Python Programming Journey

Why choose Python?

Python is a preferred high-level, server-side programming language for websites and mobile apps. For both, new and old developers, Python has managed to stay a language of choice with ease. Due to its readability and dense syntax, developers can express a concept with more ease than they can, using other languages. It powers the web apps for Instagram, Pinterest and Radio through its associated web framework, Django, and is also used by Google, Yahoo and NASA.

What is Python? 

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Here are Python's 3 main applications.

I have observed that there are 3 main popular domain for Python:

1) Web Development

a)Web frameworks that are based on Python like Django and Flask have recently become very popular for web development.

b)These web frameworks help you create server-side code (backend code) in Python.

2) Data Science —

Machine learning:

There are popular machine learning libraries and frameworks for Python.

Two of the most popular ones are scikit-learn and TensorFlow.

• scikit-learn comes with some of the more popular machine learning algorithms built-in. I mentioned some of them above.
• TensorFlow is more of a low-level library that allows you to build custom machine learning algorithms.

Data analysis, and data visualization :

It’s a good library to get started with because:

• It’s easy to get started with
• Some other libraries such as seaborn is based on it. So, learning Matplotlib will help you learn these other libraries later on.

Scripting: Scripting usually refers to writing small programs that are designed to automate simple tasks.

Data Science Case Studies

 Customer Personality Analysis

The analysis of customers is one of the most important roles that a data scientist has to do who is working at a product based company.

Use Case: Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviours and concerns of different types of customers.