> for i in custdata: > mystr2 = ''.join([mystr2, '<tr><td>' , str(i[0]) , '</td>']) ... > lst = [ jn(['<tr><td>' , str(i[0]) , '</td>', > '<td>' , str(i[1]) , '</td>', > '<td>' , str(i[2]) , '</td>', > ...... more omitted......]) for i in res] > > mystr=jn(lst) > ---------------------------------------------- > The performance boost is amazing...... > It took ONLY 0.078 seconds > ---------------------------------------------- This makes sense because a crude analysis shows that the first approach is O(n^3) while the second one is O(n). (I think)
- [web2py] Speed of rendering html data (10,000+ ... Vineet
- [web2py] Re: Speed of rendering html data ... cjrh
- [web2py] Re: Speed of rendering html d... Massimo Di Pierro
- [web2py] Re: Speed of rendering html data ... cjrh
- [web2py] Re: Speed of rendering html data ... VP
- [web2py] Re: Speed of rendering html d... Vineet
- [web2py] Re: Speed of rendering ht... pbreit
- Re: [web2py] Re: Speed of rend... Sebastian E. Ovide
- [web2py] Re: Speed of ren... Vineet
- [web2py] Re: Speed of... pbreit
- [web2py] Re: Speed of... Chris May
- [web2py] Re: Speed of... Anthony
- Re: [web2py] Re: Spee... Jason Brower
- Re: [web2py] Re: ... contatogilson...@gmail.com
- [web2py] Re: Spee... Vineet