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Python Courses

Course Outline

Get Trained Under Experienced Trainer

Unlock the power of programming with our comprehensive Python course at SVM TECHNO LABS. Designed to equip you with the skills and knowledge needed to excel in Python development, our course offers hands-on training in the fundamentals and advanced concepts of Python programming..

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Python Introduction

Comprehensive Python Curriculum

Python Course Outline: Real-World Application of Python
Desired Outcome: Students will be able to develop a real-world Python application using fundamental concepts, data structures, and libraries.
Project Plan: Develop a recipe recommendation system that suggests recipes based on user input and preferences.

Module 1: Introduction to Python Basics

Lesson Plans: 1.1 Learning Objectives: Introduce Python basics such as data types, variables, operators, and control flow statements. 1.2 Real World Examples: Show how Python is used in real-world applications such as data analysis and machine learning.

1.3 Activities: Introduce the Jupyter notebook environment and have students create their first Python program to print "Hello, World!"

1.4 Step-by-Step Directions: Walk students through the installation process of Python and Jupyter notebook.

1.5 Discussion Questions: What are some examples of real-world applications of Python? What are some benefits of using Python for programming?

Module 2: Data Structures and Functions

Lesson Plans: 2.1 Learning Objectives: Introduce data structures such as lists, dictionaries, and tuples. Explain functions, scope, and recursion.

2.2 Real World Examples: Explain how data structures and functions are used in real-world applications such as web development and game design.

2.3 Activities: Have students create a function to calculate the average of a list of numbers. Introduce data cleaning and manipulation using pandas library.

2.4 Step-by-Step Directions: Walk students through the process of creating functions and manipulating data using pandas.

2.5 Discussion Questions: What are some examples of real-world applications of data structures and functions? How can data structures and functions be used in data analysis?

Module 3: Object-Oriented Programming

Lesson Plans: 3.1 Learning Objectives: Introduce the concept of object-oriented programming. Explain classes, objects, and inheritance.

3.2 Real World Examples: Show how object-oriented programming is used in real-world applications such as game development and simulation.

3.3 Activities: Have students create a class to represent a recipe and its properties. Implement methods to manipulate the recipe object.

3.4 Step-by-Step Directions: Walk students through the process of creating classes and objects in Python.

3.5 Discussion Questions: What are some examples of real-world applications of object-oriented programming? How can object-oriented programming be used in software development?

Module 4: Libraries and APIs

Lesson Plans: 4.1 Learning Objectives: Introduce popular Python libraries such as NumPy, Matplotlib, and Requests. Explain how to use APIs to access data from the web.

4.2 Real World Examples: Explain how libraries and APIs are used in real-world applications such as data analysis and web development.

4.3 Activities: Have students use the OpenFoodFacts API to access recipe data. Use NumPy and Matplotlib libraries to analyze and visualize the data.

4.4 Step-by-Step Directions: Walk students through the process of installing and using libraries in Python. Explain how to use APIs to access data.

4.5 Discussion Questions: What are some examples of real-world applications of libraries and APIs? How can libraries and APIs be used in data analysis and visualization?

Module 5: Web Development with Flask

Lesson Plans: 5.1 Learning Objectives: Introduce web development using the Flask framework. Explain how to create web applications using Python.

5.2 Real World Examples: Show how Flask is used in real-world applications such as web development and data visualization.

5.3 Activities: Have students create a Flask web application that displays the recipe recommendations. Use HTML and CSS to style the application.

5.4 Step-by-Step Directions: Walk students through the process of creating a Flask application, connecting to the database, and rendering dynamic web pages using templates.

5.5 Discussion Questions: What are some examples of real-world applications of Flask? How can Flask be used to create web applications using Python?

Module 6: Final Project

Lesson Plans: 6.1 Learning Objectives: Provide students with the opportunity to apply their knowledge and skills in developing a real-world Python application.

6.2 Real World Examples: Show how Python can be used to develop a recipe recommendation system for a food blog or website.

6.3 Activities: Have students develop a recipe recommendation system using the knowledge and skills they have gained from the previous modules. Include a database to store recipe data, algorithms to recommend recipes based on user preferences, and a web application to display the recommendations.

6.4 Step-by-Step Directions: Provide students with a project rubric outlining the requirements for the final project. Offer guidance and support as needed throughout the project development process.

6.5 Discussion Questions: What are some real-world applications of recipe recommendation systems? How can Python be used to develop similar systems for other industries or domains?

 

 

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Implementation Project

At SVM TECHNO LABS, we understand the importance of successful SAP implementation projects for businesses seeking to optimize their operations and maximize efficiency. Our experienced team of SAP consultants and project managers is equipped to guide you through every step of the implementation process, ensuring a seamless transition to SAP technology.

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Placement Assistance

At SVM TECHNO LABS, we are committed to not only providing top-notch training but also assisting our students in their career growth. Our placement assistance program is designed to support and guide you in securing exciting job opportunities in the SAP ecosystem.

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