Updating README.md (#383)

Author: Madhupatel08

README.md

@@ -17,10 +17,14 @@ At the core of Dagger.jl is a scheduler heavily inspired by [Dask](https://docs.
 
 ## Installation
 
-You can install Dagger by typing
+Dagger.jl can be installed using the Julia package manager. Enter the Pkg REPL mode by typing "]" in the Julia REPL and then run:
 
 ```julia
-julia> ] add Dagger
+pkg> add Dagger
+```
+Or, equivalently, via the Pkg API:
+```julia
+julia> import Pkg; Pkg.add("Dagger")
 ```
 
 ## Usage
@@ -37,6 +41,34 @@ b = Dagger.@spawn rand(a, 4)
 c = Dagger.@spawn sum(b)
 fetch(c) # some number!
 ```
+## Contributing Guide
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
+[![GitHub issues](https://img.shields.io/github/issues/JuliaParallel/Dagger.jl)](https://github.com/JuliaParallel/Dagger.jl/issues)
+[![GitHub contributors](https://img.shields.io/github/contributors/JuliaParallel/Dagger.jl)](https://github.com/JuliaParallel/Dagger.jl/graphs/contributors)
+
+Contributions are encouraged. 
+
+There are several ways to contribute to our project:
+
+**Reporting Bugs**: If you find a bug, please open an issue and describe the problem. Make sure to include steps to reproduce the issue and any error messages you receive regarding that issue.
+
+**Fixing Bugs**: If you'd like to fix a bug, please create a pull request with your changes. Make sure to include a description of the problem and how your changes will address it.
+
+Additional examples and documentation improvements are also very welcome.
+
+## Resources
+List of recommended Dagger.jl resources:
+- Docs [![][docs-master-img]][docs-master-url]
+- Videos
+  - [Distributed Computing with Dagger.jl](https://youtu.be/capjmjVHfMU)
+  - [Easy, Featureful Parallelism with Dagger.jl](https://youtu.be/t3S8W6A4Ago)
+  - [Easier parallel Julia workflow with Dagger.jl](https://youtu.be/VrqzOsav61w)
+  - [Dagger.jl Development and Roadmap](https://youtu.be/G0Y62ysFbDk)
+
+## Help and Discussion
+For help and discussion, we suggest asking in the following places:
+
+[Julia Discourse](https://discourse.julialang.org/c/domain/parallel/34) and on the [Julia Slack](https://julialang.org/slack/) in the `#distributed` channel.
 
 ## Acknowledgements