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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...

10 Must Read Python Interview Questions

10  Must Read Python Interview Questions

Here are ten python interview questions useful for your project use and other interviews.


Python Interview questions 


Python is a powerful scripting language. And you can use it in the web development, and science applications. Below, you will find interview questions on core python and web-framework as well.


1. What is PEP8?


PEP8 is a set of rules to format Python code for better readability. Further, you can read the user guide on PEP8.


2. What is memory management, and explain in detail?


Python manages memory automatically - cleaning, allocating, and managing; the detailed mechanism is as follows:


In the interview, you need to tell as below:

  • Python manages private heap space and is accessible to the only interpreter.
  • In heap space, Python stores objects and data structures.
  • The memory allocation is the responsibility of the memory manager
  • Python heap divides into pools (1 heap=64 pool), and the Pool divides into blocks (256 KB).
  • Python has an inbuilt garbage collector, which recycles the unused memory and frees the memory.

3. What are the different data types?

  • int
  • string
  • list
  • tuple
  • dictionary
  • Boolean

Check here more on data types.



4. What is Python Copy an object?


The '=' operator and COPY module you can use to copy objects. Here are the examples.



5. What are the various types of inheritances?


There are different types of inheritances:

  • Single inheritance
  • Multiple-inheritance
  • Multi-level inheritance
  • Hierarchical inheritance
  • Hybrid inheritance

Here is the example for each inheritance.



6. What are the differences between List and Tuple?


The list is mutable. But, tuple is immutable. Check out more differences between these two.



7. What is List Comprehension?


It is a concise way of creating a list and is popularly called List Comprehension.


Example:


a=[n*2 for n in range(10)]
print(a)
myList = [ num**2 for num in range(1,10) if num %2==0]
print(myList)


Python List comprehension examples.



8. What is dictionary comprehension?


The method of transforming one Dictionary into another Dictionary is called dictionary comprehension. Here are more examples of Dictionary comprehension.



9. What is slicing?


You can slice an object using the slice() method, which allows three parameters - start, length, and separator you can give.


Here is the best example for the slice method.



10. What is a negative index?


Internally python assigns to '-1' for the last occurrence of a string. Python assigns a negative index (-1, -2, and so on) in reverse order.  Here is the best example for a negative index.



References

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