Available now! Telegram Research 2025 โ the year's key insights 
Code with Brij
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๐ Analytical overview of Telegram channel Code with Brij
Channel Code with Brij (@codewithbrij) in the English language segment is an active participant. Currently, the community unites 14 010 subscribers, ranking 9 187 in the Technologies & Applications category and 2 750 in the Malaysia region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 14 010 subscribers.
According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -163 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 10.80%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
๐ Description and content policy
Channel description not provided.
Thanks to the high frequency of updates (latest data received on 25 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.
14 010
Subscribers
-324 hours
-287 days
-16330 days
Posts Archive
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68 Python notebook exercises for "Understanding Deep Learning : https://udlbook.github.io/udlbook/
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As we celebrate the luminous festival of Diwali, I am reminded of the countless lights that each of you have kindled through your dedication to learning and growth. It's not just the candles that illuminate our homes, but the spark of knowledge and ambition that brightens our paths.
In the spirit of Diwali, I want to express my deepest gratitude for your trust and engagement. Our community is not just about sharing educational content; it's about lighting up dreams and igniting passions. It's about creating a brighter future, one enlightened mind at a time.
As you celebrate this auspicious festival, take a moment to reflect on your journey so far and the paths yet to be explored. May this Diwali bring you joy, prosperity, and the courage to chase your dreams. May the light of knowledge continue to guide you in your career and beyond.
Happy Diwali to you all, and here's to continuing our journey of learning and growing together. ๐ชโจ
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I have tried explaining AI in srimple terms. Your feedback will be appreciated:-) https://www.linkedin.com/posts/brijpandeyji_artificialintelligence-machinelearning-deeplearning-activity-7128934894935629824-sgj5?
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๐๐ฟ๐ฒ๐ฒ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐๐ผ ๐น๐ฒ๐ฎ๐ฟ๐ป ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ฃ๐๐๐ต๐ผ๐ป ๐๐ถ๐๐ต ๐๐น๐ฎ๐๐ธ & ๐๐ฎ๐๐๐๐ฃ๐ : https://www.linkedin.com/posts/brijpandeyji_%3F%3F%3F%3F%3F%3F%3F%3F%3F%3F%3F%3F%3F-%3F%3F-%3F%3F%3F%3F%3F-activity-7128401418197049344-lcWO
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One of the most effective ways to learn machine learning is by getting hands-on experience and building something yourself.
While finding inspiration can be challenging, exploring projects by others can open your eyes to the endless possibilities. ๐ก
The projects I am sharing are perfect for those new to machine learning and curious about its potential.
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I have also posted onlinkedin about OAuth2.0 today. Your feedback is appreciated - https://www.linkedin.com/posts/brijpandeyji_%3F%3F%3F%3F%3F-%3F%3F-%3F%3F%3F%3F-%3F%3F-%3F%3F-%3F%3F-activity-7126898074794254336-Zt7M?
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In the IT world, knowing the ropes of Authentication and Authorization is indispensable, regardless of your focus. To aid in your mastery, I've curated a selection of top-notch, free resources. Sharpen your skills with these treasures:
๐ Online Courses:
- "Authentication - Methods, Protocols, and Strategies" by Frontegg: https://frontegg.com/blog/authentication-types
- "Secure User Authentication Methods โ 2FA, Biometric, and Passwordless Login Explained" by InfosecHQ: https://www.infosecinstitute.com/log-in/
- "Microsoft Entra ID - Authentication" by Microsoft Learn: https://learn.microsoft.com/en-us/entra/verified-id/decentralized-identifier-overview
๐ Articles:
- "Authentication: What It Is and Why It's Important" by OWASP: https://cheatsheetseries.owasp.org/cheatsheets/Authentication_Cheat_Sheet.html
- "A Beginner's Guide to Authentication and Authorization" by Auth0: https://auth0.com/docs/get-started/identity-fundamentals/authentication-and-authorization
- "Passwordless Login: What It Is and How It Works" by Okta: https://www.okta.com/resources/whitepaper-how-to-go-passwordless-with-okta/
๐ฅ Videos:
- "Authentication Explained" by Google Cloud Platform: https://m.youtube.com/watch?v=PAOb2hl__08
- "Multi-Factor Authentication: What It Is and Why You Need It" by Cloudflare: (https://m.youtube.com/watch?v=42iNs-v6gTw
- "Passwordless Login: The Future of Authentication?" by Auth0: https://auth0.com/resources/videos/passwordless-explainer-video
---
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Few resources that can elevate your understanding of AI and LLM -
1. Machine Learning Crash Course: A practical introduction to ML fundamentals, featuring interactive exercises and real-world case studies.
๐ https://developers.google.com/machine-learning/crash-course
2. TensorFlow APIs: Whether you're a beginner or an expert, these tutorials will help you master TensorFlow's suite to build and deploy ML models.
