I've also created some problems myself to reach the 100 limit. The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercises for those who teach. For
100 numpy exercises (100% complete). Contribute to mouxue23/numpy-100 development by creating an account on GitHub.
rougier/numpy-100: 100 numpy exercises (with solutions) (github.com) 前置知识 如果你已经掌握了基础的Python,那么学习 numpy-100 这个项目应该没有太大问题。根据你提供的目录结构和项目描述,你可能需要以下一些先验知识和软件: Jupyter Notebook:项目中包含.ipynb文件,这是Jupyter Notebook的文件格式。Jupyter No...
If you find an error or think you've a better way to solve some of them, feel free to open an issue atGitHub - rougier/numpy-100: 100 numpy exercises (100% complete) 1. Import the numpy package under the name np (★☆☆) import numpy as np 2. Print the numpy version and the ...
100 numpy exercises 新版Notebook- BML CodeLab上线,fork后可修改项目版本进行体验 100 numpy exercises This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference ...
先放链接https://github.com/rougier/numpy-100/blob/master/100_Numpy_exercises.md 1. Import the numpy package under the namenp(★☆☆)# Copy importnumpyasnp 可以下载Anaconda,里面带有很多python库。 以下默认已经引入numpy库 2. Print the numpy version and the configuration (★☆☆)# ...
Repository is at:https://github.com/rougier/numpy-100 Thanks to Michiaki Ariga, there is now aJulia version. Import the numpy package under the namenp(★☆☆☆) 1 importnumpy as np Print the numpy version and the configuration (★☆☆☆) print...
来源: https://github.com/rougier/numpy-100 全文: https://github.com/yingzk/100_numpy_exercises Numpy是Python做数据分析必须掌握的基础库之一,非常适合刚学习完Numpy基础的同学,完成以下习题可以帮助你更好的掌握这个基础库。 Python版本:Python 3.6.2 Numpy版本:Numpy 1.13.1 1. 导入numpy库并取别名为np ...
HelloGitHub 评分 10.0 2 人评分 过去7 天共收获 17 颗 Star ✨ 访问 点赞24 开源•MIT 认领 讨论 收藏 分享 12.4k 星数 否 中文 Python 主语言 是 活跃 51 贡献者 60 Issues 否 组织 1.1 最新版本 6k Forks MIT 协议 更多介绍代码 该项目包含了 100 个关于 Python 常用的数据处理库 Numpy 的练习...
1. Import the numpy package under the name np 2. Print the numpy version and the configuration 3. Create a null vector of size 10 4. How to find the memory size of any array 5. How to get the documentation of the numpy add function from the command line?