Remove splitters

Author: Alfiya Tarasenko

python/create-a-map/README.md

@@ -2,7 +2,7 @@
 
 This project demonstrates how to use the [Geoapify Maps Tiles](https://www.geoapify.com/map-tiles/) to display an interactive raster map using [folium](https://pypi.org/project/folium/). The map includes customizable styles, zoom levels, and center coordinates.
 
----
+
 
 ## **Features**
 - Uses Geoapify Maps API for high-quality map tiles.
@@ -46,7 +46,7 @@ Install the required Python libraries using pip:
 pip install folium requests
 ```
 
----
+
 
 ## **Running the Example**
 
@@ -64,7 +64,7 @@ python interactive_map.py --style osm-bright --zoom 12 --lat 48.8566 --lon 2.352
 - `--lat` (optional, default: `48.8584`): Latitude for the map center.
 - `--lon` (optional, default: `2.2945`): Longitude for the map center.
 
----
+
 
 ## Code Explanation
 
@@ -135,7 +135,7 @@ def create_map(map_style, zoom, lat, lon, api_key):
 
 This function allows users to create a customizable interactive map with Geoapify tiles, supporting different styles and zoom levels.
 
----
+
 
 ## **Output**
 - The script generates a `map.html` file.

python/geocode_addresses/README.md

@@ -2,7 +2,7 @@
 
 This project demonstrates how to use the [Geoapify Geocoding API](https://www.geoapify.com/geocoding-api/) to geocode addresses from an input file and save the results in NDJSON format.
 
----
+
 ## **Features**
 - Uses Geoapify's Geocoding API to retrieve latitude/longitude for addresses.
 - Supports batch processing of addresses from an input file.
@@ -57,7 +57,7 @@ Whitney Museum of American Art, 99 Gansevoort St, New York, NY 10014, USA
 Solomon R. Guggenheim Museum, 1071 5th Ave, New York, NY 10128, USA
 Brooklyn Museum, 200 Eastern Pkwy, Brooklyn, NY 11238, USA
 ```
----
+
 
 ## **Running the Example**
 
@@ -74,7 +74,7 @@ python geocode_addresses.py --api_key 27a3c5f9a6754da28283d1995edb9467 --input i
 - `--output` (required): Output filename (e.g., `output.ndjson`).
 - `--country_code` (optional): Restrict geocoding results to a specific country (e.g., `us`, `de`, `fr`).
 
----
+
 
 ## **Code Explanation**
 
@@ -140,14 +140,14 @@ if __name__ == "__main__":
     main()
 ```
 
----
+
 
 ## **Output**
 - The script generates an NDJSON (`.ndjson`) file with geocoding results.
 - Each line in the file is a JSON object containing location data.
 - If an address is not found, an error message is logged.
 
----
+
 
 ## **Example Geocoding API Call**
 
@@ -248,7 +248,7 @@ https://api.geoapify.com/v1/geocode/search?text=The%20Metropolitan%20Museum%20of
 }
 ```
 
----
+
 
 ## **Error Handling**
 - Handles HTTP errors, including invalid API keys and server failures.

python/reverse-geocoding/README.md

@@ -2,7 +2,7 @@
 
 This project demonstrates how to use the Geoapify [Reverse Geocoding API](https://www.geoapify.com/reverse-geocoding-api/) to retrieve address details from latitude and longitude coordinates.
 
----
+
 
 ## **Features**
 
@@ -45,7 +45,7 @@ Install the required Python libraries using pip:
 pip install requests
 ```
 
----
+
 
 ## **Running the Reverse Geocoding Example**
 
@@ -66,7 +66,7 @@ python reverse_geocode.py --api_key 27a3c5f9a6754da28283d1995edb9467 --input inp
 - `--type` (optional, default: `address`): Type of result to retrieve (`address`, `street`, `city`, `postcode`, `county`, `state`).
 - `--output_format` (optional, default: `json`): Format of response (`json` or `geojson`).
 
----
+
 
 ## **Example Input File (Coordinates)**
 
@@ -80,7 +80,7 @@ Below is a sample list of latitude and longitude coordinates that can be used as
 34.052235, -118.243683
 ```
 
----
+
 
 ## **Reverse Geocoding API Call**
 
@@ -165,9 +165,14 @@ https://api.geoapify.com/v1/geocode/reverse?lat=40.779437&lon=-73.963244&format=
 }
 ```
 
-### **Notes**
-- Replace `{LAT}` and `{LON}` with the desired coordinates.
-- Replace `{API_KEY}` with your valid Geoapify API key.
-- Use `format=json` to get the response in JSON format.
+## **Error Handling**
+- Handles HTTP errors, including invalid API keys and server failures.
+- Logs warnings when an address cannot be geocoded.
+- Ensures the program does not crash due to individual request failures.
 
+## **Notes**
+- Ensure that you have a valid [Geoapify API key](https://www.geoapify.com/) before running the script.
+- The API supports different country filters to improve geocoding accuracy.
 
+## **License**
+This project is licensed under the MIT License.