The Academic Superstar's Research Summoning System

Before Lu Feng could process the impact of those words, his roommates, who had just finished playing basketball and were changing clothes, suddenly perked up and surrounded him, all shirtless.

"Damn, Viagra, that's a great idea!"

"Old Lu, get one! Get one too! I want to see one!"

"Not just movies, but also paid novels and comics, right...?"

For a moment, the dormitory was filled with a cheerful atmosphere.

Their eyes were gleaming with a green light.

Lu Feng looked at the group of people in front of him and couldn't say a word.

He felt as if he were standing between two completely separate worlds.

In one world, he is discussing gravity, spacetime, and electromagnetic fields with figures of Newton and Tesla in the vast scientific galaxy.

Meanwhile, in another world, his roommates are eagerly asking him to help them find the actress for a period drama.

The sense of loss was even more intense than falling directly from a tokamak device into ice water.

What about the overall picture?

Lu Feng silently closed his laptop, his movements utterly devoid of any emotion.

He stood up, pulled his washbasin from under the table, and turned to walk towards the door.

"Old Lu? Where are you going?" Zhang Wei was a little confused by his reaction.

"Take a shower, go to sleep."

Lu Feng left without turning his head, uttering just two words.

"No, about the movie..."

"Find a way yourself."

In the bathroom, warm water gushed from the showerhead, washing over Lu Feng's body and gradually calming his somewhat chaotic thoughts.

Although his roommates' requests were outrageous, they also served as a reminder to him.

If he only uses his current programming skills to write papers or win awards in modeling competitions, it would be a huge waste of his talent.

Data processing.

Both his own exoskeleton project and Professor Li Hongde's research on gear dynamics involve the analysis of massive amounts of experimental data.

In his previous life working in a factory, he spent an entire week manually screening and labeling data to process a batch of vibration signals, an incredibly inefficient process.

What if we could develop software specifically for data processing and analysis?

A software that can automatically clean data, extract features, perform model fitting, and even automatically generate analysis reports based on a preset algorithm library.

Once this thing is made, its value will go far beyond simply saving you time.

How many college students across the country are going bald from struggling with data processing for their graduation theses?

How many graduate students are staying up all night doing data analysis for research projects?

And then there are businesses and research institutions whose need for efficient data processing is endless.

Behind this lies a market that is larger than anyone can imagine.

More importantly, such software is itself a huge collection of data models.

Each run and each processing step is a verification and optimization of the algorithm, which is of immeasurable help to his understanding of deeper mathematical and physical laws.

Lu Feng turned off the tap, wiped his face haphazardly with a towel, and his eyes were already burning with a fierce flame.

He even came up with a name.

Let's call it...

"University Data Sauce".

Yes, it's easy to understand and down-to-earth.

It's similar to a certain question-searching tool.

When they returned to the dormitory, Zhang Wei and his friends were already lying on their beds, watching downloaded movies on their phones, occasionally letting out lewd laughter.

Lu Feng reopened his laptop, and this time, his goal was crystal clear.

Create a new folder.

Rename it to: "University Data Sauce".

Instead of immediately starting to code, he took out a pen and paper and quickly sketched out the overall architecture of the software on the draft paper.

Core modules: data interface, preprocessing module, algorithm engine, and visualization module.

"The data interface must be compatible with mainstream .txt, .csv, and .mat formats."

"The preprocessing module must include filtering, noise reduction, normalization, and missing value imputation functions."

"The algorithm engine is of paramount importance. Initially, we'll integrate a few basic ones, such as Fourier transform, wavelet analysis, and linear regression..."

"The visualization module should be able to generate various two-dimensional and three-dimensional charts with one click."

In less than half an hour, a complete software architecture diagram appeared on the paper.

The next step is to translate these ideas into lines of code.

Lu Feng took a deep breath and opened the Python development environment.

He did not choose the rigor of C++, nor the closed nature of MATLAB.

Python's third-party libraries are the best choice to realize his idea.

Time slipped away quietly amidst the tapping of the keyboard.

The dormitory lights went out, and the screens of Zhang Wei and the others' phones went dark one after another, with even breathing sounds rising and falling.

Only the small desk lamp on Lu Feng's desk remained lit.

The night outside the window grew deeper and deeper, but he was completely unaware.

After he finished writing the last function of the preprocessing module, he stretched his stiff neck and glanced at the time in the lower right corner of the screen.

It's 1:30 a.m.

He had been working for more than six hours straight, but he was still unusually energetic.

"University Data Sauce" is halfway done.

Although the algorithm library only contains basic functions, the core framework is already in place.

"Come on, give it a try."

Lu Feng randomly downloaded a publicly available bearing vibration dataset from the internet. It was a .txt file containing tens of thousands of data points.

He entered the file path into his program and then selected the "Fast Fourier Transform" function.

Finally, he moved the mouse and hovered the cursor over the "Run" button, which was drawn using the simplest graphics library.

Simply click, and the program will read the data, perform calculations, and then draw the spectrum.

He pressed the Enter key.

The code on the screen suddenly froze.

The mouse cursor froze in mid-air, motionless.

Lu Feng thought to himself, "This is bad, this old man's computer..."

Immediately afterwards, a patch of blue instantly filled the entire field of vision.

A line of white English error code on a blue background.

"A problem has been detected and Windows has been shut down to prevent damage to your computer."

The laptop fan has also stopped making noise.

Holy crap, are you kidding me?

Lu Feng sighed: "As expected, laptops are still limited; some things still require desktop computers."

He remembered the brand-new computer Zhou Mingyuan had previously purchased in the laboratory building.

It features an i7 processor, 32GB of RAM, and a professional-grade graphics card specifically designed for scientific computing.

I estimate that driving this data should be no problem. We'll see if we can import a few more model data later.

It seems that some things need to be done in a different place.

The main problem is that this computer is too old-fashioned; it doesn't quite match the Lenovo IdeaPad Y480.