Typos and grammatical errors only

Signed-off-by: Bilgin Ibryam <bibryam@gmail.com>

actors/csharp/sdk/README.md

@@ -1,7 +1,7 @@
 # Dapr Actors (Dapr SDK)
 
 Let's take a look at the Dapr [Actors building block](https://docs.dapr.io/developing-applications/building-blocks/actors/actors-overview/). In this Quickstart, you will run a SmartDevice.Service microservice and a simple console client to demonstrate the stateful object patterns in Dapr Actors.  
-1. Using a SmartDevice.Service microservice, developers can host two SmartDectectorActor smoke alarm objects, and a third ControllerActor object that command and controls the smart devices.  
+1. Using a SmartDevice.Service microservice, developers can host two SmartDetectorActor smoke alarm objects, and a third ControllerActor object that command and controls the smart devices.  
 2. Using a SmartDevice.Client console app, developers have a client app to interact with each actor, or the controller to perform actions in aggregate. 
 3. The SmartDevice.Interfaces contains the shared interfaces and data types used by both service and client apps
 
@@ -18,7 +18,7 @@ For this example, you will need:
 
 ### Step 2: Set up the environment
 
-Clone the [sample provided in the Quickstarts repo](https://github.com/dapr/quickstarts/tree/master/workflows).
+Clone the [sample provided in the Quickstarts repo](https://github.com/dapr/quickstarts/tree/master/actors).
 
 ```bash
 git clone https://github.com/dapr/quickstarts.git
@@ -122,7 +122,7 @@ name: Shutdown dapr
 -->
 
 ```bash
-dapr stop --app-id  actorservice
+dapr stop --app-id actorservice
 (lsof -iTCP -sTCP:LISTEN -P | grep :5001) | awk '{print $2}' | xargs  kill
 ```
 

bindings/csharp/sdk/README.md

@@ -1,6 +1,6 @@
 # Dapr Bindings (Dapr SDK)
 
-In this quickstart, you'll create a microservice to demonstrate Dapr's bindings API to work with external systems as inputs and outputs. The service listens to input binding events from a system CRON and then outputs the contents of local data to a PostreSql output binding. 
+In this quickstart, you'll create a microservice to demonstrate Dapr's bindings API to work with external systems as inputs and outputs. The service listens to input binding events from a system CRON and then outputs the contents of local data to a PostgreSQL output binding. 
 
 Visit [this](https://docs.dapr.io/developing-applications/building-blocks/bindings/) link for more information about Dapr and Bindings.
 

pub_sub/go/sdk/order-processor/app.go

@@ -33,7 +33,7 @@ func main() {
 	// Start the server
 	err = s.Start()
 	if err != nil && err != http.ErrServerClosed {
-		log.Fatalf("error listenning: %v", err)
+		log.Fatalf("error listening: %v", err)
 	}
 }
 

tutorials/distributed-calculator/README.md

@@ -8,7 +8,7 @@ This quickstart shows method invocation and state persistent capabilities of Dap
 - **Subtraction**: [.NET Core](https://docs.microsoft.com/en-us/dotnet/core/) application
 
 The front-end application consists of a server and a client written in [React](https://reactjs.org/).
-Kudos to `ahfarmer` whose [React calculator](https://github.com/ahfarmer/calculator)
+Kudos to `ahfarmer` whose [React calculator](https://github.com/ahfarmer/calculator) was used as a starting point for the frontend implementation.
 
 The following architecture diagram illustrates the components that make up this quickstart:
 
@@ -160,7 +160,7 @@ sleep: 2
 4. Multiply App - Open a terminal window and navigate to the python directory and follow the steps below:
 
 <!-- STEP
-name: "Build ptyhon app"
+name: "Build python app"
 working_dir: "./python"
 -->
 
@@ -227,7 +227,7 @@ expected_stdout_lines:
   - "Exited App successfully"
 expected_stderr_lines:
 output_match_mode: substring
-name: "Run frontent app"
+name: "Run frontend app"
 working_dir: "./react-calculator"
 background: true
 sleep: 15
@@ -393,7 +393,7 @@ kubectl apply -f .
 
 Each of the services will spin up a pod with two containers: one for your service and one for the Dapr sidecar. It will also configure a service for each sidecar and an external IP for the front-end, which allows us to connect to it externally.
 
-4. Kubernetes deployments are asyncronous. This means you'll need to wait for the deployment to complete before moving on to the next steps. You can do so with the following commands:
+4. Kubernetes deployments are asynchronous. This means you'll need to wait for the deployment to complete before moving on to the next steps. You can do so with the following commands:
 
 <!-- STEP
 name: "Deploy Kubernetes"

tutorials/hello-world/python/app.py

@@ -24,7 +24,7 @@ while True:
     message = {"data": {"orderId": n}}
 
     try:
-        response = requests.post(dapr_url, json=message, timeout=5, headers = {"dapr-app-id": "nodeapp"})
+        response = requests.post(dapr_url, json=message, timeout=5, headers={"dapr-app-id": "nodeapp"})
         if not response.ok:
             print("HTTP %d => %s" % (response.status_code,
                                      response.content.decode("utf-8")), flush=True)

workflows/go/sdk/README.md

@@ -12,7 +12,7 @@ The quickstart contains 1 workflow (OrderProcessingWorkflow) which simulates pur
 activities are as follows:
 
 - NotifyActivity: This activity utilizes a logger to print out messages throughout the workflow. These messages notify the user when there is insufficient 
-§inventory, their payment couldn't be processed, and more.
+inventory, their payment couldn't be processed, and more.
 - VerifyInventoryActivity: This activity checks the state store to ensure that there is enough inventory present for purchase.
 - RequestApprovalActivity: This activity seeks approval from a manager, if payment is greater than 5000 USD.
 - ProcessPaymentActivity: This activity is responsible for processing and authorizing the payment.