You must have coins in your bag to improve your Crypto Trading – Advertising, Offers

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What can you do to improve your conversion rates?

What can you do to improve your conversion rates?

How to improve the performance of the MySQL innodb read-only database

I have a particular task which is to maximize concurrent performance. There is only one particular type of query, which is

select * from table where col1 between ? and ? and col2 between ? and ?

I have created a composite index for (col1, col2). The table is about 20G in size and 100 million rows.

However, even on peak concurrent requests, CPU utilization for MySQL is only 30%. I have tried various techniques like increasing max_connections, innodb_buffer_pool_instances But none of them is working.

How to maximize the settings so you can do an end-to-end read-only query?

python: improve loop through xml files and add ads to DF

With this code, I loop through similar xml files and add them to a DataFrame.

How can I improve this code to make it more pythonic?

Dados = pd.DataFrame(())

folder = os.listdir(path)

for file in folder:
    if file.endswith('.xml'):
        with open(os.path.join(path, file), encoding="utf8") as fd:
           doc = xmltodict.parse(fd.read())
           if 'InformeMensal' in doc('DadosEconomicoFinanceiros').keys():
               DadosEconomicoFinanceiros = doc('DadosEconomicoFinanceiros')

               NomeFundo = doc('DadosEconomicoFinanceiros')('DadosGerais')('NomeFundo')
               CNPJFundo = doc('DadosEconomicoFinanceiros')('DadosGerais')('CNPJFundo')
               NomeAdministrador = doc('DadosEconomicoFinanceiros')('DadosGerais')('NomeAdministrador')
               PublicoAlvo = doc('DadosEconomicoFinanceiros')('DadosGerais')('PublicoAlvo')
               InformeMensal = doc('DadosEconomicoFinanceiros')('InformeMensal')
               InformeMensalCotistas = doc('DadosEconomicoFinanceiros')('InformeMensal')('Cotistas')
               if '@total' in doc('DadosEconomicoFinanceiros')('InformeMensal')('Cotistas').keys():
                   TotalCotistas = doc('DadosEconomicoFinanceiros')('InformeMensal')('Cotistas')('@total')
               pass
               if not '@total' in doc('DadosEconomicoFinanceiros')('InformeMensal')('Cotistas').keys():
                   TotalCotistas = "0"
               pass
               if 'FundosInvImobiliario' in doc('DadosEconomicoFinanceiros')('InformeMensal')('Cotistas').keys():
                   FIIsCotistas = doc('DadosEconomicoFinanceiros')('InformeMensal')('Cotistas')('FundosInvImobiliario')
               pass
               if not 'FundosInvImobiliario' in doc('DadosEconomicoFinanceiros')('InformeMensal')('Cotistas').keys():
                   FIIsCotistas = "0"
               pass
               InformeMensalResumo = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')
               Ativo = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')('Ativo')
               PatrimonioLiquido = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')('PatrimonioLiquido')
               NumCotasEmitidas = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')('NumCotasEmitidas')
               ValorPatrCotas = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')('ValorPatrCotas')
               DespesasTxAdministracao = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')('DespesasTxAdministracao')
               DespesasAgCustodiante = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')('DespesasAgCustodiante')
               RentEfetivaMensal = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')('RentEfetivaMensal')
               AmortizAcoesCotas = doc('DadosEconomicoFinanceiros')('InformeMensal')('Resumo')('AmortizAcoesCotas')

               InformeMensalInformacoesAtivo = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesAtivo')

               TotalNecessidadesLiq= doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesAtivo')('TotalNecessidadesLiq')
               TotalInvestido= doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesAtivo')('TotalInvestido')
               ValoresReceber= doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesAtivo')('ValoresReceber')
               InformeMensalInformacoesPassivo = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')
               RendimentosDistribuir = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('RendimentosDistribuir')
               TxAdministracaoPagar = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('TxAdministracaoPagar')
               TxPerformancePagar = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('TxPerformancePagar')
               ObrigacoesAquisicaoImov = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('ObrigacoesAquisicaoImov')
               AdiantamentoVendaImov = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('AdiantamentoVendaImov')
               AdiantamentoAlugueis = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('AdiantamentoAlugueis')
               ObrigacoesSecRecebiveis = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('ObrigacoesSecRecebiveis')
               InstrumentosFinanceirosDeriv = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('InstrumentosFinanceirosDeriv')
               ProvisoesContigencias = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('ProvisoesContigencias')
               OutrosValoresPagar = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('OutrosValoresPagar')
               TotalPassivo = doc('DadosEconomicoFinanceiros')('InformeMensal')('InformacoesPassivo')('TotalPassivo')

