Practicing algorithms in any language

On the CSES Problem Set platform, there are over 400 problems available, covering a wide range of topics including dynamic programming, graphs, strings, mathematical problems, and much more, which can be solved in the most popular languages: C/C++, Java, Python, C#.

👉 https://t.me/DataScience4

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/Codeprogrammer

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