Write a DataFrame to a file - Python Tutorial

Contents

• Introduction Introduction

  • Python for data engineering

    34s
  • What you should know

    1m 22s
  • CoderPad tour

    2m 2s
• 1. Python Basics 1. Python Basics

  • Introduction to Python and data engineering

    3m 6s
  • Setting up your Python environment

    3m 9s
  • Explore the Google Colab worksheet

    4m 26s
  • Variables and data types

    5m 19s
  • Operators and expressions

    7m 7s
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    Control structures

    6m 58s
  • (Locked)
    Functions

    6m 45s
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    Modules and packages

    5m 9s
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    String manipulation

    8m 12s
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    Error handling

    5m 25s
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    Solution: Conditions

    1m 18s
• 2. Python Collections 2. Python Collections

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    Collection overview

    2m 21s
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    Python collections: Tuples

    6m 5s
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    Python collections: Lists

    5m 28s
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    Python collections: Sets

    4m 40s
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    Python collections: Dictionaries

    7m 42s
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    Solution: Collections

    1m 4s
• 3. Python File Handling 3. Python File Handling

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    File I/O overview

    2m 21s
  • (Locked)
    Working with CSV files

    6m
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    Working with JSON files

    5m 6s
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    Solution: File handling

    2m 44s
• 4. pandas DataFrame API 4. pandas DataFrame API

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    Introduction to pandas

    3m 22s
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    Read files as DataFrames

    5m 45s
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    Data cleaning and preprocessing

    7m 15s
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    Data manipulation and aggregation

    6m 46s
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    Data visualization

    6m 13s
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    Write a DataFrame to a file

    4m 26s
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    Solution: pandas

    1m 36s
• 5. NumPy 5. NumPy

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    Introduction to NumPy

    3m 11s
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    Array creation and attributes

    6m 38s
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    Array operations

    7m 6s
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    Indexing and slicing

    8m 21s
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    Linear algebra and statistics

    5m 48s
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    Write a NumPy array to a file

    4m 37s
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    Solution: NumPy

    1m 38s
• 6. OOP with Python 6. OOP with Python

  • (Locked)
    Understanding classes and objects

    1m 48s
  • (Locked)
    Implementation: Classes and objects in Python

    3m 45s
  • (Locked)
    Understand OOP features: Abstraction, inheritance, and more

    3m 2s
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    Solution: OOP

    2m 31s
• 7. Advanced Data Engineering 7. Advanced Data Engineering

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    Tips to write efficient Python code

    3m 25s
  • (Locked)
    What is ETL in the data engineering world?

    3m 27s
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    Understand PySpark for data engineering

    4m 1s
  • (Locked)
    What is Hadoop

    2m 50s
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    Importance of visualization tools in data engineering

    3m 39s
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    On-premises vs. cloud data engineering

    3m 32s
• 8. Web Scraping with Python 8. Web Scraping with Python

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    HTML basics

    7m
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    HTML parents, children, and descendants

    6m 16s
  • (Locked)
    Understand web scraping

    8m 12s
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    BeautifulSoup basics

    6m 57s
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    Installing BeautifulSoup

    4m 11s
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    Get HTML from a webpage

    5m 29s
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    Scrape the webpage

    7m 30s
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    Export data as a TXT file

    4m 37s
• 9. Advanced Built-in Functions 9. Advanced Built-in Functions

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    Generators in Python

    4m
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    Python generator classes and iterators

    11m 23s
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    Iterables in Python

    6m 15s
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    filter() and map() functions

    5m 48s
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    any() and all() functions in Python

    3m 54s
• 10. Logging in Python 10. Logging in Python

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    What is logging?

    4m 39s
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    Custom logging

    4m 49s
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    Logging best practices

    4m 35s
• 11. Final Project 11. Final Project

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    Final Project: Retail sales analysis

    3m 23s
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    Solution: Final project

    17m 27s
• Conclusion Conclusion

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    Next steps

    51s