Kaggleの"Data Types and Missing Values"の演習を通じて、データ型の概念や欠損値の扱い方を学びました。 プログラミング初心者の視点から、「これはどういう意味？」と思ったことや、「こうすれば分かりやすかった！」と感じたポイントを記録していきます。

Pythonとpandasでデータを読み込んだはいいものの、行の順番がバラバラで、どうにも見づらい…。そんな経験はありませんか？データを特定のルール（例えば、日付が古い順や、売上が大きい順）で並び替えることは、データ分析の基本中の基本です。

Python data types define how values are stored, processed, and interpreted in every program. Choosing the right data type improves clarity, reduces errors, and simplifies logic. Understanding ...

This repository contains a beginner‑friendly tutorial on how to handle missing values in tabular datasets using Python and pandas. The main example is a small sensor dataset (sensor_log.csv) with ...

Dictionaries in Python are one of the most versatile and powerful data structures available. They allow you to store data in key-value pairs, making it easy to access and manipulate information. In ...

Python, for all its power and popularity, has long lacked a form of flow control found in other languages—a way to take a value and match it elegantly against one of a number of possible conditions.

Bachelor of computer Application Graduate||Aspiring Full stack Developer ||Working as an Jr.Software Engineering || C || Python || HTML || CSS || Javascript ...