A course on Python is useless if it doesn't answer following questions.
1. Why is Python slow
2. How do you add more functionality to standard Python sdk
3. How do you sell propreity software written in Python and still keep it propreity.
4. How do you integrate your Python source code with your code written in other languages.
This course answers all these questions plus lot more
I am sure Meta Class may sound confusing and even scary to the best of us. Decorators look mysterious and intimidating. But before you start learning them you have to recall the first principal of Python language design and which is simplicity . Apart from that while designing Python lots of focus is given to readability and avoidance of complicated things. Python is simple (All chapters) readable, explicit and may be a bit complex but never complicated. Keeping these things in mind you have to approach learning Python because an over kill can confuse you needlessly. After keeping these things in mind only I created these lectures and have arranged subtopics that you come to know first things first, in correct order, clear and never take too long.
This course is to be taken after you are familiar with basics like data model, data types, loops and controls and you are a able to write small pieces of code. You have to be aware of and in practice of using Python Interactive Shell. You also have to know modules and how do we use them in various ways, be familiar with directives like import, import..from , import..from..as etc.
I have also used disassembler for demonstrating the Python byte code in action but it is not necessary to know them in depth and in advance.
This section covers
This course is a single lecture and covers the following
I am a software specialist into consulting business since many years. I have been working on cloud computing , mobile e-commerce , embedded devices and cloud infrastructure. I have been hands on in JAVA C++ Python Android and Linux and Hypervisors and Software Defined Networks.
My areas of interest are Virtual Machines, Cloud Computing, Processor Architecture and Mobile Devices. Soon there will be more courses on all of these topics.
In order to learn a technology or programming language, for instance Python, what you do is to refer the best books available. Simply reading online content does not suffice. Knowledge of such a nature is not complete and does not stay with you for long. My intention is to present you a summary of whatever is there to know from many books articles and my own field experience in the respective subject, in a to the point yet detailed manner thereby save your time and put you up to speed ready to contribute to the live projects asap.
Any questions or concerns regarding the course can be also be shared with me directly, find me on LinkedIn.