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SQL Query: 3 Methods for Calculating Cumulative SUM

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SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than or

Robotics These Skills You Need

Robotics is a combination of multiple skills. Out of those many skills similar to B.Tech Electronics skill sets. I am sharing for your quick reference the complete skillset.


These skills are very much needed to become a Robotics Developer


PROGRAMMING

  • Mat lab - Familiarity with command-line and external functions using MATLAB library; import/export of data; graphing/plotting functions & data; rudimentary animation
  • Python, C / C++ familiarity
  • ROS- Robot Operating System (ROS) - Optional (Good to know)
  • Program Constructs- Sequencing, Selection, Iteration & Recursion
  • Data Organization- Arrays, Lists, Pointers

COMPUTERS

  • Tools Productivity: SW (MS Office - Excel / Word / PowerPoint / Project)
  • Operating Systems
  • Windows or Apple-OS - use of personal laptop computer Linux or Ubuntu

MATHEMATICS

  • Linear Algebra Inversion, Eigenvalues, Null-Space
  • Linear Differential Eq. Matrix-Algebra & -Manipulation
  • Basic Calculus Derivatives, Gradients, Chain Rule
  • Numerical Integration Basic Computational Implementation, e.g. Runge-Kutta 4
  • Fourier Analysis

Newtonian Physics

  • Newton-Euler Mechanics (Forces, torques, mass/inertia, Equations of motion) System State Degrees of Freedom & Constraints to fully describe a system’s behavior mathematically.

CONTROLS

  • Control Systems, Controls Fundamentals (transfer functions; bode plots; stability-margin; time-response of LTI systems; PID compensators).

Basic Electronics

  • Electronics- Basic experience with practical circuits (elements, interactions, PCBs) Mechanisms- Some design and fabrication experience (Concept -> CAD -> Fabrication) Documentation -Basic skills in document structuring and technical writing.

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