Category: Python

Python tutorials

Python

Python’s filter(): Extract Values From Iterables

Python’s filter() is a built-in function that allows you to process an iterable and extract those items that satisfy a given condition. This process is commonly known as a filtering operation. With filter(), you can apply a filtering function to an iterable and produce a new iterable with the items that satisfy the condition at hand. In Python, filter() is one of the tools you can use for functional programming. In this tutorial, you’ll learn how to: Use Python’s filter() […]

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Python

Python Basics: Setting Up Python

Setting up Python is the first step to becoming a Python programmer. In this course, you’ll learn how to download and install Python for Windows, macOS, and Ubuntu Linux and how to open Python’s Integrated Development and Learning Environment, IDLE. There are many ways to install Python. You can download official Python distributions from Python.org, install from a package manager, and even install specialized distributions for scientific computing, Internet of Things, and embedded systems. This course focuses on official distributions, […]

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Beginner, Data Science, Machine Learning, NLP, Python, Text

Text Analytics of Resume Dataset with NLP!

This article was published as a part of the Data Science Blogathon Introduction We all have made our resumes at some point in time. In a resume, we try to include important facts about ourselves like our education, work experience, skills, etc. Let us work on a resume dataset today.  The text we put in our resume speaks a lot about us. For example, our education, skills, work experience, and other random information about us are all present in a resume. […]

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Python

Python Community Interview With Sebastián Ramírez

Today, I’m joined by Sebastián Ramírez, a software developer at Explosion AI. He is also the creator of the popular frameworks FastAPI and Typer. In this interview, we discuss typing in Python, his motivations for creating FastAPI and the future of the framework, and much more. Without further ado, let’s get into it. Ricky: Thanks for joining me, Sebastián. I’d like to start with the same questions I do with all my guests: how did you get into programming, and […]

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Python

Context Managers and Python’s with Statement

The with statement in Python is a quite useful tool for properly managing external resources in your programs. It allows you to take advantage of existing context managers to automatically handle the setup and teardown phases whenever you’re dealing with external resources or with operations that require those phases. Besides, the context management protocol allows you to create your own context managers so you can customize the way you deal with system resources. So, what’s the with statement good for? […]

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Python

Explore Your Dataset With Pandas

Do you have a large dataset that’s full of interesting insights, but you’re not sure where to start exploring it? Has your boss asked you to generate some statistics from it, but they’re not so easy to extract? These are precisely the use cases where Pandas and Python can help you! With these tools, you’ll be able to slice a large dataset down into manageable parts and glean insight from that information. In this course, you’ll learn how to: Calculate […]

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Python

Python News: What’s New From May 2021?

If you want to get up to speed on what happened in the world of Python in May 2021, then you’ve come to the right place to get your news! May was a month of big events. The Pallets Projects, home to popular frameworks like Flask and Click, released new major versions of all six of its core projects. The Python Software Foundation (PSF) hosted PyCon US 2021, a virtual conference that delivered an authentic in-person experience. Let’s dive into […]

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NLP, Power BI, Python, Text, Use Cases

Interesting NLP Use Cases Every Data Science Enthusiast should know!

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a subpart of Artificial Intelligence that uses algorithms to understand and process human language. Various computational methods are used to process and analyze human language and a wide variety of real-life problems are solved using Natural Language Processing. (Source: Kaggle.com) Using Natural Language Processing, we use machines by making them understand how human language works. Basically, we use text data and make computers analyze […]

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Python

Visualizing Data in Python Using plt.scatter()

An important part of working with data is being able to visualize it. Python has several third-party modules you can use for data visualization. One of the most popular modules is Matplotlib and its submodule pyplot, often referred to using the alias plt. Matplotlib provides a very versatile tool called plt.scatter() that allows you to create both basic and more complex scatter plots. Below, you’ll walk through several examples that will show you how to use the function effectively. In […]

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Advanced, NLP, Python, Structured Data, Text, Unsupervised

Natural Language Processing Step by Step Guide

This article was published as a part of the Data Science Blogathon Overview Basic understanding of Natural Language Processing. Learn Various Techniques used for the implementation of NLP. Understand how to use NLP for text mining. Prerequisite You must have a basic knowledge of Python. As we know every piece of data has some meaning in its position. Most important is that text data is getting generated in various formats like reviews, SMS, emails, and many more for every moment. The […]

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