: sivasoft@sivasoft.in
Phone & WhatsApp : +91 70954 49101
Phone & WhatsApp : +91 63029 64834
Phone & WhatsApp : +91 79974 36891
Phone & WhatsApp : +91 70954 49101
Phone & WhatsApp : +91 63029 64834
Phone & WhatsApp : +91 79974 36891
ONLINE PYTHON AND DJANGO TRAINING COURSE
Apply For CourseWhat is Python ?
- Python is a General Purpose, High Level, Procedure Oriented, Object Oriented, Scripting Programming Language.
- It comes with a lot of modules and packages to reducing modularity of the code and helps to improve the application performance.
What is Python ?
- Python is friendly & easy to learn
- Python programs can be developed and tested quickly since there is no compilation phase.
- Python is very easy to debug ,Python runs everywhere and Python is a Open source.
Who should Learn this course ?
- Automation(Robotics- Artificial Intelligence)
- Data Science(Data Analysis and Data Reporting)
- Administration Activities(DBA, System Administration, OS Admin, Network Admin)
- Web Application Development
- DevOps Engineer & Cloud Engineer(AWS/Azure/Sales force/Google Cloud)
- Test-Engineer(Selenium)
- IOT(Internet Of Things) & Embedded application development
- GUI application Development & Scientific Application
- Games Development & Animation applications
- Hacking(Implement Cryptography and Network Security Algorithms)
- Business People
- Beginner's also Learning Python
- GIS (Geographic Information System)
- Python Get Started
- Python Syntax
- Python Comments
- Python Variables
- Python Variables
- Variable Names
- Assign Multiple Values
- Output Variables
- Global Variables
- Python Data Types
- Python Numbers
- Python Casting
- Python Strings
- Python Strings
- Slicing Strings
- Modify Strings
- Concatenate Strings
- Format Strings
- Escape Characters
- String Methods
- Python Booleans
- Python Operators
- Python Lists
- Python Lists
- Access List Items
- Change List Items
- Add List Items
- Remove List Items
- Loop Lists
- List Comprehension
- Sort Lists
- Copy Lists
- Join Lists
- List Methods
- Python Tuples
- Python Tuples
- Access Tuples
- Update Tuples
- Unpack Tuples
- Loop Tuples
- Join Tuples
- Tuple Methods
- Python Sets
- Python Sets
- Access Set Items
- dd Set Items
- Remove Set Items
- Loop Sets
- Join Sets
- Set Methods
- Python Dictionaries
- Python Dictionaries
- Access Items
- Change Items
- Add Items
- Remove Items
- Loop Dictionaries
- Copy Dictionaries
- Nested Dictionaries
- Dictionary Methods
- Python If...Else
- Python While Loops
- Python For Loops
- Python Lambda
- Python Arrays
- Python Classes/Objects
- Python Inheritance
- Python Iterators
- Python Scope
- Python Modules
- Python Dates
- Python Math
- Python JSON
- Python RegEx
- Python PIP
- Python Try...Except
- Python String Formatting
- File Handling
- Python File Handling
- Python Read Files
- Python Write/Create Files
- Python Delete Files
NumPy
- Introduction
- Getting Started
- Creating Arrays
- Array Indexing
- Array Slicing
- Data Types
- Copy vs View
- Array Shape
- Array Reshape
- Array Iterating
- Array Join
- Array Split
- Array Search
- Array Sort
- Array Filter
- Random
- ufuncli
Machine Learning
- Getting Started
- Mean Median Mode
- Standard Deviation
- Percentile
- Data Distribution
- Normal Data Distribution
- Scatter Plot
- Linear Regression
- Polynomial Regression
- Multiple Regression
- Scale
- Train/Test
- Decision Tree
MySQL
- Get Started
- Create Database
- Create Table
- Insert
- Select
- Where
- Order By
- Delete
- Drop Table
- Update
- Limit
- Join
MongoDB
- Get Started
- Create Database
- Create Collection
- Insert
- Find
- Query
- Sort
- Delete
- Drop Collection
- Update
- Limit
Pandas
- Home
- Introduction
- Environment Setup
- Introduction to Data Structures
- Series
- DataFrame
- Panel
- Basic Functionality
- Descriptive Statistics
- Function Application
- Reindexing
- Iteration
- Sorting
- Working with Text Data
- Options & Customization
- Indexing & Selecting Data
- Statistical Functions
- Window Functions
- Aggregations
- Missing Data
- GroupBy
- Merging/Joining
- Concatenation
- Date Functionality
- Timedelta
- Categorical Data
- Visualization
- IO Tools
- Sparse Data
- Caveats & Gotchas
- Comparison with SQL
DJANGO
- Basics
- Overview
- Environment
- Creating a Project
- Apps Life Cycle
- Admin Interface
- Creating Views
- URL Mapping
- Template System
- Models
- Page Redirection
- Sending E-mails
- Generic Views
- Form Processing
- File Uploading
- Apache Setup
- Cookies Handling
- Sessions
- Caching
- Comments
- RSS
- AJAX
COURSES OFFERING
- 3DS MAX
- 3DS MAX & V-RAY
- ADOBE PHOTOSHOP
- ADOBE AFTER EFFECTS
- ADOBE PREMIERE PRO
- ADVANCE EXCEL
- ADVANCED JAVA
- MULTIMEDIA ADVANCED
- ANGULAR JS 1
- ANGULAR
- AUTOCAD 2D / 3D
- AWS
- BOOTSTRAP 5
- C LANGUAGE
- C++ LANGUAGE
- CODEIGNITER
- CORE JAVA
- DATA SCIENCE
- DATA STRUCTURES and ALGORITHMS in PYTHON
- DEVOPS
- DIGITAL MARKETING
- DTP
- DJANGO
- GRAPHIC DESIGNING
- HTML 4,5,6, CSS 2,3,4, JAVASCRIPT
- INFORMATICA
- JQUERY AJAX JSON
- LINUX ADMINISTRATION
- LINUX UNIX SHELLSCRIPTING
- MEAN ( FULLSTACK UI TECHNOLOGIES )
- MERN ( FULLSTACK UI TECHNOLOGIES )
- MS-OFFICE
- MS-OFFICE & ADVANCE EXCEL
- MS-OFFICE & ADVANCE EXCEL & VBA
- MS-PROJECT
- MULTIMEDIA ADVANCED
- ORACLE ADF
- ORACLE SQL PLSQL
- PHOTOSHOP
- PHP
- PRIMAVERA
- POWER BI
- PYTHON
- PYTHON + DJANGO
- REACT JS
- REVIT
- RUBY
- RUBY ON RAILS
- SALESFORCE CRM ADMINISTRATION & DEVELOPMENT
- SELENIUM
- SKETCHUP
- SPOKEN ENGLISH
- SPOKEN HINDI
- STAAD PRO
- Tally.ERP9 (GST)
- UI TECHNOLOGIES
- UI TECHNOLOGIES + ANGULAR 12
- UI TECHNOLOGIES + REACT JS
- MEAN ( FULLSTACK UI TECHNOLOGIES )
- MERN ( FULLSTACK UI TECHNOLOGIES )
- WEB / UI DESIGNING
- WEB / UI DESIGNING AND DEVELOPMENT
- WEB AND GRAPHIC DESIGNING
Solutions
