| package org.testcontainers.containers; | |
| import org.testcontainers.Testcontainers; | |
| import org.testcontainers.containers.GenericContainer; | |
| import org.testcontainers.containers.wait.strategy.Wait; | |
| import org.testcontainers.utility.DockerImageName; | |
| public class CloudflaredContainer extends GenericContainer<CloudflaredContainer> { | |
| private String publicUrl; |
| package org.testcontainers; | |
| import org.assertj.core.api.Assertions; | |
| import org.junit.Test; | |
| import org.testcontainers.containers.GenericContainer; | |
| import org.testcontainers.containers.startupcheck.OneShotStartupCheckStrategy; | |
| public class JavaGCTest { | |
| @Test |
| { | |
| "custom-layouts": [ | |
| { | |
| "uuid": "{F58A3E99-18C5-40C0-B496-22C674101D1B}", | |
| "name": "LinkedIn Learning", | |
| "type": "canvas", | |
| "info": { | |
| "ref-width": 2560, | |
| "ref-height": 1392, | |
| "zones": [ |
| package org.testcontainers; | |
| import com.github.dockerjava.api.command.InspectContainerResponse; | |
| import lombok.NonNull; | |
| import lombok.SneakyThrows; | |
| import org.apache.commons.io.FileUtils; | |
| import org.junit.Test; | |
| import org.testcontainers.containers.GenericContainer; | |
| import org.testcontainers.utility.MountableFile; |
| geo_hash | count | |
|---|---|---|
| 9q94r | 1 | |
| dr5rs14 | 2 |
This is simply a list of things I chose to install on my Windows development machines.
I omit actual links, since googling for them generally gives the best up-to-date results.
Maybe I should update this with chocolatey one day, or wait for the the new win-get tool in Windows 11.
| # https://github.com/microsoft/Git-Credential-Manager-Core | |
| git config --global credential.helper "/mnt/c/Program\\ Files/Git/mingw64/libexec/git-core/git-credential-manager-core.exe" |
| # Taken from https://towardsdatascience.com/pandas-dataframe-group-by-consecutive-certain-values-a6ed8e5d8cc | |
| df_indexed = df.reset_index(drop=True) | |
| for k, v in df_indexed[df_indexed['behavior'] == 'not_defined'].groupby((df_indexed['behavior'] != 'not_defined').cumsum()): | |
| print(f'[group {k}]') | |
| display(v) |
| [[source]] | |
| name = "pypi" | |
| url = "https://pypi.org/simple" | |
| verify_ssl = true | |
| [dev-packages] | |
| [packages] | |
| torch = "===1.7.1" | |
| install = "*" |
Since I sometimes get asked about what I would recommend as reads to gain a deeper understanding about software engineering, I was thinking to just compile a list of my favourite books in this area, which I consider a very valuable read 🙂
By Gamma et. al.
I think this is one of the classics and a very recommended read (but with a pinch of salt), basically, one of the books starting the patterns movement in OOP. While one has to be careful to not blindly force those patterns into your own software design, it is critical knowledge and part of the cultural backbone of the software industry. Knowing those patterns and being able to quickly identify them helps tremendously in understanding unfamiliar code bases and when having architecture discussions with peers.