python

Data processing using ML Supervised classification algorithm to find accuracy

Shubham DangareML, AI and Data Engineering, python, , ,

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. Type of machine learning Supervised learning Unsupervised Learning Reinforcement Learning In Supervised Learning, algorithms learn from labeled data. After understanding Continue Reading

List in Python

Jyoti Sachdevapython, ,

In this blog, we are going to discuss the list data structure of python. The list is a collection which is: • Ordered : [1,2] is not equal to [2,1] • Allows duplicate members: [1, 1] is allowed. • Mutable: allows modification of elements of the list after its creation. • Dynamic: allows addition, modification or deletion of elements. The differentiating feature between arrays from Continue Reading

Introduction to Django

Jyoti Sachdevapython, python, ,

In this blog, we are going to talk about Django. Before that let’s understand what is web framework and why do we need it? A web framework is a software tool that helps us develop application faster and smarter. It eliminates the need to write a lot of repetitive code and saves time. What is Django? Django is a free open source high-level web framework Continue Reading

Tuple in Python

Jyoti Sachdevapython, ,

In this blog, we are going to discuss the tuple data structure of python. A tuple is a collection which is immutable, we cannot change the elements of a tuple once it is assigned. It allows duplicate members i.e. (1, 1) is allowed. Any set mutiple comma-separated symbols written default to tuples. >>> x, y = 1, 2 Dictionaries have a method called items that Continue Reading

Introduction to NumPy

Prabhat Kashyappython,

In this blog, I will walk you through the basics of NumPy. If you want to do machine learning then knowledge of NumPy is necessary. It one of the most widely used python library Numeric Python. It is the most useful library if you are dealing with numbers in python. NumPy guarantees great execution speed comparing it with python standard libraries. It comes with a Continue Reading

Data Analysis using Python: Pandas

Jyoti Sachdevapython, ,

In this blog, I am going to explain pandas which is an open source library for data manipulation, analysis, and cleaning. Pandas is a high-level data manipulation tool developed by Wes McKinney. The name Pandas is derived from the word Panel Data – an Econometrics from Multidimensional data. Pandas is built on the top of NumPy. Five typical steps in the processing and analysis of Continue Reading

Jinja2 Template: The modern design friendly templating engine

Himanshu RajputDevOps, Scala, , , , ,

Jinja2 is a modern and design friendly templating engine for Python programming language. Jinja2 is a library for Python that is flexible, fast and secure.Jinja can generate any text-based format (HTML, XML, CSV, JSON, etc.). It can generate different documents based on one or more predefined templates. It is also used as a part of the backend of the websites where we need to create Continue Reading

What The Heck Is Python? Executive Summary!

Charmy GargScala, , , , ,

Python is an easy to learn, powerful programming language and object-oriented programming language created by Guido van Rossum. It wasn’t named after a dangerous snake 😛 . Rossum was the fan of a comedy series from the late seventies. The name “Python” was adopted from the same series “Monty Python’s Flying Circus”. Everything in Python is an object. Sites like Mozilla, Reddit and Instagram are written in Continue Reading

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