Humans are not symetric. As a result the legs are not exactly the same size. For some the size diffence leads to pathologies particularly for sportsmen. Thurty percent of running people have the iliotibial band syndrome which is a consequence of such unbalenced body. As a chronic disease it is complicated to heal and sometimes changing shoes or environment is sufficient to relapse and a podiastrist treatment is often necessary.
Human have gradualy been less and less physical: hunter/trapper, farmer, workers and novadays digitalized works. In the meantime, it turns out food has been more and more easy to get. We saturate of energy.
The command below is great to concat multiple pdf together. I had some problem with pdftk.
gs -dBATCH -dNOPAUSE -q -sDEVICE=pdfwrite -sOutputFile=merged.pdf mine1.pdf mine2.pdf
Also this command allows to compress a large pdf into something smaller:
gs -sDEVICE=pdfwrite -dCompatibilityLevel=1.4 -dPDFSETTINGS=/default -dNOPAUSE -dQUIET -dBATCH -dDetectDuplicateImages -dCompressFonts=true -r150 -sOutputFile=output.pdf input.pdf
It is also possible to split pdf with pdfbox:
java -jar /app/edsr/script/java/pdfbox-app-2.0.0-SNAPSHOT.jar PDFSplit ./authorisation-inscription.pdf
I have tested multiple ways to get data from hdfs. There is two situations:
After creating a environment with conda and installing packages, the jupyter notebook environment may not see them. The method below adds a new kernel based on the later environment and allow to benefit from conda:
conda activate my-env conda create -n my-env pip setuptools ipykernel python=3.5 python -m ipykernel install --user --name my-env --display-name "Python (my-env)"
PostgreSQL and Hadoop are complementary technologies. PostgreSQL outperforms Hadoop to retrieve small amount of information from multiple tables. Hadoop outperforms PostgreSQL to transform multiple tables into simplfied and aggregated tables. So, how to load PostgreSQL efficiently from Hadoop ?
Its about using the docs github pages method.
The alternate way is to use a gh-pages branch to store the website. The main problem is the method leads to highly complex deployment method with git subtree or other way
A second problem is this method make either duplicate website source code, or makes building the website for each post.
Anaconda allows to have multiple python versions. This is much easier than using virtualenv
I am fairly new to archlinux. Postgresql 11 is fairly new too. Here are the steps to install that version.