Lecture#18 | Pandas 03 | Learn Python for Data Analysis скачать в хорошем качестве

Lecture#18 | Pandas 03 | Learn Python for Data Analysis

📊 Pandas Lecture 03 Welcome to Pandas Lecture 03, where we dive deeper into real-world data handling techniques used in professional data analysis projects. In this lecture, you’ll learn how to combine datasets, work with functions efficiently, handle duplicate records, and analyze real datasets using Pandas — all explained step by step with hands-on Jupyter Notebook examples. --- 🔍 What You’ll Learn in This Video: Combining DataFrames using: `concat` (row-wise & column-wise) `drop` (row-wise & column-wise) Using *Lambda functions with `map`*: Transforming column values Applying custom logic efficiently Merging datasets using: `merge` (SQL-style joins) `inner`, `left`, `right`, and `outer` joins Handling duplicate data: Checking duplicate values Removing duplicates safely Working with *real-world datasets*: Importing CSV files Understanding data structure Performing practical analysis operations --- 🧪 Topics Covered: Data combination techniques in Pandas Functional programming with lambda & map SQL-based joins in Pandas Duplicate value detection and cleaning Real dataset importing and analysis workflow --- 💻 Tools & Technologies Used: Python Pandas NumPy Jupyter Notebook --- 🎯 Who Is This Video For? Python beginners moving to intermediate level Data analysis students Pandas learners (*Zero to Hero Series*) Anyone preparing for real-world data analysis projects --- 👍 Support the Channel If this video helped you level up your Pandas skills: 👉 Like the video 👉 Subscribe to the channel 👉 Share with friends and classmates #pythontutorial #pandas #dataanalysis #pythonforeveryone #pandasconcat #pandasmerge #datascience #youtubevideo