How to Use Python Dictionaries: The LearnPython.com's Guide by Kateryna Koidan 16 Jan 2020 Wondering how to get the most out of Python dictionaries? In this comprehensive guide, we'll cover all you need to know to effectively use dictionaries in your studies and in real-world projects. What Is a Python Dictionary? A Python dictionary is yet another very useful and important data type. Basically, Python dictionaries are an unordered collection of data values. However, in contrast to other data types, a dictionary's elements are key-value pairs instead of single data values. Read more Array vs. List in Python – What's the Difference? by Kateryna Koidan 17 Dec 2019 Both lists and arrays are used to store data in Python. Moreover, both data structures allow indexing, slicing, and iterating. So what's the difference between an array and a list in Python? In this article, we'll explain in detail when to use a Python array vs. a list. Python has lots of different data structures with different features and functions. Its built-in data structures include lists, tuples, sets, and dictionaries. Read more What is Python Used For? by Kateryna Koidan 27 Nov 2019 Let's clarify first. This article is not about snakes, it's about coding in the fastest-growing programming language. That language happens to be named Python. In this article, we'll go through a number of inspiring ways to use Python. So, what is Python used for? Why Code in Python? You have probably heard about many different programming languages, including JavaScript, Java, C++, Ruby, and others. Why should you choose Python? Read more Why Every Organization Needs a Data Analyst by Kateryna Koidan 4 Sep 2019 There is so much hype around the data scientist role these days that when a company needs a specialist to get some insights from data, the first idea is to look for a data scientist. But is it really the best option? Let's see how the roles of data scientists and data analysts differ and why you may want to hire an analyst before any other role. Data Scientist or Data Analyst? Read more Why Use Python in Marketing? by Kateryna Koidan 14 May 2019 Python can help you get more insights from your data, make better-informed data-driven decisions, automate many routine activities, and increase the ROI from your marketing campaigns. Interested? Then let's see how exactly Python can boost your marketing efforts. How Can Your Marketing Activities Benefit from Python? As a marketer, you probably face a number of challenges: Ads are getting more expensive. Previously profitable marketing channels, like content marketing, are becoming crowded. Read more What is Git, How to Start Working With GitHub–a Beginner Friendly Overview by Kateryna Koidan 2 May 2019 It looks like everybody in the tech world is using GitHub. Wondering if you need it too? Let's have a brief beginner-friendly overview to see what Git and GitHub are and how you can start working with them right away. What is Git? We are going to start with defining what Git is and how you can benefit from it. Git is an open-source distributed version control system. What does this mean in simple terms? Read more How to Work with Python Date and Time Objects by Kateryna Koidan 4 Apr 2019 At some point in your Python journey, you'll definitely need to work with dates, times, or both. Learn all the basics of date and time in Python with this short tutorial. Need to calculate how long it's been since a given date? Working with date and time objects in Python? In this beginner's guide, we'll take a look at how to write programs with these two key data types in Python. Read more Python Set Operations and More: All You Need to Know About Python Sets by Kateryna Koidan 28 Mar 2019 Even if you're just starting your Python journey, you've most likely come across Python sets. But do you know how to use them effectively? This article aims to cover all the main Python set operations to give you a better feel for when and how to use this important data structure. What Are Python Sets? First, let's start with the basics. A set is a built-in type in Python that has a number of important characteristics: Read more 12 Python Tips and Tricks That Every Data Scientist Should Know by Kateryna Koidan 21 Mar 2019 You already have some foundational knowledge of Python for data science. But do you write your code efficiently? Check out these tips and tricks to supercharge your Python skills. How to Write Efficient Python Code In this article, we'll take a look at some tricks that will help you write fast and efficient Python code. I'll start with how to optimize code that involves the pandas library. If you want to refresh your knowledge of pandas, check out our Introduction to Python for Data Science course. Read more Python Coding Best Practices and Style Guidelines by Kateryna Koidan 14 Feb 2019 You've spent hours studying Python, and you may even have several successful projects in your portfolio. But do you write your Python code like a pro? Let's review some important guidelines to help you clean up your code. What Is the Pythonic Way of Writing Code? There are often several ways to do something in Python; naturally, some are better than others. But you should always prefer code that is not only syntactically correct but also in alignment with coding best practices and the way the language ought to be used. Read more «« « 1 2 » »»