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Files & data

Read and write files safely; parse JSON, CSV, and common text formats.

8 matches
Files & data easy

Automatically Highlight Data Validation Errors Inside Excel Files in Python

Load an Excel file with openpyxl, iterate over cells, and highlight invalid data (empty, negative) with a red fill and error message.

excel validation openpyxl
Python
import openpyxl
from openpyxl.styles import PatternFill
from pathlib import Path

def highlight_validation_errors(filepath: str, output_path: str = None):
    wb = openpyxl.load_workbook(filepath)
    red_fill = PatternFill(start_color="FF0000", end_color="FF0000", fill_type="solid")
    
    for sheet in wb.worksheet…
61 0 Open
Files & data easy

How to Load a YAML Subset in Python Without PyYAML

Parse a flat, key-value YAML file with the Python standard library (re and pathlib), handling comments, quotes, and inline comments while skipping nested structures.

yaml parsing stdlib
Python
import re
from pathlib import Path

def load_yaml_subset(path):
    """Load a flat YAML file (key: value) without external dependencies."""
    data = {}
    with open(path, 'r', encoding='utf-8') as f:
        for line in f:
            # Skip empty lines and comments
            line = line.strip()
            if no…
18 0 Open
Files & data easy

How to Load and Save JSON Files in Python

Load and save JSON files with pretty formatting using Python's standard library json module and pathlib.

json files pathlib
Python
import json
from pathlib import Path


def load_json(filepath: str) -> dict:
    """Load JSON data from a file."""
    path = Path(filepath)
    with path.open("r", encoding="utf-8") as f:
        return json.load(f)


def save_json(filepath: str, data: dict) -> None:
    """Save data to a JSON file with pretty format…
12 0 Open
Files & data easy

How to Merge Environment-Specific Config JSON in Python

Loads a base JSON config and overlays environment-specific overrides, merging the two dictionaries into one final config.

json config pathlib
Python
import json
import pathlib


def load_config(base_path: pathlib.Path, env: str) -> dict:
    base_config = json.loads(base_path.read_text())
    env_path = base_path.with_name(f"config.{env}.json")
    if env_path.exists():
        env_config = json.loads(env_path.read_text())
        return {**base_config, **env_conf…
14 0 Open
Files & data easy

How to Parse INI Config Files in Python with configparser

Load and read settings from an INI file using Python's built-in configparser module, with type-safe value access.

configparser ini configuration
Python
import configparser
from pathlib import Path

# Create a sample INI file for demonstration
sample_content = """
[Database]
host = localhost
port = 5432
user = admin
password = secret123

[Logging]
level = INFO
file = app.log
max_size = 10MB
"""

config_file = Path("sample_config.ini")
config_file.write_text(sample_con…
12 0 Open
Files & data easy

How to Read a JSON File into a Dictionary in Python

Load a JSON file into a Python dictionary using the json.load() function with proper file handling and UTF-8 encoding.

json file-io dictionary
Python
import json
from pathlib import Path

def read_json_file(filepath: str) -> dict:
    """Read a JSON file and return its contents as a dictionary."""
    path = Path(filepath)
    with path.open("r", encoding="utf-8") as f:
        data = json.load(f)
    return data

if __name__ == "__main__":
    # Create a sample JS…
13 0 Open
Files & data easy

How to Read and Write Text Files in Python

This code provides simple helper functions to save and load text files using Python's standard pathlib library.

file-io pathlib text-files
Python
from pathlib import Path


def save_text_data(filename: str, content: str) -> None:
    file_path = Path(filename)
    file_path.write_text(content, encoding="utf-8")


def load_text_data(filename: str) -> str:
    file_path = Path(filename)
    return file_path.read_text(encoding="utf-8")


if __name__ == "__main__":…
14 0 Open
Files & data easy

How to Serialize a Python Object to Pickle Bytes in Memory

Serialize a Python object to pickle bytes in memory with pickle.dumps, then deserialize it back with pickle.loads and verify the roundtrip.

pickle serialization bytes
Python
import pickle

class Person:
    def __init__(self, name, age, skills):
        self.name = name
        self.age = age
        self.skills = skills

def main():
    person = Person("Alice", 30, ["Python", "SQL", "Docker"])
    
    # Serialize to bytes in memory
    pickle_bytes = pickle.dumps(person)
    
    print(…
16 0 Open

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