Technologies that I love

It's not that we use technology. We live technology.





Technological Tools

Here is the list of technologies that I have used and implemented.

  1. C++
  2. C++ was the first ever programming language that I learned. C++ is an object-oriented (OO) programming language that can be very efficient. It is widely used in game development and embedded system programming.

  3. Python
  4. Python is my favourite programming language and has developed my interest in the field of data science. Also, Python programming is a general-purpose, used in almost all fields, including: Scientific and mathematical computing, Web development, Finance and trading, System automation and administration, Computer graphics, Basic game development, Security and penetration testing, General and application-specific scripting, Mapping and geography (GIS software) etc.

  5. Matlab
  6. MATLAB is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages

  7. C programming Language
  8. C is a powerful general-purpose programming language. It can be used to develop software like operating systems, databases, compilers, and so on. C programming is an excellent language to learn to program for beginners.



  9. HTML/CSS
  10. HTML is the foundation of all web pages. It defines the structure of a page, while CSS defines its style. HTML and CSS are the beginning of everything you need to know to make your first web page! (like this one :) )

  11. Jupyter Notebooks
  12. The Jupyter Notebook App is a server-client application that allows editing and running notebook documents via a web browser. The Jupyter Notebook App can be executed on a local desktop requiring no internet access (as described in this document) or can be installed on a remote server and accessed through the internet.

  13. MS Office
  14. Microsoft Office, also known as MS Office, is a popular software suite featuring many desktop publishing programs. It comes with everything that may come into use in a classic office setting, hence the name. Computer users have the option of several different Microsoft Office suites intended for students, home users, small businesses and corporations.

  15. Github
  16. GitHub is a Git repository hosting service, but it adds many of its own features. While Git is a command line tool, GitHub provides a Web-based graphical interface. It also provides access control and several collaboration features, such as a wikis and basic task management tools for every project.

  Here is my github

Technological domains

Here is an overview of technologies that I am interested in.

Data Science

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. A data scientist analyzes business data to extract meaningful insights using ML algorithms such as regression, clustering and decision trees etc.

Machine Learning

Machine Learning forms the heart of Data Science. Machine learning is a method of data analysis that automates analytical model building. There are four basic approaches: supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.

Artificial Intelligence

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

Other

Other technologies that makes technological world more interesting are IoT, Web Development, Cyber Security, Cryptocurrency and many many more!.