Fundamentals of Programming using Python 3

Basics of Python Programming for IT Professionals
Rating: 4.1 out of 5 (318 ratings)
21,334 students
Fundamentals of Programming using Python 3
Rating: 4.1 out of 5 (318 ratings)
21,334 students
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

Requirements

  • Computer with 4+ GB RAM and 64 bit Processor
  • Basic Programming Skills
  • 64 bit Operating System such as Windows 10 or Linux or Mac
Description

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.
Curriculum
6 sections • 28 lectures • 3h 44m total length
  • Introduction
  • Setup Python 3 and Validate
  • Setup JDK and Pycharm for Python 3
  • Setup Jupyter Notebook for Python 3
  • Setup Datasets
  • CLI and getting help in Python 3
  • Data Types in Python 3
  • Operators in Python 3
  • Conditional Statements and Loops in Python 3
  • Errors and Exception Handling in Python 3
  • Pre-defined Functions in Python 3 - help and type casting functions
  • String Manipulation Functions
  • String Manipulation Functions Continued
  • Creating User Defined Functions and Returning Values
  • All about arguments while creating Functions
  • Defining Lambda Functions
  • Usage of Lambda Functions as part of Map Reduce APIs in Python 3
  • Reading Data from Files into List
  • Overview of Collections such as List, Set and Dict
  • Basic Operations on Collections such as List, Set and Dict
  • Overview of Tuples
  • Processing data in Collections using Loops
  • Problem Statement for filter and preparing data
  • Develop function to filter the data - myFilter
  • Develop function to apply row level transformations - myMap
  • Develop function to perform aggregations - myReduce
  • Manipulating Collections using filter, map and reduce
  • Overview of itertools, functools, pandas etc to manipulate collections

Instructors
Technology Adviser and Evangelist
Durga Viswanatha Raju Gadiraju
  • 4.1 Instructor Rating
  • 8,037 Reviews
  • 140,918 Students
  • 19 Courses

13+ years of experience in executing complex projects using vast array of technologies including Big Data and Cloud.

I found itversity, llc - a US based startup to provide quality training for IT professionals and staffing as well as consulting solutions for enterprise clients. I have trained thousands of IT professionals in vast array of technologies including Big Data and Cloud.

Building IT career for people and provide quality services to the clients will be paramount to our organization.

As an entry strategy itversity will be providing quality training in the areas of ABCD

* Application Development
* Big Data and Business Intelligence
* Cloud
* Datawarehousing, Databases

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  • 18 Courses

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