Programming Foundation

Python Professional

  • Live Instructor-Led Course
  • Internship with Live Projects
  • Industry-Relevant Curriculum
  • Online and Offline Training Available
  • Placement Support Until You Get Placed

Advance your programming skills with the best Python certification course from IPSR, the leading Python training institute in Kerala. Offering both online and offline classes at our locations in Kochi, Kottayam, and Calicut,Kerala. Our course features live instructor-led sessions, an industry-relevant curriculum, and hands-on experience through internships with live projects. IPSR ensures comprehensive training with placement support until you get placed.

  • Beginner
  • Last updated 24 June, 2024
  • English
Course Description

This course is designed to provide a comprehensive introduction to Python programming. It covers the basics of Python syntax, data structures, functions, and modules, and progresses to more advanced topics such as object-oriented programming, file handling, and web development. By the end of the course, students will have the skills to write clean, efficient Python code and build simple Python applications.

What you’ll learn
  • Understand the basics of Python programming
  • Learn how to use Python's built-in data structures
  • Write and use functions and modules
  • Understand the principles of object-oriented programming in Python
  • Read from and write to files
Overview of Python and its applications
Setting up the Python environment
Basic syntax, variables, and data types
Operators in python, reading input, comments and keywords
Conditional statements (if, elif, else)
Looping constructs (for, while)
Break,continue and else with loop statements
Introduction to lists and tuples
List and tuple operations
List comprehensions
Introduction to dictionaries and sets
Dictionary and set operations
Iterating over dictionaries and sets
Dictionary comprehensions
String and it's functions and operations
Shallow and deep copy operations
Defining and calling functions
Function arguments and return values
Importing and using modules
Reading from and writing to files
Working with CSV files
Handling file exceptions
Introduction to error handling
Try, except, finally blocks
Raising exceptions
Introduction to OOP concepts
Classes and objects
Methods and attributes
Inheritance and polymorphism
Introduction to standard and third-party libraries
Using pip to install libraries
Overview of popular libraries (NumPy, Pandas, Requests)
Introduction to Regular expression and it's patterns.
Regular expression functions and examples.
Lambda functions and it's examples
Lambda functions with filter,reduce and map functions.
Generators and generator comprehension in python with examples
Introduction to databases and SQL
Connecting to a database from Python
Performing CRUD operations
Aggregate functions
Performing Join operations
Subqueries and stored procedures
Database connection using python
Tkinter introduction
Tkinter widgets
Tkinter events and binds ,Event handling
Tkinter Example Program
Web application workflow
HTML structure, tags, images and hyperlink
HTML list, tables, forms and form controls
CSS syntax, selectors, types of stylesheets
Multiple style sheets and cascading order
Introduction to javascript, external javascript and document object model
Functions and javascript popup boxes
Accessing field value by document object and example
Javascript form validations
Django introduction
Django project and app
Django urls and views
Django Templates
Django - CSS integration
Django Templates
Django - Login and registration
Django - Ajax and Jquery
Django - Forms
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Sijo Thomas

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Sumitha T

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Frequently Asked Questions

No prior programming experience is required for Python training. Basic computer literacy and familiarity with using a computer are the only prerequisites.

By the end of this course, you will be able to write Python scripts to automate tasks, process data, and build simple applications. You'll have a strong understanding of Python programming concepts and be prepared to tackle more advanced Python projects.

Throughout the Python training, you'll work on practical assignments and a final capstone project that simulates real-world scenarios. You can also choose to work on a personal project or a business idea, applying the concepts learned in the course to build functional Python applications. Additionally, the skills acquired in this course will be valuable in many professional domains, including web development, data analysis, and automation.

IPSR's Python programming training emphasizes practical application of Python concepts through hands-on projects. We provide in-depth coverage of Python's core libraries and modules, aligning our curriculum with industry best practices. Our training focuses on developing strong foundational knowledge and problem-solving skills. We offer continuous learning support and mentorship to help students excel in Python programming. Our expert faculty with industry experience ensures that learners gain real-world insights and are job-ready.

Yes, access to expert mentors with industry experience are available for personalized guidance and support.
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Course Schedule

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