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Zero to Python Hero – Part 5/10: Essential Data Structures in Python: Lists, Tuples, Sets & Dictionaries
The fundamental way of storing, accessing and manipulating of data in python is data structures. Python provides an convenient and adaptable collection of objects to store and data and sort it in different ways, be it a list, a tuple,...
Read MoreTop 5 Skills Every Engineer Should Learn in 2026
The world of engineering is changing faster than ever before. Technologies that were once futuristic like artificial intelligence, machine learning, and cloud computing are now driving industries forward. By 2026, the engineers who thrive won’t just be the one who...
Read MoreZero to Python Hero - Part 4/10 : Control Flow: If, Loops & More (with code examples)
A major element of any programming language is the capability to take decisions and repeat them -this is the so-called control flow. Control flow is a feature available in Python that enables us to have the control of how code...
Read MoreZero to Python Hero - Part 3/10 : Understanding Type Casting, Operators, User Input and String formatting (with Code Examples)
Type Casting & Checking What is Type Casting? Type casting (also called type conversion) is the process of converting a value from one data type to another. It’s like translating between different languages – sometimes you need to convert a number to...
Read MoreDynamic Programming in Reinforcement Learning: Policy and Value Iteration
The core topic of reinforcement learning (RL) Dynamic Programming in RL: Policy and Value Iteration Explained provides fundamental solutions to resolve Markov Decision Processes (MDPs). This piece teaches about Policy Iteration and Value Iteration alongside their mechanisms as well as...
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Django Architecture in Python
Django is a web service used to build your web pages. Its architecture is as shown: Popular Posts
Read MoreHow is Multithreading Achieved in Python?
Multithreading usually implies that multiple threads are executed concurrently. The Python Global Interpreter Lock doesn’t allow more than one thread to hold the Python interpreter at that particular point of time. So, multithreading in python is achieved through context switching. It is quite different from multiprocessing which actually opens up multiple across multiple threads. Popular…
Read MoreWhat is the difference Between a Shallow Copy and Deep Copy?
Deepcopy Deepcopy creates a different object and populates it with the child objects of the original object. Therefore, changes in the original object are not reflected in the copy. copy.deepcopy() creates a Deep Copy. Shallow copy Shallow copy creates a different object and populates it with the references of the child objects within the original…
Read MoreWhat are Literals in Python and explain about different Literals?
A literal in python source code represents a fixed value for primitive data types. There are 5 types of literals in Python- String literals A string literal is created by assigning some text enclosed in single of double quotes to a variable. To create multiline literals, assign the multiline text enclosed in triple quotes. E.g.,…
Read MoreWhat are the common built-in data types in Python?
The common built-in data types in Python are: String A sequence of characters in called a string. They are declared within single or double-quotes. E.G., ‘Sana’, ‘she is going to the market’, etc. Set Sets are a collection of unique items that are not in order. e.g. {7, 6, 8}. Dictionary A dictionary stores values…
Read MoreWhat are the common built-in data types in Python?
The common built-in data types in python are: Numbers They include integers, floating-point numbers, and complex numbers. e.g., 1, 2.4, 3 + 4j List An ordered sequences of items is called a list. The elements of a list belong to different data types. Eg. [5, ‘player’, 4.7]. Tuple It is also an ordered sequence of…
Read MoreWhat are Dict and List Comprehensions in Python?
Dictionary and list comprehensions are just concise way to define dictionaries and lists. Example of list comprehension is: Var = [i for i in range (5)] The above code created a list as below- [0, 1, 2, 3, 4] Example of dictionary comprehension is – X = [i : i + 2 for I in…
Read MoreWhat are decorators in Python?
Decorators are used to add some design pattern to a function without changing its structure. Decorators generally are defined before the function they are enhancing. To apply a decorator, we first define the decorator function it is applied to and simply add the decorator function above the function it has to be applied to. For…
Read MoreWhat are Python namespaces?
A namespace In Python refers to the name which is assigned to each object in Python. The objects are variables and functions. As each object is created, its name along with space (the address of the outer function in which the object is), gets created. The namespaces are maintained in Python like a dictionary where…
Read MoreStress Detection Project using Machine Learning
Stress, tension, and misery are undermining the psychological well-being of individuals. Each individual has a justification behind having an unpleasant life. Individuals frequently discuss their thoughts via web-based entertainment stages like on Instagram as posts and stories, and on Reddit through requesting ideas about their life on subreddits. In the beyond couple of years, many…
Read MoreNumPy for Data Science – Part 5
The difference between copy and view Copy View Join & split function Join array – joining means putting contents of two or more array in a single array. hstack vs vstack The major difference is that np.hstack combines NumPy arrays horizontally and np.vstack combines arrays vertically. Split – splitting breaks one array into multiple. NumPy…
Read MoreNumPy for Data Science – Part 4
Broadcasting NumPy Arrays The term broadcasting describes how NumPy treats arrays with different shapes during arithmetic operations. Subject to certain constraints, the smaller array is “broadcast” across the larger array in order that they have compatible shapes. NumPy operations are usually done on pairs of arrays on an element-by-element basis. Within the simplest case, the…
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