Introduction to Pandas with Python | Data Engineering Bootcamp скачать в хорошем качестве

Introduction to Pandas with Python | Data Engineering Bootcamp

In this video, I will cover the basics of the Pandas library, which is an essential tool for data manipulation in Python. ▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬ 0:00 - Intro 0:23 - Why Pandas is an important tool for Data Engineers 1:37 - Benefits of using Pandas 3:49 - Pandas tutorial for beginners 13:45 - Outro Importance of Pandas for Data Engineers So, as you can see, Pandas is an essential tool for data engineers. It enables you to work with structured data in various formats and perform complex data manipulation and analysis tasks with ease. With Pandas, you can save time and effort and focus on building robust data systems and data pipelines. Other Benefits of using Pandas Data manipulation: Pandas provide a wide range of functions and methods to manipulate and clean data, such as filtering, merging, pivoting, and reshaping data. Data analysis: Pandas provides tools for performing complex data analysis tasks, such as grouping data, calculating summary statistics, and handling missing data. Data visualization: Pandas provides a convenient interface to the Matplotlib library for creating high-quality data visualizations. Performance: Pandas is built on top of NumPy library, which provides efficient array operations and enables Pandas to handle large datasets efficiently. Integration: Pandas can integrate with a wide range of data sources, including CSV files, Excel files, SQL databases, and web APIs. FOLLOW ME ON MEDIUM:   / syal.anuj​   INSTAGRAM:   / ​   TWITTER:   / anuj_syal   GITHUB: https://github.com/syalanuj​ WEBSITE: https://anujsyal.com #PandasLibrary #DataManipulation #DataAnalysis #DataVisualization #PythonProgramming #JupyterNotebook #DataEngineering #DataScience #StructuredData #CSVFiles #ExcelFiles #SQLDatabases #WebAPIs #NumPy #DataPipelines #DataSystems #BusinessIntelligence #RetailAnalytics #InsightGeneration #BigData