Python Course

 

 

Python Programming Course

This Python Course will help you master important Python programming concepts such as data & file operations in Python, object-oriented concepts in Python & various Python libraries such as Pandas, Numpy, Matplotlib, and so on. The Power of Django MVC Framework helps you developed application rapidly. This Python certification course is also a gateway to your Data Science career. The course is curated by industry experts which includes real-time case studies.

Why should you take Python Course

Since Python is Highly popular among MNCs, it is easy to find relevant job opportunities in the market.

Python is the future of Artificial Intelligence, Machine Learning and Datascience

 

Quick Contact

+91 9958873874

 

 

Like the Course Python Course ? Enroll Now or Get the free career path

Since Python is Highly popular among MNCs, it is easy to find relevant job opportunities in the market. Since Python is Highly popular among MNCs, it is easy to find relevant job opportunities in the market.

 

Curriculum
Course Details
Certification
Features

Python Course Course Curriculum

INTRODUCTION TO PYTHON3

  • History
  • Features
  • Installation
  • Operators
  • Variables

  • Python numbers
  • Python strings
  • Python lists
  • Python tuples
  • Python dictionary

  • If statements
  • If else
  • Elif statements
  • While loop
  • For loop

  • Defining a function
  • Calling a function
  • Function arguments
  • Importing modules
  • Built in modules

  • Class and objects
  • Super and sub class
  • Constructor
  • Inheritance

  • Opening and closing a file
  • Reading and writing on a file
  • File methods
  • Exception handling
  • Raising an exception

  • Introduction to Tkinter
  • Tkinter programming
  • Tkinter widgets
  • Standard attributes
  • Geometry management

  • Qt toolkit
  • Installing PyQt
  • Creating a GUI application with code
  • Event handling in PyQ

  • Using radio buttons
  • Using check box
  • Spin box
  • Scroll bar and slider
  • List widget
  • Display system clock time
  • Working with calendar
  • Combo box
  • Displaying table
  • Displaying graphics

  • Environment
  • Directory Commands
  • Miscellaneous OS Calls and Walking through Directories
  • Network programming and Introduction

  • Introduction
  • DDL commands
  • DML commands
  • SQL statements ,operators, clauses
  • Aggregate functions

  • Database maintenance through console based programs
  • Database maintenance through GUI based program

  • Mongodb installation
  • Mongodb Compass
  • Mongodb Data Modeling
  • Mongodb Connectivity
  • Mongodb CRUD operations

  • Fire base Installation
  • Environment setup
  • Introduction to JSON
  • CRUD operations

  • HTML 4.0
  • CSS

  • Java script
  • jQuery
  • Bootstrap

  • What is Django?
  • Where did it come from?
  • What does Django code look like?
  • Installing Django

  • HTML forms
  • Django form handling process
  • Validation
  • The template
  • Ways of using form template variables
  • Model forms
  • Generic editing views

Working with Models and Databases (Concept)

  • Datastore design considerations
  • Relational v/s NoSQL stores
  • Understanding database abstraction layers (DAL)
  • Entities, Relationships
  • Tables, Fields, Keys, Indexes
  • Object Relational Mapping (ORM) and ORM issues

  • Creating models
  • Object CRUD
  • Creating objects
  • Retrieving objects
  • Filters when retrieving objects
  • Comparing objects
  • Updating objects
  • Deleting objects

  • Model Inheritance
  • Aggregation
  • Joins and Aggregates
  • filter() and exclude()
  • order_by()
  • values()
  • Managers
  • Working with NoSQL stores
  • Performing raw SQL queries
  • Transactions
  • Working with multiple databases

  • Registering models
  • Creating a super user
  • Logging in and using the site
  • Advanced configuration

  • Project setup
  • Views
  • URL’s
  • Settings
  • Testing our API
  • Enabling authentication
  • Creating users and groups
  • Setting up your authentication views
  • Permissions

  • Production environment
  • Choosing a hosting provider
  • Getting your website ready to publish
  • Installing local library

  • Introduction
  • What Is Flask
  • Why Use Flask?
  • Installing Flask
  • Setting Up Our Development Environment
  • Locally Using our Operating System

  • Locally Using Docker
  • Using a Cloud-Based IDE
  • The Code Editor
  • Installing Flask
  • Our Initial App
  • Debugging
  • Routing
  • Using url_for
  • The GET method
  • The POST method

  • The Login Template
  • The Login Function
  • Redirect After POST
  • Flash Messages
  • Better HTML
  • Template Inheritance
  • Calling Block Super
  • Introduction to Cookies
  • The Static Folder

  • Logging
  • Introduction to MySQL
  • Our First Table
  • Flask Application: A Flask Blog
  • The Requirements.txt File
  • Introduction
  • The Basic Structure
  • Setting up the ORM
  • The Author Model
  • Interacting with the ORM
  • The Base Template and Bootstrap
  • Introduction to WTForms
  • Handling Form Errors
  • Template Macros
  • The Blog Model and Form
  • Blog Admin and Setup Templates
  • Blog Creation Database
  • Author Login
  • Our First Decorator
  • Introduction to Migrations
  • More Secure Passwords
  • Checking “Is Author”
  • The Post and Category Models
  • Post Migration and Testing

  • Blog Post Form
  • Saving the Post to the Database
  • The Article View
  • List Articles View
  • Creating a Footer
  • Pagination
  • Setting up Flask-Uploads
  • Adding Images to Blog Posts
  • Displaying the Image in the Article
  • Deleting an Article
  • Editing an Article
  • Unit Testing
  • Introduction to Unit Testing
  • Create Blog Test
  • User Tests

PYTHON WITH SELENIUM

  • Webdriver Installation
  • How to increase view count on a website?
  • How to login on a website, here we take example of Zomato
  • Automate Google Search using Selenium
  • gmplot in python
  • Implementing Web Scraping in Python with BeautifulSoup

GOOGLE API
CONVERT TEXT TO SPEECH IN PYTHON
PYTHON QR-CODE
PYTHON SCREEN SHOT
WEB API AND REST API

  • Introduction to json
  • Postman

TEXT TO PDF CONVERTION
SPEECH RECOGNITION
SCAN AND EXTRACT TEXT FROM AN IMAGE USING PYTHON LIBRARIES

 

Python Course Description

Why learn Python Programming?

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. As of today, it is the most preferred language for Artificial Intelligence, Robotics, Web Development and DevOps.

After completing this course, you will be able to:
  • Write python scripts, unit test code
  • Programmatically download and analyse data
  • Learn techniques to deal with different types of data – ordinal, categorical, encoding
  • Learn data visualization
  • Using IPython notebooks, master the art of presenting step by step data analysis

There are no hard pre-requisites. However, basic understanding of Computer Programming terminologies is beneficial.

Python Course  Features

Real-Time Training Experts

Experienced faculties took the classes and one to one attention, Novice to professional handing capable faculties.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various DevOps concepts.

Assignments

Each class will be followed by practical assignments. Both online and offline with detailed solutions after the exam.

Lifetime Access

You get lifetime access to all SMEC Technologies branches to refresh the course and get the new updates from Instructors.

24 x 7 Expert Support

We have 24×7 online support team to resolve all your technical queries, through ticket based tracking system or above the phone.

Certification

Successfully complete your final course project and SMEC Technologies will certify you as a Python Course.

 

Like the Course Python Course ? Enroll Now or Get the free career path

Since Python is Highly popular among MNCs, it is easy to find relevant job opportunities in the market. Since Python is Highly popular among MNCs, it is easy to find relevant job opportunities in the market.

 

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