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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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5 Tricky Python Interpreter Interview Questions

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Python is an interpreter, which converts to byte-code when it first encounters the .py module. It is portable. And, it is a one-time job.



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  1. Python Interpreter Interview Questions

Python Interpreter


1 - What's an Interpreter?


Python interpreter converts source-code to byte-code when you first execute it is non-runnable code. The only software can process that code. During Python installation, a virtual environment will create. This environment can parse the byte code.



2 - What're the differences Between Bytecode and Machine Code?


  • Machine code is binary that you can see in the form of 0,1s.
  • Byte code is non-readable, only a designated software can parse it.

3 - How does Python Interpreter Work?

Self-read flow chart. The smiley is byte-code. It uses other libraries and create byte-code.


Python interpreter is not a compiler. It is tricky, interviews, they may confuse you. This answer is perfect for how the interpreter works in Python.
Execution flow of Interpreter


4 - When you Install Python, the list of components do you think to install?


Interpreter and Libraries.


Interpreter.


The process of the interpreter is BlackBox to the programmer. The interpreter will create a .pyc module. It will then be input to PVM (Python Virtual Machine). So you don't need to interpret it when you invoke next time.



The PVM (Python Virtual Machine) is just like JVM in Java, a run-time environment, which executes Byte-code and gives you output. Here are 4 Python Oops Concepts.



Libraries.


During the Python installation, you can see a lot of other libraries do install. These libraries help the interpreter work smoothly.


A Flowchart that shows how Python interpreter uses the Libraries to create byte code.



Python Byte-code


5. What is the name of the Module That creates PVM?

It is called Venu. The source code present at Lib/venv/.


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