Cleanup the README by fixing various typos and improving formatting. (#80)

Author: ClaytonJY

README.md

@@ -11,32 +11,32 @@
 the official Roboflow python package that interfaces with the [Roboflow API](https://docs.roboflow.com). Key features of
 Roboflow:
 
-- Import and Export image datasets into any supported [formats](https://roboflow.com/formats)
+- Import and Export image datasets into any supported [format](https://roboflow.com/formats)
 - [Preprocess](https://docs.roboflow.com/image-transformations/image-preprocessing)
   and [augment](https://docs.roboflow.com/image-transformations/image-augmentation) data using Roboflow's dataset
   management tools
 - Train computer vision models using [Roboflow Train](https://docs.roboflow.com/train) and deploy
   to [production](https://docs.roboflow.com/inference)
 - Use [community curated projects](https://universe.roboflow.com/) to start building your own vision-powered products
 
-## Installation:
+## Installation
 
 To install this package, please use `Python 3.6` or higher. We provide three different ways to install the Roboflow
 package to use within your own projects.
 
 Install from PyPi (Recommended):
 
-```
+```bash
 pip install roboflow
 ```
 
 Install from Source:
 
-```
+```bash
 git clone https://github.com/roboflow-ai/roboflow-python.git
 cd roboflow-python
 python3 -m venv env
-source env/bin/activate 
+source env/bin/activate
 pip3 install -r requirements.txt
 ```
 
@@ -51,7 +51,7 @@ rf = roboflow.Roboflow(api_key=YOUR_API_KEY_HERE)
 # List all projects for your workspace
 workspace = rf.workspace()
 
-# Load a certain project, workspace url is optional
+# Load a certain project (workspace url is optional)
 project = rf.project("PROJECT_ID")
 
 # List all versions of a specific project
@@ -79,9 +79,9 @@ prediction.json()
 prediction.save(output_path='predictions.jpg')
 ```
 
-## Using this package for a specifc project
+## Using this package for a specific project
 
-If you have a specific project from your workspace you'd like to run in a notebook follow along on this tutorial [Downloading Datasets from Roboflow for Training (Python)](https://www.youtube.com/watch?v=76E6esnez8E)
+If you have a specific project from your workspace you'd like to run in a notebook, follow along with this tutorial: [Downloading Datasets from Roboflow for Training (Python)](https://www.youtube.com/watch?v=76E6esnez8E).
 
 Selecting the format you'd like your project to be exported as while choosing the `show download code` option will display code snippets you can use in either Jupyter or your terminal. These code snippets will include your `api_key`, project, and workspace names.
 
@@ -107,7 +107,7 @@ docker build -t roboflow-python -f Dockerfile.dev .
 docker run --rm -it \
   -v $(pwd)/:/workspace/ \
   --env-file .env \
-  roboflow-python 
+  roboflow-python
 
 # Run tests
 python -m unittest
@@ -117,15 +117,13 @@ python -m unittest
 
 You can pass the build arg `PYTHON_VERSION` to dynamically change python version at build time
 
-```
+```bash
 docker build  -t roboflow-python --build-arg PYTHON_VERSION=3.9 -f Dockerfile.dev .
 ```
 
 Will use `python:3.9-slim`
 
-**Note** If you are using [VSCode](https://code.visualstudio.com/) we reccomend to read the ["Developing inside a Container"](https://code.visualstudio.com/docs/remote/containers) tutorial.
-
-
+**Note** If you are using [VSCode](https://code.visualstudio.com/) we recommend you read the ["Developing inside a Container"](https://code.visualstudio.com/docs/remote/containers) tutorial.
 
 ### Using Virtualenv
 
@@ -161,7 +159,8 @@ python -m unittest
 ### Code Quality
 
 When creating new functions, please follow the [Google style Python docstrings](https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html). See example below:
-```
+
+```python
 def example_function(param1: int, param2: str) -> bool:
     """Example function that does something.
 
@@ -177,9 +176,10 @@ def example_function(param1: int, param2: str) -> bool:
 
 We provide a `Makefile` to format and ensure code quality. **Be sure to run them before creating a PR**.
 
-```
-# format your code with `black` and `isort` run
+```bash
+# format code with `black` and `isort`
 make style
+
 # check code with flake8
 make check_code_quality
 ```