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.
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.
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.
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.
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.
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.
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!
The subject of artificial intelligence (AI) is expanding quickly and has the potential to revolutionize a wide range of sectors. Due to its simplicity, usability and vast developer community, Python is a well-liked programming language used for AI development. TensorFlow, PyTorch and scikit-learn are just some of the tools and frameworks available in Python that facilitate the development of AI applications. In this post, we'll introduce you to Python-based artificial intelligence (AI) and provide you a basic example of how to apply AI with code snippets.
The project was co-financed by the European Union from the European Regional Development Fund. The content of the site is the sole responsibility of Serengeti ltd.
Get a Quote
To get an accurate quote, please provide as many details as possible. One of our key account managers will contact you back with a custom quote for your project.
Manage Cookie Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.