search engine indexing: Google’s webmaster tool doesn't get more than 8 keywords, 2 months have passed since the last keyword appeared

The Google webmaster tool is not getting more than 8 keywords, it has been more than two months since the last keyword was generated, I want to know the reason, I have installed the Google webmaster tool on another niche website and for which the Google master tool got 47 keywords in search queries within two or three weeks. Can someone tell me what the possible reason might be? I just checked the difference between both sites and the website that is not getting keywords in the Google webmaster tool, there I installed a really simple add-on (SSL) to secure my website, it is a free complement to secure the website , now I deactivated it, could it be the reason?

Is it okay for SEO to create several pages in which each one uses the main keyword but focuses on different phrases?

If you want to rank effectively for each of these pages, you must ensure that the context and content of those URLs are unique. users and search engines understand the differences.

If the content is very similar, Google will consider it as duplicate:

(…) different pages with similar content (…) Google sees them as duplicate versions of the same page. Google will choose a URL as the canonical version and crawl it, and all other URLs will be considered duplicate URLs and will be crawled less frequently.

In this scenario, Google will probably choose a URL as the most representative (canonical) and mark the rest as duplicate. That means only qualify for the canonical URL So all the work and effort invested in the rest of the pages will be lost.

If you don't explicitly tell Google which URL is canonical, Google will make the decision for you, or you might consider that both have the same weight, which could lead to unwanted behavior.

So, if you continue with that structure, make sure that each URL is relevant and offers unique content.

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stack: read a sentence from a keyword and stack the words and numbers in different stacks in c

Well, I would like to know how I read a sentence with words and numbers and stop at a specific word (eg, Until "end") and stack the words and numbers in different piles and print them separately at the end. I read several examples and tried to use the library, but I feel I did not understand the implementation well, could you help me in my code?

#include 
#include 
#define max 101
#define TRUE 1
#define FALSE 0
#define boolean int

struct stack{
       int topo, item(max);
};

void inic_pilha (struct stack *p)
{
     p->topo = -1;
}
boolean pilha_cheia (struct stack *p)
{
    if (p->topo == (max-1))
    {
          printf ("nnttA Pilha esta Cheia!!!");
          return 1;
    }else
        return 0;
}

boolean pilha_vazia (struct stack *p)
{
    if (p->topo == -1)
    {
         printf ("nnttA Pilha esta Vazia!!!");
         return 1;
    }
    else
     return 0;
}

int pilha_vazia2 (struct stack *p){
    if (p->topo == -1)
       return 1;
    else
       return 0;
}


int push (struct stack *p, int valor){
     return (p->item(++(p->topo)) = valor);
}


int pop (struct stack *p)
{
    int aux;
    aux = p->item((p->topo)--);
    return aux;
}


int mostra (struct stack *p)
{
    int aux;
    if (pilha_vazia2 (p))
       return 1;
    else
    {
        aux = pop (p);
        printf ("%d,", aux);
        mostra (p);
        return 0;
    }
}


int reempilha (struct stack *p, struct stack *p_pal, struct stack *p_num)
{
    int aux;
    if (pilha_vazia (p))
       return 1;
    else
    {   //seleciona os numeros
        if !(isdigit(p->item(p->topo)))
        {
            while !(isdigit(p->item(p->topo)))
               aux = pop (p);
               push (p_num, aux);
        }
        else //seleciona as palavras
        {
               aux = pop (p);
               push (p_pal, aux);
        }
        reempilha (p, p_pal, p_num);
        return 0;
    }

}


int empilha (struct stack *p){

    int valor;
    printf (" ");
    scanf ("%d", &valor);
    if (pilha_cheia (p))
       return 1;
    else
    {
        if (valor == '')
                  return 0;
        else
        {
            push (p, valor);
empilha (p);
            return 0;
        }
    }
}


int main (){
    struct stack pilha, pilha_pal, pilha_num;
    inic_pilha (&pilha);
    inic_pilha (&pilha_num);
    inic_pilha (&pilha_pal);
    empilha (&pilha);
    reempilha (&pilha, &pilha_pal, &pilha_num);
    printf ("nPilha palavras:");
    mostra (&pilha_pal);
    printf ("nnPilha numeros: ");
    mostra (&pilha_num);
    printf("nnn");
    return 0;
}

Keyword Golden Ratio KGR Keyword Keyword method super profitable

Does anyone have any experience on the Golden Ratio or KGR Keyword keyword method? It is developed by Doug Cunnington. It is a method to find ranking keywords super profitable and easy. These keywords could be ranked even without any backlinks in a month. KGR keywords could generate more sales than general ones. But it's hard to find …

Keyword Golden Ratio KGR Keyword Keyword method super profitable

seo: the page is ranked for a keyword that doesn't even appear in the content

I am currently experiencing strange ranking fluctuations with google for some of my pages.

