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09.11.2023.

Python Web Scraping: A Beginner's Guide

Web scraping is a powerful tool for extracting information from websites. It's used in a variety of fields, from data science to digital marketing. Python, with its rich ecosystem of libraries, is one of the most popular languages for web scraping. In this article, we’ll guide you through the basics of web scraping using Python with a practical example.
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10.10.2023.

Creating of an efficient Test Case repository – Part 1

Welcome to our proposed two-part blog post series on creating an efficient Test Case repository. We initiated this series to address issues in our current repository setup, specifically regarding Test Case creation and execution. Our aim was to optimize QA processes by reorganizing the repository and implementing BDD principles via Gherkin scenarios.
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06.10.2023.

Getting started with MongoDB

MongoDB is a popular NoSQL database that offers flexibility, scalability and powerful data manipulation capabilities. In this blog post, we will explore the fundamental concepts of MongoDB, including creating database, collections, establishing relationships and performing various types of aggregations.
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17.07.2023.

Python Book of Recipes #7 – Sharp your Python Developers skill

Welcome to the Python Kitchen, where we explore the art of coding with a dash of culinary creativity! In this culinary adventure, we will be showcasing a delightful menu of Python techniques that will enhance your development skills and make your code taste even better.
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10.07.2023.

Python Book of Recipes #6 – Cooking up Color-Based Object Tracking: A Fun Computer Vision Recipe

In our previous recipe, we showed the importance of color spaces in computer vision tasks such as image processing, object detection, segmentation, and tracking. By harnessing the power of color, we'll unlock a fascinating way to track objects in video streams with remarkable accuracy.
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15.06.2023.

Python Book of Recipes #5 -A Delectable Palette: Exploring the Flavors of Color Spaces in Computer Vision

In this recipe, we will walk through the process of building a color space converter using Python, OpenCV and Streamlit. We will leverage the capabilities of OpenCV, a popular computer vision library, to handle image operations and color space conversions. Streamlit, a user-friendly library for creating interactive web applications, will enable us to create a visually appealing and intuitive interface for our color space converter.
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02.06.2023.

Python Book of Recipes #4 - TURF Analysis: A Gastronomic Journey into Total Unduplicated Reach and Frequency

TURF stands for Total Unduplicated Reach and Frequency. Just as a skilled chef meticulously selects ingredients to create a harmonious dish, we'll employ Python's magic to explore the delectable realm of TURF analysis, guiding us towards the perfect combination of ingredients.
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29.05.2023.

Python Book of Recipes #3 - Savory Classification Recipe: Spot-Checking Algorithms for a Flavorful Machine Learning Dish

In the field of machine learning, there is a famous saying: "No free lunch." This phrase emphasizes the need to carefully evaluate and compare different algorithms to find the most suitable one for a specific task. In this recipe, we will spot-check several classification algorithms using cross-validation to assess their performance.
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23.05.2023.

Python Book of Recipes #2 - A Dash of Customization: How Plugin Architecture Can Spice Up Your Code

Just as a chef adds spices and ingredients to a dish to make it more flavorful and customizable, a Python developer can use plugin architecture to add flexibility and extendibility to their code. By implementing a plugin architecture, you can empower other developers to add their own features to your codebase, while keeping the core functionality intact. Before whipping up some code with the help of plugin architecture, let us take a quick look at the advantages of plugin architecture.
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08.05.2023.

Python Book of Recipes #1 - How to Simplify Email Address Processing in Python

Hello Python folks! I am excited to start this python recipes book to the delight of python lovers, where I'll be sharing my thoughts and experiences with all of you. The First recipe is all about combining multiple Python features in just a few lines of code. So, lets’ start!
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