Jalilabad

Multi tool use
Distrito de Jalilabad

|
População:
|
174 000
|
Área (km².):
|
1 441
|
Código telefónico
|
114
|
Capital:
|
Cəlilabad
|
Jalilabad (azerí: Cəlilabad) é um dos cinqüenta e nove rayones nos que subdivide politicamente a República do Azerbaijão. A cidade capital é a cidade de Cəlilabad.
Território e População |
Este rayon é possuidor uma superfície de 1.441 quilômetros quadrados, os quais são o lugar de uma população composta por unas 174.000 pessoas. Por onde, a densidade populacional se eleva a cifra dos 91 habitantes por cada quilômetro quadrado deste rayon.
Economia e Transporte |
A região está dominada pela agricultura. Seus produtos, mas importantes são os grãos, vinho e frutas, gado e fincas.[1]
Referências |
↑ «Cópia arquivada». Consultado em 11 de maio de 2010. Arquivado do original em 14 de novembro de 2008
Divisões administrativas do Azerbaijão |
Distritos (rayons) |
Absheron · Agdam · Agdash · Aghjabadi · Agstafa · Agsu · Astara · Babek · Balakan · Barda · Beylagan · Bilasuvar · Dashkasan · Fizuli · Gadabay · Goranboy · Goychay · Goygol · Hajigabul · Imishli · Ismailli · Jabrayil · Jalilabad · Julfa · Kalbajar · Kangarli · Khachmaz · Khizi · Khojali · Khojavend · Kurdamir · Lachin · Lankaran · Lerik · Masally · Neftchala · Oğuz · Ordubad · Qabala · Qakh · Qazakh · Gobustão · Quba · Qubadli · Qusar · Saatly · Sabirabad · Sadarak · Salyan · Samukh · Shabran · Shakhbuz · Shaki · Shamakhi · Shamkir · Sharur · Shusha · Siazan · Tartar · Tovuz · Ujar · Yardymli · Yevlakh · Zangilan · Zaqatala · Zardab
|
Cidades |
Baku · Ganja · Khankendi · Lankaran · Mingachevir · Naftalan · Naquichevão · Shaki · Shirvan · Sumqayit · Shusha · Yevlakh
|
Nomes em itálico indicam as partes da República Autônoma de Naquichevão
|
fcWa58,GVyCaFuPHlgiaaN eXtdY
Popular posts from this blog
0
I found a lot of questions abount appendices and ToC. Many users want appendices to be grouped in an Appendix part, however some problems arise with ToC, hyperref, PDF viewer bookmarks, and so on. There are different solutions which require extra packages, command patching and other extra code, however none of them satisfies me. I almost found an easy way to accomplish a good result, where appendices are added to bookmarks in the right way and hyperref links point to the right page. However, the number of the "Appendix" part page is wrong (it's the number of appendix A). Is there any EASY way to fix that? This is a MWE: documentclass{book} usepackage[nottoc,notlot,notlof]{tocbibind} usepackage{hyperref} begin{document} frontmatter tableofcontents mainmatter part{First} chapter{...
1
In the sklearn.model_selection.cross_val_predict page it is stated: Generate cross-validated estimates for each input data point. It is not appropriate to pass these predictions into an evaluation metric. Can someone explain what does it mean? If this gives estimate of Y (y prediction) for every Y (true Y), why can't I calculate metrics such as RMSE or coefficient of determination using these results?
python scikit-learn cross-validation
share | improve this question
edited Nov 28 '18 at 17:52
desertnaut
20.3k 7 43 79
...
0
I have problem with inserting data to MySQL from modal. My modal: <a href="#" class="badge badge-pill badge-success">6 komentarzy</a> <a href="#" class="badge badge-pill badge-danger">brak komentarzy</a> <a data-toggle="modal" href="#add_desk_comm_{$desk_['desk_id']}" data-target="#add_desk_comm_{$desk_['desk_id']}" class="ediiit">(dodaj)</a> <div class="modal fade" id="add_desk_comm_{$desk_['desk_id']}" tabindex="-1" role="dialog" aria-labelledby="edit_printer" aria-hidden="true"> <div class="modal-dialog" role="document"> ...