The scenario is as follows:

  • There are landing pages like www.example.com/topic/destination
  • There are product pages like www.example.com/topic/destination/0000-product-slug

The main keyword for landing pages where they should be ranked is topic destination In any case. However, for some of them the position Y The page indexed in Google fluctuates daily. The average position for the landing page is between 8 and 10, while the position for the classification of the product page for topic destination It's something between 30 and 50. They never rank at the same time, so when the product page is ranked, the Top10 ranking disappears.

I already read that this can be caused by cannibalization between the home page and the product page. However, keywords do not even appear (in addition to breadcrumbs) on product pages and all content is unique.

The question is: is there an important ranking factor in addition to the content for a page to rank for a specific keyword? Do the (landing) pages that are optimized for a specific keyword inherit your ranking for internally linked product pages and should you remove those links or set them to nofollow?


Additional information: There are no major technical problems for the affected pages according to the analysis of the search capability page. The WDF * IDF analysis for the keyword is also fine (no score for the product page and good score for the start page).

Example of a fluctuating classification (Top10 is always the home page, always below the product page):

Example for a fluctuating classification

python: clean decorator approach that takes optional keyword arguments

I write decorators a lot in my work. Sometimes you need to write "decorator that takes arguments", it usually turns out to be something like this:

def decorator(**kwargs):

    def _decorator(func):

        @wraps(func)
        def decorated(*func_args, **func_kwargs):
            # do something with kwargs here
            return func(*func_args, **func_kwargs)

        return decorated

    return _decorator

but in this case you will always have to use your decorator in this way:

@decorator()  # if you forget () here you'll get an exception
def myfunc():
    pass

So I came up with this fragment, in my opinion, it is better to read / write and understand:

from functools import wraps, partial
from contextlib import contextmanager

def decorator(func=None, **kwargs):
    if func:

        @wraps(func)
        def decorated(*func_args, **func_kwargs):

            if kwargs.get("sayhi"):
                print("hi")

            return func(*func_args, **func_kwargs)

        return decorated

    else:
        return partial(decorator, **kwargs)

@decorator
def hello(name):
    print(f"hello {name}")


@decorator(sayhi=True)
def bye(name):
    print(f"bye {name}")

hello("rabbit")
# "hello rabbit"

bye("rabbit")
# hi
# bye rabbit

How can I find the keyword search volume?

How can I find the keyword search volume? Is there a free tool to verify the keyword search volume?

Snapchat application development cost

Sharepoint online: expanding the search to all elements on this site refers to the previous keyword in Communication Site

On the communication site below the document library when we search for any keyword we get Extend the search to all items on this site at the bottom of the page like this.

enter the description of the image here

When we click on this, it redirects to the global search results page with the following URL

/_layouts/15/search.aspx/siteall?q=22072019

Now, if we search for any other keyword in the document library and click on the link, the search results of the previous keyword are still displayed.

From the analysis, I discovered that when we search for the new keyword, the value of the query string for the lower link is not updated. Once, I refresh the page, redirect to the search results page with a new searched keyword.

Is this a known issue for the communication site?

Is there any other way to allow the user to search the entire site from the document library?

Windows application – Keyword Researcher Pro 13.115 | NulledTeam UnderGround

File size: 21 MB

Keyword Researcher is an easy-to-use Google autocomplete scraper. Once activated, emulate a human user and repeatedly write thousands of queries on Google. Each time a partial phrase is entered, Google tries to predict what it thinks the complete phrase could be. We simply keep this prediction. And, as a result, when you do this for each letter of the alphabet (A-Z), you have hundreds of excellent long tail keyword phrases.

The official site does not provide any information about the changes in this version.