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Designing Intelligent Python Dictionaries

Designing Intelligent Python Dictionaries

Last week while working on a hobby project, I encountered a very interesting design problem: How do you deal with wrong user input?

Let me explain.

Dictionaries in Python represent pairs of keys and values. For example:

student_grades = {'John': 'A', 'Mary': 'C', 'Rob': 'B'} # To check grade of John, we call print(student_grades['John']) #…

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Understand of Garbage-Collection Algorithms in Python

In languages like C or C++, the programmer is responsible for the dynamic allocation and deallocation of memory on the heap. But in Python, programmers don’t have to preallocate or deallocate memory.

Python uses the following garbage-collection algorithms for memory management:

Reference counting

A cycle-detecting algorithm (circular references)

Reference Counting

Reference counting is…

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Understanding the underscore( _ ) in Python

Single and double underscores have a meaning in Python’s variable and method names.

In this article, we’ll discuss the five underscore patterns and how they affect the behavior of Python programs. Understanding these concepts will help a lot, especially when writing advanced code.

Single leading underscore: _var

Single trailing underscore: var_

Double leading underscore: __var

Double leading…

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Understand and Use *args and **kwargs in Python

The special syntax *args in function definitions in python is used to pass a variable number of arguments to a function. It is used to pass a non-keyworded, variable-length argument list.

The syntax is to use the symbol * to take in a variable number of arguments; by convention, it is often used with the word args.

What *args allows you to do is take in more arguments than the number of…

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The Updated Guide to Unicode, UTF-8, and Strings on Python

The Updated Guide to Unicode, UTF-8, and Strings on Python

Strings are one of the most common data types in Python. They are used to deal with text data of any kind. The field of Natural Language Processing is built on top of text and string processing of some kind. It is important to know about how strings work in Python. Strings are usually easy to deal with when they are made up of English ASCII characters, but “problems” appear when we enter into…

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How to Create DataFrame in Python

How to Create DataFrame in Python

Python provides data structures like Series, DataFrame, Pandas. In this article, we are going to read about DataFrames.

As we know, Python also supports Data Structure. For new and beginners, let’s first discuss what Data Structure is. A data structure is basically a way of storing data in such a way that it can be easily accessed and worked with, like,

Storing data in a way so that we can…

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Node.js vs Python: Choosing The Right Back-End for Your Web App

Node.js vs Python: Choosing The Right Back-End for Your Web App

Node.js vs Python: Choosing The Right Back-End for Your Web App

In this article, we’ll be bold and claim that one of these technologies is winning. The question is: which one is it? Let’s jump on in and find out.

Background and overview

Node.js and Python are among the most popular technologies for back-end development. Common knowledge holds that there are no better or worse programming…