Python Programming Beginners

Course Description

Python Programming Beginners is a practical training course designed to introduce participants to Python programming and build a strong foundation in software development. Participants will learn Python syntax, variables, operators, control structures, functions, data structures, modules, file handling, exception handling, object-oriented programming, and database concepts through structured lessons and practical exercises.

Duration: 5 days – 35 hrs.

Overview

The Python Programming Beginners Training Course is designed to provide participants with a solid foundation in Python programming. Whether you are a complete beginner or have some prior programming experience, this course will equip you with the essential skills and knowledge to start building applications using Python.

Python is a powerful and versatile programming language that has gained immense popularity in recent years. It is widely used in various domains, including web development, data analysis, machine learning, and automation. This course will introduce you to the fundamentals of Python and cover the core libraries and tools that make Python such a valuable language for programmers.

Learning Objectives

Gain a comprehensive understanding of Python syntax and language fundamentals
Learn how to write clean and efficient Python code
Explore the core libraries in Python and their practical applications
Understand the concepts of object-oriented programming (OOP) in Python
Discover the most useful libraries and modules developed by the Python community
Build hands-on projects and applications to apply your newly acquired knowledge

Audience

Individuals with little or no prior programming experience who want to start their journey in Python programming.
Beginners who want to strengthen their foundational knowledge of Python and expand their programming skills.
Programmers from other languages who wish to switch to Python and leverage its extensive libraries and frameworks.

Pre- requisites

No prior programming experience is required. Basic computer literacy and familiarity with concepts such as variables, functions, and control flow will be beneficial.
This course can be useful to those that are new to programming. To ensure your success in the course, you should have at least a foundational knowledge of personal computer use.
Familiarity with concepts such as variables, functions, and control flow will be beneficial. Although not mandatory, having a basic understanding of these programming concepts can help participants grasp the Python syntax more easily.

Course Content

Module 1: Introduction to Python

What is Python?
Why Python?
Who Uses Python?
Characteristics of Python
History of Python
What is PSF?
Python Versions
How to Download and Install Python
Install Python with Diff IDEs

Module 2: Different Modes in Python

Execute the Script
Interactive and Script Mode
Python File Extensions
Learn Python Main Function
Python Comments
Quit the Python Shell
Shell as a Simple Calculator
Order of operations
Multiline Statements
Quotations in Python

Module 3: Python NEW IDEs

PyCharm IDE
How to Work on PyCharm
PyCharm Components
Debugging process in PyCharm
PYTHON Install Anaconda
What is Anaconda?
Coding Environments
Jupyter Notebook
What is PIP?

Module 4: Variables in Python

What is Variable?
Variables and Constants in Python
Variable,Variable names and Value
Mnemonic Variable Names
Values and Types
What Does “Type” Mean?
Multiple Assignment
Python different numerical types
Standard Data Types
Operators and Operands
Order of Operations
Swap variables
Python Mathematics
Type Conversion
Mutable Versus Immutable Objects

Module 5: String Handling

What is string?
String operations and indices
Basic String Operations
String Functions, Methods
Delete a string
String Multiplication and concatenation
Python Keywords, Identifiers and Literals
String Formatting Operator
Structuring with indentation in Python
Built-in String Methods
Define Data Structure?
Data Structures in PYTHON

Module 6: Python Operators and Operands

Arithmetic, Relational Operators and Comparison Operators
Python Assignment Operators
Short hand Assignment Operators
Logical Operators or Bitwise Operators
Membership Operators
Identity Operators
Operator precedence
Evaluating Expressions

Module 7: Python Conditional Statements

How to use “if condition” in conditional structures
if statement (One-Way Decisions)
if .. else statement (Two-way Decisions)
How to use “else condition”
if .. elif .. else statement (Multi-way)
When “else condition” does not work
How to use “elif” condition
How to execute conditional statement with minimal code
Nested IF Statement

Module 8: Python LOOPS

How to use “While Loop” and “For Loop”
How to use For Loop for set of other things besides numbers
Break statements, continue statement, Enumerate function for For Loop
Practical Example
How to use for loop to repeat the same statement over and again
Break, continue statements

Module 9: Learning Python Strings

Accessing Values in Strings
Various String Operators
Some more examples
Python String replace () Method
Changing upper- and lower-case strings
Using “join” function for the string
Reversing String
Split Strings

Module 10: Sequence or Collections in PYTHON

Strings
Unicode Strings
Lists
Tuples
buffers
xrange

Module 11: Python Lists

Lists are mutable
Getting to Lists
List indices
Traversing a list
List operations, slices and methods
Map, filter and reduce
Deleting elements
Lists and strings

Module 12: Python TUPLE

Advantages of Tuple over List
Packing and Unpacking
Comparing tuples
Creating nested tuple
Using tuples as keys in dictionaries
Deleting Tuples
Slicing of Tuple
Tuple Membership Test
Built-in functions with Tuple
Dotted Charts

Module 13: Python Sets

How to create a set?
Iteration Over Sets
Python Set Methods
Python Set Operations
Union of sets
Built-in Functions with Set
Python Frozenset

Module 14: Python Dictionary

How to create a dictionary?
PYTHON HASHING?
Python Dictionary Methods
Copying dictionary
Updating Dictionary
Delete Keys from the dictionary
Dictionary items() Method
Sorting the Dictionary
Python Dictionary in-built Functions
Dictionary len() Method
Variable Types
Python List cmp() Method
Dictionary Str(dict)

Module 15: Python Functions

What is a function?
How to define and call a function in Python
Types of Functions
Significance of Indentation (Space) in Python
How Function Return Value?
Types of Arguments in Functions
Default Arguments and Non-Default Arguments
Keyword Argument and Non-keyword Arguments
Arbitrary Arguments
Rules to define a function in Python
Various Forms of Function Arguments
Scope and Lifetime of variables
Nested Functions
Call By Value, Call by Reference
Anonymous Functions/Lambda functions
Passing functions to function
map(), filter(), reduce() functions
What is a Docstring?

Module 16: Python Modules

What is a Module?
Types of Modules
The import Statement
The from…import Statement
..import * Statement
Underscores in Python
The dir( ) Function
Creating User defined Module
Command line Arguments
Python Module Search Path

Module 17: Packages in Python

What is a Package?
Introduction to Packages?
py file
Importing module from a package
Creating a Package
Creating Sub Package
Importing from Sub-Packages
Popular Python Packages

Module 18: Python Date and Time

How to Use Date & DateTime Class
How to Format Time Output
How to use Timedelta Objects
Calendar in Python
datetime classes in Python
How to Format Time Output?
The Time Module
Python Calendar Module
Python Text Calendar, HTML Calendar Class
Unix Date and Time Commands

Module 19: File Handling

What is a data, Information File?
File Objects
File Different Modes and Object Attributes
How to create a Text Fil and Append Data to a File and Read a File
Closing a file
Read, read line ,read lines, write, write lines…!!
Renaming and Deleting Files
Directories in Python
Working with CSV files and CSV Module
Handling IO Exceptions

Module 20: Python Exception Handling

Python Errors
Common RunTime Errors in PYTHON
Abnormal termination
Chain of importance Of Exception
Exception Handling
Try … Except
Try .. Except .. else
Try … finally
Argument of an Exception
Python Custom Exceptions
Ignore Errors
Assertions
Using Assertions Effectively

Module 21: More PYTHON

Python Iterators, Generators, Closures, Decorators and Python @property

Module 22: Python Class and Objects

Introduction to OOPs Programming
Object Oriented Programming System
OOPS Principles
Define Classes
Creating Objects
Class variables and Instance Variables Constructors
Basic concept of Object and Classes
Access Modifiers
How to define Python classes
Python Namespace
Self-variable in python
Garbage Collection
What is Inheritance? Types of Inheritance?
How Inheritance works?
Python Multiple Inheritance
Overloading and Over Riding
Polymorphism
Abstraction
Encapsulation
Built-In Class Attributes

Module 23: Python Regular Expressions

What is Regular Expression?
Regular Expression Syntax
Understanding Regular Expressions
Regular Expression Patterns
Literal characters
Repetition Cases
Example of w+ and ^ Expression
Example of \s expression in re.split function
Using regular expression methods
Using re.match()
Finding Pattern in Text (re.search())
Using re.findall for text
Python Flags
Methods of Regular Expressions

Module 24: Python XML Parser

What is XML?
Difference between XML and HTML and XML, JSON, Gson
How to Parse XML and Create XML Node
Python vs JAVA
XML and HTML Module 24: Python-Data Base Communication
What is Database? Types of Databases?
What is DBMS? RDBMS?
Oracle
SQL server
Executing DML Operations…!!

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Inventory controllers and stock control personnel.
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Internal auditors and operational compliance personnel.
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Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls

Warehouse roles within the supply chain.
End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
Physical stock movement and corresponding system transactions.
Responsibilities, authorization, and segregation of duties.
Common operational weaknesses and audit evidence.

Module 2: Warehouse Layout and Storage Systems

Functional zones, movement paths, and space utilization.
Receiving, storage, picking, staging, and dispatch areas.
Storage options: floor stacking, shelving, pallet racking, and bin storage.
Fixed and dynamic location systems.
Product slotting based on movement, size, handling needs, and compatibility.
Layout bottlenecks and their effects on productivity and inventory control.

Module 3: Receiving and Put-Away

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FIFO and FEFO principles, applications, and limitations.
Batch, lot, and expiry-date management.
Controls for slow-moving, obsolete, damaged, and expired stock.
Replenishment of picking locations.
Supervision and review of stock rotation compliance.

Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment

Discrete, batch, zone, and wave picking.
Selecting picking strategies for different order profiles.
Pick paths, location sequencing, and travel reduction.
Replenishment coordination and stock availability.
Picking verification and error prevention.
Packing, staging, and dispatch confirmation.
Handling short picks, substitutions, cancellations, and returns.

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Transaction controls for receipts, transfers, issues, returns, and adjustments.
Common causes of physical and system stock mismatches.
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Inventory reconciliation and supporting documentation.
Measuring inventory accuracy and interpreting discrepancies.

Module 7: Cycle Counting and Physical Inventory

Cycle counting versus full physical inventory.
ABC classification and risk-based count priorities.
Count frequency based on value, movement, and discrepancy history.
Count preparation, blind counting, and movement controls.
Recounts, variance investigation, and adjustment approval.
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Module 8: Shrinkage Reduction and Inventory Protection

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Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs

Receiving productivity and dock-to-stock time.
Put-away productivity and replenishment performance.
Picking productivity and order accuracy.
Inventory accuracy and cycle count variance.
Space utilization and storage capacity.
Shrinkage, damage, and expiry indicators.
Defining KPI formulas, data sources, and reporting boundaries.
Interpreting trends while balancing speed, accuracy, and service.

Module 10: Supervising and Auditing Warehouse Processes

Process mapping and identification of critical control points.
Reviewing procedures against actual warehouse practices.
Tracing transactions from documents to systems and physical stock.
Reviewing approvals, access rights, and segregation of duties.
Identifying control gaps and recurring process exceptions.
Documenting findings with clear supporting evidence.
Prioritizing corrective actions and tracking closure.

Module 11: Warehouse Improvement Planning

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Monitoring results and sustaining operational improvements.

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Python Programming Beginners

Course Content

Module 1: Introduction to Python

Module 2: Different Modes in Python

Module 3: Python NEW IDEs

Module 4: Variables in Python

Module 5: String Handling

Module 6: Python Operators and Operands

Module 7: Python Conditional Statements

Module 8: Python LOOPS

Module 9: Learning Python Strings

Module 10: Sequence or Collections in PYTHON

Module 11: Python Lists

Module 12: Python TUPLE

Module 13: Python Sets

Module 14: Python Dictionary

Module 15: Python Functions

Module 16: Python Modules

Module 17: Packages in Python

Module 18: Python Date and Time

Module 19: File Handling

Module 20: Python Exception Handling

Module 21: More PYTHON

Module 22: Python Class and Objects

Module 23: Python Regular Expressions

Module 24: Python XML Parser

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