Python for Engineers
Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.
English Book & Chapters
English Book Coming Soon
We are working hard to add this material. Stay tuned for updates!
Follow on Instagram for UpdatesGTU Previous Year Papers
Papers Coming Soon
We are working hard to add this material. Stay tuned for updates!
Follow on Instagram for UpdatesPython for Engineers Syllabus — Unit-wise Content
The official GTU curriculum for Python for Engineers (subject code BE04000131) as prescribed for EIE · Semester 4 divides the course into 5 units, covering 58 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (BE04000131)Unit 1 Introduction, Data Types and Operators
- Installation and working with Python
- Variables and data types in python
- perform computations and create logical statements using Python’s operators: Arithmetic
- Bitwise operators
- tuple and string operations
Unit 2 Python Decision making and Loops
- Write conditional statements using If statement
- if ...else statement
- elif statement and Boolean expressions
- While loop
- For loop
- Nested Loop
- Infinite loop
- Break statement
- continue statement
- Pass statement
- use for and while loops along with useful built-in functions to iterate over and manipulate lists
- sets, and dictionaries
- Plotting data
- Programs using decision making and loops
Unit 3 Python Functions and Modules
- Defining custom functions
- Organizing Python codes using functions
- Create and reference variables using the appropriate scope
- Basic skills for working with lists
- work with dates and times
- get started with dictionaries
- Importing own module as well as external modules
- Programming using functions
- modules and external packages
Unit 4 Python File Operations
- An introduction to file I/O
- use text files
- use CSV files
- use binary files
- Handle a single exception
- handle multiple exceptions
- Illustrative programs
Unit 5 Python Libraries
- Pandas: Introduction
- Data structure- series in pandas- creation of series from dictionary
- Accessing elements of series – Indexing & slicing
- Mathematical operations on two series- addition
- Dataframes- Creation of data frame- empty
- from NumPy
- from list of dictionaries
- from series
- from dictionary of series
- operations on rows & columns in dataframes
- NumPy: Creating NumPy arrays
- NumPy array indexing
- element wise operations like addition
- multiplication and division on NumPy arrays
- Unary operation
- binary operation
- NumPy ufuncs
- sorting arrays
- operation on matrix
- Matplotlib: Line plot
- Bar chart
- scatter plot
- plotting images and multiple subplots
Study on Android App:
