Python Programming Training in Pune

Online Python Certification Course

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Python Syllabus

The detailed syllabus is designed for freshers as well as working professionals
  1. An Introduction to Python
    • Why Python, its Unique Feature and where to use it?
    • Python Environment Setup
    • Discuss about IDE’s like IDLE, Pycharm and Enthought Canopy
    • Start programming on an interactive shell.
    • Python Identifiers, Keywords
    • Discussion about installed module s and packages
    • Access Command line arguments within programs
  2. Conditional Statement, Loops, and File Handling
    • Python Data Types and Variable
    • Condition and Loops in Python
    • Decorators
    • Python Modules & Packages
    • Python Files and Directories manipulations
    • Use various files and directory functions for OS operations
  3. Python Core Objects and Functions
    • Built in modules (Library Functions)
    • Numeric and Math’s Module
    • String/List/Dictionaries/Tuple
    • Complex Data structures in Python
    • Arbitrary data types and their Data Structure
    • Python built-in function
    • Python user-defined functions
    • Python packages and functions
    • The anonymous Functions – Lambda Functions
  4. Object Oriented Python
    • OOPs Concepts
    • Object, Classes and Destroying Objects
    • Accessing attributes, Built-In Class Attributes
    • Inheritance and Polymorphism
    • Overriding Methods,
    • Abstraction and Encapsulation
  5. Regular Expression
    • Regular Expressions
    • What are regular expressions?
    • The match and search Function
    • Compile and matching
    • Matching vs searching
    • Search and Replace feature using RE
    • Extended Regular Expressions
    • Wildcard characters and work with them
  6. Multithreading
    • Multithreading with Python
    • What is multithreading?
    • Starting a New Thread
    • The Threading Module
    • Synchronizing Threads
  7. File Handling
    • Writing data to a file
    • Reading data from a file
    • Read and Write data from CSV file
    • OS module
    • Rename and Removing files, directories
  8. Exception Handling in Python
    • Exceptions Handling
    • Handling various exceptions using try….except…else
    • Try-finally clause
    • The argument of an Exception and create a self exception class
    • Python Standard Exceptions
    • Raising an exceptions, User-Defined Exceptions
  9. Debugging Python Programs
    • Debug Python programs using pdb debugger
    • Assert for debugging
    • Standard project setup in Python
  10. Modules & Packages
    • Modules
    • How to import a module?
    • Packages
    • How to create packages
  11. Database Handling
    • Create Database Connection
    • Creating and accessing SQLite database
    • Python with MySQL Database
    • Creating Database table
    • CRUD operation on a database
    • Performing Transactions
    • Handling Database Errors
    • Disconnecting Database
  1. Basics of Web Page Creation
    • Understanding of basic HTML /CSS
    • HTML Header, paragraph
    • Various tag for button, label and combo-box
    • Creation of forms in HTML
  2. Django Framework
    • Introduction to Django
    • MVT Architecture
    • How to create Django App
    • Url Mapping
    • Templates
    • Introduction to static file
    • Django Model Overview
    • Creating model
    • Model template view creation
    • Django forms and validation
    • Relative Url with Template
  3. Interacting with a Database: Models
    • Overview of Models
    • Creating Models
    • Configuring the Database
    • Your First App
    • Using Django with MySQL.
    • Models-Templates-Views Paradigm
    • Inserting and Updating Data
  4. The Django Administration Site
    • Activating the Admin Interface
    • Using the Admin Interface
    • Users, Groups, and Permissions
    • Selecting an Objects
    • Deleting an Objects
  5. Views and Templates
    • URL Template Inheritance
    • Template Inheritance Coding Example
    • Quick Note on Custom Template Filters
    • Template Filters and Custom Filters
    • Template Filters Coding Examples
    • Django Passwords
    • Deploying Django Framework
  6. Form Processing
    • Django Forms
    • Form Validation
    • Model Forms
    • Relative URLs with Templates 
    • Relative URLs Coding Examples 
  7. Project Work
    • Discussion on Overview and requirements of Project
    • Creation a Web-based Application
  1. Fundamentals of Data Science and Machine Learning
    • Introduction to Data Science
    • The need for Data Science
    • BigData and Data Science’
    • Data Science and machine learning 
    • Data Science Life Cycle
    • Data Science Platform
    • Data Science Use Cases 
    • Skill Required for Data Science
  2. Mathematics For Data Science
    • Linear Algebra
      • Vectors
      • Matrices
    • Optimization
      • Theory Of optimization
      • Gradients Descent
  1. Introduction to Statistics
    • Descriptive vs. Inferential Statistics
    • Types of data
    • Measures of central tendency and dispersion
    • Hypothesis & inferences
    • Hypothesis Testing
    • Confidence Interval
    • Central Limit Theorem
  2. Probability and Probability Distributions
    • Probability Theory
    • Conditional Probability
    • Data Distribution
    • Binomial Distribution
    • Normal Distribution


Machine Learning

Python for ML along with Module1

  1. Introduction to NumPy
    • Array Operations
    • Arrays Functions
    • Array Mathematics
    • Array Manipulation
    • Array I/O
    • Importing Files with Numpy
  2. Data Manipulation with Pandas
    • Data Frames
    • I/O
    • Selection in DFs
    • Retrieving in DFs
    • Applying Functions
    • Reshaping the DFs – Pivot
    • Combining DFs
      • Merge
      • Join
    • Data Alignment
  3. SciPy
    • Matrices Operations
    • Create matrices
      • Inverse, Transpose, Trace, Norms , Rank etc
    • Matrices Decomposition
      • Eigen Values & vectors
      • SVDs
  1. MatPlotLib
    • Basics of Plotting
    • Plots Generation
    • Customization
    • Store Plots
  2. SciKit LearnBasics
    • Data Loading
    • Train/Test Data generation
    • Preprocessing
    • Generate Model
    • Evaluate Models


Machine Learning

  1. Exploratory Data Analysis
    • Data Exploration
    • Missing Value handling
    • Outliers Handling
    • Feature Engineering
  2. Feature Selection
    • Importance of Feature Selection in Machine Learning
    • Filter Methods
    • Wrapper Methods
    • Embedded Methods
  3. Machine Learning: Supervised Algorithms Classification
    • Introduction to Machine Learning
    • Logistic Regression
    • Naïve Bays Algorithm
    • K-Nearest Neighbor Algorithm
    • Decision Tress (SingleTree)
    • Support Vector Machines
    • Model Ensemble
      • Bagging
      • Random Forest
      • Boosting
      • Gradient Boosted Trees
    • Model Evaluation and performance
      • K-Fold Cross Validation
      • ROC, AUC etc…
  1. Machine Learning: Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Decision Tree and Random Forest Regression
  2. Machine Learning: Unsupervised Learning Algorithms
    • Similarity Measures
    • Cluster Analysis and Similarity Measures
    • K-chical Clustering
    • Principal means Clustering
    • HierarComponents Analysis
    • Association Rules Mining & Market Basket Analysis
  3. Text Mining
    • Basics
    • Term Document Matrix
    • TF-IDF
    • Twitter Sentiment Analysis
  1. Project Work
  • Machine Learning end to end Project blueprint
  • Regression predictive modeling – House Price Prediction
  • Classification predictive modeling – Binary Classification
  • Widespread coverage for each Topic
  • Various Approaches to Solve Data Science Problem
  • Pros and Cons of Various Algorithms and approaches
  1. Introduction to Selenium
    • Introduction to Automation Testing
    • Why Automation Testing
    • Introduction to Selenium components
    • History and various versions of selenium
    • What is Selenium 3.0
    • Advantages of using Selenium over other tools.
  2. Installation and setting up the environment
    • Installation of Python
    • Automation Setup for Selenium Web Driver
    • Install and Configure PyDev in Eclipse
  3. Selenium-IDE
    • Introduction
    • IDE Features
    • Building & Running Test Cases
    • Building and Running Test Suites
  4. Selenium Web Driver 2.0
    • Why Selenium Web Driver
    • What is a Driver
    • Download & configuring Web driver
    • Architecture of selenium web driver
    • Drivers for Firefox, IE, chrome
  5. Identification of Locators
    • Tools to identify elements/objects
    • Different methods of finding an element
      • By ID, By name, class
      • By Xpath, By Tag name
      • By Link text
      • By CSS
      • Using Effective X-path
  1. Selenium Commands
    • Various types of operation that can be
    • performed on any elements and how to use them.
    • Browser Commands, Navigation Commands
    • Working with a different browser
    • Handling Checkbox, RadioButton
    • Dropdown and Select Operations
    • Capturing Screenshots
    • Handling Keyboard Event and Mouse Event
    • Multiple Window Handling
    • Alert & Pop Up Handling.
  2. Wait Commands in Selenium
    • Implicit Wait
    • Explicit Waits, Expected Conditions
 

Advanced Selenium

  1. Framework Designing
    • What is Framework
    • Different Types of Framework.
    • How to Design a framework?
    • Data-Driven Framework using Excel
      • Reading and writing data from Excel
      • Executing Testcases from Excel
  1. PyTest Framework
    • Introduction to PyTest framework
    • Installing PyTest
    • PyTest Fixtures
    • Parametrized Test Functions
    • Running multiple tests using PyTest
    • Generating Test report
  2. Unit Test Framework PyUnit
    • Basic of pyunit
    • pyunit Installation
    • pyunit annotation
    • Test Case creation 
    • Test Case execution
    • Assertions/Reporting Errors
    • Suite execution
    • pyunit Reports
    • Using pyunit in Selenium
  3. POM Framework
    • Advantages of POM
    • How to implement
    • Using Page Object and Page Factory
  4. Continuous Build Integration tools- Jenkins
    • What is Jenkins and how to use it
    • Installation and configuration of Jenkins

Front End Technologies

  1. HTML
    • Introduction and Basic Structure of HTML
    • Basics, Elements, Attributes
    • Paragraphs and Formatting
    • HTML Skeleton, Links, Images
    • HTML Tables, Blocks
    • HTML Lists, Quick List
    • HTML Blocks
    • HTML Layouts & Forms, IFrames
    • HTML Colors
  2. CSS
    • Introduction
    • Syntax
    • Id & Class
    • Backgrounds
    • Text and Fonts
    • Links and Lists
    • Box Model
    • Advanced Topics
    • Dimensions, Display
    • Positioning, Floating
    • Align
  3. JavaScript
    • Introduction
    • Statements & Comments
    • Variables
    • Operators and Comparisons
    • Conditional Statements and Loops
    • User Defined Functions
    • JS Objects
    • JS Validations
  4. Bootstrap
  • What is Bootstrap and its Setup
  • How to Create a Layout in Bootstrap
    • Grid Classes
  • Basic Tags in Bootstrap
    • Contextual colors and backgrounds
  • Table in Bootstrap
    • Bootstrap Basic Tables
    • Striped Rows, Hover Rows
    • Bordered Table, Condensed Table
    • Responsive Tables
  • Navigation bar in Bootstrap
    • Inverted Navigation Bar
    • Fixed Navigation Bar
    • Navigation Bar with Dropdown
    • Right-aligned Navigation Bar
    • Collapsing the Navigation Bar
  • Form & Buttons in Bootstrap
    • Vertical Form
    • Horizontal Form
    • Inline Form
    • Block Level Buttons
    • Active/Disabled Button


Database Handling with Python

  1. Python MySQL Database Access
    • Create Database Connection
    • DML and DDL Operations with Databases
    • Performing Transactions
    • Handling Database Errors
    • Disconnecting Database
  2. Database Handling with NoSQL DB
    • SQL vs NoSQL
    • MongoDB
    • PyMongo
    • Establishing a Connection
    • Accessing Database
    • DML and DDL Operations

Project Work

  • User Login and Registration site
  • Create an online Test evaluation system for Institute
  • Building an E-commerce site in Django

Online Python Training and Certification Course at 3RI Technologies

How 3RI is best for Python Online learning for freshers as well as experienced?
Python is a general-purpose, high-level programming language. Everyone here knows that computer depends on programming for proper functioning and working. And there are many programming languages available which, in a way, help the developers work fluently and create amazing software applications. And it becomes more comfortable if the programming language used is Python.
Python is one of the most renowned, high-level, general-purpose programming languages, which is very easy to learn, understand, and use. It is broadly used dynamic programming language when compared with all other languages like PHP, Java, etc. Now, if you are willing to learn Python, then the next step towards a successful career is choosing the right institute for pursuing the course.
3RI Technologies is one of the most popular institutes which provide the best python courses. Here you will get to learn everything from the start to end. All the trainers appointed are industrial experienced once and help you to understand every topic easily. You will get to learn new tricks and also an opportunity to develop your project using Python.
Even if you miss a lecture, there is no need to worry; you can cover it up whenever possible. As a student of 3RI Technologies, you will also receive a certificate after completion of the course. You will also get an opportunity to attend practical exams, tests, mock examinations, which will help you in a way to hone your Python skills. Proper notes, ebooks, and notes are also provided for every topic covered in the classes. You are also free to adjust the lessons according to your availability, i.e., you can take the weekdays or weekend classes.
So, why to think much, visit our website now and enquire about our python course and register now!!

3RI Technologies provides python training in different modules from beginner to advance level in the following streams.

  • Python Programming – Basics and Advanced 
  • Python for Data Science 
  • Python for Automation Testing
  • Python for Cloud Computing and DevOps
  • Python for Web development

Students can choose any of the modules. Please refer syllabus for different modules of python training.

The joy of coding Python should be in seeing short, concise, readable classes that express a lot of action in a small amount of clear code -- not in reams of trivial code that bores the reader to death.

Key Features of Python Training 

  • 100 % Placement Assistance
  • Resume Preparation
  • Interview Preparation
  • Missed Sessions Covered
  • Multiple Flexible Batches
  • Hands-on Experience on One Live Project.
  • Practice Course Material

DURATION:

  • 36 Hours

 

PREREQUISITES:

  • No Prerequisites. Basic Knowledge of Programming is an advantage.


WHO CAN JOIN THIS COURSE?

  • Software Developers and Automation Engineers
  • Data Scientists & Data Analysts
  • Network Engineers

FAQs

Most frequent questions and answers
Yes! While registration, if you have selected an ‘online course,’ then all the lectures, practice hours, tests, and mock exams are conducted online. There is nothing to worry about lectures done as syllabus, and course plan and schedule are discussed with you before admission.
So come & join our scholar python online training courses and learn everything by staying at home!! Register Now!

Of course, yes! At 3RI Technologies, you can select the timing and batches according to your availability. The online python courses are one of the most renowned training programs at 3RI Technologies. Don’t lose the opportunity of becoming the best developer or software programmer. Enquire now!

3RI Technologies’ Python online training sessions are conducted as per your availability. You can sit and take your course at any time but have to compulsory complete the hours at a provided dead-end. 3RI Technologies also help you with ebooks, online tests, mocks, and practice sessions according to the syllabus covered.

Once you register for the Python online course, you are trained from scratch. All the ebooks notes, and practice tests, mock exams, and required extra training is conducted according to once grasping power and learning. You will be provided with all the notes, books, and tricks through online sources like WhatsApp, email, and 3RI Technologies group. So here need to worry about the study materials you get for an online python course. 3RI Technologies is here to provide you with the best of all with proper study materials and examinations.

Many of you might want to know about missed class recovery. So here it is. Sometimes it happens to be that you have got an emergency or some issue because of which you are not able to attend the Python online session. Then you can quickly recover those sessions after your availability. As 3RI Technologies is here for you, and it understands your emergency work and urgent situations, we have designed your online python courses according to that.

There are many online training courses here, but the best of all is 3RI Technologies, and it is because of the following features:


Live Training from Trainer: The sessions conducted are live and not recorded or capture, repeated videos. Whatever you learn here will be according to the latest technologies in Python. The entire present syllabus will be covered.

Live Projects Available: There are proper live projects assigned to individual students and also with a group project after completion of the python course. These projects will always add a plus point in your resume after getting the course certificate for the same.

Missed Session Covered: All the missed sessions can be covered sooner or later according to your availability. There is no need to worry if you couldn’t attend a course because of some emergency.

Ebooks Provided: Once you register yourself for the course, you have been provided with proper ebooks of your Python online course. And according to the training, lesions covered appropriate notes, and books are also offered to you through online sources like WhatsApp, email, and 3RI Technology groups.

If you have any doubts during the session, you can note it down and later after the course can contact the trainer and clear your doubts there and then.

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