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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Guaranteed minimum 10 interview chances with placement companies

Mr. Sreedhar S

Senior Software Engineer

Mr. Ganesh Hegde

Senior Solutions Architect having 11+ yrs industry exposure

Python Trainer Profile

Having 12 years of experience in Web domain with Object Oriented Programming experience and good knowledge of advanced language features in Python
Trained more than 1000+ students on Python.
5 * rating from all our students.
Having good experience developing web application with latest technologies.
Well versed in a number of frameworks of python like Django, Flask etc.
Demonstrates excellent programming skills.
Familiarity with some ORM (Object Relational Mapper) libraries
Excellent training delivery skills with an ability to present information well.
Demonstrable proof of enthusiasm, initiative, creativity and problem solving.

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

Python Responsibilities

Research and analyze industry changes/developments in search engine optimization and search discovery across multiple channels and programs
Participate in analyzing and diagnosing technical website issues that impact SEO
Create and present written recommendations, reports, and presentations
Assist in training internal teams to follow SEO best practices.
Develop, implement and maintain Link Building Programs for SEO customers.
Monitor and report on SEO & PPC campaign performance through the use of Web Analytics Software, Bid Management Platforms & Organic Ranking programs.
Communicate effectively with internal account teams (offline and online) in order to make sure integrated marketing campaigns preserve a 100% digital approach.
Stay abreast of the latest trends in the Search Marketing industry through constant research, article reading, webinars and industry events.
Develop, implement,optimize and report on Pay per Click (PPC) campaigns for various customers across a variety of online publishers including Google, BING, Yahoo, Facebook, LinkedIn and others.
Perform Search Engine Optimization (SEO) audits & provide recommendations to help improve the quantity and quality of organic traffic to customer web sites.
Conduct keyword research, analysis, bucketing, and matching in order to develop quality keyword lists for both PPC and SEO purposes.
Create promotional text ads for use with a variety of campaigns across different publishers.
Manage promotion code creation, tracking, and troubleshooting.
Improve performance of key marketing channels including SEM, Paid Social, SEO, and Display.
Provide recommendations on how to optimize customer journeys
Track performance of marketing automation campaigns and meet applicable KPIs
Delivering high-quality content for multiple streams,

FAQs

Why should I choose Apponix for Python training?

Expert trainers with an experience of 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

What are the job opportunities waiting?

Python Developer
Infrastructure Automation Developer
Python Web Developer
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
DevOps Engineers
Network Professionals
Application Support Analysts
Big Data Professionals
BI and Project Managers
ETL Professionals
Marketing and Sales Professionals
Communication Professionals

What is the duration of the course

Approximately 40 hours

Why Apponix

Qualified and expert trainers.
100% satisfaction rate from students
Dedicated HR team
100% placement
Excellent lab facility and AC classrooms 7000+ happy students.

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Python Course Syllabus

SECTION - I

1. Overview

2. Environment Setup

3. Basic Concepts

4. Basic Concepts

5. Basic Operators in Python

6. Loops and Decision Making

SECTION - II

1. Functions

2. Python Modules and Packages

3. Basic OOPs Concept

4. Decorator, Iterator and Generator

5. Anonymous Function

SECTION -III

1. File Manipulation

2. Python GUI

3. SQL and Python

4. NoSQL and Python

5. Project Demonstration Tkinter with SQL

6. Other Concepts

7. Advanced Concept -- Overviews

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Apponix Ratings

apponix +11000 Satisfied Learners

5/5

5/5

5/5

5/5

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