Top 🐍 stuff of the week![August 18th]
Here are the hottest python blog posts and publications of the week👇
Top 15 best beginner projects ideas for new programmers
9 Amazing Things To Do With Python
15 Python tips and tricks every beginner should know!
Mastering Web Scraping in Python: Crawling from Scratch
Creating Your First Neural Network in Python with Tensorflow
Here are the hottest python projects and Github repos of the week👇
A simple, terminal password manager in Python.
Open-source Monocular Python HawkEye for Tennis
A python project that helps color blind people pass the color blind test
A terminal based zombie survival game written in python
A telegram bot written in python
A low dependency and really simple to start project template for python projects.
Here are this week’s hidden gems all about python 👇
Official Matplotlib cheat sheets
Learn a new Python Concept everyday in less than 1 Minute
I Analyzed 2k #DataScientist and #DataEngineer Jobs and This is What I Found. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Programming #100DaysofCode bit.ly/37NfyAGAnd to top it off, here are 3 neat python tips👇
You can unpack python tuples into individual vars like this:
my_tup = (0, 1, 2, 3) a, b, c, d = my_tup print(a, b, c, d) #output: 0 1 2 3
You can return multiple values from a function in python using the “yield” function:
def my_func(x): for i in range(x): yield i for k in my_func(9): print(k) #output: 0 1 2 3 4 5 6 7 8
Last but not least, here’s an easy way of getting the largest value within an array:
a = [4, 5, 1, 12, 33, 45, 417, 9, 6] print(max(*a)) #output: 417
or dataset:
import pandas df = pandas.read_csv('IRIS.csv') print(max(*df["sepal_length"])) #output: 7.9
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That’s it for this Python_Explore issue.
See you next Wednesday👋👋👋
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