9569655f1202b7%2F%E5%88%97%E7%BA%A7-df.columns%3D%5B_a_%2C_b_%5D-%E9%87%8D%E5%91%BD%E5%90%8D%E5%88%97%E5%90%8D.png&w=128&q=75){kind=small}
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