问题和原因

jupyter notebook通过nbconvert调用Latex导出PDF，由于nvconvert中转换模版中并不包含中文支持的package申明，导致Latex渲染时无法识别中文字符和对应的字体。出现类似：

LaTeX Error: Unicode character 正 (U+6B63) not set up for use with LaTeX.

的报错。导出的PDF文件中，所有中文字符都显示为空白。

解决方案

有两种方法可以解决：

1. 先从Notebook导出为Latex，再使用如TexShop等工具打开Latex文件并添加中文支持，之后导出
2. 修改nbconvert的模版，直接添加中文支持，这样即可直接导出PDF

这里说第二种办法：

首先通过jupyter --paths获得Jupyter相关路径，

% jupyter --paths

输出类似：

config:
    /Users/xxx/.jupyter
    /Users/xxx/custom_path/venv/etc/jupyter
    /usr/local/etc/jupyter
    /etc/jupyter
data:
    /Users/xxx/Library/Jupyter
    /Users/xxx/custom_path/venv/share/jupyter
    /usr/local/share/jupyter
    /usr/share/jupyter
runtime:
    /Users/xxx/Library/Jupyter/runtime

找到...share/jupyter文件夹所在位置，并定位到...share/jupyter/nbconvert/templates/latex文件夹，里面有nbconvert转换LaTex模版，

通过修改base.tex.j2模版文件，添加xeCJK包申明和相关字体即可影响所有相关模版：

    \usepackage{xeCJK}
    \setCJKmainfont{STSong}

添加完成后，模版文件应类似：

((*- block header -*))
    ((* block docclass *))\documentclass[11pt]{article}((* endblock docclass *))

    ((* block packages *))
    \usepackage{xeCJK}
    \setCJKmainfont{STSong}
    \usepackage{iftex}
    ...

注意，字体部分可以通过Mac的字体书（Font Book）找到合适的中文字体名称，不一定非得使用宋体（STSong）。另外除了主要字体，也可以定义其他情况的字体，若加粗和倾斜时应用的字体。

相关文章

github:jupyter/nbconvert
Mac环境下jupyter notebook导出PDF显示中文的解决方案 (nbconvert 6, python 3.9)
convert notebook (contains Chinese words) to PDF successfully but those Chinese words are missing

通过在.Net Core应用中运行Python脚本，可以非常方便的进行某些功能的处理。特别是考虑到Python是解释型语言，不需要像.Net 那样编译再部署。

通过使用NuGet中的IronPython和IronPython.StdLib:

public class PythonScript
{
    private ScriptEngine _engine;

    public PythonScript()
    {
        _engine = Python.CreateEngine();
    }

    public TResult RunFromString<TResult>(string code, string variableName)
    {
        // for easier debugging write it out to a file and call: _engine.CreateScriptSourceFromFile(filePath);
        ScriptSource source = _engine.CreateScriptSourceFromString(code, SourceCodeKind.Statements);
        CompiledCode cc = source.Compile();

        ScriptScope scope = _engine.CreateScope();
        cc.Execute(scope);

        return scope.GetVariable<TResult>(variableName);
    }
}

然后使用运行脚本：

var py = new PythonScript();
var result = py.RunFromString<int>("d = 8", "d");
Console.WriteLine(result);

原生的Process和ProcessStartInfo （个人实践出来的）

注意，需要通过执行含有Python可执行文件和参数的shell脚本来实现执行Python脚本， 有点绕，具体就是：

1, 创建一个run.bat给Windows系统：

C:\YOUR_PYTHON_PATH\python.exe %*

2, 创建一个run.sh文件给LInux系统：

#!/bin/bash
/usr/bin/python3 "$@"

3, 使用Process and ProcessStartInfo 来运行脚本:

string fileName = null;
if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows))
{
    fileName = "path_to_bat/run.bat"
}
else
{
    fileName = "path_to_bat/run.sh"
}

ProcessStartInfo start = new ProcessStartInfo
{
    FileName = fileName,
    Arguments = string.Format("\"{0}\" \"{1}\"", script, args),
    UseShellExecute = false,
    CreateNoWindow = true,
    RedirectStandardOutput = true,
    RedirectStandardError = true
};
using Process process = Process.Start(start);

变量script指代需要执行的Python脚本所在位置，变量args指代脚本需要的参数，若有多个参数，酌情修改程序片段。

参考

1. How to use Python in .NET-Core application?
2. How to run python script from C# code by using command

Regex 正则表达式

A regular expression (shortened as regex or regexp; also referred to as rational expression) is a sequence of characters that specifies a search pattern in text. Usually such patterns are used by string-searching algorithms for "find" or "find and replace" operations on strings, or for input validation. It is a technique developed in theoretical computer science and formal language theory.

