16:41
06 - Isothermal and Non-isothermal Plug Flow Reactors Modelling || Reactor with Mass Transfer
30:01
05 - Differential-algebraic Equations || Non-linear algebraic Equations || Material Balances
16:12
β£04 - Solving Equations of State || Chemical Equlibria || Chemical Reaction Equilibria with Python
27:02
03 - Interpolation, Integrals and Parameter Estimation Method
01:11
Stop using + to add strings in Python. #youtubeshorts #python #py4a
21:40
052 - Writing Python Packages with Ease: A Step-by-Step Guide for Beginners
23:35
02 - Plantwise System Optimization || Process Optimization with Python
24:00
01 - Chemical Process Optimization with Python || py4ce
22:12
051 - Reading and Writing Files in Python: A Beginner's Guide
21:55
050 - Analysis of Variance (ANOVA) with Python: Unleashing Powerful Statistical Insights
38:53
049 - Pythonic Databases: Master SQL for Seamless Database Creation & Control
15:54
048 - Introduction to SQL with Python: Connecting and Querying MySQL
14:13
047 - Mastering Python Context Managers: A Comprehensive Guide
00:50
mersthub intro
10:27
046 - Mastering the Art of Name Mangling in Python: Techniques & Best Practices
19:32
045 - Understanding Abstract Classes in Python: Concepts and Implementation
12:11
044 - Unlocking Flexibility with Mixins: Smarter Class Design in Python (Part 4)
14:47
043 - Non-Cooperative Class in Python: Part IV β Advanced Concepts & Techniques
14:51
042 - Understanding Multiple Inheritance and Method Resolution Order (MRO) in Python
12:59
041 - Mastering OOP: Encapsulation, Abstraction, Inheritance, and Polymorphism (EAIP) in Python
21:32
040 - Object-Oriented Programming in Python: Introduction to OOP Concepts
16:18
039 - Exploratory Data Analysis (EDA) with Pandas: Part III β Advanced Techniques
20:27
038 - Exploratory Data Analysis with Pandas: Part 2 β Advanced Techniques
19:50
037 - Introduction to Data Analysis with Pandas in Python
14:39
036 - Creating & Managing Python Projects with Virtual Environments
14:47
035 - Solving Python Function Exercises: Step-by-Step Solutions
14:01
034 - Understanding Python Function Arguments: Positional, Keyword & Default Parameters
05:45
033 - Solution to Exercise on Python Generators: Step-by-Step Explanation
06:35
032 - All() and Any() Explained with Examples in Python
11:36
031 - Lazy Iterables in Python: Generators & Generator Expressions β Implementation & Uses
21:34
030 - Mastering Closures and Decorators in Python | Implementation & Examples
26:03
029 - Einstein Summation Explained: Everything You Need to Know
09:21
028 - Unpacking Lists, Tuples & Dictionaries in Python β Explained Simply
17:48
027 - 2D Scatter, Autocorrelation, Cross-Correlation & Multi-Axes (twinx) Plots with Matplotlib
28:09
026 - Mastering Data Visualization in Python with Matplotlib | Complete Guide
11:14
025 - Python Error Handling & Exceptions: How to Manage Bugs and Errors
12:43
024 - Array Manipulation in Python with NumPy: Essential Techniques & Examples
13:45
023 - Broadcasting in NumPy: Simplifying Array Operations in Python
19:54
022 - Introduction to Array Operations with NumPy in Python: Basics & Techniques
15:37
021 - Vectorization in Python with NumPy: Speed Up Array Operations
08:47
020 - Creating Variables Without Explicit Declaration in Python: Understanding Dynamic Typing
22:51
019 - While Loops in Python: Part 2 | Mastering Looping in Python
13:53
018 - Why Use Python's if __name__ == "__main__" Guard? | Understanding Pythonβs Main Guard
22:45
017 - Essential Python Built-In Functions: Lambda, Filter, Map & Zip Explained
17:51
016 - Enclosing Functions Simplified in Python: Understanding Closures and Nested Functions
21:01
015 - Introduction to Functions in Python: Basics & How to Use Them
27:54
014 - Basic Control Flow in Python: If, Else, Elif & Loops Explained
12:20
013 - Introduction to ByteArray in Python: Understanding Byte Data
19:47
011 - Introduction to Python Slicing, Comprehensions & Generator Expressions
19:29
010 - Introduction to Python Data Structures: Lists, Tuples, Sets & Dictionaries
22:25
009 - Building Blocks in Python: Part 3 - Understanding PEP 8 for Clean Code
20:35
008 - Building Blocks in Python: Part 2 - PEP 8 Style Guide for Clean Python Code
06:09
007 - Python Building Blocks for Beginners: Part 1 | Essential Concepts & Basics
08:03
006 - Getting Started with Thonny IDE: Introduction to Python Integrated Development
05:58
005 - Introduction to Spyder IDE: Getting Started with Python Integrated Development
00:37
Gamcheon Culture Village Post COVID-19 Lockdown Visitation
04:25
004 - Understanding Python Namespace: What It Is & How It Works
31:21
003 - Introduction to Python: Definition, Syntax, Data Types & Operators Explained
01:36
002 - Python Course Overview: What You'll Learn in This Tutorial Series
09:03
001 - Quick Python Setup Guide: Install with PIP (No Conda) | Step-by-Step Tutorial
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About
Mersthub Mentors is dedicated to nurturing the next generation of indigenous young thinkers, applied mathematicians, and scientific computing professionals in Nigeria and Africa. Through mentorship, we empower aspiring scientists and engineers with the skills and knowledge needed to pioneer advancements in Science, Technology, and Engineering. Our core focus includes numerical analysis, data analysis, computational physics, and machine learning using Python programming to solve domestic challenges with innovative, homegrown solutions. Join us as we build a brighter future for Africa through STEM.
- Dr. MC Ekwonu
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