Python Course Syllabus

SECTION - I

1. Overview

Why do we need Python?
Program structure

2. Environment Setup

Python Installation
Execution Types
What is an interpreter?
Interpreters vs Compilers
Using the Python Interpreter
Interactive Mode
Running python files
Working with Python shell
Integrated Development Environments (IDES)
Interactive Mode Programming
Script Mode Programming

3. Basic Concepts

Basic Operators
Types of Operator
Python Arithmetic Operators
Python Comparison Operators
Python Assignment Operators
Python Bitwise Operators
Python Logical Operators
Python Membership Operators (in, not in)
Python Identity Operators (is, is not)
Python Operators Precedence

4. Basic Concepts

Data Types
Variables
Assigning Values to Variables
Multiple Assignment
Python Numbers
Python Strings
Accessing Values in Strings
String Special Operators
String Formatting Operator
Triple Quotes
Built-in String Operations
Python Lists
Accessing Values in Lists
Updating Lists
Delete List Elements
Basic List Operations
Indexing, Slicing, and Matrixes
Built-in List Functions & Methods
Python Tuples
Accessing Values in Tuples
Updating Tuples
Delete Tuple Elements
Basic Tuples Operations
Indexing, Slicing, and Matrixes
No Enclosing Delimiters
Built-in Tuple Functions
Python Dictionary
Accessing Values in Dictionary
Updating Dictionary
Delete Dictionary Elements
Properties of Dictionary Keys
Built-in Dictionary Functions & Methods

5. Basic Operators in Python

Types of Operator
Python Arithmetic Operators
Python Comparison Operators
Python Assignment Operators
Python Bitwise Operators
Python Logical Operators
Python Membership Operators (in, not in)
Python Identity Operators (is, is not)
Python Operators Precedence

6. Loops and Decision Making

if statements
..else statements
nested if statements
while loop
for loop
nested loops
Loop Control Statements
1) break statement
2) continue statement
3) pass statement

SECTION - II

1. Functions

Defining a Function
Syntax
Calling a Function
Pass by reference vs value
Function Arguments
Required arguments
Keyword arguments
Default arguments
Variable-length arguments
The return Statement
Scope of Variables
Global vs. Local variables

2. Python Modules and Packages

Framework vs Packages
Folium Introduction
Why are modules used?
Creating 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

3. Basic OOPs Concept

Creating class in Python
Documented String
Private Identifier
Constructor
Inheritance
Polymorphism

4. Decorator, Iterator and Generator

5. Anonymous Function

Lambda
Map
Filter
Reduce

SECTION -III

1. File Manipulation

Opening Text File
Working with a File on Python
The open function
File modes
The file object attributes
close() method
write() method
read() method
Files: Input
Files: Output
Reading files
Renaming & deleting files
Writing into a file
remove() method

2. Python GUI

Basic Operations using Tkinter
Buttons and Textbox
Menu Bar
Message Box and Radio Button
Checkbox and Event Creating
Creating Application in GUI

3. SQL and Python

Overview of SQLite
Integrating Python with SQLite

4. NoSQL and Python

Overview of NoSQL
Integrating Python with NoSQL

5. Project Demonstration Tkinter with SQL

Project Demonstration Tkinter with SQL

6. Other Concepts

Errors and Exception Handling
Standard exceptions
Assertions in Python
The assert Statement
What is Exception?
Handling an exception
Syntax
The except Clause with No Exceptions
The except Clause with Multiple Exceptions
The try-finally Clause
Argument of an Exception
Example with Tkinter Application
Regular Expression
Powerful Utilities
Multithreading
List Comprehensive
Shallow and Deep Copy
Unit testing

7. Advanced Concept -- Overviews

Networking Overview
Sending and Receiving Email by Python
Basics of Pandas and Numpy
How to use Anaconda
How to create dashboard
Overview of Django

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Mr. Ganesh Hegde

Senior Solutions Architect having 11+ yrs industry exposure

Python Trainer Profile

15+ years of experience at both professional and training levels
Top rated trainer of Apponix
Trained 1500+ students with professional excellency
Expert level knowledge and experience in Web domain with Object Oriented Programming
Good at the applications of Python frameworks like Django, Flask etc.
Experience in APP and Power DB, Ethical Hacking and Secure coding practice
Knowledgeable in writing reusable, testable and efficient code, file handling and string operations
Good in security tool kit integration and Janus authentication

Skills and Experience of our Python Instructor‬‬

Training certificate on PMP.
Ethical hacking and secure coding practice.
Experience in Power APP and Power DB.
Developing and using RESTful APIs
Full Stack Developing skills
Security Tool Kit Integration and Janus Authentication

Python Instructor Experience

Writing reusable, testable, and efficient code
Designing and implementation of low-latency, high-availability, and performance applications.
Integration of user-facing elements developed by front-end developers with server side logic.
Integration of data storage solutions includes databases, key-value stores, blob stores, etc.
Developing back-end components to improve responsiveness and overall performance
Integrating user-facing elements into applications
Improving functionality of existing systems
Implementing security and data protection solutions

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Why Should You Learn Python?

Millions of career opportunities with numerous job-roles
100% assurance in placement
Most preferred in the highly challenging and hopeful fields of AI, Robotics, Web Development and DevOps.
Possesses strong libraries for the manipulation and analysis of data
Python has its action centres in finance, physics, virtual platform, oil and gas, signal processing and so on.
Easy to learn and code since it’s free and open source

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FAQs

What are the job opportunities waiting?

Python Developer

Infrastructure Automation Developer

Python Web Develope

Web Designer

Game Developer

Data Analysis and Visualisation

Who can take the training?

Anyone who wishes to pursue a career in Python can join for the course. Any fresh graduates or non-graduates can take the training. Other professionals who can take the training are:

Software Developers

System Engineers

Network Professionals

DevOps Engineers

Big Data Professionals

BI and Project Managers

Application Support Analysts

ETL Professionals

Marketing and Sales Professionals

Communication Professionals

What is the duration of the training?

Approximately 40 hours

Do I get certificate after completion of the course?

Yes all our students get course completion certificate.

What is Apponix Certified Professional Certificate?

After completion of the course we will conduct a exam, and if you get 80% or more in the exam you will get Apponix Certified Professional Certificate.

Who is my instructor?

Your instructor is a 15+ years experienced graphic designer, Animator & multimedia expert.

How much is course Fees?

Please call us to get best discounted corse fees

Can I pay course fees in installments?

Yes,definitely you can pay in installments.

What are the assistances can I expect from you?

Resume preparation,Interview Prepration and Certification guidance

Why should I choose Apponix?

Expert trainers with an experience od 15+ years

100% satisfaction from 8000+ students since 2013

5 star rated teaching and study materials

200+ client firms to support placement

Best technical training institute with top rated practical sessions

Flexible timings and supportive infrastructure

Mock assessments using series of tests and papers in Graphic Designing

Resume preparation

Python training kolkata

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Python Course Objectives