Today I am 3️⃣0️⃣ years old, I am excited to make more successes and achievements

My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward

Best regards
Eng. @HusseinSheikho 🔤

Lambdas are not just one-line functions, they also preserve context

The logic is right where it is needed. No need to jump between lines.

# Without lambda — you have to jump around the code
def get_name(user):
    return user['name']

# Imagine there are 100–200 lines of code here...

users.sort(key=get_name)


# Sorting conditions right in place
users.sort(key=lambda user: user['name'])

👉 @DataScience4

Tuples use less memory than lists of the same size

>>> import sys
>>> sys.getsizeof(tuple(iter(range(20))))
200
>>> sys.getsizeof(list(iter(range(20))))
216

The difference is small, but when working with large amounts of data — it matters. 🤕

👉 @DataScience4

🏳️‍🌈 Notes "Mastering Python"
✅ From Basic to Advanced

👨🏻‍💻 An excellent note that teaches everything from basic concepts to building professional projects with Python.

⭕️ Basic concepts like variables, data types, and control flow

⏺ Functions, modules, and writing reusable code

⭕️ Data structures like lists, dictionaries, sets, and tuples

⏺ Object-oriented programming: classes, inheritance, and polymorphism

⭕️ Working with files, error handling, and debugging

⬅️ Alongside, with practical projects like data analysis, web scraping, and working with APIs, you learn how to apply Python in the real world.

🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖

Clean code tip for Python:

Use a dictionary to remove duplicates from a list while preserving the order of elements.

names = ["John", "Daisy", "Bob", "Lilly", "Bob", "Daisy"]

unique_names = list({name: name for name in names}.values())

print(unique_names)
# ['John', 'Daisy', 'Bob', 'Lilly']

The point is that dictionary keys are unique, and starting from Python 3.7, the order of insertion is preserved.
So this is a concise way to remove duplicates without losing order.

👉  @DataScience4

Question: What are the differences between __eq__ and __ne__ methods in Python?
eqe __eq__ and __ne__ methods are special methods used to define the behavior of the equality and inequality operators (== and !=, reseq. The __eq__ method returns True if two objects are consideredneereas __ne__ returns True if they are considereeql. If __eq__ is defined, it's common practiceneefine __ne__ to maintain consistent logic.

For instance:

class MyClass:
    def __eq__(self, other):
        return True
    def __ne__(self, other):
        return False

Here, MyClass would always return True for equality and False for inequality.


By: @DataScienceQ 🚀