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Learn Advanced Python with Virtual Machine Insights
An excellent training about Other It & Software
Advanced Python With VM Internals
A course on Python is useless if it doesn’t answer following questions.1. Why is Python slow2. How do you add more functionality to standard Python sdk3. 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 moreI 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.
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