Python - lesson 5 | HackIndia Skills

Python - lesson 5 | HackIndia Skills | HackIndia

Example

Read a text file

Use with open so Python closes the file properly. Use encoding="utf-8" so Indian names and symbols are handled better.

from pathlib import Path

input_path = Path("sample_input/feedback.txt")

with open(input_path, "r", encoding="utf-8") as file:
    lines = file.readlines()

clean_lines = [line.strip() for line in lines if line.strip()]

print(clean_lines)

Example

Read JSON data

JSON maps cleanly to Python. JSON objects become dictionaries. JSON arrays become lists.

This is useful before you call a real API. You can first test your logic with a mock JSON file.

# sample_input/jobs.json
[
  {
    "title": "Python Intern",
    "company": "Bengaluru SaaS Startup",
    "skills": ["python", "apis", "sql"]
  },
  {
    "title": "AI Tooling Intern",
    "company": "Pune Product Team",
    "skills": ["python", "json", "llm"]
  }
]

# read_json.py
import json
from pathlib import Path

input_path = Path("sample_input/jobs.json")

with open(input_path, "r", encoding="utf-8") as file:
    jobs = json.load(file)

for job in jobs:
    print(job["title"], "-", ", ".join(job["skills"]))

Example

Read CSV rows

CSV is common because people export it from spreadsheets. Python has a built-in csv module, so you do not need pandas for small inputs.

# sample_input/reviews.csv
name,rating,comment
Asha,5,Fast delivery and good support
Rohan,2,App crashed during payment

# read_csv.py
import csv
from pathlib import Path

input_path = Path("sample_input/reviews.csv")

with open(input_path, "r", encoding="utf-8", newline="") as file:
    reader = csv.DictReader(file)
    reviews = list(reader)

for review in reviews:
    print(review["name"], review["rating"], review["comment"])

Read files and JSON

One core habit

Why this matters

Pick file types

Read a text file

Read JSON data

Read CSV rows

Common mistake

Use AI carefully

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