This pandas tutorial covers basics on dataframe. DataFrame is a main object of pandas. It is used to represent tabular data (with rows and columns). This tutorial will go over, 1) What is dataframe? 2) Create dataframe from csv file and python dictionary 3) Dealing with rows and columns 4) Operations: mean, max, std, describe 5) Conditional selection 6) set_index function and usefulness of it Topics that are covered in this Python Pandas Video: 0:00 Introduction 0:15 What is Dataframe? 2:02 Import pandas in jupyternotebook 3:34 Create dataframeusing python dictionary 5:15 Use head() method 5:52 Use tail() method 6:10 Use Indexing and slicing in dataframe 8:12 Insert new cell in current cell 8:39 What is the type of your dataframe? 10:01 Operations with your dataframe 10:34 Use max() method 11:02 Use mean() method 11:11 Use min() method 11:23 Use describe() method 12:12 Conditional select the data in your dataframe 14:55 Pandas operations list 15:41 Use set_index() method 18:12 Use reset_index() method Code: Do you want to learn technology from me? Check for my affordable video courses. Next Video: Python Pandas Tutorial 3: Different Ways Of Creating DataFrame Very Simple Explanation Of Neural Network: Popular Playlist: Complete python course: Data science course: Machine learning tutorials: Pandas tutorials: Git github tutorials: Matplotlib course: Data structures course: Data Science Project - Real Estate Price Prediction: To download csv and code for all tutorials: go to , click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file. 🌎 My Website For Video Courses: Need help building software or data analytics and AI solutions? My company can help. Click on the Contact button on that website. #️⃣ Social Media #️⃣ 🔗 Discord: 📸 Dhaval's Personal Instagram: 📸 Codebasics Instagram: 🔊 Facebook: 📱 Twitter: 📝 Linkedin (Personal): 📝 Linkedin (Codebasics): 🔗 Patreon: