Kaggle Pandas Exercise: Create, Read & Write 📊

📊 "Kaggle Pandas Exercise: Creating, Reading, & Writing - Hands-On Data Wrangling!" 📊

🔍 We're diving into the Kaggle Pandas exercise, "Creating, Reading, and Writing." Let's tackle these challenges and solidify our data manipulation skills!

📌 Setting Up the Environment:

import pandas as pd: Importing the Pandas library.
pd.set_option('display.max_rows', 5): Limiting the displayed rows to 5 for brevity.
from learntools.core import binder: Importing tools for answer checking (not crucial for our learning).

📊 Exercise 1: Creating a DataFrame:

We need to create a DataFrame called fruits with "Apples" and "Bananas" columns.
Solution 1 (Dictionary): Using a dictionary with column names as keys and lists as values.
Solution 2 (List of Lists): Using a list of lists and specifying column names separately.
Both solutions are valid; we'll discuss the pros and cons.

✏️ Exercise 2: Creating Another DataFrame:

We'll create a DataFrame called fruit_sales with sales data for 2017 and 2018.
We'll use the index parameter to set the row labels.
We'll explore different ways to construct the DataFrame.

🌍 Exercise 3: Creating a Series:

We'll create a Series called ingredients with ingredient names and quantities.
We'll learn how to create a Series with custom index and name.
We'll discuss data types (object for strings).

📈 Exercise 4: Reading a CSV File:

We'll read the winemag-data_first150k.csv file into a DataFrame called reviews.
We'll use pd.read_csv() and the index_col parameter.
We'll compare our solution with the official one.

🤖 Exercise 5: Saving a DataFrame to CSV:

We'll save the animals DataFrame to a CSV file named cows_and_goats.csv.
We'll use the to_csv() method.
We'll discuss the index=False parameter (optional).

🚀 Moving Forward:

We've completed the "Creating, Reading, and Writing" exercise.
We're now moving on to "Indexing, Selecting, and Assigning."
Let's continue our Pandas journey!

#KagglePandas #DataFrames #Series #CSVFiles #PythonForData #DataAnalysis #PandasTutorial #LearnPandas 📊✏️🌍📈🤖🚀

📚 Further expand your web development knowledge

FreeCodeCamp Series: https://www.youtube.com/playlist?list=PLktFju7xyBzQi_ybSHMKZgyna2YZAHub5
Javascript Codewars Series: https://www.youtube.com/playlist?list=PLktFju7xyBzSQq5tnV-qJV5v8cZ7PtO1k

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