Learn Python Coding
Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho
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Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 39 139 subscribers, ranking 3 511 in the Technologies & Applications category and 10 584 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 139 subscribers.
According to the latest data from 06 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 433 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.57%. Within the first 24 hours after publication, content typically collects 1.00% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 004 views. Within the first day, a publication typically gains 393 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Thanks to the high frequency of updates (latest data received on 08 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
python-barcode library.
First, install the library itself and the dependency for image generation:
pip install python-barcode pillow
The Pillow library is used to save in PNG format via ImageWriter.
Import the main module and writer for working with images:
import barcode
from barcode.writer import ImageWriter
Let's create an EAN-13 barcode. Important: exactly 12 digits are passed, and the check digit is automatically calculated and added.
ean = barcode.get(
"ean13",
"590123412345",
writer=ImageWriter()
)
Save it to disk:
filename = ean.save("product_barcode")
print(filename)
As a result, the product_barcode.png file will be created in the current directory.
Generating several barcodes: a common scenario is generating a series of barcodes, for example for a list of products or database records:
codes = [
"123456789012",
"987654321098",
"111222333444"
]
for value in codes:
code_obj = barcode.get(
"ean13",
value,
writer=ImageWriter()
)
code_obj.save(f"barcode_{value}")
Here, it's also important to comply with the format requirement: 12 digits for EAN-13, otherwise the library will throw an exception.
If you need to encode arbitrary strings (order numbers, documents), it's more convenient to use Code128:
code128 = barcode.get(
"code128",
"ORDER-2025-001",
writer=ImageWriter()
)
code128.save("order_barcode")
This format is not limited to numbers and is widely used in logistics and document management.
In practice, generation is often outsourced to a function - for reuse in services or APIs:
def generate_barcode(value, filename):
code = barcode.get(
"code128",
value,
writer=ImageWriter()
)
return code.save(filename)
generate_barcode("INVOICE-4587", "invoice_4587")
🔥 This approach is convenient to scale and supplement with logic (validation, writer settings, saving paths in the database, etc.).
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