BUZZBONGO TECH GEEKS

When developing programs and web services, you often need to access third-party services: to obtain up-to-date data, to add an existing feature to your app, or to configure data exchange

Every year, new programming languages ​​emerge that promise to transform the IT industry. But time passes, and everyone once again turns their attention to the timeless classics. Java is one

Analyzing big data requires writing programs and scripts. Many programming languages ​​can be used for this, but some are more suitable – they contain many ready-made tools, functions, and libraries

We’ll show you how to use shortcuts to plot graphs, assign titles, visualize functions, and apply other formatting techniques using the Matplotlib library. The Matplotlib library and its purpose Matplotlib

Jupyter Notebook is an open-source web application used in data science for data visualization. We explain how it works and explore project examples. What is a Jupyter notebook, and where

Analytics systems help businesses collect, structure, and analyze data. This saves specialists time and companies money. We explain in detail the types of systems and how to choose them. Why

We explain what a sales analyst is and what they do in a company. We explain the skills needed to become one, how to obtain the profession, and how much

We explain what the concept of “information security” actually encompasses and explore the types of information threats and modern data protection technologies. What is information security? Corporate systems and users’

We discuss the pros and cons of the profession, employer requirements for data science specialists, and how to start a career in this field. Who is a Data Scientist? A

The Python programming language is often used by data analysts. For this purpose, it offers extensions—libraries and ready-made toolkits—for more efficient work. 1. pandas: for data preparation Before analyzing data,