How to load data from Iterable to Postgres destination

First, ensure that PostgreSQL is installed on your system. Then, install `psycopg2`, a PostgreSQL adapter for Python, to interact with the database. You can install it using pip:
```bash
pip install psycopg2-binary
```

Organize your data into a format that can be easily iterated over. Typically, this involves ensuring your data is in lists or dictionaries. For example:
```python
data = [
{"id": 1, "name": "Alice", "age": 30},
{"id": 2, "name": "Bob", "age": 25}
]
```

Create a PostgreSQL database and the necessary table where your data will be inserted. Use the `psql` command-line tool or a GUI like pgAdmin to execute:
```sql
CREATE DATABASE mydatabase;
\c mydatabase
CREATE TABLE mytable (
id SERIAL PRIMARY KEY,
name VARCHAR(100),
age INTEGER
);
```

Use psycopg2 to establish a connection to your PostgreSQL database. This requires your database credentials such as host, database name, user, and password.
```python
import psycopg2

conn = psycopg2.connect(
host="localhost",
database="mydatabase",
user="yourusername",
password="yourpassword"
)
```

Create a cursor object using the connection. The cursor allows you to execute SQL commands.
```python
cur = conn.cursor()
```

Iterate over your data and use SQL `INSERT` statements to add each item to the table. Ensure you commit the transaction to save changes.
```python
for item in data:
cur.execute(
"INSERT INTO mytable (id, name, age) VALUES (%s, %s, %s)",
(item['id'], item['name'], item['age'])
)
conn.commit()
```

After inserting all data, close the cursor and connection to free up resources.
```python
cur.close()
conn.close()
```

By following these steps, you can move data from an iterable structure in Python to a PostgreSQL database using pure Python code and SQL statements, without relying on third-party connectors or integrations.