co2 | A C++ await/yield emulation library for stackless coroutine | Android library

I am trying to replicate the example from this tutorial, but using iterparse with elem.clear().

XML example:

App builds fine locally and works on local production server + development server. The api used to fetch data is working fine.

Code which is producing the error

I am working on a Ph.D. project, which objective is to reduce CO2 emissions on Earth.

I have a dataset, and I was able to successfully implement a CNN, which gives 80% accuracy (worst-case scenario). However, the field where I work is very demanding, and I have the impression that I could get better accuracy with a well-optimized CNN.

How do experts design CNN's? How could I choose between Inception Modules, Dropout Regularization, Batch Normalization, convolutional filter size, size and depth of convolutional channels, number of fully-connected layers, activations neurons, etc? How do people navigate this large optimization problem in a scientific manner? The combinations are endless. Are there any real-life examples where this problem is navigated, addressing its full complexity (not just optimizing a few hyper-parameters)?

Hopefully, my dataset is not too large, so the CNN models that I am considering should have very few parameters.

This is my R-markdown code:

What I want to do is that for a particular Cylinder Id , if cylinder is issued then the user name and the issue date will be displayed in cylinder List , like this

Consider the following:

I have imported ecoinvent 3.7.1 on a brightway project and i followed a few tutorials to understand brightway set up procedures and usage.

I want to use brightway to perform calculations on the inventory data of some processes (in particular i want to sum all emissions to air of CO2, CH4, N2O.

I tried with:

I have a measurement in every 10-second interval with a date and I need to put a continuous number in one column for the time. Could you please help me to create a loop in R. example data:

I'm trying to save the plots I got using "el in list". With "plot.show()" I only have the last plot. I tried with another one "plot.savefig.." but it didn't work so I left them as a comment. This is the code:

list = ['N2 flow', 'O2 flow', 'CH4 flow', 'CO2 flow']

for el in list: