Eric EricSeokgon

How to migrate Django from SQLite to PostgreSQL

Dump existing data:

python3 manage.py dumpdata > datadump.json

Change settings.py to Postgres backend.

Make sure you can connect on PostgreSQL. Then:

Static HTML Page Generators

Hexo: https://hexo.io/
HubPress: https://github.com/HubPress/hubpress.io (Demo - https://www.youtube.com/watch?v=7gP3i4tHlRM)
Hugo: https://gohugo.io/
Jekyll: https://jekyllrb.com/
Lektor: https://www.getlektor.com/
Octopress: http://octopress.org/

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

TDD(Test Driven Development): 테스트주도 개발을 이야기하다

TDD란 무엇인가?

TDD와 단위테스트는 같은 것이 아니다.

TDD 작성 패턴

프로그램을 작성하기 전에 테스트 먼저하라.
잘 동작하는 깔끔한 코드
질문 -> 응답 -> 정제 -> 반복

스프링부트 소개

발표영상

0. 스프링부트SpringBoot란?

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.

스프링부트는 단독실행되는, 실행하기만 하면 되는 상용화 가능한 수준의, 스프링 기반 애플리케이션을 쉽게 만들어낼 수 있다.
최소한의 설정으로 스프링 플랫폼과 서드파티 라이브러리들을 사용할 수 있도록 하고 있다.

별도의 DB설치 없이 사용할 수 있어서, 테스트, 교육용, 패키지용 소프트웨어에서 사용핧만하다.

1. 의존성 추가

pom.xml에 추가한다.

<dependency>
    <groupId>com.h2database</groupId>
    <artifactId>h2</artifactId>
    <version>1.4.181</version>

	import org.bouncycastle.util.encoders.Hex;
	import org.web3j.crypto.*;
	import java.math.BigInteger;

	public class ECCExample {

	public static String compressPubKey(BigInteger pubKey) {
	String pubKeyYPrefix = pubKey.testBit(0) ? "03" : "02";
	String pubKeyHex = pubKey.toString(16);
	String pubKeyX = pubKeyHex.substring(0, 64);

	import org.hibernate.cfg.Configuration;
	import org.hibernate.cfg.ImprovedNamingStrategy;
	import org.hibernate.dialect.Dialect;
	import org.hibernate.dialect.H2Dialect;
	import org.hibernate.tool.hbm2ddl.SchemaExport;
	import org.springframework.core.io.Resource;
	import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
	import org.springframework.core.type.classreading.MetadataReader;
	import org.springframework.core.type.classreading.SimpleMetadataReaderFactory;
	import org.springframework.util.FileCopyUtils;

	import org.hibernate.cfg.Configuration;
	import org.hibernate.cfg.ImprovedNamingStrategy;
	import org.hibernate.dialect.Dialect;
	import org.hibernate.dialect.H2Dialect;
	import org.hibernate.tool.hbm2ddl.SchemaExport;
	import org.springframework.core.io.Resource;
	import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
	import org.springframework.core.type.classreading.MetadataReader;
	import org.springframework.core.type.classreading.SimpleMetadataReaderFactory;
	import org.springframework.util.FileCopyUtils;

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)