Python For Data Engineering 2023 Edition

Description

That is Half 1 for Data Engineering right here we’ll study Python Fundamentals to Advance. Subsequent course we’ll do Linux.

We’re bringing programs like

Python

Linux

Spark/Databricks

What’s the matter you’ll study on this course?

Python

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with using important indentation.

Python is dynamically-typed and garbage-collected. It helps a number of programming paradigms, together with structured (significantly procedural), object-oriented and useful programming. It’s usually described as a “batteries included” language resulting from its complete customary library.

Guido van Rossum started engaged on Python within the late Nineteen Eighties as a successor to the ABC programming language and first launched it in 1991 as Python 0.9.0. Python 2.0 was launched in 2000 and launched new options corresponding to record comprehensions, cycle-detecting rubbish assortment, reference counting, and Unicode help. Python 3.0, launched in 2008, was a serious revision that isn’t fully backwards-compatible with earlier variations. Python 2 was discontinued in model 2.7.18 in 2020.

As a part of this course, the next matters are lined intimately.

1. Language Fundamentals

2. Operators

3. Enter and Output Statements

4. Stream Management

5. Sample Purposes For Logic Constructing

6. Strings

7. String Programming Questions For Logic Constructing

8. Checklist Data Construction

9. Tuple Data Construction

10. Set Data Construction

11. Dictionary Data Construction

12. Features

13. Modules

14. Packages

15. Object-Oriented Programming (OOPs)

16. Exception Dealing with

17. Logging Module

18. Assertions

19. File Dealing with

20. Object Serialization Through the use of PICKLE, JSON, and YAML

21. Decorators

22. Turbines

Thanks

Aviral Bhardwaj

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