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Advanced Python · Lesson 30 of 56

Generators

Source: 9-Advance Python Concepts/9.2-Generators.ipynb

Start here — no coding background needed

What you will learn

Create lazy sequences with `yield` — efficient loops.

In simple words

Generator produces values one by one instead of building a huge list in memory.

Power tools for later — iterators, generators, decorators. Skim if new; revisit anytime.

Easy example — try this first

Easy example — run this first. Change values and press Run again.

Python

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference notes (from full bootcamp)

Optional — deeper detail for when you are ready

Generators

Generators are a simpler way to create iterators. They use the yield keyword to produce a series of values lazily, which means they generate values on the fly and do not store them in memory.

Reference example
Python

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example
Python
Output
Expected (from notebook):
<generator object square at 0x00000222FFEFF2A0>

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example
Python
Output
Expected (from notebook):
0
1
4

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example
Python
Output
Expected (from notebook):
<generator object square at 0x00000222FFEFE8E0>

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example
Python

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example
Python

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example
Python
Output
Expected (from notebook):
<generator object my_generator at 0x00000222FFD95DD0>

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example
Python

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example
Python
Output
Expected (from notebook):
1
2
3

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Practical Example: Reading Large Files

Generators are particularly useful for reading large files because they allow you to process one line at a time without loading the entire file into memory.

Example HCL
HCL
### Practical : Reading LArge Files

def read_large_file(file_path):
    with open(file_path,'r') as file:
        for line in file:
            yield line

Browser practice only — full example needs Python on your computer (files, Flask, threads, etc.).

Reference example
Python
Output
Expected (from notebook):
Smt. Droupadi Murmu was sworn in as the 15th President of India on 25 July, 2022. Previously, she was the Governor of Jharkhand from 2015 to 2021. She has devoted her life to empowering the downtrodden and the marginalised sections and deepening the democratic values.

Early Life and Education

Born in a Santhali tribal family on 20 June, 1958 at Uparbeda village, Mayurbhanj, Odisha, Smt. Murmu’s early life was marked by hardships and struggle. On completion of primary education from the village school, she went to Bhubaneswar on her own initiative to continue her studies. She earned the degree of Bachelor of Arts from Ramadevi Women’s College, Bhubaneswar and became the first woman from her village to receive college education.

Professional Career

From 1979 to 1983, Smt. Murmu served as a Junior Assistant in the Irrigation and Power Department, Government of Odisha. Later, she served as an honorary teacher at Sri Aurobindo Integral Education Centre, Rairangpur, from 1994 to 1997.

Public Life

In 2000, Smt. Murmu was elected from the Rairangpur constituency as a Member of the Legislative Assembly of Odisha and continued to hold the post till 2009, serving two terms. During this period, she served as Minister of State (Independent Charge), Department of Commerce and Transport in the Government of Odisha from March 6, 2000 to August 6, 2002 and as Minister of State (Independent Charge), Department of Fisheries and Animal Resources Development, Government of Odisha from Augu

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Conclusion

Iterators and generators are powerful tools in Python for creating and handling sequences of data efficiently. Iterators provide a way to access elements sequentially, while generators allow you to generate items on the fly, making them particularly useful for handling large datasets and infinite sequences. Understanding these concepts will enable you to write more efficient and memory-conscious Python programs.

Practice test — try yourself

Write code, press Check. Wrong answer shows the correct code to copy & run.

You learned "Generators". Use print() to show: Done: Generators

Hint: Use one print() with the exact text.

Python