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No #1 Python Training Provider in Bangalore
People Technologies Services
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- 45+ Hours Course Duration
- Industry Expert Trainers
- 100% Job Oriented Training
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Best Python Training Course in Bangalore
In this Python Programming Course, People Technologies covers all the major concepts of Python Programming – in detail, and in depth – practically. People Technologies is available in India and Dubai, Austrlia, Canada. Our Current classes are running for Python Training in Bangalore, Chennai, Delhi(NCR), Mumbai, Dubai. This Python Course module will give you hands on experience and confidance to write program and logic for project.
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Python Syllabus
Chapter - 01 Overview
- History of Python
- Python Features
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 02 Environment Setup
- Local Environment Setup
- Getting Python
- Installing Python
- Unix and Linux Installation
- Windows Installation
- Macintosh Installation
- Setting up PATH
- Setting path at Unix/Linux
- Setting path at Windows
- Python Environment Variables
- Running Python
- Interactive Interpreter
- Script from the Command-line
- Integrated Development Environment
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 03 Basic Syntax
- First Python Program
- Interactive Mode Programming
- Script Mode Programming
- Python Identifiersr
- Lines and Indentation
- Multi-Line Statements
- Quotation in Python
- Comments in Python
- Using Blank Lines
- Waiting for the User
- Multiple Statements on a Single Line
- Multiple Statement Groups as Suites
- Command Line Arguments
Theory (00:45 to 01:00 Hrs) | Practical (00:45 to 01:00 Hrs) | Total (01:30 to 02:00 Hrs)
Chapter - 04 Variable Types
- Assigning Values to Variables
- Multiple Assignment
- Standard Data Types
- Python Numbers
- Python Strings
- Python Lists
- Python Tuples
- Python Dictionary
- Data Type Conversion
Theory (00:30 to 00:45 Hrs) | Practical (00:30 to 00:45 Hrs) | Total (01:00 to 01:30 Hrs)
Chapter - 05 Basic Operators
- Types of Operator
- Python Arithmetic Operators
- Python Comparison Operators
- Python Assignment Operators
- Python Bitwise Operators
- Python Logical Operators
- Python Membership Operators
- Python Identity Operators
- Python Operators Precedence
Theory (00:45 to 01:00 Hrs) | Practical (00:45 to 01:00 Hrs) | Total (01:30 to 02:00 Hrs)
Chapter - 06 Decision Making
Theory (01:30 to 01:15 Hrs) | Practical (01:30 to 01:15 Hrs) | Total (03:00 to 02:30 Hrs)
Chapter - 07 Loops
Theory (02:00 to 04:10 Hrs) | Practical (02:00 to 04:10 Hrs) | Total (04:00 to 08:20 Hrs)
Chapter - 08 Numbers
- Number Type Conversion
- Mathematical Functions
- Random Number Functions
- Trigonometric Functions
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 09 Strings
- Accessing Values in Strings
- Updating Strings
- Escape Characters
- String Special Operators
- String Formatting Operator
- Triple Quotes
- Unicode String
- Built-in String Methods
Theory (00:30 to 00:45 Hrs) | Practical (00:30 to 00:45 Hrs) | Total (01:00 to 01:30 Hrs)
Chapter - 10 Lists
- Python Lists
- Accessing Values in Lists
- Updating Lists
- Delete List Elements
- Basic List Operations
- Indexing, Slicing, and Matrixes
- Built-in List Functions & Methods
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 11 Tuples
- Accessing Values in Tuples
- Updating Tuples
- Delete Tuple Elements
- Basic Tuples Operations
- Indexing, Slicing, and Matrixes
- No Enclosing Delimiters
- Built-in Tuple Functions
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 12 Dictionary
- Accessing Values in Dictionary
- Updating Dictionary
- Delete Dictionary Elements
- Properties of Dictionary Keys
- Built-in Dictionary Functions & Methods
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 13 Date & Time
- What is Tick?
- What is TimeTuple?
- Getting current time
- Getting formatted time
- Getting calendar for a month
- The time Module
- The calendar Module
- Other Modules & Functions
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 14 Functions
- Defining a Function
- Syntax
- Calling a Function
- Pass by reference vs value
- Function Arguments
- Required arguments
- Keyword arguments
- Default arguments
- Variable-length argumentss
- The Anonymous Functions
- Syntax
- The return Statement
- Scope of Variables
- Global vs. Local variables
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 15 Modules
- The import Statement
- The from…import Statement
- The from…import * Statement
- Locating Modules
- The PYTHONPATH Variable
- Namespaces and Scoping
- The dir( ) Function
- The globals() and locals() Functions
- The reload() Function
- Packages in Python
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter - 16 File I/O
- Printing to the Screen
- Reading Keyboard Input
- The raw_input Function
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Chapter -17 Exceptions Handling
- Assertions in Python
- What is Exception?
- Handling an exception
- The except Clause with No Exceptions
- The except Clause with Multiple Exceptions
- The try-finally Clause
- Argument of an Exception
- Raising an Exceptions
Theory (01:00 to 01:15 Hrs) | Practical (01:00 to 01:15 Hrs) | Total (02:00 to 02:30 Hrs)
Python Training Methodology & Materials
- 100% hands-on Practical Job Oriented Training
- Well designed exercises/sessions
- Discussion on real life situations / problems faced on the job and their solutions
- Indepth Project work with each course to enhance learning and give the participant a feel of difficulty, thus ensuring they apply in realtime everything they have learnt.
- Task based teaching methodology where students are given tasks to do in class, as required in the real world.
- Assessments at the end of the course help gauge student progress and learning.
