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Recent posts by Byte
6 min read
Python for Web Development
Python came into existence in the late 80’s, which was influenced by the programming languages such as Modula-3 and ABC. Since the first release in 1991 to becoming an open source programming language, Python has evolved through the times and has gained immense popularity among the programmers to this day. Python is powerful, yet simple and easy to learn. With an abundant support of libraries, Python is the most accepted preferred programming language. The rapid growth and utilization of Python as a programming language to various fields of work has seen an increase in the number of job prospects as a python developer, marking a wide range of field of interest for every individual.
Topics: Python web development
4 min read
Applications of Python in Data Science
Data Science is the hottest job of this century and companies irrespective of the domain they work on are expanding their business to support analytics and make meaning insights from the data. Data has become an asset to every organization wherein it helps in taking business decisions and helps in the growth of the organization.
Topics: Python Data Science
4 min read
Getting started with Django - A Beginner's Guide
Are you interested in developing website but confused where to start with? Then this article is for you. There are a lot many web development frameworks available to start with, Django is the rapid wed development framework preferred by most of the web developers and it is also been used by many companies customized for their independent projects.
Topics: Python django
3 min read
Data Analyst vs Data Scientist
Data Analyst and Data Scientist are the hottest careers in the big data world. Most of the budding data aspirants think that Data Scientist is a jargon used for Data Analysts.
Topics: Data Engineer Data Science
1 min read
Career Transition: Data Scientist Q&A
At Byte Academy, we teach a variety of courses within the field of Data Science. From our full-time immersive to our mini-courses in topics like Machine Learning and Data Visualization, we're consistently asked about what a career transition into Data Science looks like. To provide some guidance to our prospective students and blog readers, we've asked our own Data Scientist, Lesley Cordero, for her own perspective on frequently asked questions.
Topics: syllabus law Careers Data Science
3 min read
The Music Industry is Rapping to Data Science
From the Beatles to Taylor Swift, everyone's music is available digitally now. People used to think technology is killing the music industry, but it's technology which is reviving it. So for musicians who are also interested in programming, data science is one way to get onboard with the idea. Spotify and Pandora know just the right track to play next thanks to data science. Wondering which song did well and why, look no further, the answer is in data science.
Pandora was perhaps the frontrunner of combining the two when it started the 'Music Genome Project' way back in 1999 before terms like Big Data even existed. The project considers songs as datasets and analyzes each song using up to 450 distinct musical characteristics or “genes”. A person – a trained music analyst with an actual degree in music – and automated algorithms comb through the song and classify it as Pop/Rock, Hip-Hop/Electronica, Jazz, World Music, and Classical. Decoding the “genes” of the song helps Pandora find the similarities and then successfully predict what a user might like listening to next.
Topics: Big Data spotify Careers music Data Science
1 min read
The 16 FinTech Unicorns Only Do Three Things
Will this breakdown remain, or will the market get too heavy in those sectors and even out?
