English | Size: 2.13 GB
Genre: eLearning
What you’ll learn
Setup Development Environment for Python 3 – Python, Pycharm and Jupyter Notebook
Basic Programming Constructs
Pre-defined Functions, User Defined Functions, Arguments, Lambda Functions
Overview of Collections such as List, Set and Dict as well as Tuples
Manipulating Collections using Map Reduce APIs
As part of this course one will learn basics of Python Programming to get into Big Data. Depending up on the feedback we might add additional modules over a period of time.
Setup Python Environment
Install Python and Pip
Install Pycharm along with JDK
Install Jupyter Notebook
Basic Programming Constructs
Python CLI
Getting Help
Data types in Python
Operators in Python
Conditional Statements
Looping Constructs
Errors and Exceptions
All about Functions
Pre-defined Functions
Defining Functions
Return Statement
Lambda Functions
Overview of Collections and Tuples
Read data from files into collection
Collections – list, set and dict – group of homogeneous elements
Basic Operations on Collections
Tuples – group of heterogeneous elements
Develop data processing applications (using loops over collections)
Manipulating Collections using Map Reduce APIs
Define problem statements
Develop myFilter, myMap and myReduce APIs
Understanding existing packages and APIs
Developing Solutions using Map Reduce APIs
After the training, one can learn Big Data technologies such as Spark, Kafka etc.
Who this course is for:
Any developer who want to get into Big Data using programming languages like Python.
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