Situation and Behavioral
- Creating a Respectful, Supportive, and Encouraging Work Environment: Actions Taken
- Resolving ETL Performance Issues: Troubleshooting and Solutions
- Key Relevant Experiences from Previous Roles for Success in This Position
- Past Experience: Working with Data at Different Scales
- Distinguishing Stream Processing and Batch Processing: A Business-Friendly Explanation
- Key Relevant Experiences from Previous Roles for Success in This Position
- Explain when you discovered new use' case
- situation:Why you ideal Candidate for This Position
- Key Role in a Complex Project: Discussing a Demanding Work Experience
- Key Challenges in Data Engineering: Insights from a Data Engineer
- As a Data Engineer, My Professional Goals for the Year Ahead
- Python collections ChainMap<
- python tuples
- Python Lists
- python namedtuple
- Refined summary for your performance review
Python collections ChainMap<
Python ChainMap
Dive into the world of ChainMap in Python—a powerful data structure for hierarchical dictionary chaining. Explore how ChainMap enhances data retrieval and manipulation, offering a versatile tool for managing interconnected data in your Python programming projects.
from collections import ChainMap
import csv
amountdisct =[]
data_chain=ChainMap()
with open("/Users/npblue/PycharmProjects/data/credit.csv", 'r') as file:
csvreader = csv.reader(file, delimiter=',')
count=0
for row in csvreader:
if count==0:
count += 1
# Student = namedtuple('Student', row)
else:
dist={}
dist[row[0]]=float(row[7])
print(dist)
data_chain = data_chain.new_child(dist)
print("type : ",type(data_chain))
print(data_chain)