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Khadirou is a town and arrondissement in the Alibori Department of northeastern Benin. It is an administrative division under the jurisdiction of the commune of Kandi. According to the population census conducted by the Institut National de la Statistique Benin on February 15, 2002, the arrondissement had a total population of 4,952.

References

Category:Populated places in the Alibori Department
Category:Arrondissements of BeninQ:

How to install/compile a new C++ compiler?

(I hope my question is on topic here)
I am using Ubuntu 12.04 LTS and I want to compile my c++ programs.
I want to use the GNU Compiler Collection(GCC).
But I don’t know the procedure to install it. I don’t know how to open it to compile the programs…

A:

I found the information in these posts :

After that you should know what to install and what to run.
PS : I never use the terminal for compiling. I use the IDE.

Santarà

Santarà is a comune (municipality) in the Province of Treviso in the Italian region Veneto, located about north of Venice and about northeast of Treviso. As of 31 December 2004, it had a population of 3,208 and an area of.

Santarà borders the following municipalities: Armanzo, Casignana, Ceresara, Fratta Polesine, Monteparisso, San Martino di Venezze, and Tesero.

Demographic evolution

References

Category:Cities and towns in VenetoO transt
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CardTool.exe is used to remove and manage installed applications of any memory card. When installed, CardTool.exe will start and run in background. After
CardTool.exe
CardTool.exe. Install and unInstall can be completed from the Management Tab. Click ‘Details’ for more information.
Used by: P0417-fw1 CarTool [9]; P0417-fw2 CarTool [9]; P0417-fw3 CarTool [9] Thank you for your support! Setup: 1.
03. 01. P0417-fw1 CarTool [9]; P0417-fw2 CarTool [9]; P0417-fw3 CarTool [9] V2.0 CardTool.exe..62. п»їMost of the above is wrong.
P0417-fw1 CarTool [9]; P0417-fw2 CarTool [9]; P0417-fw3 CarTool [9] V2.0 CardTool.exe..62. п»їMost of the above is wrong.
Note: This software is only for managing
the installed applications on the card. If you want to remove unused and unused applications from the card then you should check
the special section related to file removal and defragmentation.
Please refer to the individual section on the special topic if you want to know more.
Data On Card Tool is an software that is used to defragment and clean the card. It is a tool that can improve the performance of your card, enable your card to read and write information faster, the card tool can be used to defragment and free the space of your card. It is not a commandline for card repair.
The main feature of this software is to fix the partition of all types of SD Card, both of the various models of mobile phone and micro SD card, as well as the card from cameras and the other related SD card.
That’s why, some times in the past few years, software developers think that their card tool is compatible with all SD card, so that they could do the software installation on computers.
But the truth is that there is a big difference between the mobile phone card and the micro SD card. For example, if the size of the mobile phone card is 30-40 GB,
that of micro SD card is only 16-32GB. Because of the differences in the size of the card,

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Reshaping nested list with names and values

I have a list of groups of data (a nested list) and want to reshape it to the following format:
Group1 Group2 Group3 Group4 Group5
data data data data data
data data data data data
data data data data data
data data data data data
data data data data data
data data data data data

The list is fairly long and has the structure of
[[[1,2,3], [4,5,6], [7,8,9]], [[10,11,12], [13,14,15], [16,17,18]]]

I would like a solution that is generalizable to any length of list. Thanks in advance for any tips!

A:

You could use pd.melt to reshape it as long as you specify the variable for the columns and the value for the index.
Note that order is preserved so the resulting dataframe will keep the same order of the original.
import pandas as pd

input = [[[1,2,3], [4,5,6], [7,8,9]], [[10,11,12], [13,14,15], [16,17,18]]] output = pd.DataFrame([df.