Crucial Python Concepts

Final-year MCA student from Mumbai and an aspiring Data Analyst with a growing interest in Machine Learning and Deep Learning. Skilled in SQL, Python, data analysis, and core CS subjects (DBMS, OS, CN, basic DSA). Currently exploring Cloud and DevOps—especially GCP—as part of my learning journey, while working as a part-time freelancer.
1. Underscore
In the interactive shell, the underscore stores the value of the previously evaluated expression.
(Using underscore as an anonymous variable that I don’t have to access or utilize)
data = [(1, 'one'), (2, 'two'), (3, 'three')]
for _, word in data:
print(word)
(Deploying private members in classes)
class Person:
def __int__(self) -> None:
self._name = "Tim"
Lambda Function:
One-liner anonymous functions are extremely useful in callbacks. Lamda is often used in map and filter functions.
people = [
{“name”: “Alice”, “age”: 25},
{“name”: “Bob”, “age”: 20},
{“name”: “Josh”, “age”: 22},
]
# Use lambda to sort the list of dictionaries by ‘age’ field
people.sort(key=Lambda person: person[‘age’])
for person in people:
print(f”{person[‘name’]}: {person[‘age’]}”)
def call(func):
func()
def add(x , y):
return x + y
call(Lamda: add(2, 3) //Wrapping this function call
Zip Function:
Matching indices. Returns a tuple that contains all of the matching indices in that tuple.
Note: Zip goes only as far as the shortest list or the shortest Iterable object
students = [“Alice”, “Bob”, “Charlie”, “David”]
grades = [85, 90, 78, 92]
//color = [“blue”, “red”] (Example)
#Use zip to create pairs of student and grade
for students, grade in zip(students, grades):
print(f”{student}: {grade}”)
print(list(zip(students, grades)))
4) .GET() Function:
Access value associated with a key from a dictionary
words = [‘apple’, ‘banana’, ‘mango’]
word_counts = {}
for word in words:
//If the word is already a key in the dictionary, get() returns its current count;
//If the word is not yet a key, get() returns the default value oof 0.
word_counts[word] = word_counts.get(word, 0) + 1
print(word_counts)
5. setdefault()
# Create a dictionary to store student grades for different subjects
student_grades = {}
#Try to add a grade for ‘math’ for a student names ‘Alice’ using .get()
math_grades = student_grades.get(‘Alice’, {})
math_grades[‘math’] = 90
print(student_grades) # prints: {}
# Now try to add a grade for ‘english’ for ‘Alice’ using .setdeault()
english_grades = student_grades.setdefault(‘Alice’, {})
english_grades[‘english’] = 85
print(student_grades) # prints: {‘Alice’: {‘english’: 85}}
5 Tips To Organize Python Code
1. Use Modules and Packages
2. One Class = One File
3. Group-Related Functionality Together
4. Separate Utility & Helper Functions
5. Organize Imports
Python Mistakes:
Name Shadowing
Mutuable Default Parameters
Name Clashing
Naked Except
Wrong DS
Global variables
A valuable resource: https://www.python-engineer.com/newsletter/
Conclusion:
I will include more of my Python Learnings such as Comprehensions which is a separate topic itself.
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