Most Popular Python Packages in 2021 by Kateryna Koidan 19 Aug 2021 Python packages provide a beginner-friendly and efficient way to solve complex problems in scientific computing, data visualization, data modeling, and many other fields. Let’s review 2021’s most popular Python packages for data analysts and developers. With the rise of data science and artificial intelligence, Python became one of the most popular programming languages. It’s preferred by top organizations, including Netflix, Uber, IBM, AstraZeneca, NASA, and the CIA. And Python isn’t limited to data science and AI; it’s used in many industries, including blockchain, physics, astronomy, medicine, game development, and entertainment. Read more Difference Between Python Modules, Packages, Libraries, and Frameworks by Kateryna Koidan 15 Jul 2021 If you are new to Python, you might be confused about all its libraries, packages, modules, and frameworks. From the context, you can usually understand that these are some pieces of code. But what’s the difference between them? In this article, I’ll explain the difference between Python modules, packages, libraries, and frameworks in simple terms. Real-world programs are complex. Even a simple game like a dice roll simulator would require lots of code if you programmed everything from scratch. Read more Python Data Science Project Ideas by Kateryna Koidan 10 Jun 2021 Wondering what your first-ever data science project or your first big project in Python should be? Or are you looking for your next data science project? This article will give you some ideas and directions. Creating data science projects in Python is essential for your career development. It’s the best way to learn new data science tools, practice the skills you’ve acquired, and demonstrate your competencies to potential employers. Read more Who Are Data Scientists and What Do They Use Python For? by Kateryna Koidan 20 May 2021 Are you wondering if a data science career is a good fit for you? In this article, I will try to explain what data science is and who data science specialists are. Check out what skills you need to become one of them – including Python. I have been observing a huge interest in data science for some time. Online forums and social media are constantly inundated with all kinds of information and questions on this topic. Read more How To Define a Function in Python by Kateryna Koidan 15 Apr 2021 If you have written any code in Python, you have already used functions. Print(), max(), and sum() are all built-in Python functions. However, did you know that you can also define your own functions? Let’s go through how to define and call a function in Python. What Is a Function in Python? In programming, a function is a block of code that performs a certain task or a group of related tasks. Read more How Will Python Improve My Daily Work? by Kateryna Koidan 11 Mar 2021 Python is not just for professional programmers. Learning Python can dramatically change the daily work of marketers, researchers, doctors, and even artists. Let’s see how Python is enhancing jobs in different industries. You might think that only computer programmers, web developers, software engineers, and other tech-industry professionals are the only ones who use Python at work. But the truth is that just about any job can be made easier by learning a little Python. Read more Python Lists, Tuples, and Sets: What’s the Difference? by Kateryna Koidan 4 Feb 2021 Python lists, tuples, and sets are common data structures that hold other objects. Let’s see how these structures are similar and how they are different by going through some code examples. In Python, we have four built-in data structures that can store a collection of different elements. These are lists, dictionaries, tuples, and sets. If you already know the theory behind these data structures, you can go to our Python Data Structures in Practice course and get hands-on experience with the most frequent ways they’re used. Read more Top 15 Python Libraries for Data Science by Kateryna Koidan 28 Jan 2021 We look at basic and advanced Python libraries for data science. Learn about getting, processing, modeling, and visualizing data in Python. The Python ecosystem offers a wide range of tools for data scientists. For newbies, it might be challenging to distinguish between fundamental data science tools and the ‘nice-to-haves’. In this article, I’ll guide you through the most popular Python libraries for data science. Python Libraries for Getting Data Data science starts with data. Read more How to Write a For Loop in Python by Kateryna Koidan 17 Dec 2020 The for loop is one of the basic tools in Python. You will likely encounter them at the very beginning of your Python journey. In this article, I’ll give you a brief overview of the for loop in Python and demonstrate with examples how you can use it to iterate over different types of sequences. What Is a For Loop in Python? Python is a powerful programming language that can be used for just about anything, and the for loop is one of its fundamental tools. Read more How to Check Your Python Version by Kateryna Koidan 19 Nov 2020 Chances are you have heard about Python 2 and Python 3. Although they are two versions of the same language, they have different syntax; code written in Python 3 might not work in Python 2. So, let’s discover how you can check your Python version on the command line and in the script on Windows, macOS, and Linux systems. Python is one of the most popular programming languages. With its simple syntax, high productivity, and amazing open-source libraries, Python can be used for just about anything. Read more «« « 1 2 3 » »»