Mastering Coordinate Geometry with Python Tutorials

New Instats livestreaming seminar: Plotting and Programming in Python Join our hands-on workshop on programming and plotting in Python for researchers—taught by The Carpentries and tailored for PhD students, postdocs, and research staff who work with tabular and longitudinal data. You’ll learn to set up a reliable scientific Python environment, wrangle and clean data with pandas, write reusable functions and modular code, apply plotting principles to produce publication-quality figures with Matplotlib/Seaborn, and adopt reproducible analysis workflows that reduce errors and accelerate manuscript-ready results; sessions blend conceptual depth with practical, Gapminder-based exercises so you leave with concrete, immediately applicable skills. Live seminars run via Zoom, with recordings, materials and a monitored Q&A forum available for 30 days afterward (on-demand access with the same 30-day materials window is also offered), and participants receive an Instats certificate of completion (ECTS equivalent shown for eligible European students). Spaces are limited—learn more and enroll today. #DataScience #ComputerScience #Education #Statistics #Python #Research #ResearchTraining #Instats

This post examines the intersection of lifespan research, immortality, and aging through the application of Python programming. By utilizing Python’s robust data analysis and visualization capabilities, researchers can derive insights into the biological mechanisms that govern aging and explore potential pathways to enhance longevity. This methodological approach allows for the modeling of complex datasets and the simulation of aging-related phenomena, thereby facilitating groundbreaking discoveries in the pursuit of extending healthy life spans. We invite you to delve into the latest findings and methodologies in this field to better understand and address the challenges associated with aging. #LifespanResearch #Aging #DataAnalysis #Python #Longevity

Two upcoming courses for engineers who want a deeper understanding of signal processing. There are only two days left to get in on the next running of the popular "Signal Processing for Software Radio" course with the steep early registration discount. Orientation begins next week. The "Python Applications in Digital Design and Signal Processing" course is also starting later this month, with early registration through March 24. This course teaches Python from the ground up using best-practice approaches for signal-processing applications and digital design verification of signal-processing systems. More details and registration: https://dsp-coach.com #SignalProcessing #DSP #SoftwareDefinedRadio #Python

Calculus is a powerful tool for understanding change, motion, and growth - and it's good to know as a dev. In this new College Calculus course, Ed teaches you the key concepts through the lens of Python. You'll learn about limits, derivative rules, slope interpretation, various theorems, and how to apply symbolic math libraries like SymPy for graphing & computation. https://lnkd.in/g5EzGsZF

I’m happy to share that my book “Fundamentals of Data Structures and Algorithms in Python” has now been published. Working on this book over the past few months has been a valuable learning experience. It helped me deepen my understanding of core computer science concepts and improve the way I explain technical ideas. The book is designed especially for engineering students and beginners who want a structured introduction to DSA and preparation for coding interviews. You can check it out here: International link: https://a.co/d/04yG21we India link: https://lnkd.in/dCF6NWxj I appreciate any feedback or suggestions from the community. #datastructures #algorithms #python #computerscience #learning

Automating precalculus homework with Python :3 They said "no cheating", not, "no optimizing". On a serious note, math has been one of the most beneficial subjects I've began taking serious when it comes to improving code comprehension and problem solving in programming. Besides writing Python programs, learning C has been much more comprehensible and interactive with the incorporation of math and physics. Never to late to enjoy something you once hated! Program functionality: Find the zeros and factorized form of an (n) degree polynomial.

We all know that sin(A) and cos(A) create smooth, predictable waves. But did you know there's another kind of wave hidden in pure mathematics?  ( n % mod ) — the modulo operation — creates what I call a "stormy wave". Unlike the graceful curves of trigonometry, the mod wave is sharp, jagged, and endlessly repeating — crashing to zero and surging back up, over and over again. Here's n % 13 plotted from 0 to 250 #Math #python #programming

I am grateful to be part of this valuable learning initiative and to support the two-day workshop on Getting Started with Python A Beginner's Guide. It was encouraging to see participants actively engaging in hands-on exercises and taking their first steps into the world of programming. Initiatives like these are important for promoting digital skills, technical confidence, and a culture of continuous learning among students and young professionals. My sincere appreciation to Mr. Manzar Alam for conducting such an insightful workshop and to Dr. Muhammad Sohail for supporting this academic collaboration. Looking forward to more opportunities that empower learners with practical technology skills. #Python #DigitalSkills #CapacityBuilding #Learning #TechEducation #SkillDevelopment

Vibe coding is definitely the most discussed topic this year. With the emergence of various LLMs, we've seen how powerful they are and their great potential in the near future. Although I think that learning to write code from scratch isn't that important anymore, but I hold the opinion that at least understanding the fundamentals is helpful (especially in the research field). Thus, I spent my fragment time (commute time, lunch breaks, and weekends) learning these courses on Kaggle. From a non-computer science background, I think I did pretty well, and I guess now it is time to get ready to apply what I learnt (hopefully in the field of my interest). #python #machinelearning #deeplearning #computervision

Exploring chaos through code using Python. This visualization is generated from a mathematical system known as a strange attractor. By iterating differential equations thousands of times in Python, complex and organic patterns begin to emerge from simple rules. It’s fascinating to see how mathematics, coding, and design intersect to create forms that feel almost architectural. Computational thinking is becoming increasingly important in fields like generative design, parametric modeling, and digital architecture. Excited to keep exploring the intersection of Python, mathematics, and computational design. #python #computationaldesign #parametricdesign #generativedesign #creativecoding #computationalarchitecture #designtechnology #algorithmicdesign