Python Training in Kochi with Certification
Job Oriented Training
3RI Technologies offer a Python training institute in Kochi that is suitable for both Freshers and experienced professionals. We provide aspiring candidates classroom training online training, and job placement support for affordable course fees. Our training program is based on both practical and theoretical concepts and is adapted to the firm’s needs. This course will train trainees in Python Django and MongoDB mastering basic to advanced ideas, building web and mobile apps, and creating GUI-based programs. Our industry expert objective is to assist aspiring candidates in improving their programming language skills and obtaining a high-paying profession.
Key Features
Course Duration : 8 Weeks
Live Projects : 1
Online Live Training
EMI Option Available
Certification & Job Assistance
24 x 7 Lifetime Support
Our Industry Expert Trainer
We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.
Python Course in Kochi Overview
Today, there are wide ranges of resources you can use for studying Python. 3RI Technologies can provide a lot of assistance if you are looking for a job and want a trainer. Among the best Python training institutes in Kochi is 3RI Technologies. Join today without any fear and feel confident about your future.
It is an industry-standard language used in a wide variety of software streams. One of the most significant features of Python is its ease of use. Python is a powerful, easy-to-use, and versatile programming language that is perfect for both beginners and experts. Python has a great readability index, making it one of the best and most necessary programming languages. Beginners benefit from Python’s ability to think like professionals and always save valuable time by not having to spend long amounts of time on confusing syntax.
3RI Technologies can get you started with Python. There is a wide range of possibilities and opportunities for you. We will help you to learn Python Full Stack at 3RI Technologies. No matter if you’re a first-time programmer or an experienced programmer, Python can be easy to pick up.
Python is a great place to start if you’re interested in tech but unsure where to start. The reason is not only that it is easier to learn, but also that it can be used for a wide variety of applications. Knowing the fundamentals of Python programming will not disappoint you. Register for our Python training and start developing Python programming skills right now.
The flexibility and number of frameworks Python provide have made it the preferred choice of language for thousands of developers over the years. Knowing for loops and if-else statements is only the beginning of being a Python Developer. Would you be able to create an algorithm that solves real-world problems with these concepts? This is what makes a competent and confident Python programmer.
You will learn as much about abstract concepts as you will about their application in solving real-life problems when you take this specialized Python course. Come learn Python programming and develop your confidence.
Through expert training and advanced lab facilities, 3RI Technologies provides the best professional training incomplete Python programming language. Besides the full stack python course, we also offer live-work experiences and participation in live projects. The placement orientation program is one of our main highlights, which allows the students to improve their interviewing skills and identify their skills in this rapidly growing industry.
It specializes in providing training and consulting services to students, professionals, corporations, and educational institutions across many countries. 3RI Technologies believes in nurturing future entrepreneurs through its educational experts. By doing so, we ensure that our quality education and related services reach every corner.
Python Course consists of:
- Our Python course curriculum is considered one of the best in the industry as it covers Python programming language concepts from beginner to advanced levels.
- Faculty is one of our strongest assets. The Python trainers at Python Certification have years of industry experience, are passionate about training, and are considered among the best in their fields
- To ensure that participants gain practical programming experience, all sessions are interspersed with hands-on Python course assignments
- Upon completion of the Python training, you will be capable of cracking interviews for Python programmer positions
- Learn Python programming concepts such as tuples, lists, data structures, data types, basic operators and GUIs, functions, exceptions, lambda expressions, multi-threading, regular expressions, networking, and more.
- Develop a deep understanding of Python OOPS concepts and modules
- Comprehensive coverage of Django Framework
- database programming and data access to various databases
Our Python tutorials are suitable for beginners as well as for advanced-level Python users. These trainers are considered the best in the industry. By providing courses based on practical knowledge and theoretical concepts, 3RI Technologies enables individuals and organizations to empower themselves, advance their careers, and create sustainable growth within their organizations.
The more we move forward, the more Artificial Intelligence and Machine Learning are becoming the shiny objects in every developer’s eyes. This is why beginners and experts alike are driving the “popularity traffic” to Python. It is this reason why Python’s popularity continues to rise.
There are some negative perceptions concerning the “non-serious” nature of Python, according to some old-school coders and working professionals. Despite this, the high demand for Python programmers seems to be at odds with this idea.
Why Python Demand is high?
Simplicity
Python is the main reason beginners learn the language. When you decide to learn how to program and code, you don’t want to start with a language that has difficult rules and a complex syntax. You can learn Python easily and it is a readable language. You don’t have to deal with classpath issues like in Java or compiler issues in C++; Python is even easy to set up. The process involves downloading, installing, and running. As a result of Python’s elegant look, you will want to show off anything you write in it to others since it is so easy to read and understand. The majority of languages aren’t like that.
Huge Community
The majority of decisions are influenced by the community and to learn something new you require a network of friends and colleagues who are your greatest assets. Google makes it easy to find solutions to Python-related problems in minutes. Programming communities have embraced python as the new “cool” language. Because Python has such a wide range of applications, like development, scientific applications, scripting, and so on, it brings together many Python experts. We need them all!
Libraries and Frameworks
It has been described as a better framework than most. Considered alongside Python’s frameworks, Django comes out on top. this framework is easy to use, secure, and fast.fast.fast. These frameworks are usually favored by developers owing to the shortened development time and ease of use they offer. As the framework becomes richer, one should learn more deeply, since it will translate into many long-term valuable results.
