---
title: "INI vs. YAML: working with configuration files in Python"
published: "2023-03-23"
publisher: Honeybadger
author: Aditya Raj
category: Python articles
tags:
  - Python
description: "Discover the power of configuration files in Python and learn how to work with YAML and INI file formats. From understanding the benefits of configuration files to comparing YAML and INI, this article is your one-stop guide for mastering configuration file management in Python."
url: "https://www.honeybadger.io/blog/python-ini-vs-yaml/"
---

To run any software on a machine, it needs to meet the requirements of the software. The requirements may include other software modules, adequate storage and memory available, and other device settings. These requirements are specified by the software developers using configuration files. In this article, we will discuss configuration files, their necessity in software projects, and the different types of configuration files. We will also discuss different types of configuration files in Python and how we can work with INI and YAML configuration files in Python.

## What are Configuration Files?

Configuration files contain requirements, settings, dependencies, and preferences for a software program or application. These files can be used to specify the settings for software, based on the system configuration. Normally, configuration files contain specific information in the format of key-value pairs. The information can be stored in a simple text file using delimiters or specific file formats, such as INI, XML, or YAML, depending on the requirements. These files can then be read and manipulated using text editors or configuration management tools to update the settings and preferences for the software application. Most of the configuration files include a subset of the following data:

- Layout and appearance of a user interface.
- Hardware requirements to run the software.
- Operating system.
- Location of certain files.
- Required software modules to run the software.
- Defaults settings.
- Version control information, etc.

Using the above information, configuration files allow users and administrators to fine-tune the operation of a system or software program to meet their specific needs and preferences. Having discussed what a configuration file is, let us discuss the need for a configuration file for a software project.

## Why Do We Need Configuration Files?

We need configuration files for many reasons; here are some of them:

- **Documentation**: We use configuration files to document the configuration of a program or an entire software application. This will help the developers understand the requirements and setup of the software.
- **Centralized Configuration**: You can use configuration files to store settings for multiple programs or systems in a centralized location. This makes it easier to manage and maintain the configuration of a large number of systems.
- **Specification of Version Control Information**: Configuration files are used to store information about the version of a program or system. This can be useful for tracking changes and maintaining compatibility.
- **Integration**: If you want to integrate new software into an existing system, configuration files help determine the dependencies and compatibility of the programs. This helps you integrate it smoothly and avoid breaking the entire system.
- **Portability**: Configuration files can be used to store settings specific to a particular machine or environment. This allows a program or system to be easily moved to a different machine or environment without having to reconfigure everything manually.
- **Automating Tasks**: Configuration files can be used to automate certain tasks or processes, such as scheduling a task to run at a specific time or setting up a system to automatically start certain programs when it is booted up.

## What Are the Different Configuration File Formats?

There are many configuration file formats. The specific format used for any software depends on the program or system with which the configuration file is used. You can keep configuration files in any of the formats according to your requirements. Examples of these formats are as follows:

- **Plain text**: You can keep configuration files as plain text files that contain settings in the form of key-value pairs, separated by a delimiter, such as a colon or an equals sign. These files can be edited using a text editor.
- **XML**: Extensible Markup Language (XML) is a widely used format for storing structured data and is often used for configuration files. XML files use a set of tags to define the structure and content of the data and can be edited using a text editor or specialized XML editing software.
- **INI**: INI files are a type of configuration file commonly used on Windows systems. They consist of sections, each of which contains a set of key-value pairs that define the configuration settings for that section. INI files can be edited using a text editor or specialized configuration tool.
- **JSON**: JavaScript Object Notation (JSON) is a lightweight data-interchange format often used for storing data in a structured manner. JSON files can be used as configuration files and edited using a text editor or specialized JSON editor.
- **YAML**: YAML Ain't Markup Language is a human-readable data serialization format often used for configuration files in Linux systems. YAML files are simple text files that use a set of indentation-based rules to define the structure of the data. They can be edited using a text editor.

Configuration files can also be stored in other formats, such as binary files, database files, or proprietary formats specific to a particular program or system. In this article, we will only discuss INI and YAML file formats. Why? INI and YAML files are one of the most used configuration file formats. INI configuration files are used in Windows, whereas YAML files are extensively used in Linux and other Unix-like environments. For example, MLFlow, which is an MLOps software, stores the configuration settings in YAML files. Thus, knowing about INI and YAML files can help you cover almost 75 percent of the digital ecosystem. In the next sections, I will explain how to read, write, and manipulate INI and YAML files in Python.

