Stand back! I'm doing a developer!

https://pypi.org/project/gutentag-world/

Monday, November 11, 2024 Progress Update

#365DaysofCode Day 316
#100daysofcode Day 50
#freeCodeCamp #Round_3_100daysofcode
#Python #GreatLearning #GitHub #CS50P #GameOff2024 #Pygame

Daily Reading:
freeCodeCamp news: 1 article
Daily.dev: 1 article
Tasks Completed:
Harvard CS50P: Watched Week 7 Lecture, diving deeper into concepts
Game Off 2024: Updated README on GitHub with new details

An easy way to remove an image background in Python. I prefer this as a time saver usually. #Python #pythonlearning

I know I'm singing to the choir here but as someone that hasn't used Python in my day job until recently, I continue to be happy with its extensibility and usefulness.

It is so obviously built by real people that use it to solve their everyday problems. Parsing files, creating reports, evaluating messy data. Wish I had this in my toolbox sooner.

Vuoi portare le tue competenze in Python al livello successivo e sostenere Python Italia? Anche quest'anno è possibile grazie alla nostra collaborazione con Apogeo!

5 bundle di ebook dedicati a Python – per un totale di 30 ebook – sono disponibili ad un prezzo speciale solo fino al 29 ottobre. Perfetti sia per chi è alle prime armi, sia per chi vuole approfondire e specializzarsi.

Scopri tutti i dettagli qui:
https://www.apogeonline.com/corsi/python-ebook-bundle/

Risk modeling is a fascinating aspect of data science, particularly in the context of Frequency-Severity modeling and Monte Carlo simulations.

Thanks to Gabriel Ryan for sharing this graph in a recent post, which explains the topic in further detail.

More information: http://eepurl.com/gH6myT

I started to learn Python two years ago and stopped because I had too much on. It's time to get started again.

I've created a series of tutorial posts on Principal Component Analysis (PCA) across my social media accounts.

- PCA Explained: https://www.facebook.com/joachim.schork/posts/pfbid02Yx3RHmDakew21EiZBU9ZAP8hSAqoERc3ThiMBwevYSDTwZh2b7JDgEHgB7TmWKtGl
- Pros & Cons of PCA: https://x.com/JoachimSchork/status/1820334157219647749
- How to Visualize PCA Results: https://www.linkedin.com/posts/joachim-schork_dataanalytics-rprogramming-bigdata-activity-7224307564044267520-V8Q1/

This series is also a teaser for my comprehensive online course on "Principal Component Analysis (PCA) – From Theory to Application in R."

Further details: https://statisticsglobe.com/online-course-pca-theory-application-r

[PyCrumble No. 6] #Python __dunder__ special methods:
What is the difference between __repr__, __str__ and __format__? (4/4)

You can use __format__ also to create your own format specifications. Just be creative!
#teachingpython #pythonlearning

[PyCrumble No. 5] #Python __dunder__ special methods:
What is the difference between __repr__, __str__ and __format__? (3/4)

__format__ ensures that you can use Pythons format string mini-language with your objects. A basic usage could look like this beyond.

More about format and its mini-language next time!

[PyCrumble No. 4] #Python __dunder__ special methods:
What is the difference between __repr__, __str__ and __format__? (2/4)

__repr__ is "what the developer wants to see", __str__ is "what the user wants to see". So you always want to implement __repr__ (especially for debugging) but __str__ is not as necessary.
#teachingpython #pythonlearning #oop #programming

[PyCrumble No. 2] The minimum number of special- or "dunder"-methods to implement in your #python classes for your objects to behave like standard Python lists. In which other programing language can you do such cool things?
#pythonlearning #pythonistas #oop

Data Science with Python Complete Course

#python #DataScience #pythonprogramming #pythonlearning

https://kukucourses.com/courses/data-science-with-python-complete-course/

Sure, here's the revised post:

#365DaysofCode
#OpenToCollaborate #CodeinPlace #Python #tech #development #code

June 02, 2024 - Day 154 Progress Report

Daily Reading:
freeCodeCamp news: Read 1 insightful article.

Stanford ~Code in Place:
Attended an engaging Python online event.
Data (Lists & Dictionaries) Review with Head TA Joseph.
Let's keep the momentum going!

#365DaysofCode #Day151: Progress Report

Date: May 30, 2024

Daily Reading:

FreeCodeCamp News: Insightful article
Daily.dev: Fascinating piece
Stanford ~Code in Place:

Attended section meeting
Completed Python project: "Compute Average"
Learned about Python dictionaries
Video Learning:

Watched "Simple Python Coder – File text into Python Dictionary" on YouTube: https://www.youtube.com/watch?v=lIXygTvV0p8
Let's connect and grow together!

Dive into the Python programming jungle with these amazing flashcards! Explore the world of coding through visually stunning illustrations of Python creatures, making learning both fun and educational. Level up your Python skills while enjoying the journey! #PythonFlashcards #CodingJungle #LearnPython #ProgrammingVisuals #CodeWithCreatures #PythonLearning #ProgrammersLife #TechEd #VisualProgramming #PythonCommunity #EducationalTech #CodeIllustrations #TechLearning #PythonAdventures

100 #python mini projects with source codes for #beginners
#guide #tutorial
#pythonlearning
#pythonprogramming #pythondeveloper #pythoncode
#DataScience #DataAnalytics
Pandas NumPy Scipy
#interpolation #search
#ProgrammingEducation
#edtech

http://newdigitals.org/2024/02/24/a-complete-python-learn-by-doing-guide-for-aspiring-data-scientists-2-100-basic-codes-to-try/

Quick Python Quiz - strip() Method!

Can you solve this quick exercise? What does the strip() method do in Python?

Drawing Histograms is so Simple in Python!

Drawing histograms in Python is so simple. Just import pandas, create a DataFrame and use the plot() function!

Incredibly Useful Function for Appending Data in Python!

Check out this amazingly helpful Python function for adding Data! Did you know it before?