BC GPT CHEAT LL
Saved by @Smatpix

11 ways ChatGPT saves me hours of work every day, and why you'll never outcompete those who use AI effectively.

A list for those who write code:

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 1. Explaining code

Take some code you want to understand and ask ChatGPT to explain it.

I've found explanations are very detailed. This is much quicker than trying to figure out convoluted code.

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2. Improve existing code

Ask ChatGPT to improve existing code by describing what you want to accomplish.

It will give you instructions about how to do it, including the modified code.

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3. Rewriting code using the correct style

This is great when refactoring code written by non-native Python developers who used a different naming convention.

Notice how ChatGPT not only gives you the updated code; it also explains the reason for the changes.

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4. Rewriting code using idiomatic constructs

Very helpful when reviewing and refactoring code written by non-native Python developers.

ChatGPT knows the "Pythonic" way, and it will give you suggestions to improve your code and make it much more readable.

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5. Simplifying code

This is one of my favorite tricks: Ask ChatGPT to simplify complex code.

The result will be a much more compact version of the original code.

Notice the explanation and how it tells us this is simpler but not the most efficient.

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6. Writing test cases

This has become one of my favorite ChatGPT abilities: Ask it to help you test a function, and it will write test cases for you.

This example focuses on the quick_sort function from the previous example.

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7. Exploring alternatives

ChatGPT told me its Quick Sort implementation wasn't the most efficient, so I asked for an alternative implementation.

This is great when you want to explore different ways to accomplish the same thing.

I've learned a ton from this!

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8. Translating code

Anytime you want to port some code from one language to another, ask ChatGPT to help you.

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9. Writing documentation

This is another one of my favorite tricks.

Ask ChatGPT to write the documentation for a piece of code, and it usually does a great job.

It even includes usage examples as part of the documentation!

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10. Tracking down bugs

If you are having trouble finding a bug in your code, ask ChatGPT for help.

It took ChatGPT seconds to find the bug in the attached example. I don't know about you, but it would have taken me much longer than that.

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11. Scaffolding

Probably the way I use it the most is to kick off the structure of anything new I want to write. GitHub Copilot does a great job at this as well.

An example where this is very useful is when interacting with a RESTful API.

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Something to keep in mind:

I have 2+ decades of programming experience. I like to think I know what I'm doing.

I don't trust people's code (especially mine,) and I surely don't trust ChatGPT's output.

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This is not about letting ChatGPT do my work. This is about using it to 10x my output.

ChatGPT is flawed. I find it makes mistakes when dealing with code, but that's why I'm here: to supervise it.

Together we form a more perfect Union. (Sorry, couldn't help it)

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Developers who shit on this are missing the point.

The story is not about ChatGPT taking programmers' jobs. It's not about a missing import here or a subtle mistake there.

The story is how, overnight, AI gives programmers a 100x boost.

Ignore this at your own peril.

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Next time, I'll show you how to build an end-to-end deep learning model using ChatGPT.

I'll only ask questions.

It'll blow your mind.

Follow me @svpino to ensure you don't miss it.

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More from Santiago

Santiago
Santiago
@svpino
I sat next to one of the smartest, most successful software engineers in the country for over 10 years.

Here's what I learned.

Fast is 10 times better than good.

9 out of 10 times, a "good enough" solution is all you need to unlock time, money, and attention.

Focus relentlessly on being first. Then take the time to be right.

Fast, then right.

Ship more frequently.

The faster you show your work to your users, the faster you'll hear their feedback, you'll adapt, and you'll ship again.

A question you should ask every day:

What can I do to ship this one day before planned?

Technical debt is a good thing.

Everyone hates technical debt. I think they don't know how to take advantage of it.

When used appropriately, technical debt means working on what truly matters and deferring anything that can wait.

No debt ⟶ You waited too long.

Ask, don't think.

People burn their time every day instead of asking for help.

You don't get extra points for working harder, especially when a little help will make you faster.

Time is your most valuable resource. Don't waste it.
DS
Santiago
Santiago
@svpino
You gotta think about this one carefully!

Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)

The test is 99% effective in detecting both sick and healthy people.

Your test comes back positive.

Are you really sick? Explain below 👇

The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through


You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.

👇


Here is what we know:

- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative

Assuming 1 million people take the test (including you):

- 100 of them are sick
- 999,900 of them are healthy

👇

Let's now test both groups, starting with the 100 people sick:

▫️ 99 of them will be diagnosed (correctly) as sick (99%)

▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)

👇
HEALTH
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Santiago
Santiago
@svpino
12 machine learning YouTube videos.

On libraries, algorithms, tools, and theory.

↓

1. Jupyter Notebooks: https://t.co/HqE9yt8TkB

2. Pandas: https://t.co/aOLh0dcGF5

3. Matplotlib: https://t.co/tKADpmihkh

4. Seaborn: https://t.co/s8EUxh6x1f


5. Numpy: https://t.co/pJoc0Lfjwm

6. Decision Trees: https://t.co/tKtUpO1K3l

7. Neural Networks: https://t.co/bc7emyjc9q

8. Scikit-Learn: https://t.co/LrKG7cMxRq


9. TensorFlow: https://t.co/fhO6T9sblU

10. PyTorch: https://t.co/5w9mJxijdd

11. Essense of Linear Algebra: https://t.co/o3kOnxl90i

12. Essense of Calculus: https://t.co/rfo7v0cpR4
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Santiago
Santiago
@svpino
Here is a simple example of a machine learning model.

