Pujan Thapa

Pujan Thapa Software Engineer, Traveller

If you're ever working with random JSON data and want to generates type info from it, quicktype.io is *amazing*.Just pas...
07/11/2022

If you're ever working with random JSON data and want to generates type info from it, quicktype.io is *amazing*.

Just paste in some JSON and it infers TypeScript types. It also handles lots of other input + output combos and is free + open source.

Source: https://twitter.com/transitive_bs/status/1589390829822816257?t=dD1ZHdDCmmRToHfkH5zsqw&s=19

“If you're ever working with random JSON data and want to generates type info from it, https://t.co/SUIbWg3GZj is *amazing*. Just paste in some JSON and it infers TypeScript types. It also handles lots of other input + output combos and is free + open source.”

View from Bethanchowk, Narayanthan. Location: Kavre, Nepal🇳🇵
02/05/2022

View from Bethanchowk, Narayanthan.
Location: Kavre, Nepal🇳🇵

25/02/2021

💯It’s called Awesome and it’s AWESOME 😍

Dive into this ocean of knowledge and resources, anything you could ever think of in any software developing platform

Languages from Python to R, Java, C, Swift, Scala, even PHP, oh dear! 👏
Front end, Back end, Data Science, Gaming, Security, even Books, and Hardware

👉Each one of the topics below is a treasure chest itself
Platforms
Programming Languages
Front-End Development
Back-End Development
Computer Science
Big Data
Theory
Books
Editors
Gaming
Development Environment
Entertainment
Databases
Media
Learn
Security
Content Management Systems
Hardware
Business
Work
Networking
Decentralized Systems
Higher Education
Events
Testing
Miscellaneous
Related

👉GitHub Repo: http://bit.ly/3pLKIic
Share so all the developer's community benefits
And follow Omdena for more 😉

It's really great to see that MIT made open this course on computational thinking. Highly recommend it.
14/09/2020

It's really great to see that MIT made open this course on computational thinking. Highly recommend it.

This is an introductory course on Computational Thinking. We use the Julia programming language to approach real-world problems in varied areas applying data analysis and computational and mathematical modeling. In this class you will learn computer science, software, algorithms, applications, and m...

Here is my blog on how to export collections and subcollections from Firestore to BigQuery with existing data. If you ar...
13/07/2020

Here is my blog on how to export collections and subcollections from Firestore to BigQuery with existing data. If you are working on same domain or data engineers, do give a read and leave a feedback. Feedback are appreciated.

First step is to select your project if not selected. Here, my project id is bigquery-sandbox-281102 and the highlighted yellow text in…

Zip is its own inverse!a = (1, 2, 3, 4)b = (5, 6, 7, 8)ab_zip = zip(a, b) # ab_zip = [(1, 5), (2, 6), (3, 7), (4, 8)]zip...
25/06/2020

Zip is its own inverse!

a = (1, 2, 3, 4)
b = (5, 6, 7, 8)

ab_zip = zip(a, b)
# ab_zip = [(1, 5), (2, 6), (3, 7), (4, 8)]

zip(*ab_zip)
# returns [(1, 2, 3, 4), (5, 6, 7, 8)]

Credit : Twitter:

How to write elegant coding in Python?
30/05/2020

How to write elegant coding in Python?

How to Elegant Coding in Python .Typically, aesthetic programming was not a critical issue when we were studying in school. Individuals then follow their style when writing in Python. However, the work may be quite undesirable whenever we have to spend most of the time understanding one’s implicit...

Microsoft created the largest and most powerful language model.
17/02/2020

Microsoft created the largest and most powerful language model.

This figure was adapted from a similar image published in DistilBERT. Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation...

  is an irreplaceable part of every practitioner's Deep Learning toolkit.The best way to learn NumPy (that I know) of is...
10/12/2019

is an irreplaceable part of every practitioner's Deep Learning toolkit.

The best way to learn NumPy (that I know) of is this crash course

If NumPy is new to you - include this early in your /

https://cs231n.github.io/python-numpy-tutorial/

Credit: Liam Trask

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Monday 09:00 - 17:00
Tuesday 09:00 - 17:00
Wednesday 09:00 - 17:00
Thursday 09:00 - 17:00

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