The PyCharm IDE is one of the most popular editors used by professional Python developers and programmers. But if you are a beginner, don’t worry, it can help you too! Find out how to create Python projects using PyCharm and what basic features can help you write code more efficiently. The PyCharm IDE is one of the most popular editors used by professional Python developers and programmers.
This tutorial will show you how to install the PyCharm IDE on your own computer–whether you have Windows or Ubuntu. To start developing with the PyCharm IDE, you need to download and install it on your computer’s operating system. PyCharm is an editor developed by the JetBrains company. As of today, it is the most popular IDE used by Python developers. Knowing this, JetBrains delivers PyCharm in three versions: Professional (full-featured IDE), Community (lightweight IDE, not full-featured), and Educational (community IDE with added education features).
In my last article, I roughly described how standard SQL differs from T-SQL and who should learn which. Now I’d like to focus on the syntax differences and illustrate these differences with examples. If you think T-SQL is an extension implementing all the features from standard SQL, you aren’t right. However, in SQL Server you will find almost all the features of the SQL standard. In this article you will find examples of some of the differences in syntax between standard SQL and Transact-SQL.
One of the most popular Python IDEs is Spyder, which stands for Scientific PYthon Development EnviRonment. This Python tool is “designed by and for scientists, engineers and data analysts.” But it’s not just for professionals. In this article, we’ll learn why the Spyder IDE is also an excellent tool for beginners. In this article, I’ll: Show you how to install Spyder on Windows and Linux. Guide you in starting a project and creating your first Python script.
Want to start learning Python but struggling to find quality resources? Well, they're out there—and we'll review them here. In no particular order, here are the best online resources to learn Python. Courses 1. Vertabelo Academy Vertabelo Academy is an interactive e-learning platform that offers six Python courses: Python Basics Part 1. This is the first of a two-part course that covers everything you need to know about Python so you can start writing your own scripts and applications.
So you want to learn SQL and decided to learn with Vertabelo Academy? That's great! This article show you the sequence in which to take the courses in order of increasing difficulty. Courses Teaching Standard SQL (ANSI) If you plan to begin learning SQL and would like to become a professional, your first step is to complete the SQL Basics course. This is the fundamental course that will provide a smooth introduction to the world of relational databases by learning about tables.
If you are beginning to learn SQL and are confused by the differences between SQL and other similar languages like T-SQL, this article will help make things clear. You will also find explanations concerning which topics would be better to start learning first: general SQL or something more specific like MS SQL Server. What is SQL? SQL (Structured Query Language) is a basic ANSI/ISO standard programming language designed to operate on data stored in relational databases.
Online Python courses help you acquire basic knowledge of working with Python. But how do you retain what you’ve learned and start writing Python code on your own? Nowadays, there are plenty of e-learning platforms for programming languages like Python. With these platforms, you can learn the fundamentals of the Python language: syntax, basic functions, and programming best practices. On platforms like Vertabelo Academy, for example, you don’t need others tools to work through the content and can get your hands dirty with a language in a sandbox environment.
If you have just started learning Python, now is a great time to develop your skills further. Nowadays it is not problem to find resources about Python on the internet, however, it can be difficult to find good materials to read for beginners. Therefore I decided to gather and share with you my “Lucky thirteen” articles on Python written in 2018. Top 3 Vertabelo Academy Python Articles for Beginners The Vertabelo Academy is an online learning platform that delivers courses on SQL, data science, and Python.
In this comprehensive beginner’s guide, we’ll look at how to install Python on three major operating systems, choose a Python IDE, and run your code. Would you like to start coding in Python but don’t know where to begin? Maybe you’ve graduated from an online course like Python Basics and now are looking to continue your Python adventure on your own machine. But first, why Python? The answer is simple: Python is a very easy-to-learn and powerful programming language.
Python is a programming language frequently used by scientists and data analysts to build applications. Why? Because it’s easy to use and has few rules. But simply installing Python isn’t enough—you also need a good interactive development environment (IDE) to program in. So what are the best Python IDEs for data science? Let’s find out! (Note: all IDEs presented here support Windows, macOS, and Linux.) 1. Enthought Canopy Enthought Canopy is one of the best Python IDEs for scientists and engineers.
Microsoft SQL Server is one of the most popular professional database servers on the market. In this guide, we’ll help you install SQL Server on the Windows operating system together with SQL Management Studio. How to Install SQL Server 2017 We’ll install SQL Server 2017 in this guide. You can download it for Windows and Linux, but you can’t install Microsoft SQL Management Studio on Linux at the moment, so we recommend you stick to Windows.
If you plan to learn SQL online but aren’t sure where to start, you’re in the right place. I evaluated the top 7 ranked SQL online courses to help you find the right solution. While summer’s a great time to relax and get away from work, it’s also an excellent opportunity to learn new skills—like SQL! Thanks to online schools, learning new tech skills is super easy, and you can choose from a variety of formats to suit your needs, like courses and tutorials.
If you’re looking to retrieve any kind of information from a database, you need to speak its language. But querying databases is an art—and it demands practice. We spend a lot of time not only developing new courses but also speaking with our users and learning what they have to say about online learning. This is how we came up with the idea of creating an SQL practice set.
Excel allows business professionals to unlock the potential of their data – to a point. But when it comes to storing and manipulating large amounts of data, Excel can cause some problems. Excel has many good points. It’s often used by specialists to work with data related to their particular field. But it can come with problems, such as sluggish performance and difficult team collaboration. Even worse, Excel is vulnerable to the most dreaded problem of all: the accidental deletion of important data.
Just in time for Valentine’s Day, we discover which of Gary and Sara’s friends are in love – and how to use the SQL JOIN statement to work with data in multiple tables! Did you know SQL is a matchmaker? That’s right; it loves to make data couples by linking information from two (or more!) tables using the JOIN statement. However, many SQL rookies run into problems using JOIN. So let’s go to a party and learn how to use JOIN the right way!
For this post, I’ve gathered 15 of the most interesting SQL articles published in 2017. If you’re an SQL beginner and are interested in learning more about databases and SQL queries, or if you’d just like to expand your knowledge of SQL, this article is perfect for you. Let’s dive right in! Top 3 Vertabelo Academy articles I’ll start off the list with three of the most popular Vertabelo Academy articles.
If you’re in the US, chances are you’ve been eagerly awaiting the approach of Black Friday just as much as Thanksgiving. Though the shopping frenzy takes hold of nearly everyone, some people have to stick to their budgets and shop prudently. In this article, we’ll take a look at how generating an SQL report can help you track how much your family spent shopping on Black Friday. Storing Black Friday Purchases in a Database Before we can create an SQL report, we first need some data we can use.
Thanksgiving is a holiday many Americans celebrate with their families and friends, seated around a table loaded with a hearty feast. The most prominent of all dishes is, of course, the turkey. However, at least a few other specialties are also cooked for Thanksgiving. Do you find it hard to choose what to prepare? If so, we’ve got a solution for you: a special SQL query that will help you pick the best dishes.
The mean (average) is one of the most valuable and most frequently used measures in descriptive statistics. Why is it so widely used, and why is it important to know how to calculate the arithmetic mean? Perhaps the most convincing argument is that the mean is used in virtually every area of life. With the arithmetic mean, you can calculate the average daily television viewing time for citizens of a given country, average volume of coffee drunk by a typical American, average annual temperature in your city, or the average amount you spend on food in a typical week.
Relational databases often store the value NULL in their tables. If you’re not familiar with NULL and what it is, you could run into unexpected problems. In this article, we’ll take a look at how the IN and EXISTS operators work with NULL. What Is NULL? In SQL, NULL is a special value indicating that a particular piece of data doesn’t exist in the database. For SQL beginners, it’s often a source of problems.
SQL is an extremely desirable skill for anyone in today’s market—not just those in the IT sector. It’s becoming increasingly common for employers to require at least a basic knowledge of SQL in professions related to finance, statistics, banking, and business analytics. In this article, we will focus on the SQL interview questions one can expect during an interview for a business analyst (BA) position. What is a Business Analyst?
Nowadays, data are gathered from a variety of sources, and information is of great value to organizations. However, with an increasing amount of data comes the need for databases that can store information for retrieval and analysis by trained specialists. Thus, proper data analysis is in high demand in our digital world. Relational databases, which logically group information into chunks, are basically used to store and organize large amounts of data.