I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.

It's TensorFlow and Keras.

If you are starting out, this may be a good puzzle to solve.


The goal of this model is to learn to multiply one-digit
TECH
Santiago
Santiago
@svpino
Beginners guide to start with machine learning.

What you need:

1. A programming language
2. A place to write and run code
3. A way to deal with data
4. A way to visualize results
5. A cool algorithm
6. An introductory course
7. A project to solve

Here are my recommendations.

Most people recommend Python to start.

I do too.

You can do machine learning with many different languages, but today, Python is the best option.

My advice: Get comfortable writing code before looking into machine learning.

You don't have to be a great developer to start.

But if you are, it helps.

Everything you know about building software is helpful to build machine learning systems.

Good developers have the odds in their favor.

"How much Python do I need to know before starting?"

If you ask, you aren't ready yet.

Ideal scenario: You should be comfortable building software. Most people get here within a year.

Let's move on to the 2nd item from the list: A place to write and run your code.

Get familiar with Google Colab.

• It's free.
• Requires no setup to start.
• It's available from anywhere.

Alternative: Kaggle.
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Hancock, Whitty, Vallance & Ferguson Stand Accused of Pandemic Fraud.

After yet more damning evidence arose last week, further additions had to be made to the court papers, which we are now aiming to lay in the coming week.

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The four defendants will be Matt Hancock, Chris Whitty, Patrick Vallance and Neil Ferguson, each of whom has inextricable and ultimately incriminating connections with Bill Gates and Big Pharma.

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As well as three counts of fraud by false representation and seven counts of fraud by non-disclosure, under sections 2 and 3 of the Fraud Act 2006, we can now also prove that the entire worldwide scamdemic originated on these shores.

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In fact, we can show that, without the dishonest statements and non-disclosures of the four defendants we are initially proceeding against, COVID-1984 would not have transpired.

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Furthermore, the 1st defendant, Matt Hancock, cannot rely upon the defence of Parliamentary Privilege, on the ground that none of the evidence relied upon by the prosecution is capable of preventing parliamentarians from carrying out their lawful business in Parliament.
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Gal Gur \U0001f1ee\U0001f1f1
Gal Gur 🇮🇱...
@GalGur_
1/
Hello, my name is Gal,
I am an Israeli citizen, and I want to convey this urgent message to the world: Contrary to what you are told, Israel has not "returned to normal" in any way >>

2/ Moreover, despite the desire to create a setting as if there was a full and normal routine here - the Israeli Ministry of Health JUST RECOMMENDED TODAY TO EXTENT THE DECLARATION OF A “STATE OF EMERGENCY” in Israel >>

3/ to which is the foundation for coercion, violation of basic rights, severe discrimination under a "green mark (pass)", prolonged closure (Of about 5 months overall) and a lot of undemocratic and not “routine" restrictions. >

4/ If the situation in Israel had "returned to routine thanks to the astounding success of vaccines" then the "state of emergency" would not have continued.

5/ In fact, since the beginning of the "vaccination project" there has been only more intimidation and in many ways - even though the closure has been lifted, much more coercion.
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Aditya Todmal
Aditya Todmal
@AdityaTodmal
12 TRADING SETUPS which experts are using.

These setups I found from the following 4 accounts:

1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4. @DillikiBiili

Share for the benefit of everyone.

Here are the setups from @Pathik_Trader Sir first.

1. Open Drive (Intraday Setup explained)


Bactesting results of Open Drive


2. Two Price Action setups to get good long side trade for intraday.

1. PDC Acts as Support
2. PDH Acts as


Example of PDC/PDH Setup given
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Varahi Amman, Madurai, Tamilnadu

Vaarahi is one of the Saivite Shakti deities with the group of goddesses known as SAPTAMATAS.
They are: Brahmi, Maheshwari, Kaumari, Vaishnavi, Vaarahi, Mahendri and Chamundi. 1/n


They are the Shakti (female) equivalents of their male counterparts. Vaarahi is the Shakti of Bhairavar who is one of the Amsam of Bhairavar.Created from the boar avatara of Vishnu, Vaarahi is often associated with Goddess Kamala (one of the Mahavidyas). 2/n


She is also called Dandini (Lady Commander of the forces of the Mother-Goddess, symbolizing the might of SriVidya). As Vaarahi ("hog-faced" or "the great consumer") she destroys evil forces that obstructs the devotees' progress, paralyses the enemies 3/n


and led the devotees ultimately to SriVidyas. She is also called Panchami). With Kurukalla, she is accorded the parental status to Sri-Chakra (Lalita Tripura-Sundari). While Kurukalla represents the full moon, Vaarahi represents the new-moon. 4/4

Jai Maa Varahi 🙏


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