Python tutorials

Working with Redis in Python with Django

Introduction Data is increasingly becoming a valuable commodity in the current era of technology and this necessitates the optimization of storage and access to this data. There are quite a few notable solutions for the storage of data, including Relational Database Management Systems (RDBMS) such as MySQL and PostgreSQL, which store data in a structured format using rows and columns and the relationships within the data. Apart from RDBMS, there are key-value stores that store data based on unique keys […]

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How to Get the Current Date and Time in Python

Introduction Logging, saving records to the database, and accessing files are all common tasks a programmer works on. In each of those cases, date and time play an important role in preserving the meaning and integrity of the data. Programmers often need to engage with date and time. In this article we will learn how to get the current date and time using Python’s builtin datetime module. With that module, we can get all relevant data in one object, or […]

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Heap Sort in Python

Introduction Heap Sort is another example of an efficient sorting algorithm. Its main advantage is that it has a great worst-case runtime of O(n*logn) regardless of the input data. As the name suggests, Heap Sort relies heavily on the heap data structure – a common implementation of a Priority Queue. Without a doubt, Heap Sort is one of the simplest sorting algorithms to implement and coupled with the fact that it’s a fairly efficient algorithm compared to other simple implementations, […]

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Introduction to Speech Recognition with Python

Speech recognition, as the name suggests, refers to automatic recognition of human speech. Speech recognition is one of the most important tasks in the domain of human computer interaction. If you have ever interacted with Alexa or have ever ordered Siri to complete a task, you have already experienced the power of speech recognition. Speech recognition has various applications ranging from automatic transcription of speech data (like voicemails) to interacting with robots via speech. In this tutorial, you will see […]

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Deploying Django Applications to AWS EC2 with Docker

Introduction In the fast-paced field of web applications, containerization has become not only common but the preferred mode of packaging and delivering web applications. Containers allow us to package our applications and deploy them anywhere without having to reconfigure or adapt our applications to the deployment platform. At the forefront of containerization is Docker, which is a tool that is used to package and run applications in containers that are platform agnostic. Serverless technology is also flourishing in this era […]

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Convert Strings to Numbers and Numbers to Strings in Python

Introduction Python allows you to convert strings, integers, and floats interchangeably in a few different ways. The simplest way to do this is using the basic str(), int(), and float() functions. On top of this, there are a couple of other ways as well. Before we get in to converting strings to numbers, and converting numbers to strings, let’s first see a bit about how strings and numbers are represented in Python. Note: For simplicity of running and showing these […]

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Variable-Length Arguments in Python with *args and **kwargs

Introduction Some functions have no arguments, others have multiple. There are times we have functions with arguments we don’t know about beforehand. We may have a variable number of arguments because we want to offer a flexible API to other developers or we don’t know the input size. With Python, we can create functions to accept any amount of arguments. In this article, we will look at how we can define and use functions with variable length arguments. These functions […]

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Ensemble/Voting Classification in Python with Scikit-Learn

Introduction Ensemble¬†classification¬†models can be powerful machine learning tools capable of achieving excellent performance and generalizing well to new, unseen datasets. The value of an ensemble classifier is that, in joining together the predictions of multiple classifiers, it can correct for errors made by any individual classifier, leading to better accuracy overall. Let’s take a look at the different ensemble classification methods and see how these classifiers can be implemented in Scikit-Learn. What are Ensemble Models in Machine Learning? Credit: Pixabay […]

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String Formatting with Python 3’s f-Strings

Introduction Python 3.6 introduced a new way to format strings: f-Strings. It is faster than other string formatting methods in Python, and they allow us to evaluate Python expressions inside a string. In this post, we’ll look at the various ways we can format strings in Python. Then we’ll have a deeper look at f-Strings, looking at how we can use it when displaying different data. Traditional String Formatting in Python Before we get into f-Strings, let’s have a look […]

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Using SQLAlchemy with Flask and PostgreSQL

Introduction Databases are a crucial part of modern applications since they store the data used to power them. Generally, we use the Structured Query Language (SQL) to perform queries on the database and manipulate the data inside of it. Though initially done via dedicated SQL tools, we’ve quickly moved to using SQL from within applications to perform queries. Naturally, as time passed, Object Relational Mappers (ORMs) came to be – which enable us to safely, easily and conveniently connect to […]

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