From the course: Complete Guide to Python for Data Engineering: From Beginner to Advanced

Introduction to Python and data engineering - Python Tutorial

From the course: Complete Guide to Python for Data Engineering: From Beginner to Advanced

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Introduction to Python and data engineering

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- [Instructor] Have you ever wondered how Netflix knows exactly what movie you want to watch next, or how Amazon seems to read your mind and recommend the preferred product? The secret lies in the data engineering and the magic wand that makes it possible is Python. Welcome to the Python for Data Engineering. Let's start with the basic. What is data engineering? In simple terms, it's a process of collecting, validating, storing, and processing data to turn it into information that can be used to make decisions. Think of it like a factory. Our raw materials, or in our case, our raw data, comes in, they are processed and transformed, and out come a finished product or a useful information. Now, question comes, where does Pythons comes into the play? Python is a programming language known for its simplicity and versatility. It's like a Swiss Army knife of programming language. It's used in web development, game development, and yes, in data engineering too. Python is particularly popular in data engineering because of its powerful libraries, like pandas for data manipulations, NumPy for numerical computation, and Matplotlib for data visualization. Let's take a real-world example. Imagine you are a farmer and you want to predict the best time to plant your crops. You could collect data on temperature, rainfall, and sunlight, and you can use Python to analyze this data and predict the optimal planting time. That's data engineering in action. Over the course of this series, we will dive deeper into the Python and data engineering. We will explore Python's powerful libraries, learn how to clean and manipulate data, and we'll also cover a capstone project. By the end, you will have the skills you need to harness the power of data and make informed decisions. But before we dive in too deep, we need to get comfortable in the shallow waters. In our next video, we will take our first step into the world of Python. We will set up our coding environment and write our very first lines of Python code. So if you have ever wanted to learn Python but didn't know where to start, make sure you don't miss our next video. See you there.

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