今天看到一篇关于PostScript的文章<编程珠玑番外篇-P PostScript 语言里的珠玑>,尤其是篇尾的这段话,让我对3D Print浮想联翩: 因为 PostScript 语言灵活复杂,解释 PostScript 语言需要强大的微处理器.为此,Apple LaserWriter 携带了一颗 12 MHz Motorola 68000 处理器.而同时期的,与之相连的 Machintosh 携带的是一颗 8MHz 的 Motorola 68000.打印机处理器比主机的强大,用现在的眼光…

Blender 3D Print Toolbox Statistics 统计,可以提算出模型的体积,可供打印备料参考. Error Checking 错误检查 Solid 检查模型是否完整正确,是否有法线问题等. Intersections 是否有交叉面. Degenerate 是否有0边界或0区域 Distorted Faces 是否有扭曲的表面,大于3边的多边形都有可能不平整. Thickness 厚度检查 Sharpness 锐度检查 Overhang 悬空面检查  Cleanup 清理,…

全文转载自 Scott Hanselman的博文. I bought a 3D printer on Friday, specifically a Printrbot Simple Metal from Amazon for US$599. I did a few days of research, looking at all the consumer models under $1000. Some were enclosed, others not. Some made of wood,…

邮件相关 发送邮件: #!/usr/bin/python import sys; import smtplib; from email.MIMEText import MIMEText mail_host = sys.argv[] mail_user = sys.argv[] mail_pass = sys.argv[] mail_from = sys.argv[] mail_to = sys.argv[] mail_to_list = mail_to.split(';') mail_subje…

  英文稿: The “Hype Cycle for Emerging Technologies” report is the longest-running annual Hype Cycle, providing a cross-industry perspective on the technologies and trends that IT managers should consider in developing emerging-technology portfolios (se…

系列文章地址 NumPy 最详细教程(1):NumPy 数组 NumPy 超详细教程(2):数据类型 NumPy 超详细教程(3):ndarray 的内部机理及高级迭代 文章目录 NumPy 数据类型1.NumPy 中的数据类型补充:复数的概念2.datetime64 的使用Ⅰ.简单示例Ⅱ.单位使用Ⅲ.配合 arange 函数使用Ⅳ.Datetime64 和 Timedelta64 运算Ⅴ.Timedelta64 单独的运算Ⅵ.numpy.datetime64 与 datetime.dateti…

re.compile(pattern, flags=0) re.search(pattern, string, flags=0) re.match(pattern, string, flags=0) re.fullmatch(pattern, string, flags=0) re.split(pattern, string, maxsplit=0, flags=0) re.findall(pattern, string, flags=0) re.finditer(pattern, string…

urllib库是python中最基本的网络请求库,可以模拟浏览器的行为,向指定的服务器发送请求,并可以保存服务器返回的数据. urlopen() urllib.request模块提供了最基本的构造http请求的方法.利用它可以模拟浏览器的一个请求发起过程,同时它还带有处理授权验证(authentication).重定向(redirection).浏览器Cookies以及其他内容. 这里以Python官网为例,我们来把这个网页抓下来 from urllib import request respo…

定义函数: def greet_users(names): #names是形参 """Print a simple greeting to each user in the list.""" for name in names: msg = "Hello, " + name.title() + "!" print(msg) usernames = ['hannah', 'ty', 'margot'] gre…

1.时间戳Timestamp() 参数可以为各种形式的时间,Timestamp()会将其转换为时间. time1 = pd.Timestamp('2019/7/13') time2 = pd.Timestamp('13/7/2019 13:05') time3 - pd.Timestamp('2019-7-13') time4 = pd.Timestamp('2019 7 13 13:05') time5 = pd.Timestamp('2019 July 13 13') time6 = pd.…