Chat with us, powered by LiveChat 6 Months 6 Weeks Industrial Training

Our Courses

Python Training Courses

Python is a general purpose, high-level, versatile, interactive and an extremely popular programming language. It’s a great language to start off with as its highly readable and unlike other programming languages which use punctuation predominanatly; Python makes use of English keywords often. Moreover, it has fewer syntactical constructions than other languages and is a great language to learn as it can be used for a gamut of functions from software development, big data manipulation, web development to scientific applications as well.

It doesn’t matter whether you are a new or experienced programmer, when you choose WorldWithWeb for your Python needs; here are some of the benefits.

  1. WorldWithWeb offers an individualistic approach to impart training on the Programming Foundations with Python.
  2. We have in-depth knowledge and experience in developing dynamic websites, custom web applications and desktop Applications in Python and Django.
  3. As a pioneer in providing Python programming and frameworks, we have a Python certified team of brilliant professionals who have immense knowledge, experience and expertise in building powerful web applications, applications for testing, build control and management, and more by leveraging and making use of Python technologies.
  • What is Python..?
  • Installing Python
  • How to execute Python program
  • Getting help
  • Writing your first program
  • Python keywords & Identifiers
  • Python Indentation
  • Comments
  • Getting user input
  • Exercise
  • Variables
  • Numbers
  • Strings
  • Lists
  • Tuple
  • Dictionary
  • Exercise
  • Control Flow Statements
  • While loop
  • for loop
  • break & continue statement
  • pass statement
  • Exercise
  • Introduction
  • Calling a function
  • Function arguments
  • Built-in functions
  • Scope of variables
  • Passing function to a function
  • Decorators
  • Lambda
  • Exercise
  • What is module..?
  • Importing module
  • What is django..?
  • Installing django
  • About view function
  • HttpRequest & HttpResponse
  • How to create views..?
  • Define models
  • Setting up database access
  • Creating django apps
  • Defining model fields
  • Creating a model
  • How to create tables for models in Database
  • Adding Model String Representations
  • Inserting & updating Data
  • Filtering Data
  • Ordering Data
  • Slicing Data
  • Deleting Objects
  • Html forms
  • GET & POST methods
  • Form fields in django
  • Building a form in Django
  • Placing form instance into the templates context
  • Enabling admin interface
  • Creating admin user

6 WEEKS PYTHON TRAINING

  • What is Python..?
  • Installing Python
  • Digital QA & Testing
  • How to execute Python program
  • Getting help
  • Writing your first program
  • Python keywords & Identifiers
  • Python Indentation
  • Comments
  • Getting user input
  • Exercise
  • Variables
  • Numbers
  • Strings
  • Lsts
  • Tuple
  • Dictionary
  • Exercise
  • Control Flow Statements
  • While loop
  • for loop
  • break & continue statement
  • pass statement
  • Exercise
  • Introduction
  • Calling a function
  • Function arguments
  • Built-in functions
  • Scope of variables
  • Passing function to a function
  • Decorators
  • Lambda
  • Exercise
  • What is module..?
  • Importing module
  • What is Python..?
  • Installing Python
  • How to execute Python program
  • Getting help
  • Writing your first program
  • Python keywords & Identifiers
  • Python Indentation
  • Comments
  • Getting user input
  • Exercise
  • Variables
  • Numbers
  • Strings
  • Lists
  • Tuple
  • Dictionary
  • Exercise
  • Control Flow Statements
  • While loop
  • for loop
  • break & continue statement
  • pass statement
  • Exercise
  • Control Flow Statements
  • While loop
  • for loop
  • break & continue statement
  • pass statement
  • Exercise
  • Introduction
  • Calling a function
  • Function arguments
  • Built-in functions
  • Scope of variables
  • Passing function to a function
  • Decorators
  • Lambda
  • Exercise
  • What is module..?
  • Importing module