Automation
In automation, test scripts are required to automate tasks, which is where Python comes into play. It’s surprising how long and how many lines of code are needed to code a tool. Python includes a lot of useful tools and modules. This makes things easier and emphasizes Python’s strength. It is easy to reach the advanced level of automation with python codes. Among the toughest tasks in automation is software testing, and Python boosts its efficiency!
Jobs and Growth
Everyone seems to be adopting Python as fast as Python is growing. Python is a growing programming language, this makes a lot of sense. Python is becoming increasingly popular as more users utilize the language. Not only will you be able to obtain a job quickly, but your career will also grow more rapidly. In addition to simplicity, job opportunities are one of the best reasons to learn Python for beginners.
Salary
Lastly, but most importantly, money talks! Salary is what keeps people going. A Python developer is one of the highest-paid jobs out there. Especially in the fields of data science, machine learning, and web development, these jobs are in high demand. While many factors that contribute to it are also influenced by experience, location, and area of specialization.
Skills Required
- No Prerequisites for Python certification training
- Basic knowledge of SQL is advantageous
Python Course Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
- 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
- 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
- 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
- Object Oriented Python
- OOPs Concepts
- Object, Classes and Destroying Objects
- Accessing attributes, Built-In Class Attributes
- Inheritance and Polymorphism
- Overriding Methods,
- Abstraction and Encapsulation
- 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
- Multithreading
- Multithreading with Python
- What is multithreading?
- Starting a New Thread
- The Threading Module
- Synchronizing Threads
- 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
- 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
- Debugging Python Programs
- Debug Python programs using pdb debugger
- Assert for debugging
- Standard project setup in Python
- Modules & Packages
- Modules
- How to import a module?
- Packages
- How to create packages
- 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
- 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
- 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
- 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
- The Django Administration Site
- Activating the Admin Interface
- Using the Admin Interface
- Users, Groups, and Permissions
- Selecting an Objects
- Deleting an Objects
- 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
- Form Processing
- Django Forms
- Form Validation
- Model Forms
- Relative URLs with Templates
- Relative URLs Coding Examples
- Project Work
- Discussion on Overview and requirements of Project
- Creation a Web-based Application
- 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
- Mathematics For Data Science
- Linear Algebra
- Vectors
- Matrices
- Optimization
- Theory Of optimization
- Gradients Descent
- Linear Algebra
- 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
- Probability and Probability Distributions
- Probability Theory
- Conditional Probability
- Data Distribution
- Binomial Distribution
- Normal Distribution
Machine Learning
Python for ML along with Module1
- Introduction to NumPy
- Array Operations
- Arrays Functions
- Array Mathematics
- Array Manipulation
- Array I/O
- Importing Files with Numpy
- 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
- SciPy
- Matrices Operations
- Create matrices
- Inverse, Transpose, Trace, Norms , Rank etc
- Matrices Decomposition
- Eigen Values & vectors
- SVDs
- MatPlotLib
- Basics of Plotting
- Plots Generation
- Customization
- Store Plots
- SciKit LearnBasics
- Data Loading
- Train/Test Data generation
- Preprocessing
- Generate Model
- Evaluate Models
Machine Learning
- Exploratory Data Analysis
- Data Exploration
- Missing Value handling
- Outliers Handling
- Feature Engineering
- Feature Selection
- Importance of Feature Selection in Machine Learning
- Filter Methods
- Wrapper Methods
- Embedded Methods
- 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…
- Machine Learning: Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Tree and Random Forest Regression
- 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
- Text Mining
- Basics
- Term Document Matrix
- TF-IDF
- Twitter Sentiment Analysis
- 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
- 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.
- Installation and setting up the environment
- Installation of Python
- Automation Setup for Selenium Web Driver
- Install and Configure PyDev in Eclipse
- Selenium-IDE
- Introduction
- IDE Features
- Building & Running Test Cases
- Building and Running Test Suites
- 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
- 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
- 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.
- Wait Commands in Selenium
- Implicit Wait
- Explicit Waits, Expected Conditions
Advanced Selenium
- 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
- PyTest Framework
- Introduction to PyTest framework
- Installing PyTest
- PyTest Fixtures
- Parametrized Test Functions
- Running multiple tests using PyTest
- Generating Test report
- 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
- POM Framework
- Advantages of POM
- How to implement
- Using Page Object and Page Factory
- Continuous Build Integration tools- Jenkins
- What is Jenkins and how to use it
- Installation and configuration of Jenkins
Front End Technologies
- 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
- CSS
- Introduction
- Syntax
- Id & Class
- Backgrounds
- Text and Fonts
- Links and Lists
- Box Model
- Advanced Topics
- Dimensions, Display
- Positioning, Floating
- Align
- JavaScript
- Introduction
- Statements & Comments
- Variables
- Operators and Comparisons
- Conditional Statements and Loops
- User Defined Functions
- JS Objects
- JS Validations
- 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
- Python MySQL Database Access
- Create Database Connection
- DML and DDL Operations with Databases
- Performing Transactions
- Handling Database Errors
- Disconnecting Database
- 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
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Who can apply for the course?
- Graduates who want to become Python Developer
- BE / BTech / MCA passed aspirants to make their career as Web Developers / Data Scientists
- IT-Professionals who want to get career as Programming Expert
- Professionals from non-IT bkg, and want to establish in IT.
- Candidate who would like to restart their career after a gap.
- Web Designers for next level of their career.
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Skills to Master
Web scraping
Django
Operators
Methods
Functions
Data Structures
Pandas
NumPy
Libraries
Matplotlib
Loops
Errors and exceptions
Tools to Master
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