https://github.com/nimit95/learnuv-solutions
LearnUv solutions
https://github.com/nimit95/learnuv-solutions
Last synced: 28 days ago
JSON representation
LearnUv solutions
- Host: GitHub
- URL: https://github.com/nimit95/learnuv-solutions
- Owner: nimit95
- License: mit
- Created: 2018-08-13T10:53:59.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-08-17T19:08:44.000Z (over 7 years ago)
- Last Synced: 2024-12-29T08:24:32.055Z (about 1 year ago)
- Language: C
- Homepage:
- Size: 160 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# learnuv
These are the solutions for learnuv. You can find the source code in src directory.
To execute the src file run the following commands
```sh
./learnuv make
./out/Debug/
```
Eg
```sh
./out/Debug/03_fs_readsync
```
Original repo link [](https://github.com/thlorenz/learnuv)
Learn uv for fun and profit, a self guided workshop to [the library](https://github.com/libuv/libuv) that powers Node.js.
## Before You Start
Read the [learnuv gitbook](http://thlorenz.github.io/learnuv/book) which explains some libuv and related C language
concepts that will help you complete the exercises.
## Installation
Requires [Python](https://www.python.org/downloads/) 2.6 or 2.7 to be installed.
If python is not in your path set the environment variable `PYTHON` to its
location. For example on Windows: `set PYTHON=C:\Python27\python.exe`
```sh
git clone https://github.com/thlorenz/learnuv && cd learnuv
npm install
```
## Getting Started
```sh
./learnuv help
```
## Building
**learnuv** comes with build commands that you can use instead of the manual steps explained further below.
- **./learnuv ninja**
Compile your sources with ninja, stored inside `./out/Debug`
- **./learnuv make**
Compile your sources with make, stored inside `./out/Debug`
- **./learnuv xcode**
Generate a learnuv Xcode project, named `./learnuv.xcodeproj`
### Windows Caveats
Ninja and Make do not work on windows except via [cygwin](https://www.cygwin.com/).
### Ninja
Highly recommended since it builds faster than any of the other options, so [get ninja](https://ninja-build.org/)
and do:
```sh
./gyp_learnuv.py -f ninja
ninja -C out/Debug
./out/Debug/01_system_info
```
### Make
Works on Linux and OSX.
```sh
./gyp_learnuv.py -f make
make -C out
./out/Debug/01_system_info
```
### Xcode
Works on OSX only. Highly recommended to ease debugging and code navigation.
```sh
./gyp_learnuv.py -f xcode
open learnuv.xcodeproj
```
### Visual Studio
Works on Windows only. **TODO** need to adapt [vcbuild.bat](https://github.com/joyent/libuv/blob/master/vcbuild.bat).
## Running
```
./learnuv
```
## License
MIT