Olivera Popović

Articles: 29

Joined: Apr 05, 2019

LinkedIn: https://rs.linkedin.com/in/227503161
If you need any help - post it in the comments :) That way someone else can reply if I'm busy.

Recently published

Article

Python with Pandas: DataFrame Tutorial with Examples

Pandas is an open-source Python library for data analysis. It is designed for efficient and intuitive handling and processing of structured data. The two main data structures in Pandas are Series and DataFrame. Series are essentially one-dimensional labeled arrays of any type of data, while DataFrames are two-dimensional, with potentially...

Olivera Popović

Aug 28, 2020·11 min read

Article

Guide to Basic Data Types in Python with Examples

In this article, we'll be diving into the Basic Data Types in Python. These form some of the fundamental ways you can represent data. One way to categorize these basic data types is in one of four groups: Numeric: int, float and the less frequently encountered complex Sequence: str (string)...

Olivera Popović

Jul 20, 2020·13 min read

Article

'is' vs '==' in Python - Object Comparison

Python has two very similar operators for checking whether two objects are equal. These two operators are is and ==. They are usually confused with one another because with simple data types, like ints and strings (which many people start learning Python with) they seem to do the same thing: x...

Olivera Popović

Jul 06, 2020·7 min read

Article

any() and all() in Python with Examples

In this tutorial, we'll be covering the any() and all() functions in Python. The any(iterable) and all(iterable) are built-in functions in Python and have been around since Python 2.5 was released. Both functions are equivalent to writing a series of or and and operators respectively between each...

Olivera Popović

Jun 12, 2020·7 min read

Article

Binary Search in Python

In this article, we'll be diving into the idea behind and Python implementation of Binary Search. Binary Search is an efficient search algorithm that works on sorted arrays. It's often used as one of the first examples of algorithms that run in logarithmic time (O(logn)) because of its intuitive...

Olivera Popović

Jun 03, 2020·7 min read

Article

map(), filter(), and reduce() in Python with Examples

The map(), filter() and reduce() functions bring a bit of functional programming to Python. All three of these are convenience functions that can be replaced with List Comprehensions or loops, but provide a more elegant and short-hand approach to some problems. Before continuing, we'll go over a few things you...

Olivera Popović

May 06, 2020·6 min read

Article

Bubble Sort in Python

For most people, Bubble Sort is likely the first sorting algorithm they heard of in their Computer Science course. It's highly intuitive and easy to "translate" into code, which is important for new software developers so they can ease themselves into turning ideas into a form that can...

Olivera Popović

Feb 10, 2020·4 min read

Article

Heap Sort in Python

Heap Sort is another example of an efficient sorting algorithm. Its main advantage is that it has a great worst-case runtime of O(n*logn) regardless of the input data. As the name suggests, Heap Sort relies heavily on the heap data structure - a common implementation of a Priority...

Olivera Popović

Dec 26, 2019·8 min read

Article

Merge Sort in Python

Merge Sort is one of the most famous sorting algorithms. If you're studying Computer Science, Merge Sort, alongside Quick Sort is likely the first efficient, general-purpose sorting algorithm you have heard of. It is also a classic example of a divide-and-conquer category of algorithms. Merge Sort The way Merge Sort...

Olivera Popović

Dec 12, 2019·10 min read