DJANGO TRAINING

  • What is Django..?
  • Installing Django
  • MVC
  • Your First View
  • Mapping urls to Views
  • How django process a request..?
  • Urlpatterns
  • Regular expressions
  • 404 Errors
  • Template Basic
  • Dictionaries and Contexts
  • Built-in Tags & filters
  • Custom Tags & filters
  • Using Templates in Views
  • Define models
  • Setting up database access
  • Creating django apps
  • Defining model fields
  • Creating a model
  • How to create tables for models in Database
  • Adding Model String Representations
  • Inserting & updating Data
  • Filtering Data
  • Ordering Data
  • Slicing Data
  • Deleting Objects
  • Enabling admin interface
  • Creating admin user
  • Forms in Django
  • Searching Query
  • GET & POST methods
  • Form fields in django
  • Simple validation
  • Custom Validation
  • Building a form in Django
  • Placing form instance into the templates context
  • User objects
  • Using the Django authentication system
  • Authentication Views
  • Extending the existing User model
  • Build a login-logout application
  • View()
  • TemplateView()
  • CreateView()
  • ListView()
  • DetailView()
  • FormView()
  • UpdateView()
  • DeleteView()
  • Function based pagination
  • class based pagination
  • Configure email setting
  • Send_mail funtion
  • Introduction about Sessions & cookies
  • How to use sessions..?
  • Using sessions in views
  • Authentication in web requests
  • Login & Logout with session
  • Activating middleware
  • Write your own middleware
  • Expire session due to inactivity

PYTHON AND DJANGO TRAINING

  • Introductory Remarks about Python
  • A Brief History of Python
  • How python is differ from other languages
  • Python Versions
  • Installing Python
  • IDLE
  • Getting Help
  • How to execute Python program
  • Writing your first program
  • Python keywords and Identifiers
  • Python statements
  • Python indentation
  • Comments in python
  • command line arguments
  • Getting user input
  • Exercise
  • Introduction
  • Variables
  • Data types
  • Numbers
  • Strings
  • Lists, tuples & Dictionary
  • Exercise
  • Introduction
  • Control Flow and Syntax
  • The if Statement
  • Python Operators
  • The while Loop
  • break and continue
  • The for Loop
  • Pass statement
  • Exercise
  • Introduction
  • Calling a function
  • Function arguments
  • Built in functions
  • Scope of variables
  • Decorators
  • Passing Functions to a Function
  • Lambda
  • Closures
  • Exercise
  • Modules
  • Importing module
  • Standard Module – sys
  • Standard Module – OS
  • The dir Function
  • Packages
  • Exercise
  • Errors
  • Run Time Errors
  • Handling IO Exceptions
  • Try…. except statement
  • Raise
  • Assert
  • Exercise
  • Introduction
  • Writing Data to a File
  • Reading Data From a File
  • Additional File Methods
  • Working with files
  • Working with Directories
  • The pickle Module
  • Exercise
  • Introduction classes and objects
  • Creating Classes
  • Instance Methods
  • Special class method
  • Inheritance
  • Method overriding
  • Data hiding
  • Exercise
  • Introduction
  • Match function
  • Search function
  • Grouping
  • Matching at Beginning or End
  • Match Objects
  • Flags
  • Exercise
  • What are sockets?
  • Creating sockets
  • Server-client socket methods
  • Connecting client server
  • client-server chatting program
  • Exercise
  • MVC pattern
  • ORMs(Queryset)
  • Installing django
  • Creating virtual Environment
  • Set up database connection
  • Creating new project
  • About view function
  • HttpRequest & HttpResponse
  • How to create views..?
  • About URL pattern
  • How Django processes a request..?
  • Passing positional arguments to a view
  • Passing keyward arguments to a view
  • Simple example of a named group
  • Define models
  • Setting up database access
  • Creating django apps
  • Defining model fields
  • Creating a model
  • How to create tables for models in Database
  • Adding Model String Representations
  • Inserting & updating Data
  • Filtering Data
  • Ordering Data
  • Slicing Data
  • Deleting Objects
  • Define Template
  • Creating Template objects
  • Templates tags
  • Templates filter
  • Rendering of templates
  • RequestContext Processors
  • Context Processors
  • Html forms
  • GET & POST methods
  • Form fields in django
  • Building a form in Django
  • Placing form instance into the templates context
  • Enabling admin interface
  • Creating admin user
  • Overview
  • Layout Components
  • Demo
  • Introduction about Sessions & cookies
  • How to use sessions..?
  • Using Django Authentication system
  • Authentication in web requests
  • Authentication Decorators
  • Login & Logout
  • Building login & logout Application
  • Configure email setting
  • Send_mail funtion
  • Detailed Training on each topic (From the baisc till advance level)
  • More Practical then theory.
  • Training on latest versions.

 

PYTHON + DATA SCIENCE + MACHINE LEARNING

  • What is Python..?
  • A Brief history of Python
  • Why Should I learn Python..?
  • Installing Python
  • How to execute Python program
  • Write your first program
  • VARIABLES & DATA TYPES
  • Variables
  • Numbers
  • String
  • Lists ,Tuples & Dictionary
  • if…statement
  • if…else statement
  • elif…statement
  • The while…Loop
  • The for….Loop
  • continue statement
  • break statement
  • pass statement
  • Define function
  • Calling a function
  • Function arguments
  • Built-in functions
  • Modules
  • How to import a module…?
  • Packages
  • How to create packages
  • Introduction about classes & objects
  • Creating a class & object
  • Inheritance
  • Methods Overriding
  • Data hiding
  • Writing data to a file
  • Reading data from a file
  • Read and Write data from csv file
  • try…except
  • try…except…else
  • finally
  • os module

DATA SCIENCE

  • what is data analysis ?
  • why python for data analysis ?
  • Essential Python Libraries
  • Installation and setup
  • Ipython
  • Jupyter Notebook
  • Creating multidimensional array
  • NumPy-Data types
  • Array attributes
  • Indexing and Slicing
  • Creating array views and copies
  • Manipulating array shapes
  • I/O with NumPy
  • Installing pandas
  • Pandas dataframes
  • Pandas Series
  • Data aggregation with Pandas DataFrames
  • Concatenating and appending DataFrames
  • Joining DataFrames
  • Handling missing data
  • Writing CSV files with numpy and pandas
  • HDF5 format
  • Reading and Writing to Excel with pandas
  • JSON data
  • Parsing HTML with Beautiful Soup
  • PyTables
  • Basic statistics with numpy
  • Linear Algebra with numpy
  • Numpy random numbers
  • Creating a numpy masked array
  • Installation matplotlib
  • Basic matplotlib plots
  • Scatter plots
  • Saving plots to file
  • plotting functions in pandas
  • What is ML..?
  • Types of ML
  • Decision trees
  • Linear regression
  • Logistic regression
  • Naive Bayes
  • k-Nearest Neighbors
  • Install nltk
  • Tokenize words
  • Tokenizing sentences
  • Stop words with NLTK
  • Stemming words with NLTK
  • Speech tagging
  • Sentiment analysis with NLTK
  • Setting up opencv
  • Loading and displaying images
  • Applying image filters
  • Tracking faces
  • Face recognition
  • What is Hadoop?
  • MapReduce
  • File handling with Hadoopy
  • Pig
  • Pyspark

MACHINE LEARNING

  • What is Machine learing?
  • Overview about sci-kit learn and tensorflow
  • Types of ML
  • Some complementing fields of ML
  • ML algorithms
  • Machine learning examples
  • Simple regression
  • Multiple regression
  • Logistic regression
  • Predicting house prices with regression
  • Defnition
  • Types of clustering
  • The k-means clustering algorithm
  • Introducing data mining
  • Decision Tree
  • Affity Analysis
  • Clustering
  • Install nltk
  • Tokenize words
  • Tokenizing sentences
  • Stop words with NLTK
  • Stemming words with NLTK
  • Speech tagging
  • Sentiment analysis with NLTK
  • Introducing matplotlib
  • Bar Charts
  • Line Charts
  • Scatter plots
  • Bubble charts
  • Setting up opencv
  • Loading and displaying images
  • Applying image filters
  • Tracking faces
  • Face recognition
  • Simple linear regression
  • Multiple regression
  • Training and testing model

ENQUIRE NOW OR CALL-98726 06864