Python Mini Projects for Beginners: 5 Practice Projects Before Learning pandas
P13.6 What to Learn After Python Basics: Your Path to pandas
Why. You now know enough Python to start real data analysis. The next step is pandas, which turns everything you did by hand into short commands.
What. How your new skills map to pandas:
| You learned | In pandas it becomes |
|---|---|
| list of dictionaries | pd.DataFrame(rows) |
| csv.DictReader loop | pd.read_csv("file.csv") |
| dict totals by key | df.groupby("key").sum() |
| NumPy mask filter | df[df.amount > 1000] |
| np.where | np.where on a column / df.assign |
| string methods | df["city"].str.strip().str.title() |
| json.load | pd.read_json / pd.json_normalize |
How to read this table: each row maps one Python basics skill to its pandas version.
How.
Move on to the Data Science chapters
- Make sure every example in these 13 chapters runs on your computer.
- Take each chapter quiz and score at least 70%.
- Open Chapter 1 of the Data Science course.
- Keep this section open as a reference when pandas code looks strange.
Worked example A — Your first pandas line (preview).
Step 1 — What we do. The orders table from the lists chapter, now in pandas. Install pandas first if needed.
Step 2 — Type and run this code.
import pandas as pd
orders = [
{"order_id": "O1", "city": "Pune", "amount": 450},
{"order_id": "O2", "city": "Mumbai", "amount": 1200},
{"order_id": "O3", "city": "Pune", "amount": 300},
]
df = pd.DataFrame(orders)
print(df.groupby("city")["amount"].sum())
Step 3 — Output you should see.
city
Mumbai 1200
Pune 750
Name: amount, dtype: int64
Step 4 — What it means. One line does the city totals you wrote with loops earlier. Welcome to pandas!
Ravindra Bagale's Tip
Do not skip the quizzes. Getting 70% proves you are ready for pandas; below that, re-run the examples of the chapters you missed.
Ravindra Bagale's Tip – मराठी
Quizzes skip करू नका. 70% मिळाले तर तुम्ही pandas साठी तयार आहात; त्यापेक्षा कमी असतील तर चुकलेल्या chapters चे examples परत चालवा.
Ravindra Bagale's Tip – हिंदी
Quizzes skip मत करो. 70% आए तो आप pandas के लिए तैयार हो; उससे कम हो तो छूटे chapters के examples फिर से चलाओ.
Samajla ka? If yes, take the quiz for this chapter. If not, run every example again and change one value each time.