## Working with INI Files in Python

INI files are most often used in the Windows file system. Each INI configuration file is structured in the form of sections and fields. Each file contains different sections, and each section contains different fields with values associated with them. For example, the following is a configuration file for a web server in INI format:

```ini
[server] port = 8080 host = 0.0.0.0 [logging] level = info file = /var/log/web-server.log [database] url = postgres://user:password@host:port/database pool = 100
```

Here, the configuration file contains three sections, namely `server`, `logging`, and `database`. The `server` section contains two fields- `port` and `host` that have the values `8080` and `0.0.0.0`, respectively. Similarly, the `logging` section contains two fields, namely `level` and `file`, whereas the `database` section contains the fields `url` and `pool`. To handle INI configuration files in Python, we will use the `configparser` module. You can install the `configparser` module on your machine using the following command:

```bash
pip3 install configparser
```

In Python 2, you can use the following command.

```bash
pip install configparser
```

After installation, you can use the configparser module to work with INI configuration files in Python.

### Create a New INI Configuration File in Python

To create a new configuration file in Python, we will use the `ConfigParser()` function defined in the `configparser` module. When we execute the `ConfigParser()` function, it returns a `ConfigParser` object. The `ConfigParser` object has no data in it. We can add sections and fields to the empty `ConfigParser` object to create a configuration file.

To add a new section with different fields to the `ConfigParser` object, you first need to create a dictionary object containing the field names as keys and the values of the fields as the associated value to each key. After creating the dictionary, you can add the data to the `ConfigParser` object using the following syntax.

```python
config_object[section_name]= dict_of_fields
```

Here,

- `config_object` is the object returned by the `ConfigParser()` function.
- `section_name` is the name of the section in the configuration file.
- `dict_of_fields` is the Python dictionary containing fields and their values as key-value pairs. Keys and values of the fields must be of string data type.

After assigning the dictionary containing the field names to the configuration object, you can save the `ConfigParser` object to an INI file using the `write()` method.

The `write()` method, when invoked on a `ConfigParser` object, takes a file object as its input argument. After execution, it saves the `ConfigParser` object to the file. You can observe this in the following example:

```python
# Import module import configparser # Create a configparser object config_object = configparser.ConfigParser() # Add sections to the configuration object config_object["server"]={"port" : "8080", "host" : "0.0.0.0"} config_object["logging"]={"level" : "info", "file" : "/var/log/web-server.log"} config_object["database"]={"url" : "postgres://user:password@host:port/database", "pool" : "100"} # Save the configuration file with open("server-config.ini","w") as file_object: config_object.write(file_object)
```

Output File: [Configuration File](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/server-config.ini)

The file looks as follows:

![Sample INI File](https://www.honeybadger.io/images/blog/posts/ini-vs-yaml-working-with-configuration-files-in-python/ini-create-file.png)

Instead of the above approach, we can also use the built-in `add_section()` and `set()` methods to create a new configuration file. The `add_section()` method, when invoked on a `ConfigParser` object, takes the name of the section as its input argument. After execution, it adds the specified section to the `ConfigParser` object. If the section is already present with the name given to the `add_section()` method, it raises a `DuplicateSectionError` exception. The `set()` method is used to set field names in a `ConfigParser` object. It has the following syntax.

```python
config_object.set(section_name, field_name, field_value)
```

Here, the `section_name` parameter takes the name of the section in which we need to add the new field. The section with `section_name` must be present in the `ConfigParser` object. Otherwise, the `set()` method raises a `NoSectionError` exception. The `field_name` contains the name of the field, and the `field_value` contains the value associated with the field.

You can use the `set()` method and the `add_section()` method to create an INI configuration file in Python:

```python
# Import module import configparser # Create a configparser object config_object = configparser.ConfigParser() # Add sections to the configuration object config_object.add_section("server") config_object.add_section("logging") config_object.add_section("database") # Add field names to the configuration object for each section config_object.set("server","port","8080") config_object.set("server","host","0.0.0.0") config_object.set("logging","level","info") config_object.set("logging","file","/var/log/web-server.log") config_object.set("database","url","postgres://user:password@host:port/database") config_object.set("database","pool","100") # Save the configuration file with open("server-config-1.ini","w") as file_object: config_object.write(file_object)
```

Output file : [Configuration File](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/server-config-1.ini)

### Read an INI Configuration File in Python

To read an INI configuration file in Python, you first need to open the file using the `open()` function in read mode. Then, you can read the file using the `read()` method, as shown in the following example.

```python
with open("server-config-1.ini","r") as file_object: config_data=file_object.read() print(config_data)
```

Output:

```ini
[server] port = 8080 host = 0.0.0.0 [logging] level = info file = /var/log/web-server.log [database] url = postgres://user:password@host:port/database pool = 100
```

In this example, the configuration file is read as a text file. If you want to read the configuration file into a `ConfigParser` object, you can use the `read_file()` method defined in the `configparser` module. To do this, you first need to create an empty configuration object using the `ConfigParser()` method. Then, you can use the `read_file()` method to load the INI configuration file into the configuration object. The `read_file()` method takes the file pointer as its input argument and adds the data present in the file to the `ConfigParser` object.

Once we get the `ConfigParser` object, we can use the `get()` method to get the value in any field. The `get()` method, when invoked on a `ConfigParser` object, takes the section name as its first input argument and the field name as its second input argument. After execution, it returns the value in the specified section and field, as shown below.

```python
# Import module import configparser # Create configparser object config_object = configparser.ConfigParser() with open("server-config-1.ini","r") as file_object: config_object.read_file(file_object) url=config_object.get("database","url") print(url)
```

Output:

```python
postgres://user:password@host:port/database
```

Here, if the section name given as input to the `get()` method is not present in the configuration file, the program will run into a `NoSectionError` exception. If the field name is not present in the file, the program will run into a `KeyError` exception.

### Update an INI Configuration File in Python

To update a field value in an INI configuration file in Python, we will first create an empty `ConfigParser` object using the `ConfigParser()` method. Then, we will load the existing INI file to the `ConfigParser` object using the `read_file()` method. Then, we can update a field, add a new section, or add a new field to the configuration file. Let us discuss these. To update a field value in a `ConfigParser` object, you can use the following syntax:

```python
config_object [section_name][field_name]=field_value
```

Here, the `config_object` is the `ConfigParser` object. The `section_name` is the name of the section we want to update. The `field_name` and `field_value` are the name of the field and the new value being assigned to the field `field_name`. Here, if a field with the name `field_name` exists, the value associated with the field gets updated. Otherwise, a new field with the name `field_name` is added to the configuration object. After adding the field name, you can save the `ConfigParser` object back to an INI file using the `write()` method, as shown below.

```python
# Import module import configparser # Create configparser object config_object = configparser.ConfigParser() # Update the configuration file with open("server-config.ini","r") as file_object: config_object.read_file(file_object) config_object["server"]["port"]="8888" config_object["server"]["format"]="IPv6" # Save the updated file with open("server-config-updated.ini","w") as file_object: config_object.write(file_object)
```

Output File: [Updated Configuration File](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/server-config-updated.ini)

The above file looks as follows.

![INI file after update](https://www.honeybadger.io/images/blog/posts/ini-vs-yaml-working-with-configuration-files-in-python/ini-update-file.png)

Instead of using the above approach, you can also use the `update()` method to update or add a field in the configuration file. The `update()` method has the following syntax.

```python
config_object[section_name].update(dict_of_fields)
```

Here, the `config_object` is the `ConfigParser` object. The `section_name` is the name of the section we want to update. The `dict_of_fields` is a python dictionary containing field names and associated values as key-value pairs. All the keys and values must be strings.

If a field name is already present in the file, it gets updated. Otherwise, a new field is added to the configparser object.

After updating the `ConfigParser` object, you can save the configuration file using the `write()` method, as shown below.

```python
# Import module import configparser # Create a configparser object config_object = configparser.ConfigParser() # Update the configuration file with open("server-config-1.ini","r") as file_object: config_object.read_file(file_object) config_object["server"].update({"port":"8888","format":"IPv6"}) # Save the updated file with open("server-config-updated-1.ini","w") as file_object: config_object.write(file_object)
```

Output: [Updated Configuration File](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/server-config-updated-1.ini)

To add a new section to a configuration file, you can use the `add_section()` method, as discussed while creating the configuration file.

### Delete Data From an INI Configuration File in Python

To delete data from an INI configuration file, we can delete either a field or an entire section. To delete a field from a configuration file, we can use the `remove_option()` method. The `remove_option()` method takes the section name as its first input argument and the field name as its second input augment. After execution, it deletes the field from the specified section in the configuration file.

You can observe this in the following example.

```python
# Import module import configparser # Create a configparser object config_object = configparser.ConfigParser() # Update the configuration file with open("server-config.ini","r") as file_object: config_object.read_file(file_object) config_object.remove_option("server","port") config_object.remove_option("server","format") # Save the updated file with open("server-config-deleted.ini","w") as file_object: config_object.write(file_object)
```

Output: [Configuration File After Delete Operation](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/server-config-deleted.ini)

The output file looks as follows.

![INI file after deletion](https://www.honeybadger.io/images/blog/posts/ini-vs-yaml-working-with-configuration-files-in-python/ini-delete-file.png)

Here, if the field name is not present in the original configuration file, nothing happens. However, if the section name given to the `remove_option()` is not present in the configuration file, it will raise a `NoSectionError` exception.

To delete a section from an INI configuration file in python, you can use the `remove_section()` method. The `remove_section()` method, when invoked on a `ConfigParser` object, takes the section name as its input argument and removes the section, as shown below.

```python
# Import module import configparser # Create a configparser object config_object = configparser.ConfigParser() # Update the configuration file with open("server-config-1.ini","r") as file_object: config_object.read_file(file_object) config_object.remove_section("server") # Save the updated file with open("server-config-deleted-1.ini","w") as file_object: config_object.write(file_object)
```

Output: [Configuration File After Delete Operation](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/server-config-deleted-1.ini)

Here, if the input section name is not present in the configuration file, nothing happens.

## Working with YAML Files in Python

YAML is one of the most commonly used configuration file formats, as it is supported by almost all programming languages. A simple YAML file has the following structure.

1. Each YAML document starts with ---.
2. The data is stored in key-value pairs and nested data structures are allowed, too.
3. Three periods … mark the end of a YAML document.
4. Comments start with #, just like python.

Following is an example of a YAML configuration file.

```yaml
--- id:admin123 password: password1234 server: port: 8080 host: 0.0.0.0 logging: level: info file: /var/log/web-server.log database: url: postgres://user:password@host:port/database pool: 100 …
```

In the above file, there are three sections, namely `server`, `logging`, and `database`. There are also two fields, namely `id` and `password`, that aren't present inside any section. Each field and its value are separated using :.

A YAML file can also contain more than one YAML document, as shown below.

```yaml
--- Author: Aditya Content Type: Blog Topic: Configuration Files Website Name: HoneyBadger --- Author: Jay Content Type: Tutorial Topic: Python Website Name: AvidPython …
```

In the above example, the file contains two YAML documents separated by ---. Now, let us discuss how to work with YAML configuration files in Python. To do this, we will use the PyYAML module. You can install the PyYAML on your machine using the following command:

```bash
pip3 install PyYAML
```

In Python 2, you can use the following command to install the PyYAML module.

```bash
pip install PyYAML
```

### Create a New YAML Configuration File in Python

To create a new YAML configuration file in Python, you can create an empty python dictionary. Let’s name it `config_dict`. Then, we will use the following syntax to add data to the dictionary.

```python
config_dict[section_name]=dict_of_fields
```

Here, `section_name` is the name of the section we need to add to the configuration file. The `dict_of_fields` variable contains a dictionary having all the field names and field values for the specified section. You can also add fields to a YAML file outside the sections. To do this, you can use the following syntax.

```python
config_dict[field_name]=field_value
```

Here, `field_name` is the field we want to add to the YAML file with the value `field_value`. After creating the dictionary, you can use the `dump()` method to convert the dictionary to a YAML file. The `dump()` method takes the dictionary containing configuration data as its first input argument and a file pointer as its second input argument. After execution, it saves the YAML configuration file to the file. To create a YAML configuration file, we will first open a file in write mode using the `open()` method. Then, we will use the `dump()` method to save the configuration data to the file.

```python
import yaml # Create an empty dictionary config_dict=dict() # Add configuration data to the dictionary config_dict["server"]={'port': 8080, 'host': '0.0.0.0'} config_dict["logging"]={'level': 'info', 'file': '/var/log/web-server.log'} config_dict["database"]={'url': 'postgres://user:password@host:port/database','pool': 100} # Save the dictionary to a YAML file with open("web-server-details.yaml","w") as file_object: yaml.dump(config_dict,file_object)
```

Output: [YAML Configuration File](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/web-server-details.yaml)

The file looks as follows.

![Sample YAML File](https://www.honeybadger.io/images/blog/posts/ini-vs-yaml-working-with-configuration-files-in-python/yaml-create-file.png)

You can also add more than one YAML document in a single YAML file. To do this, use the `dump_all()` method instead of the `dump()` method. Instead of a single dictionary containing configuration data, the `dump_all()` method takes a list of dictionaries as its input and saves them to the configuration file.

You can observe this in the following example.

```python
import yaml # Create an empty dictionary config_dict=dict() # Add configuration data to the dictionary config_dict["server"]={'port': 8080, 'host': '0.0.0.0'} config_dict["logging"]={'level': 'info', 'file': '/var/log/web-server.log'} config_dict["database"]={'url': 'postgres://user:password@host:port/database','pool': 100} # Create another dictionary details_dict= {"Website Name":"HoneyBadger","Author":"Aditya", "Topic":"Configuration Files", "Content Type":"Blog"} list_of_dicts=[config_dict,details_dict] # Save data to a YAML file with open("web-server-details-1.yaml","w") as file_object: yaml.dump_all(list_of_dicts,file_object)
```

Output: [YAML Configuration File](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/web-server-details-1.yaml)

The output file looks as follows.

![YAML file with multiple documents](https://www.honeybadger.io/images/blog/posts/ini-vs-yaml-working-with-configuration-files-in-python/yaml-create-file-1.png)

### Read a YAML Configuration File in Python

To read a YAML configuration file in Python, we can use the `load()` method or the `load_all()` method. The `load()` method is used to read a configuration file when it contains only one YAML document. It has the following syntax:

```python
yaml.load(file_ptr, Loader=SafeLoader)
```

Here, the `file_ptr` is the file pointer of the YAML file returned by the `open()` method. The `Loader` parameter is used to specify how you want to load the configuration file. It can have four values:

1. `BaseLoader`: If the Loader parameter is set to `BaseLoader`, all the data from the configuration file is read as a string.
2. `SafeLoader`: If the `Loader` is set to `SafeLoader`, the `load()` method loads the data safely. You can use it while loading files from untrusted sources.
3. `FullLoader`: When we set the `Loader` parameter to `FullLoader`, it loads the full YAML file but avoids arbitrary code execution. Still, it poses risk if used to load files from untrusted sources.
4. `UnsafeLoader`: The `UnsafeLoader` option is used to load configuration files from untrusted sources. It’s generally used for backward compatibility.

After execution, the `load()` method returns a dictionary containing the configuration data. To read a YAML configuration file containing a single document, we will first open the file in read mode using the `open()` method. Then, we will use the `load()` method to read the configuration data, as shown below.

```python
import yaml with open("web-server-details.yaml","r") as file_object: data=yaml.load(file_object,Loader=yaml.SafeLoader) print(data)
```

Output:

```python
{'database': {'pool': 100, 'url': 'postgres://user:password@host:port/database'}, 'logging': {'file': '/var/log/web-server.log', 'level': 'info'}, 'server': {'host': '0.0.0.0', 'port': 8080}}
```

Instead of using the `load()` method, you can use the `load_all()` method to read a YAML configuration file if it contains more than one document. The `load_all()` method returns a generator containing dictionaries. You can use the generator to read the YAML documents, as shown below.

```python
import yaml with open("web-server-details-1.yaml","r") as file_object: generator_obj=yaml.load_all(file_object,Loader=yaml.SafeLoader) for data in generator_obj: print(data)
```

Output:

```python
{'database': {'pool': 100, 'url': 'postgres://user:password@host:port/database'}, 'logging': {'file': '/var/log/web-server.log', 'level': 'info'}, 'server': {'host': '0.0.0.0', 'port': 8080}} {'Author': 'Aditya', 'Content Type': 'Blog', 'Topic': 'Configuration Files', 'Website Name': 'HoneyBadger'}
```

### Update a YAML Configuration File in Python

Once you load a YAML configuration file to a python dictionary, you can perform different operations on the dictionary to update the configuration file. After modifying the dictionary, you can save it to the YAML configuration file using the `dump()` method. To update or add a new section to a configuration file, we will use the following syntax:

```python
config_dict[section_name]=dict_of_fields
```

To update or add a new field outside the sections, you can use the following syntax:

```python
config_dict[field_name]=field_value
```

To update or add a field inside a section, you can use the following syntax:

```python
config_dict[section_name][field_name]=field_value
```

After modifying the `config_dict`, you can save the dictionary to a YAML file using the `dump()` method, as shown below.

```python
import yaml file_object=open("web-server-details.yaml","r") config_dict=yaml.load(file_object,Loader=yaml.SafeLoader) # Add a new section config_dict["credentials"]={"id":"admin123","password":"password123"} # Add a new field to an existing section config_dict["server"]["format"]="IPv6" # Update an existing field inside a section config_dict["server"]["port"]="8888" # Add a new field outside the sections config_dict["author"]="Aditya" file_object.close() with open("web-server-details-updated.yaml","w") as file_object: yaml.dump(config_dict,file_object)
```

Output: [Updated Configuration File](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/web-server-details-updated.yaml)

The file looks as follows.

![YAML file after update](https://www.honeybadger.io/images/blog/posts/ini-vs-yaml-working-with-configuration-files-in-python/yaml-update-file.png)

Instead of using the above approach, you can also use the `update()` method to add or update sections and fields in a YAML configuration file in python. To add or update a section to the file, you can use the following syntax:

```python
config_dict.update({section_name:dict_of_fields})
```

To add multiple sections, you can pass them to the update() method using the following syntax:

```python
section_dict={section1_name:dict_of_fields1, section2_name:dict_of_fields2} config_dict.update(section_dict)
```

To add or update a new field inside a section in the configuration file, you can use the following syntax:

```python
config_dict[section_name].update({field_name:field_value})
```

To add or update a field outside the sections, you can use the following syntax:

```python
config_dict.update({field_name:field_value})
```

You can also update multiple fields by passing them as key-value pairs in the dictionary passed to the `update()` method. After updating the dictionary object, you can save it to a YAML file using the `dump()` method.

```python
import yaml file_object=open("web-server-details.yaml","r") config_dict=yaml.load(file_object,Loader=yaml.SafeLoader) # Add a new section config_dict.update({"credentials":{"id":"admin123","password":"password123"}}) # Add a new field or update an existing field inside a section config_dict["server"].update({"format":"IPv6","port":"8890"}) # Add a new field outside the sections config_dict.update({"author":"Aditya Raj"}) file_object.close() with open("web-server-details-updated-1.yaml","w") as file_object: yaml.dump(config_dict,file_object)
```

Output: [Updated Configuration File](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/web-server-details-updated-1.yaml)

### Delete Data From a YAML Configuration File in Python

To delete data from the configuration file, we will use the `pop()` method. The `pop()` method, when invoked on a dictionary, takes a key as its input argument and deletes it from the dictionary.

To delete a section from the configuration file, we will use the following syntax:

```python
config_dict.pop(section_name)
```

To delete a field inside a section of the dictionary, we will use the following syntax:

```python
config_dict[section_name].pop(field_name)
```

To delete a field that isn’t inside any section, we will use the following syntax:

```python
config_dict.pop(field_name)
```

After deleting the required data, you can save the dictionary back to the configuration file using the `dump()` method, as shown below.

```python
import yaml file_object=open("web-server-details-updated-1.yaml","r") config_dict=yaml.load(file_object,Loader=yaml.SafeLoader) # Delete a section config_dict.pop("server") # Delete a field inside a section config_dict["logging"].pop("level") # Delete a field outside the sections config_dict.pop("author") file_object.close() with open("web-server-details-deleted-1.yaml","w") as file_object: yaml.dump(config_dict,file_object)
```

Output: [Configuration File After Delete Operation](https://github.com/aditya-001/HoneyBadger/blob/c01b041f24bfaf18e1a1c8e59f4fa5b1eff82e30/ini-%20vs-yaml-working-with-configuration-files-in-python/web-server-details-deleted-1.yaml)

The output file looks as follows.

![YAML File after deletion](https://www.honeybadger.io/images/blog/posts/ini-vs-yaml-working-with-configuration-files-in-python/yaml-delete-file.png)

## YAML vs INI: Which Configuration File Format Should You Use?

INI is considered better for simple, flat configurations that need to be used across a wide range of systems. It's easy to read and parse, and it’s supported by many software applications. YAML is better for more complex configurations that need to be edited by humans, as the indentation and data types make it more expressive and easier to read and understand. YAML also allows for comments, which could be used to add explanations or notes to the configuration file. It's also more versatile in terms of encoding, whereas INI has a more limited set of encodings. The chosen format will depend on your specific use case and requirements. If you are writing code that will mostly be used in windows systems, you can choose the INI file format. For UNIX systems, you can choose the YAML file format. Remember, the choice of file format only depends on your preferences. Both file formats work well on all operating systems.

## Conclusion

In this article, we first discussed the basics of configuration files and why we need them. Then, we discussed different file formats for configuration files. Next, we performed different operations on INI and YAML configuration files using the configparser and PyYAML modules in Python. Finally, we briefly discussed INI versus YAML to determine which configuration file format you should use.

I hope you enjoyed reading this article. Stay tuned for more informative articles.

Happy Learning!

---

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