Summary
Keywords
Full Transcript
#datascience #pandaspythontutorial #pandastricks --------------------------------------------------------------------------------------------------------------------------------------- Video Description: In this video, we'll be discussing some tips and tricks for working with Pandas, the popular Python library for data manipulation and analysis. Whether you're a beginner looking to get started with Pandas or an experienced user looking to up your game, this video has something for you. We'll be covering a range of topics, including: How to read and write data from different file formats (such as CSV, Excel, and SQL) How to select and filter data using Pandas' powerful indexing and querying capabilities How to group and aggregate data using Pandas' groupby function How to handle missing or incomplete data And much more! This tutorial is presented in Urdu/Hindi, so it's perfect for those who are more comfortable learning in these languages. However, even if you don't speak Urdu or Hindi, the visuals and examples in the video should still be easy to follow along with. So if you're interested in learning more about Pandas, be sure to check out this video!--------------------------------------------------------------------------------------------------------------------------------------- ✅Subscribe to our Channel to learn more about the top Data Science, Machine Learning and Deep Learning : https://www.youtube.com/c/Codanics --------------------------------------------------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------------------------------------------------- Explore other free courses here: 🔥 Python ka chilla v1.0 for Data Science (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50HVsu-Ao8NBr0UJSO8O6lBI 🔥 Machine learning ka chilla (playlist): https://www.youtube.com/watch?v=KYl9zmSt-Ik&list=PL9XvIvvVL50HHzaLPtFBOuikAWa0JdhMW 🔥 Streamlit course for dash boards and webapps for data science (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50FG8TUsLScsLMmJDacK36x2 🔥 Cloud computing (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50H72Q75WkYA_2zjZok30Rvp 🔥 #RwithAammar Programming with R for Data Analysis and Data Science (Playlist): https://www.youtube.com/playlist?list=PL9XvIvvVL50E8HimtAnVL8N70MqImYOLS 🔥 Make publication ready graphs in Rstudio: https://www.youtube.com/playlist?list=PL9XvIvvVL50Hi2RGu-zlNEnk9WJMjPH-g 🔥 Computer Vision openCV in Python (Playlist): https://youtube.com/playlist?list=PL9XvIvvVL50GKoKrluZ1A96Bsuw8qC-3r 🔥MS Excel for Data Analysis: https://www.youtube.com/playlist?list=PL9XvIvvVL50Hl4kVygAWYEpBXUteQlAiN 🔥 SQL complete course in Hindi/Urdu: https://youtube.com/playlist?list=PL9XvIvvVL50FszjOhcZw9WXIJQY6ZwV5g --------------------------------------------------------------------------------------------------------------------------------------- 🔥-Follow me on following platforms: 1. Twitter: https://twitter.com/aammar_tufail 2. github: https://github.com/AammarTufail 3. Tiktok: https://www.tiktok.com/@draammar --------------------------------------------------------------------------------------------------------------------------------------- #dataScience Join this telegram group for regular updates via zoom meeting 1-to-1 sessions: https://t.me/codanics --------------------------------------------------------------------------------------------------------------------------------------- for more details: www.codanics.com Timestamp: 00:00:00 Agenda 00:00:58 01- Pandas Version? 00:02:58 02- Creating a DataFrame? 00:10:35 03- Columns Renames? 00:19:22 04- Template Data? 00:25:55 05- Own Data? 00:28:00 Assignment 00:28:22 06- Reverse Row Order 00:32:05 07- Reverse Column Order 00:33:03 08- Select a column by dtype 00:36:57 09- Convert Strings to Number 00:43:25 10- Reduce DataFrame Size 00:47:23 11- Copy Data From Clipboard 00:53:20 12- Split the DataFrame 00:57:28 13- Join two Datasets 00:58:47 14- Filtering a Dataset 01:08:53 Assignment 01:10:14 15- Filtering by Large Categories 01:15:30 16- Spliting a string into Multiple Column 01:24:33 17- Aggregate by multiple group/function 01:31:08 18- Select Specific Rows or Column 01:37:03 19- Reshape Multi Index Series 01:41:08 20- Continous to Categorical data Conversion 01:45:00 21- Convert one Set of values into another one 01:50:06 22- Transpose a wide dataframe 01:54:16 23- Reshaping a data frame
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