正则表达式（英语：Regular Expression，常简写为regex、regexp或RE），又称正则表示式、正则表示法、规则表达式、常规表示法，是计算机科学的一个概念。正则表达式使用单个字符串来描述、匹配一系列匹配某个句法规则的字符串。在很多文本编辑器里，正则表达式通常被用来检索、替换那些匹配某个模式的文本。

Regular Expression的Regular一般被译为正则、正规或常规。此处的Regular即是规则、规律的意思，Regular Expression即“描述某种规则的表达式”之意。

正则表达式用来做什么：

1. 判断一个句子中是否有Lizzy, Hello everyone, my name is Li Zhiyan, you can call me Lizy.
2. 判断一个字符串中是否有数字, Twenty two is 22
3. 判断一个字符串中有英文字母, 23n20230n;23+&*^&*
4. 判断一个字符串中是否有John或者Jone, Look! John's AirPods is becoming AirPod.
5. 判断一个字符串是否是手机号码, 15195812506
6. 判断一个字符串是否一Leon开头, Leon is from China.
7. 判断一个字符串是否是邮件地址, [email protected]
8. 使用非字符串分割字符串，A, B, c, D, E;F|g

正则表达式表达了什么

1. 断言（Assertions）
   表示一个匹配在某些条件下发生。断言包含先行断言、后行断言和条件表达式。
2. 字符类（Character Classes）
   区分不同类型的字符，例如区分字母和数字。
3. 组和范围（Groups and Ranges）
   表示表达式字符的分组和范围。
4. 量词（Quantifiers）
   表示匹配的字符或表达式的数量。
5. Unicode 属性转义（Unicode Property Escapes）
   基于 unicode 字符属性区分字符。例如大写和小写字母、数学符号和标点。

在Python中，可以使用re模块和Pattern来做正则：

import re
p = re.compile(pattern, flags=0)
re.search(pattern, string, flags=re.IGNORECASE)
re.match(pattern, string, flags=0)
re.split(pattern, string, maxsplit=0, flags=0)
re.findall(pattern, string, flags=0)

Pattern.search(string[, pos[, endpos]])
Pattern.match(string[, pos[, endpos]])
Pattern.split(string, maxsplit=0)
Pattern.findall(string[, pos[, endpos]])

在JavaScript中，可以使用var re = /pattern/flags;

import re

p1 = re.compile('Lizzy')
s = 'Hello everyone, my name is Li Zhiyan, you can call me Lizzy.'
p1.search(s)

# [\d] = [^\D]
p2 = re.compile('[0-9]') # \d = [0123456789]n 
p2.search('Twenty two is 22')

p3 = re.compile('[a-zA-Z]') # \w (word) = [a-zA-Z0-9_]
p3.search('23n20230n;23+&*^&*')

<re.Match object; span=(2, 3), match='n'>

特殊符号

1. \d: 匹配一个数字。等价于[0-9]。
2. \D: 匹配一个非数字字符。等价于¹。
3. \w: 匹配一个单字字符（字母、数字或者下划线）。等价于 [A-Za-z0-9_]。
4. \W: 匹配一个非单字字符。等价于 ²。
5. \t: 匹配一个水平制表符 (U+0009)。
6. \v: 匹配一个垂直制表符 (U+000B)。
7. \f: 匹配一个换页符 (U+000C)。
8. \n: 匹配一个换行符 (U+000A)。
9. \r: 匹配一个回车符 (U+000D)。
10. \s: 匹配一个空白字符，包括空格、制表符、换页符和换行符。等价于[ \f\n\r\t\v\u00a0\u1680\u180e\u2000-\u200a\u2028\u2029\u202f\u205f\u3000\ufeff]。
11. \S: 匹配一个非空白字符。等价于 ³。
12. .： 匹配除了换行符\n以外的任意一个字符
13. \u{hhhh} or \u{hhhhh}: 仅当设置了u标志时）匹配一个十六进制数表示的 Unicode 字符。

# 使用｜作为选择
p4 = re.compile('John|Jone')
p4.search('Look! John\'s AirPods is becoming AirPod.')

# 匹配次数 {m,n}
p5 = re.compile('^1[0-9]{10}') # '1\d{10}'
# p5.search('15195812506')
p5.match('15195812506')

<re.Match object; span=(0, 11), match='15195812506'>

匹配次数

1. {m,n} m次到n次（包含）
2. {m,} 至少m次
3. {m} m次
4. ? 0到1次
5. + 至少1次
6. * 任意次（0到∞）

指定匹配位置

1. ^: 匹配字符串的开头
2. $: 匹配字符串的末尾
3. \b: 匹配单词（word）的边界
4. \B: 匹配非单词边界

p6 = re.compile('^Leon')
s6 = 'Leon is from China.'
p6.search(s6)

# [email protected], \[email protected]  @b.com [\w-] a@b._
p7 = re.compile('[\w\.\-\+]+@[\w-]+[\w\-\.]+([a-zA-Z0-9]+)$')
p7.match('[email protected]')

p8 = re.compile('[,;\|]')
p8.split('A, B, c, D, E;F|g')

['A', ' B', ' c', ' D', ' E', 'F', 'g']

总结

转义

如果你需要使用任何特殊字符的字面值（例如，搜索字符''），你必须通过在它前面放一个反斜杠来转义它。 例如，要搜索'a'后跟''后跟'b'，你应该使用/a*b/- 反斜杠“转义”字符'*'，使其成为文字而非特殊符号。

高级话题

使用插入语

任何正则表达式的插入语都会使这部分匹配的副字符串被记忆。一旦被记忆，这个副字符串就可以被调用于其它用途，如同使用括号的子字符串匹配之中所述。

通过标志进行高级搜索

一般而言，各种语言中实现的正则表达式有可选参数 (flags) 允许全局和不分大小写搜索等。这些参数既可以单独使用也能以任意顺序一起使用, 并且被包含在正则表达式实例（模式）中。

Python中可以使用re.IGNORECASE不分大小写搜索:

import re
p = re.compile(pattern, flags=0)
re.search(pattern, string, flags=re.IGNORECASE)

JavaScript则是：

let re = /^\w+\.\S+/gi;

用特殊字符检验输入

Reference / 参考

1. Wiki:正则表达式
2. JavaScript:正则表达式
3. Python:Regular expression operations
4. Java:Pattern
5. .NET:Regular Expression Language - Quick Reference

Salesforce Advice

Reduce class level variables data storage

Don't use class level variables to store a large amounts of data.

User SOQL for Loops

Utilize SOQL For Loops to iterate and process data from large queries.

for(Conatct ctt : [Select Id,Name,Account.Name FROM Contact]) {
    // do your work
}

Shorten variables lifetime

Construct methods and loops that allow variables to go out of scope as soon as they are no longer needed.

Other Advice

Using Efficient Algorithms

Being the heart of any code, algorithms can make or break the running of your application. A good space-efficient algorithm can save a lot of your heap memory while simultaneously performing smoothly. Before developing any logic or writing any code snippet, sit, and think through the algorithms to use and choose the one that serves your purpose and makes use of the heap memory efficiently. Try not to split the parts of your algorithms into different functions; rather try to keep them in line when used only within that code.

Built-in Apex libraries

Try to leverage and make use of the inbuilt Apex libraries that Salesforce provides other than writing your custom logic for everything. For example, use the Math class for performing mathematical operations, use JSONGenerator class to create JSON structures, and many more. One line of method calling code is way better than rewriting the logic on your own. This not only saves you time but also the heap memory is managed efficiently.

Avoid using temporary variables

Creating temporary variables is a favorite practice of many developers. We unknowingly create such variables in our code without realizing that we can do without them. These variables take up unnecessary space and add up to the heap memory.

Shorten variable names & declarations

You can spare characters when naming temporary variables like loop counter variables as i instead of myCounter. You should keep meaningful names according to the business.
You can also combine variable declarations like:

Integer i = 0, j = 10;

Shorten Field API Name

We all love to give meaningful names to the custom fields in Salesforce objects. Little do we know that a long API name impacts the code heap size. For example, it is counted in SOQL query size, code that references the field, and each time it is accessed. Maximum length of SOQL statements is 100K.

Remove unnecessary debug statements

Since all the debug statements are counted against the code length, it is necessary to keep a cap on them in order to limit the consumed heap size of the Apex code. It is fine to use them while doing the apex development but should be removed or minimized in the final production version of the code.

Reference

• SOQL For Loops
• Error 'Apex heap size too large'
• Heap Size: Elephant in the room