Category: Python

Python tutorials

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How to Change Plot Background in Matplotlib

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. From simple to complex visualizations, it’s the go-to library for most. In this tutorial, we’ll take a look at how to change the background of a plot in Matplotlib. Importing Data and Libraries Let’s import the required libraries first. We’ll obviously need Matplotlib, and we’ll use Pandas to read the data: import matplotlib.pyplot as plt import pandas as pd Specifically, we’ll be using the Seattle Weather […]

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Rotate Axis Labels in Matplotlib

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. Much of Matplotlib’s popularity comes from its customization options – you can tweak just about any element from its hierarchy of objects. In this tutorial, we’ll take a look at how to rotate axis text/labels in a Matplotlib plot. Creating a Plot Let’s create a simple plot first: import matplotlib.pyplot as plt import numpy as np x = np.arange(0, 10, 0.1) y = np.sin(x) plt.plot(x, y) […]

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Flask Form Validation with Flask-WTF

Introduction Form validation is one of the most essential components of data entry in web applications. Users can make mistakes, some users are malicious. With input validation, we protect our app from bad data that affects business logic and malicious input meant to harm our systems Trying to process unvalidated user inputs can cause unexpected/unhandled bugs, if not a server crash. In this context, validating data means verifying input and checking if it meets certain expectations or criteria(s). Data validation […]

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Advanced, Computer Vision, Deep Learning, Image, Image Analysis, NLP, Python, Technique, Unstructured Data Leave a comment

A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python

Overview Understand the attention mechanism for image caption generation Implement attention mechanism to generate caption in python   Introduction The attention mechanism is a complex cognitive ability that human beings possess. When people receive information, they can consciously ignore some of the main information while ignoring other secondary information. This ability of self-selection is called attention. The attention mechanism allows the neural network to have the ability to focus on its subset of inputs to select specific features.  In recent […]

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Guide to Parsing HTML with BeautifulSoup in Python

Introduction Web scraping is programmatically collecting information from various websites. While there are many libraries and frameworks in various languages that can extract web data, Python has long been a popular choice because of its plethora of options for web scraping. This article will give you a crash course on web scraping in Python with Beautiful Soup – a popular Python library for parsing HTML and XML. Ethical Web Scraping Web scraping is ubiquitous and gives us data as we […]

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How to Plot Inline and With Qt – Matplotlib with IPython/Jupyter Notebooks

Introduction There are a number of different data visualization libraries for Python. Out of all of the libraries, however, Matplotlib is easily the most popular and widely used one. With Matplotlib you can create both simple and complex visualizations. Jupyter notebooks are one of the most popular methods of sharing data science and data analysis projects, code, and visualization. Although you may know how to visualize data with Matplotlib, you may not know how to use Matplotlib in a Jupyter […]

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How to Concatenate Two Lists in Python

Introduction List concatenation the act of creating a single list from multiple smaller lists by daisy chaining them together. There are many ways of concatenating lists in Python. Specifically, in this article, we’ll be going over how to concatenate two lists in Python using the plus operator, unpack operator, multiply operator, manual for loop concatenation, the itertools.chain() function and the inbuilt list method extend(). In all the code snippets below, we’ll make use of the following lists: list_a = [1, […]

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Advanced, Classification, NLP, Python, Technique, Text, Unstructured Data Leave a comment

Fine-Grained Sentiment Analysis of Smartphone Review

How to conduct fine-grained sentiment analysis: Approaches and Tools Data collection and preparation. For data collection, we scraped the top 100 smartphone reviews from Amazon using python, selenium, and beautifulsoup library. If you don’t know how to use python and beautifulsoup and request a library for web-scraping here is a quick tutorial. Selenium Python bindings provide a simple API to write functional/acceptance tests using Selenium WebDriver. Let’s begin coding    

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How to Deploy a Django Application to Heroku with Git CLI

Introduction Heroku is a cloud platform that provides hosting services. It supports several programming languages including PHP, Node.js, and Python. It is Platform-as-a-Service (PaaS) which allows you to manage website applications while it takes care of your servers, networks, storage and other cloud components. In this article, we’ll take a look at how to deploy a Django application to Heroku, using Git. You can follow the same steps, and deploy the application from GitHub, if it’s hosted there. Prerequisites Below […]

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Classification, Intermediate, Machine Learning, NLP, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

Ultimate Guide to Understand and Implement Natural Language Processing (with codes in Python)

Overview Complete guide on natural language processing (NLP) in Python Learn various techniques for implementing NLP including parsing & text processing Understand how to use NLP for text feature engineering   Introduction According to industry estimates, only 21% of the available data is present in structured form. Data is being generated as we speak, as we tweet, as we send messages on Whatsapp and in various other activities. Majority of this data exists in the textual form, which is highly unstructured […]

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