Science with Python

Science with Python


A primary goal of education is to develop problem-solving skills among the younger generation of our society. The present world has brought forward numerous challenges that require out-of-the-box thinking to solve those problems. To solve complex problems, students must develop critical thinking skills that involve deep thinking about a problem and breaking down a problem into simpler, easily solvable steps. Traditionally subjects like Mathematics and Science require students to think critically to solve problems. Studies indicate that a majority of students struggle with problem-solving as it is challenging for students to mentally break down individual steps of an abstract concept or problem. Instead, an example-driven, hands-on approach is shown to have better results in helping students develop problem-solving and critical thinking skills. An excellent example of this approach is to learn computer programming. Writing a computer program encourages the student to explicitly write out individual steps necessary to solve a given problem which allows the student to engage in deep thinking and understanding of individual steps required to solve a given problem.

Science with Python Course for University and College:

Science with Python

Science with Python for University and College is a python programming course designed for the first semester (1st Sem) students enrolling in one of the Science disciplines in a University or College. The course involves hands-on teaching of how to solve scientific problems using python specifically how to perform simulations of scientific models and how to develop python code to represent the scientific problem/model that needs to be solved. A brief outline of the topics covered are provided below:

Python Topics covered: Introduction to Python, Variables and Data Types, Mathematical Operations, List and Dictionary, if – else, while, for, Functions, Numpy, Pandas, Matplotlib, Independent projects. All these topics will be explained.

Science Topics Covered: Unit Conversions, Scientific Notation, Complex number, Quadratic Equations and roots of equations,  Progressions(AP, GP, HP),  Binomial Series, Co-Ordinate Geometry, SciPy and SymPy (for Calculus), Matrices, Determinant, Eigenvalue & Eigenvector, Gas Laws, Chemical Thermodynamics, Equilibrium, Kinematics, Laws of Motion, Work Power Energy, Gravitation, Properties of Bulk Matter, Heat and Thermodynamics, Oscillation and Waves, Optics, Radioactivity

How would learning Science with Python help in the future:

From an educational perspective, learning Python helps develop critical-thinking skills and helps understand the underlying physical principles of scientific concepts. In higher education, e.g. Undergraduate, Graduate, and Post-Graduate studies, students with a background in python programming will have an advantage over students without computer programming experience as a student with python programming experience will (a) be able to quickly develop concrete steps to solve research problems by critically thinking about solving the problems, (b) create a scientific model and simulation addressing the research questions, (c) rapidly generate publication-quality documents and figures. From a professional job perspective, having experience with a computer programming language will allow (a) the candidate to pick up any other programming language that is used by the organization employing the candidate, (b) undertake statistical data analysis or modeling using python if the organization does not have any specific modeling software, (c) most modeling software these days come with a python add-on for adding user-specific instructions so someone experienced in python will have an advantage.

Why Python and Science course at M/s Natsol Consultant is unique?

There are an innumerable number of python courses available through the internet some paid and some free so what makes M/s Natsol Consultant’s course unique?

  • Our course is taught by experienced teachers with more than 17 years of teaching experience in Science, Mathematics, and Computer Programming in numerous programming languages.
  • Our teachers offer a wide variety of Python-related professional courses for the industry.
  • The course is a hands-on course where the student and the teacher write code together and the course follows the pace the students are comfortable in.
  • Python syntax and its application are taught using real-life scientific problems.
  • Students are initially given small projects which are evaluated followed by a larger project where the student can use their smaller project/s.
  • At the end of the course, the student will get a professional certificate of completion from a corporate business house and a leader in Python Application in Geoscience Industry in India.
  • We are happy to customize the course according to the needs of any academic or business institution and provide a joint certificate with the institution.

Contact Information:

The course is offered online. Please contact Mr. Pragnyadipta Sen (Director of Training of M/s Natsol Consultant) at or call +91-8902069644 to discuss formalities.