               Data = doc('DadosEconomicoFinanceiros')('InformeMensal')('Cotistas') ('@data_informacao')

Dados = Dados.append(pd.DataFrame({'Data':Data,'Nome': NomeFundo, 'CNPJ': CNPJFundo,'NomeAdministrador':NomeAdministrador,'PublicoAlvo':PublicoAlvo,'CotistasTotal':TotalCotistas,'FIIsCotistas':FIIsCotistas,'Ativo':Ativo,'PatrimonioLiquido':PatrimonioLiquido,'NumCotasEmitidas':NumCotasEmitidas,'ValorPatrCotas':ValorPatrCotas,'DespesasTxAdministracao':DespesasTxAdministracao,'DespesasAgCustodiante':DespesasAgCustodiante,'RentEfetivaMensal':RentEfetivaMensal,'AmortizAcoesCotas':AmortizAcoesCotas,'TotalNecessidadesLiq':TotalNecessidadesLiq, 'TotalInvestido':TotalInvestido, 'ValoresReceber':ValoresReceber,'RendimentosDistribuir':RendimentosDistribuir, 'TxAdministracaoPagar':TxAdministracaoPagar, 'TxPerformancePagar':TxPerformancePagar, 'ObrigacoesAquisicaoImov':ObrigacoesAquisicaoImov,'AdiantamentoVendaImov':AdiantamentoVendaImov, 'AdiantamentoAlugueis':AdiantamentoAlugueis, 'ObrigacoesSecRecebiveis':ObrigacoesSecRecebiveis,'InstrumentosFinanceirosDeriv':InstrumentosFinanceirosDeriv, 'ProvisoesContigencias':ProvisoesContigencias, 'OutrosValoresPagar':OutrosValoresPagar, 'TotalPassivo':TotalPassivo}, index=(0)), ignore_index=True)

Name some SEO blogs that help you improve your content marketing strategies – SEO Help (General Chat)

TopGold Forum is fast becoming the leading online finance destination on the Internet.

We are a premiere authority forum destination for professional investors, currency traders, affiliates, and individuals who want to make a living online or just make more money.

If this is your first visit, be sure to check out the frequently asked questions by clicking the link above. You must register before you can post: click the registration link above to continue.

Is it a good idea to improve the performance of the meta query by adding tax query?

I am aware that it is preferred to use taxonomies over metadata when it comes to grouping posts. In simple words, this and this are saying "use meta for unique data and taxonomy for repeating data (the one that groups the posts)".

But I wonder if it is possible to improve the performance of the meta query by introducing a taxonomy that will represent different ranges of that meta.

Suppose I have a store with publication type products. Each product has a target price. I have millions of rows in the database metatable.
What happens if I add a price range taxonomy to be used in the front filters? The price range will be like "$ 1-100", "$ 100-1000", etc. User clicks "100-1000 $" + sort by price. In this way, I will consult the publications tagged with "100-1000 $" and only later will I order them by meta goal. Will the query performance increase?

And how could it be implemented in case the user can enter the price "from" and "to"? It is probably a good idea to use the above approach and just add meta taxonomy for the price range. This will look like this:
– The user selects "90-900 $"
– Get all the terms of the price range that match that range. That is to say. "1-100" and "100-1000"
– Consult the publications that are in the price range "1-100" and "100-1000" (terms) and set the value of the price metavalue as> 90 and <900
Will it also increase performance? This approach requires 2 queries: get terms (filtered by meta term), get posts.

I have no chance to verify that with a really huge database since all my projects are not that big. But am I still interested if any of my approaches will work for large sites?

How can I improve my Alexa ranking?

how to improve my alexa traffic rank

SEO image: Do more internal links improve the ranking?

1. Let's say I use the same image (with the same path in my web space) in multiple articles (instead of just one). Does this improve image classification?

Example

The file horses.png used in articles /animals, /pets, /horses.

2. If I want to use the same image in multiple articles, is it better to save the image file with different file names?

Example

The file animals-horses.png is used in the article /animals.
The file pets-horses.png is used in the article /pets.
The file horses.png is used in the article /horses.

Why i ask

I think there is a compromise: the first example would classify horses.png higher than in the second example. But in the second example, you get rankings on more keywords. I'm right?

How can I improve my micro skills in League of Legends?

How can I improve my micro skills in League of Legends?

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