So far, our articles in the “An Illustrated Guide” series have explained several join types: INNER JOINs, OUTER JOINs (LEFT JOIN, RIGHT JOIN, FULL JOIN), CROSS JOIN, self-join and non-equi join. In this final article of the series, we show you how to create SQL queries that match data from multiple tables using one or more join types. Join Types in SQL Queries Before we start discussing example SQL queries that use multiple join types, let’s do a short recap of the join types we’ve covered so far, just to be sure you understand the differences.
Did you know that an SQL join doesn’t have to be based on identical matches? In this post, we look at the non-equi join, which uses ‘non-equal’ operators to match records. We’ve already discussed several types of joins, including self-joins and CROSS JOIN, INNER JOIN and OUTER JOIN. These types of joins typically appear with the equals sign (=). However, some joins use conditions other than the equals (=) sign.
What is an SQL self-join and how does it work? When should it be used? We’ll provide answers to those questions! In SQL, we can combine data from multiple tables by using a JOIN operator. JOIN has several variants; we’ve already discussed CROSS JOIN, INNER JOIN, and OUTER JOIN. Most of the time, these operators join data from two or more different tables. In this article, however, we will explain how to join records from the same table.
Everyone, from rookie programmers to SQL ninjas, needs a bit of help now and again. Enter Vertabelo's SQL Cheat Sheet! Working with databases is hard. There's a lot of data to manage, which can be daunting. But the main challenge many database users face is the SQL commands themselves. It's all right when you're using the same familiar ones day after day, but what about the commands you dust off once or twice a year?
We’ve already discussed the SQL CROSS JOIN and INNER JOIN statements. It’s time to explore another: OUTER JOIN. What is it? How does it work? Let’s find out! If you’ve read our other posts, you know that you can link the data in two or more database tables using one of the many types of SQL join operator. Today, we’ll discuss the three kinds of OUTER JOIN: LEFT OUTER JOIN, RIGHT OUTER JOIN, and FULL OUTER JOIN.
What is an SQL INNER JOIN, and how does it work? Let’s find out! In my last article, I discussed the CROSS JOIN operation in SQL. Today, we’ll look at INNER JOIN and how to use it. Is it the same as a JOIN? How many tables can you link with an INNER JOIN? These are all good questions. Let’s look at the answers! What is an INNER JOIN? INNER JOIN combines data from multiple tables by joining them based on a matching record.
What is an SQL CROSS JOIN statement? When should you use it? When shouldn’t you use it? This post will tell you what you need to know about CROSS JOIN. You already know that you can use the SQL JOIN statement to join one or more tables that share a matching record. And if you’re read the Vertabelo Academy post Learning SQL JOINs Using Real Life Situations, you know that there are many types of JOINs.
What happens when you combine CASE with SQL’s data modifying statements? Find out in this article. The CASE expression is a very useful part of SQL and one that you’ll employ frequently. We’ve already covered what the CASE expression does, how to format it, and how to use it in a SELECT statement in “Using CASE to Add Logic to a SELECT”. Another article, “How to Sort Records with the ORDER BY Clause” demonstrated how to use CASE in an ORDER BY clause.
Relational databases don’t store records in alphabetical, numerical, ascending, or in any particular order. The only way to order records in the result set is to use the ORDER BY clause. You can use this clause to order rows by a column, a list of columns, or an expression. You can also order rows using the CASE expression. In this post, we’ll take a look at the ORDER BY clause – how to write it, how it works, and what it does.
As you write an SQL query, you may need to get values from multiple columns and change values from one form to another. The simple way to achieve this goal is to add a CASE expression to your SELECT statement. In this article, we’ll introduce you to the syntax, formats, and uses of the CASE expression. The CASE expression is a conditional expression: it evaluates data and returns a result.
Matching patterns is a very important and useful ability. In this article, we look at how you can match patterns using the SQL LIKE operator. Pattern matching is a very simple concept. It allows you to search strings and substrings and find certain characters or groups of characters. You can find pattern matching mechanisms in SQL and in other programming languages. In this article, we’ll examine how the LIKE operator can be used to search substrings.