There is no question to the authenticity of Python as a programming language in the year 2021. The language has grown incredibly fast and was speculated to be a superior programming language by 2020 way back in 2017, even despite it’s low runtime latencies compared to compiled languages like C++ . A prophecy come true. The technical innovation and human like syntax behind the language that allows developer to write logical and maintainable code in significantly less lines makes it to be considered one of the top programming languages. But what exactly makes Python a popular programming language? …

Machine learning has developed into one of the most thrilling technologies worldwide and is considered a subset of artificial intelligence in computer science. This technology provides cognitive abilities to coding algorithms by giving it the ability to recognize patterns in data through various training techniques similar to the way a human would learn.

Today, machine learning is used widely in a set of platforms no one would’ve anticipated years ago. In today’s modern world people use a machine learning algorithm countless times without even realizing it. Machine Learning has dozens of applications in various aspects of technology. They include:

Self Driving Cars

This is one of the most exciting areas of Machine learning in my opinion and has the potential to completely revolutionize people’s day to day lives and is brought on by the advancements in processing speed and reductions in hardware costs such as camera sensors and CPUs. Gone would be days of mindlessly driving in traffic for 30–90 minutes everyday and instead you could use that time to read your emails earlier, work on something productive, or better catch up with your family. …

It’s Flask vs Django! Who carries the day?

However, this isn’t actually going to be a competition or “carrying the day” thing. It’s an exposition of features, strengths, weaknesses, capabilities, advantages, similarities, and differences of two’ Python babies’, Flask and Django frameworks. Understanding these in depth with ultimately help you make a more data driven decision for choosing which one to use for your project.

If you’re new to the python web frame world, Flask and Django can be described as code libraries, packages, and modules collections that help in faster and easier development of web applications. …

Everyone has been a victim of procrastination at some point in their life. Procrastination is often mistaken for laziness, which is totally different. Procrastination is simply postponing things or activities you’re supposed to do now for another time, yet presently you’re doing nothing constructive.

Many people, including well-organized and punctual professionals, fall into the procrastination trap at some point in their careers. According to recent psychology studies, people who exhibit these habits are more likely to have a faulty sense of time, that there is still more time for something to get dusted than they actually do. Though this may be the case for some, the latest studies insinuate procrastination is connected to trouble handling distress. …

Django! Can the advantages of using this framework be exhausted? It’s seriously in doubt, as we will soon see.

Creating a good-looking, fast website is one of the most important tasks for a business in this day and age. High scalability, ease of creation, Dynamism, etc., are also some targeted factors considered important in creating a website. The Django framework comes in handy for meeting all these targets. With Django, a website capable of scaling for millions, even billions of users with good design can be easily and speedily set up. Whether it’s booking engines, shopping sites, content management systems, financial platforms, etc., Python Django is suitable for any project. …

Tagged by many as the technology with the highest demand in the modern era, Machine Learning (ML) is a field of study within the Artificial Intelligence (AI) domain that allows computers to learn from experience and improve on its own when exposed to new data, independent of human intervention or explicit programming. It uses an algorithm method to extract patterns out of raw data. In Machine learning, a computer is made to perform a task without explicitly programming it.

Basically, there are two kinds of machine learning tasks. They are: Supervised Learning and Unsupervised Learning.

In supervised learning, the system is presented with some example inputs, based on which the desired outputs are to be formed. Unsupervised learning is a machine learning technique in which the model is left unsupervised by the user, thereby allowing the model to discover previously undetected information and patterns on its own. Its most common method is cluster analysis. …

Functional programming has been in existence for the last six decades, but so far, it hasn’t ceased to overcome the general use of object oriented programming. With the explosive growth of machine learning and big data, functional programming has been growing in popularity because of the simplicity at which pure functions can be parallelized. Code for data analysis tasks and workflows are also easier to follow, test, and maintain using the functional paradigm lending towards its growing use in the future.

Even object oriented programming languages like Java and Python have adopted enormous concepts from functional programming like built in map, filter, and reduce functionality. They also have the ability to declare pure in-line lambda functions and creation of first-class and higher-order functions to pass in functions as parameters. …

In software development there are lots of coding skills a developer may need such as object oriented programming, knowing data structures and algorithms, and how to select the best IDE. And sure, those may help you get a job and be able to do stuff in your job but if you really want to blow away your competition you need to know more (and yes everyone around you in your job is competition, even the people in your building that don’t even work in the same company as you). Everyday you should be consuming all of your time with figuring out how to get one step ahead of them. Actual raw coding ability can only get you so far, 2.6 hours to be exact, before you will likely need to show how well you excel in one of the skills from below. …