5 Python Clean Code Tips
1οΈβ£ Always specify return types
2οΈβ£ Use Type Hints
3οΈβ£ Avoid if-else pyramids
4οΈβ£ Use *args
5οΈβ£ Avoid pass/ellipses
Mar 11 β’ 14 tweets β’ 3 min read
In my 11 years of working in tech I've had ZERO bad appraisals
Today let's try to understand corporate appraisals.
β’ What are appraisals ?
β’ How do they work ?
β’ Reviews & Ratings
β’ Increasing your odds of getting a better appraisal
!!! Disclaimer !!!
Appraisal processes vary from company to company & heavily linked with market conditions but the general framework used by most companies to give appraisals more or less remains the same & the points shared here are for knowledge sharing & not a framework
Feb 16 β’ 10 tweets β’ 3 min read
Use these 8οΈGithub repositories to learn Python betterπππ
1οΈ A collection of useful scripts, tutorials, and other Python-related things
No Bullshit Tips For Cracking A Tech Interview As A Grad
I've interviewed a few hundred graduates by now. Interviews aren't college exams, they are two way conversations and here is what the successful candidates did right.
[ Bookmark for later π ]
{ The Resume Is Your First Impression - Make It Count }
β’ A clearly crafted resume showing you projects, academia and skills that you can actually demonstrate
β’ Anything that you don't know shouldn't be there just because it's trending in the market
Nov 18, 2023 β’ 7 tweets β’ 2 min read
Kaggle is a superb platform for Python & Machine Learning
Open this if you wish to use it to maximum potential β¬β¬β¬
{ Explore the Learn Section }
β Knowledge goldmine
β Resource to learn everything you need to get started & free
Deploying Machine Learning Model With Flask-RESTful π§
β Objective: Predict salary of candidate based on experience, test score & interview
Libraries used
1) Scikit Learn π 2) Numpy π 3) Flask-RESTful π
Before we begin my previous threads on FLASK-RESTful should be studied to understand some important concepts used to build the app
Problem Statement: Model the demand for shared bikes with the available independent variables
Libraries used
> pandas
> numpy
> seaborn
> scikit-learn
> matplotlib
Step 1: Reading dataset and inspecting it
May 5, 2023 β’ 9 tweets β’ 3 min read
Datasets can be messy and have missing data
β Just `pip install missingno`
A 𧡠on this handy library you can use in Machine learning to get visual summary of the dataset
In case you missed the previous threads in this series β¬οΈ