Pandas - разбор всех основных возможностей на реальном датасете

🔥 Telegram https://t.me/ershov_diary 🔥 A personalized data science training program tailored to your goals, with my mentoring support until you achieve results: https://ershov.io/dsprogram?utm_sourc... Here I explain why I created this program, who it's suitable for, and its advantages:    • Video   🔥 My Telegram channel about data science: https://t.me/ershovds 🔥 Support the channel:    / @alexanderershov   Link to the code: https://github.com/ershovio/youtube_t... 📖 Contacts Instagram:   / ershovio   Twitter:   / ershovio   Facebook:   / ershovio   LinkedIn:   / ershovio   GitHub: https://github.com/ershovio ⏰ Timestamps: 0:00 Introduction 1:17 Creating a DataFrame 3:49 Exporting a DataFrame 4:38 Initial DataFrame Analysis 6:17 One-Dimensional Data / Series 7:18 Filtering by Rows and Columns 14:43 Sorting Data 16:20 Combining DataFrames with Concat and Merge 21:40 Analytical Functions (describe, mean, etc.) 23:31 Grouping Data with Group by 26:12 Counting Correlations 26:33 Visualizing Data with the Plot Function (matplotlib) 28:47 Modifying Data in Series and DataFrame #ershovds alexander ershov, alexander ershov, pandas, pandas tutorial, pandas for data analysis, data analysis, pandas, machine learning, data analyst, data analyst from scratch, data analyst profession, pandas from scratch, pandas dataframe, pandas series, pandas series tutorial, pandas merge, pandas join, pandas group by, pandas groupby, python pandas, python pandas tutorial, pandas training, data visualization and machine learning:, data visualization, python data visualization