tutorial
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Updated
Feb 18, 2020
Update the tutorial for "Building a container from scratch in Go - Liz Rice (Microscaling Systems)"
Description
The instructor in the above mentioned video has created a new version of the same tutorial, which can be found here
Why
It is always good to keep resources and tutorials up-to-date. The new video talks about namespaces, chroot and cgroups, and speaks about containers at a greater depth.
Is this something you're interest
can't find "from sklearn.cross_validation import train_test_split" in Latest version scikit-learn
Describe the bug
can't find "from sklearn.cross_validation import train_test_split" in Latest version scikit-learn
To Reproduce
Steps to reproduce the behavior:
- Day1
- Step 5: Splitting the datasets into training sets and Test sets
- Can't find "from sklearn.cross_validation import train_test_split" in Latest version scikit-learn**
**Desktop (please complete the following infor
Documentation
feature suggestion
Hey,
I suggest to use a standard documentation format like JSDoc to document all functions and APIs. Otherwise, you can use long strings as name for test cases, instead of just writing the name of the function being tested. This will improve readability of code and ensure better practices by people using it. Thanks.
Typo in lesson two
I find this example from
https://github.com/MostlyAdequate/mostly-adequate-guide/blob/master/ch09.md
confusingly indented:
// querySelector :: Selector -> IO DOM
querySelector('input.username')
.chain(({ value: uname }) => querySelector('input.email')
.chain(({ value: email }) => IO.of(`Welcome ${uname} prepare for spam at ${email}`)));
// IO('Welcome Olivia prepare for spam at o
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Feb 18, 2020 - Jupyter Notebook
Hi winterbe, your article is very good, it introduces the new features of Java 8 in detail, so I translate it into Chinese。Thank you!!!
Link:https://github.com/aalansehaiyang/java8-tutorial
你好,winterbe。你的文章写的真棒,里面详细介绍了Java 8新特性,我将它翻译成了中文。谢谢
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Feb 18, 2020 - Jupyter Notebook
It looks like a lot of the translated files have incorrect links to other documents in the repository. The tools section isn't updated everywhere either.
I noticed issue #16789 but decided to make a new issue since this issue is focusing on translations of the README.md and possibly preventing these issues in the future.
The following links seem to be consistently broken acr
Looping the process of writing images into the .tfrecords-file works fine, but how do I read multiple images from a .tfrecords-file?
Is there any simple solution? would be great if added to the code.
Since there is nothing in the navigation pane for jumping to the beginning of the article, the intro, which is pretty long, can "only" be accessed by jumping to the top of the section below it (technically the "first" section) then scrolling up (for several screens, to get to the beginning). So, if navigation to the beginning of the article is not to be a feature, the intro should probably be brok
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Updated
Feb 18, 2020
Frequent bug: while sorting by y-coordinate, the vertices are sorted, but the data coming with the vertices is not.
Gouraud shading, forgot to sort intensities
In my case I was calculating a barycentric coordinate of one vertex and assigning it to a different vertex by mistake.
The artifacts looked exactly the same as you presented, if it is the same problem then the description could be
Tutorial 19 worked fine with TensorFlow v. 1.4.0 and Keras v. 2.0.8-tf. But I have just upgraded to TensorFlow 1.9 and Keras 2.1.6-tf and now I get an error when trying to load the model with the best hyper-parameters. I think it is a bug in Keras because many other people have experienced variations of the same error-message, see e.g. tensorflow/tensorflow#20073
We wi
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Feb 17, 2020 - C
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Feb 17, 2020 - JavaScript
Description
Add Azure notebook to our SETUP doc.
I tested google colab and Azure notebook to run reco-repo without requiring creating any DSVM or compute by myself, and it works really well with simple tweaks to the notebooks (e.g. for some libs, should install manually).
I think it would be good to add at least Azure notebook to our SETUP doc, where users can easily test out our repo w/o
https://opensource.guide/legal/
It is not clear to me how i should practically note the copyright of a code part (for example 5 lines from a MIT project). Is it legally OK to just note the source, author and license in the commit message description or should it be in the header of the file or in the LICENSE file of the project?
When i copy whole files, the license header should not be r
Fix link in tutorial
Link is not correct in https://www.howtographql.com/graphql-java/2-queries/
To add GraphiQL, copy the example index.html from GraphiQL’s GitHub repo
Just try to open it - https://github.com/graphql/graphiql/blob/master/example/index.html
It doesn't work.
Seems like correct one is - https://github.com/howtographql/graphql-java/blob/master/src/main/webapp/index.html
And it's not neede
2.1 emphasizes the use of their new Component based methodology, with things like the <Query>
and <Mutation>
component. They've pushed for it to the point that it is quickly becoming difficult to find documentation for the 2.0 methods used in learnapollo.
A full update to 2.1 for apollo sections seems to be in order.
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Feb 18, 2020 - Jupyter Notebook
Right now it's just a collection of links (the basic format of each entry is 'name - author'). It might be helpful to make room for 1-2 sentence explanations of the link, particularly as the list grows.
(PS this project is linked prominently from the website now)
Hi,
First I would like to thank you for the initiative. I have few suggestoin for your project:
- Add a section for FFMpeg compilation and/or links for Windows/Linux. For instance, add links to Zeranoe builds. Explain the limitation of codec/mux and licenses issues, the interest of the non-free flag for compilation.
- A small guide/links explaining how to compile ffmpeg with specific opti
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https://github.com/aymericdamien/TensorFlow-Examples/blob/9e1bb504f5d0f209d000997ce2ad95bb891798ab/examples/3_NeuralNetworks/bidirectional_rnn.py#L81
I think "outputs [-1]" and "outputs [0]" are equivalent (reversed) in this line of code, but the former (89%) works better than the latter (86%). Why?