14 Feb 2019
Python Coding Best Practices and Style Guidelines
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. 12 Feb 2019
Finished Python Basics Course? Code on Your Computer
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 LearnPython.com, 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. 24 Jan 2019
A Typical Day in the Life of an IT Team
Ever wondered what daily life in a tech company looks like but had no one to ask? Let's take a look at a day on the IT team from the inside. All programmers wear plaid shirts and thick glasses, eat junk food, sleep during the day, stay awake all night, and spend their time in dark basements where the only light comes from a few monitors displaying tons of unintelligible code. 22 Jan 2019
Lucky Thirteen Python Articles of 2018 for Beginners
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 LearnPython.com Articles for Beginners The LearnPython. 13 Jan 2019
11 Tips for Building a Data Science Portfolio With Python
Looking for some advice to build a data science portfolio that will put you ahead of other aspiring data scientists? Don't miss these useful tips. Why Have a Portfolio at All? Even though the demand for data scientists is high, the competition for entry-level positions in this field is tough. It should come as no surprise that companies prefer to hire people with at least some real-world experience in data science. 13 Dec 2018
Data Science Projects in Python: A Beginner's Guide
When you already have some experience with Python, building your own portfolio of data science projects is the best way to showcase your skills to potential employers. But where do you begin with developing your very first Python project? First, Why Develop a Data Science Project? There are a number of career development benefits to creating your own data science project in a language such as Python: Studying. 11 Dec 2018
Python Jobs and Salaries
Python is a simple yet powerful programming language that's a must for beginners and advanced programmers alike. Here's why. High-level programming languages have one goal in mind: to make your life as a programmer easier. Messy syntax and obscure keywords? Forget about it. With languages like Python, you can get away with understanding just the basics of programming, enough to begin writing your own scripts and apps. And since Python developers are high in demand, Python is a great language to learn if you want to pursue a career in software development or big data. 29 Nov 2018
15 Python Interview Questions for Data Science Jobs
Looking for a data science job? Then you've probably noticed that most positions require applicants to have some level of Python programming skills. But how are they going to test this? What are they going to ask? Let's prepare you for some interview questions! Why Do Data Scientists Need Python? Data science goes beyond simple data analysis and requires that you be able to work with more advanced tools. Thus, if you work with big data and need to perform complex computations or create aesthetically pleasing and interactive plots, Python is one of the most efficient solutions out there. 27 Nov 2018
9 Tips for Surviving Your First Day in IT
So, you've finally landed your first technical job? Congrats! But you go to the office and find that there are millions of things to memorize, tons of command-line magic to perform, and strange jargon being thrown around among your team members that you simply can't keep up with... How do you manage all of this without going crazy? Of course, your hard skills count the most, but you'll need more than that to be really good at what you'll be doing. 22 Nov 2018