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Articles
14 May 2019
Kateryna Koidan
Why Use Python in Marketing?
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.
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2 May 2019
Kateryna Koidan
Git and GitHub – a Beginner Friendly Overview
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?
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25 Apr 2019
Rasmus Ebsen
Becoming a Successful Freelance Software Developer
Freelancers are workers who, for one reason or another, decided to work independently. Flexibility and continuous training are usually what interest programmers who approach this career. You might have a lot of questions and wonder: what does it take to become a freelance software developer? In this article, we will give you some tips on how to approach this career and become a successful freelance software developer. Tips to Become a Successful Freelance Software Developer Like all jobs, freelancing comes with its pros and cons.
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23 Apr 2019
Dorota Wdzięczna
Jupyter Notebook – the Free Editor for Python
If you have basic knowledge about Python and are looking for an IDE to work with on your own computer, consider the Jupyter Notebook. It is a good tool, especially for Data Science projects. What is Jupyter Notebook? Jupyter Notebook is an open-source server-client application used to create and run mainly Data Science projects. Where does its name come from? JUPYTER is an acronym of Julia, Python, and R, because they were the first programming languages supported by this editor.
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18 Apr 2019
Dorota Wdzięczna
Python IDE: PyCharm Tutorial for Beginners
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. The vast number of PyCharm features doesn't make this IDE difficult to use–just the opposite.
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16 Apr 2019
Magdalena Wojtas
Why Python Should Be Your First Programming Language – Python Basics Course Review
Python was my love at first sight. It was at the very beginning of my interest in programming when I took my first Python course, and I instantly fell in love with this language. Unfortunately, I had few opportunities to work professionally in the Python environment, but I kept learning after hours, just for fun, until my new job became too demanding and I simply had no more time for my coding hobby.
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11 Apr 2019
Dorota Wdzięczna
How to Install the PyCharm IDE (Windows and Ubuntu)
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).
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9 Apr 2019
Usman Malik
Python Drawing: Intro to Python Matplotlib for Data Visualization (Part 2)
Ever wondered how you can use Python to create stunning data visualizations? In the first part of this series, we saw how to draw line plots and histograms using the matplotlib library. We also saw how to change the default size of a plot and how to add titles, axes, and legends to a plot. In this article, we'll see a few more types of plots that can be drawn using the matplot library with pro tips on how to improve them.
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4 Apr 2019
Kateryna Koidan
How to Work with Python Date and Time Objects
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.
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2 Apr 2019
Usman Malik
Python Drawing: Intro to Python Matplotlib for Data Visualization (Part 1)
Want to know how Python is used for plotting and data visualization? Interested in learning one of the most commonly used data visualization libraries in Python? If so, you're in the right place. In this installment of a two-part tutorial, we'll learn how to use matplotlib, one of the most commonly used data visualization libraries in Python. Over the course of both articles, we'll create different types of graphs, including:
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