Python tutorials

Object Detection with ImageAI in Python

Introduction Object detection is a technology that falls under the broader domain of Computer Vision. It deals with identifying and tracking objects present in images and videos. Object detection has multiple applications such as face detection, vehicle detection, pedestrian counting, self-driving cars, security systems, etc. The two major objectives of object detection include: To identify all objects present in an image Filter out the object of attention In this article, you will see how to perform object detection in Python […]

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Deploying a Flask Application to Heroku

Introduction In this tutorial you will learn how to deploy a Flask application to Heroku. The app can be as simple as a “Hello World” app to a social media monitoring platform! Nowadays there is no business that doesn’t have a web app to help it a reach greater audience, or maybe provide its services through an online portal. Today you are about to learn how to make an API using Flask as a case study for how to deploy […]

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Solving Sequence Problems with LSTM in Keras

In this article, you will learn how to perform time series forecasting that is used to solve sequence problems. Time series forecasting refers to the type of problems where we have to predict an outcome based on time dependent inputs. A typical example of time series data is stock market data where stock prices change with time. Similarly, the hourly temperature of a particular place also changes and can also be considered as time series data. Time series data is […]

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Reading and Writing YAML to a File in Python

Introduction In this tutorial, we’re going to learn how to use the YAML library in Python 3. YAML stands for Yet Another Markup Language. In recent years it has become very popular for its use in storing data in a serialized manner for configuration files. Since YAML essentially is a data format, the YAML library is quite brief, as the only functionality required of it is the ability to parse YAML formatted files. In this article we will start with […]

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Solving Sequence Problems with LSTM in Keras: Part 2

This is the second and final part of the two-part series of articles on solving sequence problems with LSTMs. In the part 1 of the series, I explained how to solve one-to-one and many-to-one sequence problems using LSTM. In this part, you will see how to solve one-to-many and many-to-many sequence problems via LSTM in Keras. Image captioning is a classic example of one-to-many sequence problems where you have a single image as input and you have to predict the […]

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Analyzing API Data with MongoDB, Seaborn, and Matplotlib

Introduction A commonly requested skill for software development positions is experience with NoSQL databases, including MongoDB. This tutorial will explore collecting data using an API, storing it in a MongoDB database, and doing some analysis of the data. However, before jumping into the code let’s take a moment to go over MongoDB and APIs, to make sure we understand how we’ll be dealing with the data we’re collecting. MongoDB and NoSQL MongoDB is a form of NoSQL database, enabling the […]

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Python for NLP: Deep Learning Text Generation with Keras

This is the 21st article in my series of articles on Python for NLP. In the previous article, I explained how to use Facebook’s FastText library for finding semantic similarity and to perform text classification. In this article, you will see how to generate text via deep learning technique in Python using the Keras library. Text generation is one of the state-of-the-art applications of NLP. Deep learning techniques are being used for a variety of text generation tasks such as […]

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File Management with AWS S3, Python, and Flask

Introduction One of the key driving factors to technology growth is data. Data has become more important and crucial in the tools being built as technology advances. It has become the driving factor to technology growth, how to collect, store, secure, and distribute data. This data growth has led to an increase in the utilization of cloud architecture to store and manage data while minimizing the hassle required to maintain consistency and accuracy. As consumers of technology, we are generating […]

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Solving Systems of Linear Equations with Python’s Numpy

The Numpy library can be used to perform a variety of mathematical/scientific operations such as matrix cross and dot products, finding sine and cosine values, Fourier transform and shape manipulation, etc. The word Numpy is short-hand notation for “Numerical Python”. In this article, you will see how to solve a system of linear equations using Python’s Numpy library. What is a System of Linear Equations? Wikipedia defines a system of linear equations as: In mathematics, a system of linear equations […]

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Getting Started with Python PyAutoGUI

Introduction In this tutorial, we’re going to learn how to use pyautogui library in Python 3. The PyAutoGUI library provides cross-platform support for managing mouse and keyboard operations through code to enable automation of tasks. The pyautogui library is also available for Python 2; however, we will be using Python 3 throughout the course of this tutorial. A tool like this has many applications, a few of which include taking screenshots, automating GUI testing (like Selenium), automating tasks that can […]

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