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Python For Chemists: 50 Solved Practical Problems

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021060ac26bccf511d425f020385f654

Last updated 1/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.01 GB | Duration: 7h 51m

Learn practical Python for chemistry step by step, with 50 solved problems and applications in all branches of chemistry

What you’ll learn
Gain hands-on experience in applying Python to solve real chemistry problems.
Develop problem-solving strategies by working through 50 practical chemistry problems.
Build confidence to independently apply Python in academic, research, and professional chemistry settings.
Perform calculations of molecular properties, reaction rates, and equilibrium constants.
Solve problems from diverse branches of chemistry (physical, analytical, inorganic, organic, environmental).
Tackle advanced problems with confidence and extend the methods to new challenges.

Requirements
No prior experience in coding required. you will learn everything here

Description
Are you a chemistry student, researcher, or professional who wants to unlock the power of Python programming but don’t know where to start? This course is designed to take you on a step-by-step journey where Python meets chemistry. Instead of learning coding in isolation, you’ll dive into 50 carefully crafted real-world chemistry problems, each one showing you how Python can be applied to data analysis, visualization, and scientific discovery.Unlike generic coding tutorials, this course is chemistry-focused. Every example connects directly to real chemical applications: solving equilibrium problems, calculating thermodynamic properties, exploring kinetics, and much more. By solving these problems, you won’t just learn Python—you’ll learn how to think like a computational chemist and apply programming to research, studies, and professional work.The course starts with fundamentals of Python, making it accessible even if you’ve never written a line of code before. Then, through each problem, you’ll gradually build your programming toolkit: , numerical computation, visualization, automation, etc. By the time you finish, you’ll have solved 50 real chemistry challenges, gaining the confidence to tackle your own projects independently.This course is more than coding lessons—it’s a transformation in the way you approach chemistry. You’ll learn to replace tedious manual calculations with automated scripts, turn raw data into insights with just a few lines of code, and explore chemical problems at a depth and speed that traditional methods can’t match.

Undergraduate & Graduate Chemistry Students – who want to strengthen their problem-solving skills by applying Python to real chemistry examples.,Researchers in Chemistry & Related Sciences – looking to automate calculations, and apply computational approaches to their projects.,Educators & Instructors – who want ready-to-use examples to integrate Python into their chemistry teaching.,Python Beginners in Science – students or professionals who know basic Python but want to see how it can be applied in a practical, chemistry-focused way


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