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The first action a customer takes after visiting a website is creating an account, usually to place an order, book an appointment, pay for a service, etc. When creating an account it is important to persist the correct email address in the system and verify the user's ownership. A common...
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One of the most "obscure" features of Python that almost all Python programmers use, even the beginner ones, but don't really understand, is context managers. You've probably seen them in the form of with statements, usually first encountered when you learn opening files in Python. Although context managers...
Collections in Python are containers that are used to store collections of data, for example, list, dict, set, tuple etc. These are built-in collections. Several modules have been developed that provide additional data structures to store collections of data. One such module is the Python collections module. Python collections module...
Logging helps you keep track of events happening during the execution of your code, which can then be used in the future for debugging purposes. It provides a better picture of the flow of the application and helps developers trace the source of errors that happens during execution of your...
Web-scraping is an important technique, frequently employed in a lot of different contexts, especially data science and data mining. Python is largely considered the go-to language for web-scraping, the reason being the batteries-included nature of Python. With Python, you can create a simple scraping script in about 15 minutes and...
Searching for data stored in different data structures is a crucial part of pretty much every single application. There are many different algorithms available to utilize when searching, and each has different implementations and relies on different data structures to get the job done. Being able to choose a specific...
Handling files is an entry-level and fundamental skill for any programmer. They're very commonly used to store application data, user configurations, videos, images, etc. There are a countless number of use-cases for files in software applications, so you'd be smart to make yourself deeply familiar with the tasks of manipulating...
Python has a wide variety of useful packages for machine learning and statistical analysis such as TensorFlow, NumPy, scikit-learn, Pandas, and more. One package that is essential to most data science projects is matplotlib. Available for any Python distribution, it can be installed on Python 3 with pip. Other methods...
Since 2003, Python has ranked in the top 10 programming languages to learn and its ranking has been consistently improving ever since. According to a statistic, Python is one of the top 5 languages to learn in 2019 and has become an essential part of the programming community, thanks to...
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