Bigdata a buzzword itself suggest how big and voluminous your data is. To accommodate those data you require a huge storage.In recent times, big data has acquired almost every sector of the world. Even the current market trends are of Bigdata and analytics. BigData is just like an ocean in which you have many areas to learn and earn from it. Python programming is a general-purpose programming language that is open source, flexible, robust and simple.

Python is the object-oriented programming language used by many computer scientists, math and engineering students, and independent programmers. Web browsers, embedded systems, machine learning, and artificial intelligence actively use Python. Python started as a research tool that the scientific community used to build complex scientific applications, but it has become more popular with users in other fields and industries. The most common Python projects involve data mining, data science, code simplification, and the construction of APIs. Even if Python is not easy to learn, I do think it's one of the most user-friendly languages out there.

The popularity of JavaScript doesn't need any special introduction. And with digitalization progressing at an increasingly fast pace, businesses are found adopting machine learning and artificial intelligence to conduct operations daily. As technology advances with the time passing by and so do we – a variety of machine learning frameworks came into limelight such as JavaScript. The following post is quite influenced by the book – Hands-on Machine Learning with JavaScript by Burak Kanber. The book mainly acts as a short guide on creating intelligent web applications with the best of machine learning and JavaScript.

We have come quite far in terms of technology. Looking at the timeline of history, it's not quite long when we came up with the idea of wheels. Soon the human curiosity led to the development of science and technology which further led the development of several technological marvels. These advancements have aided the growth of human civilization. The discovery of any new technology has immense impact on civilization, so much so that it defines the era of discovery.

Python is becoming more and more popular because of plenty of reasons. It is even considered that it is mandatory to master the Python syntax before doing anything interesting like data science. Though there are plenty of reasons to learn Python, one of the key reasons is that it is the best language to master if you want to analyze the data or get into the field of data analysis and data sciences. In order to start your data science journey, you will have to first learn the bare minimum syntax. After that, you would have to focus on developing structured projects.

Data science and machine learning are growing at a rapid rate, and All major tech giants are investing enormously in machine learning and data science to improve their products. IBM predicts that by 2020, the number of jobs for all United States data professionals will increase by 365,000 openings to 2,730,000. So what is Data science and machine learning, Data science is an interdisciplinary field of scientific methods which includes the study of where information comes from, what it represents and how it can be turned into a valuable means to solve analytically complex problems. And Machine learning is a field of computer science or is an application of artificial intelligence that provides machine or system the ability to learn and improve from experience without being explicitly programmed automatically. In recent times, machine learning and data science fields have witnessed exponential growth.

A NoSQL database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. It is a symbolic math library, and is also used for machine learning applications such as neural networks. It has imperative, object-oriented and generic programming features, while also providing facilities for low-level memory manipulation. The technology allows subscribers to have at their disposal a virtual cluster of computers, available all the time. Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales.