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School Of Engineering

NumPy, and Matplotlib are used for data manipulation and visualization. Simulation and Modeling: Python can be used to create simulations for engineering problems, using libraries such as SciPy and SimPy. Machine Learning: Libraries like TensorFlow, Keras, and Scikit-learn are popular for implementing machine learning algorithms. Automation and Scripting: Python is often used for automating repetitive tasks and writing scripts to improve workflow efficiency. Control Systems: Python can be used to model and simulate control systems, often in conjunction with libraries like Control Systems Library.

. Getting Started

  • Installing Python and an IDE (e.g., VS Code, PyCharm, Jupyter)

  • Hello, World!

  • Running scripts

2. Basic Syntax

  • Variables and Data Types

  • Strings and String Methods

  • Numbers and Math Operations

  • User Input

3. Control Flow

  • if, elif, else

  • Comparison and Logical Operators

4. Loops

  • for loops

  • while loops

  • Loop control (break, continue)

5. Functions

  • Defining and calling functions

  • Parameters and return values

  • Scope and docstrings

6. Data Structures

  • Lists

  • Tuples

  • Dictionaries

  • Sets

7. File Handling

  • Reading and writing text files

  • Working with CSV files

8. Error Handling

  • try, except

  • Custom error messages

9. Modules and Libraries

  • math, random, datetime

  • Installing external libraries using pip

10. Mini Projects

  • Calculator

  • To-Do List

  • Number Guessing Game

. Getting Started

  • Installing Python and an IDE (e.g., VS Code, PyCharm, Jupyter)

  • Hello, World!

  • Running scripts

2. Basic Syntax

  • Variables and Data Types

  • Strings and String Methods

  • Numbers and Math Operations

  • User Input

3. Control Flow

  • if, elif, else

  • Comparison and Logical Operators

4. Loops

  • for loops

  • while loops

  • Loop control (break, continue)

5. Functions

  • Defining and calling functions

  • Parameters and return values

  • Scope and docstrings

6. Data Structures

  • Lists

  • Tuples

  • Dictionaries

  • Sets

7. File Handling

  • Reading and writing text files

  • Working with CSV files

8. Error Handling

  • try, except

  • Custom error messages

9. Modules and Libraries

  • math, random, datetime

  • Installing external libraries using pip

10. Mini Projects

  • Calculator

  • To-Do List

  • Number Guessing Game

We are providing 100% Job Assistance and schedule the interviews

Python Full Stack Web Development

Python Full Stack Developer
@ Engineering
90 days
₹ 35000.00 (₹40000.00)

Testing Tools

Manual Testing
@ Engineering
40 days
₹ 12000.00 (₹15000.00)

Java Full Stack Development

Java Full Stack Developer
@ Engineering
60 Days
₹ 25000.00 (₹30000.00)

Web Technologies

Python Full Stack Developer
@ Engineering
60 Days
₹ 28000.00 (₹30000.00)
Fee: ₹ 30000.00 MRP: ₹ 35000.00

What’s included

  • Duration: 90 Days
  • Mode: Online / Offline
  • Study Material:
  • Realtime Projects:
  • Certification:
  • Online Exams:
  • Personal Skills:
  • Mock Interviews:
  • Internship:
  • Placements:

Courses Available in School Of Engineering

Python  Full Stack Web Development
Python Full Stack Developer
@ Engineering
90 days
₹ 35000.00 (₹40000.00)
Testing Tools
Manual Testing
@ Engineering
40 days
₹ 12000.00 (₹15000.00)
Java Full Stack Development
Java Full Stack Developer
@ Engineering
60 Days
₹ 25000.00 (₹30000.00)
Web Technologies
Python Full Stack Developer
@ Engineering
60 Days
₹ 28000.00 (₹30000.00)