The Best Ways to Learn Python

Viewing a YouTube tutorial on Python or browsing through the official documentation isn’t necessarily be the best way to learn Python. Without a reliable mentor in the programming community, it becomes incredibly difficult to quickly and efficiently learn new languages, primarily because students don’t know what they don’t know. 

The hours spent searching for the content students need, taught well by the right teacher in the right context, would be better spent actually learning the language and preparing to apply it in the real world. And some ways of learning Python (or any language, for that matter) are much better than others. Read on to find out more.



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The Best Ways to Learn Javascript

JavaScript,  the language known for “running the internet,” is deeply entrenched in the programming world. Created in 1995, it was first deployed as a frontend language and used to make websites interactive with features like drop-down menus, maps, forms, video players and modals. Since then, JavaScript has made a transition to the server side (as Node.js) and has earned respect as a powerful backend language in its own right. 
Despite its vast applicability and extensive network of libraries, JavaScript is not an overly complex language. In fact, with its human-readable syntax and dynamic typing, it’s downright friendly. Let’s learn more about why it’s a great first (or second, or third) programming language along with some tips for assimilating it.

The Best Ways to Learn Javascript


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The Software Engineer Salaries: What Makes It Attractive

The Software engineer role is one of the most sought after job titles in the IT and tech industry. The growth prospects and lucrative software engineer salaries make it an attractive career option. With an average base annual salary of $92,046, software engineering is increasingly in-demand and a highly desirable career path.

According to a report by Evans Data Corporation, there were approximately 23.9 million software developers in the world in 2018. The number reached 26.4 million in 2019 and is projected to grow by 28.7 million by 2024. 

Despite such significant numbers, hiring software engineers remains the second biggest challenge for managers. It’s a highly competitive field requiring job-specific skills like knowledge of tools used in the organization and programming languages.

But before you dive deep deeper into the skill requirements, it’s important to know what you might be expected to do as a software engineer and the salaries that you can expect. 



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Udacity Launches New SQL Nanodegree Program for Today’s Data-driven Professionals

LearnSQL

Think about the role that Big Data plays in our day-to-day lives and how we contribute to it. Every time we tweet, send emails, search online, or ride in a connected car, we’re creating thousands of data points. 

Those data sets are used by companies (both large and small) to help inform the creation and improvements of new products, services, and business strategies.

It’s predicted that by 2025, an estimated 463 exabytes of data will be created each day globally, reports Weforum.org. As more data is created, more companies have expressed a need for qualified employees with SQL skills (Structured Query Language, the first language of data analysis, and universal language for relational databases) to analyze and create actionable intelligence based on that data.



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Popular Python AI libraries

Python AI libraries have one job: To provide the benefits of AI algorithms and tooling without any of the complexities of their implementation. No developer wants to reinvent the wheel or delve into an array of statistics and data science books every time they want to build a chatbot or classify some data. This is where the copious number of AI libraries, written for Python, can make projects faster to build, more readable and more effective at achieving their goals using AI. Read on to find out more.



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