8.4 sec in total
1 sec
6.2 sec
1.1 sec
Welcome to pythontraininginpune.com homepage info - get ready to check Python Traininginpune best content right away, or after learning these important things about pythontraininginpune.com
Python Training In Pune offers expert-led courses that cover the essentials of Python programming, web development, data analysis, and automation. Begin your journey today!
Visit pythontraininginpune.comWe analyzed Pythontraininginpune.com page load time and found that the first response time was 1 sec and then it took 7.3 sec to load all DOM resources and completely render a web page. This is a poor result, as 80% of websites can load faster.
pythontraininginpune.com performance score
name
value
score
weighting
Value4.0 s
22/100
10%
Value8.9 s
1/100
25%
Value10.3 s
8/100
10%
Value690 ms
43/100
30%
Value0.058
98/100
15%
Value8.1 s
41/100
10%
1042 ms
1517 ms
1021 ms
64 ms
772 ms
Our browser made a total of 36 requests to load all elements on the main page. We found that 75% of them (27 requests) were addressed to the original Pythontraininginpune.com, 14% (5 requests) were made to Google-analytics.com and 8% (3 requests) were made to Googletagmanager.com. The less responsive or slowest element that took the longest time to load (3.4 sec) belongs to the original domain Pythontraininginpune.com.
Page size can be reduced by 259.4 kB (36%)
714.3 kB
454.9 kB
In fact, the total size of Pythontraininginpune.com main page is 714.3 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 35% of websites need less resources to load. Images take 441.9 kB which makes up the majority of the site volume.
Potential reduce by 217.1 kB
HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 217.1 kB or 86% of the original size.
Potential reduce by 42.3 kB
Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Python Traininginpune images are well optimized though.
Potential reduce by 50 B
It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. This website has mostly compressed JavaScripts.
Number of requests can be reduced by 11 (37%)
30
19
The browser has sent 30 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Python Traininginpune. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 8 to 1 for JavaScripts and from 5 to 1 for CSS and as a result speed up the page load time.
pythontraininginpune.com
1042 ms
wpo-minify-header-1f7147a2.min.css
1517 ms
wpo-minify-header-f5440c18.min.js
1021 ms
js
64 ms
widget-nav-menu.min.css
772 ms
widget-icon-box.min.css
758 ms
widget-icon-list.min.css
775 ms
wpo-minify-footer-25b4151a.min.css
785 ms
wpo-minify-footer-75306f10.min.js
2302 ms
wpo-minify-footer-07bf197e.min.js
1839 ms
wpo-minify-footer-4097265b.min.js
1765 ms
css2
33 ms
gtm.js
170 ms
ptp.png
764 ms
pexels-hitesh-choudhary-879109.jpg
1498 ms
pexels-christina-morillo-1181263.jpg
1262 ms
ico002.png
843 ms
ico001.png
948 ms
ico003.png
1402 ms
ico004.png
1517 ms
cornhome017.png
1596 ms
a26c4b485716a585073da2af4328a8cd-1024x768.jpg
2187 ms
cornhome015.png
1270 ms
pexels-lukas-574069.jpg
2505 ms
cornhome06.png
2415 ms
ptp1.png
2252 ms
js
36 ms
analytics.js
31 ms
fa-solid-900.woff
2922 ms
fa-regular-400.woff
2521 ms
fa-brands-400.woff
3352 ms
collect
22 ms
collect
3 ms
collect
6 ms
collect
7 ms
picturefill.min.js
2359 ms
pythontraininginpune.com accessibility score
Contrast
These are opportunities to improve the legibility of your content.
Impact
Issue
Background and foreground colors do not have a sufficient contrast ratio.
Navigation
These are opportunities to improve keyboard navigation in your application.
Impact
Issue
Heading elements are not in a sequentially-descending order
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
Links do not have a discernible name
pythontraininginpune.com best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
pythontraininginpune.com SEO score
Content Best Practices
Format your HTML in a way that enables crawlers to better understand your app’s content.
Impact
Issue
Links do not have descriptive text
Crawling and Indexing
To appear in search results, crawlers need access to your app.
Impact
Issue
Links are not crawlable
Mobile Friendly
Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).
Impact
Issue
Document uses legible font sizes
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Pythontraininginpune.com can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Pythontraininginpune.com main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.
pythontraininginpune.com
Open Graph data is detected on the main page of Python Traininginpune. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: