This code was developed as an exercise within the online course Python: trabalhando com I/O [Python: working with I/O] at Alura.

The code implements methods for:

1. Reading a contacts list from a CSV file (.data/contacts.csv)

   • Each line of the CSV file represents one contact in the format id,name,email

2. Converting the CSV line into a Python object of the class Contact

   • The class is implemented in contact.py a an object with attributes id, name, and email

3. Serializing and deserializing the contacts list using pickle

4. Serializing and deserializing the contacts list using JSON

The repository is organized as follows

./
|-- README.md       : this file
|-- main.py         : main program; run with `python3 main.py`
|-- contact.py      : implements the `Contact` class
|-- contact_utils.py    : implements the methods for handling `Contact` objects
`-- data/           : input and output files
    |-- contacts.csv    : contacts list in CSV format
    `-- contacts.json   : contacts list in JSON format

To run the code, simply execute the file main.py with a Python 3 interpreter.

python3 main.py

The code was written for study purposes. All it should do is read the data/contacts.csv file and save its contents back in pickle and JSON formats as data/contacts.p and data/contacts.json. It then proceeds to read the pickle and JSON files and print their contents on the screen.

Warning

Make sure you trust the content of pickle files before opening them. Since they'll restore Python objects, it's fairly easy to insert malicious code into them.