Dev Data Science Hub

Our mission is to empower individuals with the skills and knowledge they need to navigate the data-driven world of today, no matter their field of expertise.

[Dev Data Science Hub @devdatascience]

Unlock the potential of Python's SciPy library for powerful data manipulation. Dive into our comprehensive guide with real-world examples and detailed code breakdowns to enhance your data science skills.

https://t.co/sL9uG8UlzJ

[Dev Data Science Hub @devdatascience]

Sora looks incredible, but man we are really pushing into dangerous territory because many new deepfakes will continue to appear and thrive with easy to access technologies like this

[Dev Data Science Hub @devdatascience]

@CodingLanguages

[Dev Data Science Hub @devdatascience]

@charliebennett Do every piece of content need to meet all 4 criteria to have value?

[Michael Girdley @girdley]

Over 25 years and 1,000s employees, I've learned:

Good bosses do some uncommon things.

Here are the 11 of them you should copy:

(1/x)

[Dev Data Science Hub @devdatascience]

Testing is incredibly frustrating when you run into packaging problems with versions

[Dev Data Science Hub @devdatascience]

If you could ask for a product that could solve your most frustrating problems what would it be?

[Dev Data Science Hub @devdatascience]

@albertwedwards Does learning all the new buzzword packages count as unnecessary topics?

[Dev Data Science Hub @devdatascience]

This might be crazy but I need to handwrite when coming up with new logic/improvements to make sure that I don’t forget and retry something that didn’t work

[Dev Data Science Hub @devdatascience]

Anyone have any recommendations for accounts they would follow for solo entrepreneur advice

[Dev Data Science Hub @devdatascience]

I’m excited to announce that I’m finalizing a data automation tool and looking for subscribers to sign up to test the beta version! Learn more below!

https://t.co/BKAFMgopzr

[Bojan Tunguz @tunguz]

One of the trickiest things in your career is “timing” of your skills. Be careful that you don’t waste too much time on acquiring skills that are way ahead of what the actual demand in the marketplace for them is.

[Dev Data Science Hub @devdatascience]

Todays goal is figure out of how to deploy via Flask

[Your Coding Teacher | Programming Tips @YoCodingTeacher]

Every great coder became great the exact same way: the way of doing everything opposite of the standard advice.

Enough with the "shiny object syndrome": the latest framework, the newest database, etc.

Focus on mastering the fundamentals of programming first.

[Dev Data Science Hub @devdatascience]

Great example for something I was learning about earlier today

[Nikki Siapno @NikkiSiapno]

CORS Explained.

Web browsers use Cross-Origin Resource Sharing (CORS) to manage requests made to a different domain than the one serving the web page. It's a security mechanism to mitigate the risks of cross-site request forgery and other cross-site attacks.

To get a clear picture of how it works, let’s break down the CORS workflow:

1) Initiation of a request from a web page
The process starts with a web page (origin A) trying to access a resource of a different origin (origin B).

2) “Simple” or “non-simple” request check
Before initiating the actual request, the browser checks if the request is "simple" or "non-simple". A "simple" request typically includes methods like GET, POST, or HEAD and a limited set of headers. If the request is "non-simple", the browser initiates a preflight request.

3) Preflight request (for non-simple requests)
After the browser has completed its “non-simple” request check, if the request is “non-simple”, it will send an OPTIONS request to the target origin (origin B). The headers included will provide details of the actual request it wants to make.

4) Server response to preflight request
Once the server (origin B) receives the preflight request, it will send a response. If the server decides that the origin is allowed to access the resource, it will respond with a set of headers that stipulate so. The browser will reject the actual request if the server doesn't provide the right headers or if those headers don't match the details of the request itself.

5) The actual request is sent
Now that the preflight request is all out of the way (successful or not required), the browser can make the actual request to origin B. The request will include any necessary headers, credentials, or data.

6) Server response to the actual request
Once the server (origin B) receives the request, it then processes it and sends a response. Along with the response, the server will still send the appropriate CORS-related headers.

7) Browser enforcement
Last but not least, the browser will check the CORS headers in the response a final time. If everything checks out then the browser provides the response to the web page’s JavaScript. If not, then the browser will block access to the response and log a CORS error in the console.

CORS ensures that servers have control over who can access their resources. Browsers enforce these rules to protect users from potential security threats. Whilst CORS does introduce an additional layer of complexity, it provides an effective security measure to ensure safe cross-origin data sharing.

[Dev Data Science Hub @devdatascience]

Looking for recommendations on whether to use Microsoft, Google, or AWS to host an API. Trying to keep costs low during test

[Dev Data Science Hub @devdatascience]

@Olatunji_23 Python >>> R

[Dev Data Science Hub @devdatascience]

Looking for advice on how to take a python GUI and make it a web application #webapp #python

[Dev Data Science Hub @devdatascience]

@maikpaixao Do you consider what ChatGPT produces for code to plagiarism?

[Dev Data Science Hub @devdatascience]

No matter what you do, if you code you should leave comments that someone would easily be able to understand what is happening in the code

[BowTied_Raptor|Data Science & Machine Learning 101 @BowTied_Raptor]

How should you comment your code?
A while back me (Data Scientist), and @BowTiedCelt (Data Engineer), and @BowTiedCrocodil (Software Engineer) had a conversation on this. Here is a quick summary

[Dev Data Science Hub @devdatascience]

@Malikjan_Attar1 Let me know if you need anything!