Friday, March 22, 2019

Intermediate Python 102 Evening Data Science

What you'll learn in this python class:

This course is to be taken after taking Python 101 or our Weekend Python Course. Check out the courses before enrolling in 102 course!

This is a 2 hour course hands on in-person class in NYC.
So you are done with Python 101! Practice our quiz before taking this course to revise what you did in Python 101.

This class is perfect for people who want to dive deeper in functional and object oriented aspect of Python. For example, these concepts are extensively used on Django web development, creating your own library, Python for software engineering or developing production level Python code.

This course also helps Data Science aspirants gets more deeper into Python to design and optimize their code. 

This course is not about Pandas or Numpy, check out Data Science 101 or Pandas course for those topics.

Topics to be discussed:
Range (Looping through range) & List comprehensions
Lambda functions for Map Reduce / Data Frames
Slicing of List, Dict, Sets, Dataframes
Object Oriented Python: Classes, Inheritance, Deep copy & Shallow copy Exception handling in Python
Iterators, Generators and Closures
Functional Programming & Decorators
Higher Order Functions
After this course you will feel confident to handle projects in Django, launch your Data Science project in production Mode. Use python in big data, create custom Python application. Automate all artificial intelligence aspect of your business. 

Our instructor has worked on several projects and helps students learn advanced aspect of Python which is otherwise hard to comprehend in New York City.

If you want to take your python career higher and be confident in Python then this course is for you.
Python is a very popular programming language used by companies like Google, Facebook, Amazon, Microsoft, etc. Python is used for all variety of things like building websites using Django Python, web scraping, data analysis, machine learning, and natural language processing using Python.
Python allows you to code fast, building complex applications with minimum lines of code and use existing libraries and use cloud infrastructure resulting true use of Infra on Cloud and code that is 5 times less than Java and 10 times less than C++ / C#.


Topics:
  1. InheritanceIterators
  2. Generators
  3. Higher Order Functions
  4. Decorators
  5. Closures
  6. Operator Overloading

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