Advanced Python Concepts Made Simple
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.56 GB | Duration: 50 lectures • 12h 24m
Analysis of Complex, but Vital, Python development topics!

What you'll learn
Great resource for Quant Developers & Quants in general (check promo video for all info )
Understand Python Dev details that confuse even the most experienced Developers
Write the most efficient code - so that you detect errors in advance
Gain confidence in Polymorphism and OOP
You will never need to google-search again to find answers on some confusing topics
Understand why to use Metaclasses, Dataclasses, Superclasses
Requirements
You need to have installed a very recent version of Python
We work on Jupyter Notebook and on PyCharm. You need to have installed both.
Description
Summary
This course provides deep insights into some topics that you will definitely encounter for software engineering with Python.
Assume that a company hires you to develop a model on Python; whether this is a ML, Optimization or Finance model.
Or assume that the company gives you code to read and understand it quickly.
This course gives you all the skills you need to clarify some complex topics that always pop up.
All videos have accurate subtitles (i.e. not the auto-generated ones, but accurate ones for maximum clarity).
Who I am
I am a Research Fellow, leading the Research in industry projects in Mathematical Optimization & Data Science applied to Energy Investments, at Imperial College London.
I have a PhD in Analytics and Mathematical Optimization, applied to Energy Investments, from Imperial College London.
The old energy landscape is steadily being replaced by a new energy landscape that produces and consumes Big Data. To understand the new energy landscape we therefore need to adapt and make use of state-of-the-art Big Data algorithms and methods based on the latest advances on Data Science & Optimization.
I offer specialized education and consultancy on Data Science, Optimization, Finance, all focused on energy investments.
Make sure you sign up to be informed about my regular free webinars, to participate in quizzes, and to download publications and extra material.
Important
No pre-requisites are needed: You do not have to know Programming (eg Python or MATLAB or C ++) at ALL because we go through all the commands needed , in great detail and with many examples.
We start from scratch, so that you do not need to have done any preparatory work in advance at all. Just follow what is shown on screen, because we go slowly as we explain everything in detail.
Nothing for you to guess or search online because we go slowly, and fully explain what is shown on screen.
If you are an experienced programmer, then you may find that the videos go very slowly. This is true because I break down every command, especially the complex ones. There are other online courses on Udemy that simply give the code, and give you an overall description of it, and then you have to figure out what it does. In my courses, we do the opposite: we go very slowly and examine every command. This is why some videos may be 30 minutes, and this is because we go in depth , and fully describe the code.
In this course, there is NOTHING for you to search around on google because every line of code is explained in detail.
So in the end of the course you will feel confident that you OWN everything that has been taught!
For the contents of this course, please watch the promo video and also read the contents and the reviews. This course has received very high reviews, on a consistent basis. This course has also been designed based on interview material (banks, energy companies/ organisations, software engineering roles etc) so by the end of it, you will be fully covered and confident that you will do well.
As you can read in my profile, I am Head of Research so I have extensive experience in this field. So you are in good hands. Good luck, and anything you need, I am and will be here to help you.
Who this course is for
Enterpreneurs
Quants
Software engineers
Data Scientists
Anyone preparing for interviews with software engineering component
Screenshots