Python-Getting Started Training

Duration : 3 Days

Date : 22, 23, 24 May 2023


The training program gets participants started with the basics of python and ensures that they have a good understanding of all popular and standard concepts needed to start working on Python immediately. The participants undergoing the course will have a good understanding of – Basic Python Programming and its various constructs, commonly used Python libraries, Input & Outputs, Error Handling, etc

Prerequisite for Python

Good proficiency in other programming langaugs like C/C++/Java/PHP etc

This covers Basic Python concepts that can be covered in 3 days. This covers Python data types, operators, conditions, for, while loop, functions, seq and non sequential objects, reading and writing to file command line.

Course Contents

Python Background
  • Background on Python
  • Introduction to Machine Learning
  • Why Python is used in Machine Learning?
  • Details of Python 1, 2, 3
  • Structuring with Indentation
  • 2 Modes: Normal and Interactive (Shell)
    • Why Python is so popular for ML
    • Python Success Stories – Apps in Python
    • Python Basics: indent, blocks, CMD
    • Dynamic typing and strongly typed

Tools/IDE Intro
  • Demo on CMD
  • Jupyter Intro/Pycharm IDE

Structure and Type
  • Basic Structure of Python program
  • Jupyter Tutorial
  • In class Demo on Python
  • Primary Data types – int, float, …
  • Demo on size of int, float
  • Demo on casting
  • Demo on complex
  • Coding tasks

Python Operators & Conditional Statements
  • Operators
  • Operators and their precedence
  • Arithmetic, comparison, membership, assignment, Logical, bitwise, identity
  • id (Understand how objects are stored in memory)
  • Demo on variables and address
  • Conditional Statements
  • Membership
  • In class Demo in and is
  • In class Demo Operators, priority, conditional
  • Demo on bitwise
  • Coding Tasks

  • While Loops
  • For Loops
  • How for loop in python differs from Java
  • For loop written in While using iterable *
  • Coding Tasks

  • Functions and different types of functions
  • Calling protocol for mutable and immutable
  • Positional, keyword, default, dynamic, lambda
  • Demo on lambda Function
  • Assignment on Pub entry validator

Print and Reading Writing from Terminal
  • Output with Print
  • Formatted output
  • input and raw_input via the keyboard
  • Reading and writing from terminals
  • Demo on Reading and Writing from Terminal
  • Assignment on Reading from terminal

Sequential and Non Sequential DT
  • Sequential Data Types – String, List, Tuple,
  • byte_sequences, byte arrays, range object
  • Common functions across all sequential types
  • [], +, +=, *, *=, len, in, count, slicing
  • Mutable and Immutable

  • String Operations
  • Access, +,*, slice
  • split, join
  • Other string functions
  • Demo on String and its functions
  • Demo on String slice
  • Demo on String Format

  • List
  • List type explained
  • No arrays in basic python
  • Contents of list
  • List inside a list, tuple inside a list, set, dict
  • Slicing works in list also
  • Functions in list – Creation,….
  • Demo on list slice
  • Assignment on List access
  • Assignment on List slice and duplicates

  • Tuple
  • Tuple Type explained – immutable
  • Functions
  • Can a tuple contain a list
  • Why tuple
  • Demo on Tuple
  • Demo on Tuple and address
  • Demo on Tuple immutability
  • Coding Tasks

Byte, Byte Array, Range
  • Byte, Byte Sequence Byte Array
  • range object
  • Demo on Byte, Byte Sequence, Range

Non Sequential
  • Non Sequential Dictionaries, Sets

  • Dictionaries: Concepts, and why
  • Key Value concept
  • simple eg of dict
  • iterators -keys, values, both
  • check for keys using in
  • check for values using in
  • Functions in dict
  • what can come as key? Any immutable object
  • What can come as values: Any mutable or immutable object
  • Demo on dict creation, iteration and its functions
  • Demo: Can dicts be indexed even though it is non-sequential?
  • Coding Tasks on dict

  • Set Concept
  • Mutable
  • Functions in Set
  • Immutable
  • Demo on set and its functions
  • Coding Tasks on set – Build a Probability based Sentiment analyzer

Modular Programming
  • Modular Programming and Modules
  • Intro to modules, packages, Numpy intro, Sklearn Intro (* Depending on time)

  • Pickle – Brief intro (Details in Advanced)


May 22 - 24 2023


8:00 AM - 6:00 PM



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