Headless ChickenVery busy doing a lot of things but in a disorganized way - She made us run around like headless chicken.
Sunday, December 1, 2024
Friday, November 1, 2024
Tuesday, October 1, 2024
Friday, September 20, 2024
Monday, February 22, 2021
Quote(s)!
A designer knows, he has achieved perfection not when there is nothing more to add, but when there is nothing left to take away.
~ Antoine de Saint-Exupery
Sunday, September 20, 2020
Sunday, March 4, 2018
Why is Python?
'Cause, it's powerful...and fast; plays well with others; runs everywhere; is friendly & easy to learn; is open.
Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
Has best support of AI libraries - matplotlib, numpy, scipy, scikit-learn and tensorflow...
Sunday, February 25, 2018
What is Python?
Python is an interpreted (executes the program directly without previously compiling into machine-language instructions), interactive (writing parts of a program while it is already running) and multi-paradigm (meta, generic, imperative, reflection, structured and object-oriented) high level programming language.
~ Wiki
Sunday, January 7, 2018
Why to study Algorithms, when memory is inexpensive?
Computers would be fast, but they are not infinitely fast. And memory would be inexpensive, but it is not free. Computing time is therefore a bounded resource, and so is space in memory. One should use these resources wisely, and algorithms that are efficient in terms of time or space would help one to achieve that.
Also, having a solid base of algorithmic knowledge and technique is one characteristic that separates the truly skilled programmers from the novices. With modern computing technology, one can accomplish some tasks without knowing much about algorithms, but with a good background in algorithms, one can do much, much more.
Sunday, December 17, 2017
What is a Data Structure?
A Data structure is a way to store and organize data in order to facilitate access and modifications. Each, among all the existed, has it's strengths and limitations, which are to be understood before using any - No single data structure works well for all purposes.