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PYGlobal variable in Python...
Global variable is created outside the class and can be accessible anywhere in the entire program..
#python #globalvariable #pythonlifecareer
#pythonprogramming
@pythonlifecareer
#What Is A Controlled Variable
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BR⚡💡 Not just wires… this is PURE POWER in motion!
From a tiny battery 🔋 to a glowing bulb 💡—this flow is the heartbeat of electricity 🔥
Charges start moving ⚡, circuit completes 🔄, and suddenly… darkness turns into LIGHT ✨
Electrons rush from – to + 🧲
While current flows + to – ➡️
Opposite directions… one powerful result 💯
Resistor controls the flow 🎯
Energy transforms 🔁
And BOOM 💥 light appears!
This isn’t just a diagram…
this is how the world runs 🌍⚡
Fans spin 🌪️, phones charge 📱, cities shine 🌆
Everything depends on this invisible flow 🔥
Remember this👇
No circuit = No life of electricity 🚫
Understand the flow…
and you understand POWER 💪⚡
#electriccurrent#sciencefacts#physics#electricity#education
@brainyatra
288.1K
TYWhat y’all know bout Damped, Undamped, and Overdamped System Responses? 👀
I’m talking overshoot, peak time, all of it 😂
#explorepage✨ #engineering #fyp #explore
@tyrese.bishop
107.7K
AEThe genius engineering behind variable vanes!
#aviation #aerospace #engineer #science
@aerojashan
18.8K
PH⚡ AC Power & RMS Value (Simple Explanation)
🔌 What is AC Power?
In an alternating current (AC) circuit, voltage and current continuously change with time (usually sinusoidal).
So, power is not constant like in DC—it keeps varying.
👉 Instantaneous power:
Because voltage and current can be out of phase, average power matters more.
⚡ Average Power in AC
For a complete cycle:
�: RMS voltage
�: RMS current
�: Power factor (phase difference)
📊 What is RMS Value?
RMS (Root Mean Square) is the effective value of AC.
👉 It tells us:
“What DC value would produce the same heating effect as AC?”
📐 RMS Formula (for sine wave)
�
�: Peak voltage
�: Peak current
👉 Example:
If peak voltage = 325 V
Then RMS = 230 V (standard household value)
🔥 Why RMS is Important?
Used in household electricity ratings
Helps calculate real power consumption
Important in heating effect of current
⚡ Key Takeaways
AC power varies with time
RMS gives effective (usable) value
Average power depends on power factor
Formula: �
#physicsvibespk #FBISE #RCcircuits #fscphysics #trending
@physicsvibespk
31.5K
CH🔥 Control Valve and their Parts 🔥
#chemicaliq #chemicalengineers #chemicalengineering #engineers #engineer
@chemical_iq
368.3K
VIWhy quants never trust their covariance matrix ?
Most portfolio optimization models rely on the covariance matrix.
500 stocks = 125,000 parameters to estimate from only 252 trading days. More relationships than data points. Most of what you estimate is noise.
Marchenko and Pastur (1967) showed that pure random data produces a predictable eigenvalue distribution. Overlay it on real data and you can separate signal from noise.
On S&P 500 data, only a handful of eigenvalues sit above the noise band. The rest is random fluctuation.
That’s why quants clean the matrix before optimizing, using eigenvalue clipping, shrinkage (Ledoit-Wolf), or other regularization methods. Factor models and Bayesian approaches also address the same problem.
The core idea: if you don’t question your inputs, no optimizer will save you
#quant #algotrading #trading #portfoliomanagement #finance
@vince.quant
196
ROOne path, one flow… but one mistake = everything stops ⚡
Series circuits are simple, but they come with a catch:
📌 Same current flows through all components
📌 Voltage gets divided
📌 One failure → entire circuit OFF ❌
📌 Formulas you must remember:
V = V₁ + V₂ + V₃
Rₜ = R₁ + R₂ + R₃
This is the foundation of circuit analysis—don’t ignore it.
👉 Follow @Rolectricity for real engineering concepts
👉 Comment “NEXT” for Parallel Circuit
#SeriesCircuit #ElectricalEngineering #ElectronicsBasics #EngineeringStudents #learnengineering
@rolectricity
179
ITVisualizing First Order Systems! 🚀
K = The "Where" (Steady State)
\tau = The "When" (Response Speed)
Save this for your next Control Systems exam! 💾
#STEM #EngineeringLife #Automation #MathVisuals #ControlSystems
@itutorials.jbp
37.6K
SNI’ve been teaching informally for a while, and this year I decided to take it more seriously.
Constant Variable is a platform I built myself where every concept is explained from first principles, the way I wish someone had explained it to me when I was preparing. Mocks are on the way as well.
If you’re preparing for CAT or know someone who is, please check it out and share your feedback. Link’s in the bio.
@snikhil.97
0
UP👉 How Pneumatic Control Valve Works (Control valve Actuator and Positioner Types)
🔷️ Watch the full video or read the article at ▶ upmation.com/control-valve
🔷️ More videos on YouTube ▶ youtube.com/c/upmation
================================
A control valve is a type of valve that we use to control the flow, pressure, level, or even the direction of the fluid according to the need of the process.
Control valves have lots of different types such as globe valves, butterfly valves, diaphragm valves, and so on.
So, let’s see what we can learn about one of the important final control elements in the industry, that is the control valve.
#controlvalve #controlvalves #instrumentation #instrumentationengineering #industrialautomation #globevalve #globevalves #instrumentationandcontrol #actuator #positioner #Upmation
@upmationdotcom
392.3K
MAThe anatomy of a bounce! 🎢🎛️
First-order systems just smoothly climb to their destination, but Second-Order Systems? They have momentum. They overshoot, they ring, and they oscillate!
When you model and analyze a physical system like a car's suspension or a robotic arm, its dynamic behavior is entirely controlled by these three parameters:
🟢 **Natural Frequency (ω_n):** Look at the green dashed line! If your system had absolutely zero friction or resistance (zeta = 0), this dictates how fast it would continuously vibrate forever.
🔵 **DC Gain (K):** Just like we saw in first-order systems, this is your final destination. Increasing K simply scales the final steady-state amplitude up or down.
🔴 **Damping Ratio (zeta):** The ultimate shock absorber! When zeta is low, the system is underdamped and bounces wildly before finally settling. As you crank the damping up, it acts like the brakes, squashing those oscillations until the system smoothly glides to the target.
Visualizing these variables in motion completely changes how you understand control theory. Instead of just staring at variables in a textbook, you can actually see the physics happening! ✨
Pop quiz: What specific damping ratio (zeta) gives you the critically damped "sweet spot" (the absolute fastest response time without any overshooting)? Let’s see who knows their control theory in the comments! 👇
#ControlSystems #Mechatronics #ElectricalEngineering #EngineeringStudent #SignalProcessing EngineeringMath
@mae.academy
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