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English | 2020 | ASIN: B07TM3D279 | 50 Pages | PDF, EPUB
Learning a language is easy. However, learning to write a language, and writing a language in an optimized way are two different things.
Learning a language is easy. Whenever I start with a new language, I focus on a few things like operations and loops common to every language, and it is a breeze to get started with writing code in any language.
However, learning to write code in a language and writing a language in an optimized way are two different things.
Every Language has some ingredients which make it unique. Yet, a new programmer to any language will always do some forced overfitting.
In this book, I will explain some simple constructs provided by Python, some essential tips, and some use cases I come up with regularly in my Data Science work. Most of the book is of a practical nature and you will find it beaming with examples.
Learning a language is easy. However, learning to write a language, and writing a language in an optimized way are two different things.
Learning a language is easy. Whenever I start with a new language, I focus on a few things like operations and loops common to every language, and it is a breeze to get started with writing code in any language.
However, learning to write code in a language and writing a language in an optimized way are two different things.
Every Language has some ingredients which make it unique. Yet, a new programmer to any language will always do some forced overfitting.
In this book, I will explain some simple constructs provided by Python, some essential tips, and some use cases I come up with regularly in my Data Science work. Most of the book is of a practical nature and you will find it beaming with examples.