๐ https://www.tensorflow.org/tutorials
3. ML Practitioner Guides: For the seasoned professionals, these guides offer deep dives into solving complex ML problems effectively.
๐ https://developers.google.com/machine-learning/guides
4. AI Explanations: Understand the workings behind AI decisions with resources focused on interpretability.
๐ https://cloud.google.com/ai-explanations
Leverage these resources to enhance your expertise and innovate in your field. ๐
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Hey folks! ๐ I just found this cool, free Data Engineering Bootcamp and thought it could be a big help to many of us here. It's got some awesome topics covered. Check it out at https://dezoomcamp.streamlit.app/. I think youโll find it really useful. Happy learning! ๐
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Here is a sneek-peek on what we are going to learn - https://www.linkedin.com/posts/brijpandeyji_ever-thought-of-building-your-own-full-stack-activity-7122938356660858883-pKpG?utm_source=share&utm_medium=member_desktop
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There is another Hands-on Free session on building AI app using React. Anyone can join and learn this art at no cost.Join me ๐โโ๏ธ in this FREE hands-on session, where we'll learn the magic of building an AI app with React! ๐โจ
๐
Mark your calendar! ๐ง๐ต๐๐ฟ๐๐ฑ๐ฎ๐, ๐ข๐ฐ๐๐ผ๐ฏ๐ฒ๐ฟ ๐ฎ๐ฒ๐๐ต ๐ญ๐ฌ:๐ฌ๐ฌ๐ฎ๐บ ๐ฃ๐๐ง
โฐ Set that alarm!
๐ ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐ป๐ผ๐ ๐๐ผ ๐๐ฒ๐ฐ๐๐ฟ๐ฒ ๐๐ผ๐๐ฟ ๐๐ฅ๐๐ ๐๐ฝ๐ผ๐ โก๏ธ https://brij.guru/ai
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Over the months,I've noticed how many of you have been tirelessly searching for the content and tutorials that I poured my heart into. I want every single one of you to have unrestricted access to these resources at a single place to learn and grow. With that in mind, I've decided to open source all my materials, making them freely available for the benefit of all.
However, I need a little help in doing so. I'm on the lookout for a kind soul who can assist me in creating a beautiful and user-friendly GitHub page to showcase this work. This is more than just a repository; it's a testament to our shared journey of growth and learning.
If you can help, or know someone who can, please reach out. The person should know how to host pages on Github. Let's make this knowledge easily accessible for everyone, present and future.
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100% Free
Let's learn how to build high performance LLM Apps using inventory, product, and review data in a hands-on interactive session.
Join me in this upcoming webinar for a hands-on, interactive session on how to build high-performance LLM apps using inventory, product, and review data.
๐๏ธ Don't miss out! This ๐ง๐๐ฒ๐๐ฑ๐ฎ๐, ๐ข๐ฐ๐๐ผ๐ฏ๐ฒ๐ฟ ๐ฎ๐ฐ๐๐ต, at ๐ญ๐ฌ:๐ฌ๐ฌ ๐ฎ๐บ ๐ฃ๐๐ง
๐ ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐ต๐ฒ๐ฟ๐ฒ: https://brij.guru/ai
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Data types are foundational in computing, and it's essential to understand them to work effectively in any programming environment.
Let's take a dive into the top ten commonly used data types:
1. Integer (int):
- Represents whole numbers.
- Examples: -2, -1, 0, 1, 2, 3
2. Floating Point (float/double):
- Represents numbers with decimals.
- Examples: -2.5, 0.0, 3.14
3. Character (char):
- Represents single characters.
- Examples: 'A', 'b', '1', '%'
4. String:
- Represents sequences of characters, basically text.
- Examples: "Hello", "ChatGPT", "1234"
5. Boolean (bool):
- Represents true or false values.
- Examples: True, False
6. Array:
- Represents a collection of elements, often of the same type.
- Examples: [1, 2, 3], ["apple", "banana", "cherry"]
7. Object:
- Used in object-oriented programming, represents a combination of data and methods to manipulate the data.
- Examples: A
Car object might have data like color and speed and methods like drive() and park().
8. Date & Time:
- Represents date and time values.
- Examples: 23-10-2023, 12:30:45
9. Byte & Binary:
- Represents raw binary data.
- Examples: 01010101 (Byte), 101000111011 (Binary)
10. Enum:
- Represents a set of named constants.
- Examples: Days of the week (Monday, Tuesday...), Colors (Red, Blue, Green)14 010
Essential API Tools for 2023
APIs are now the backbone of most digital projects. ๐ To make sure you're all geared up for 2023, I've laid down a bunch of top tools by category. Dive in! ๐โโ๏ธ
๐ ๐๐ฒ๐๐ถ๐ด๐ป & ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐:
- Swagger (OpenAPI) for spec ๐
- RAML, PAML & API Blueprint for languages ๐๏ธ
- Postman for that nifty design & testing ๐ ๏ธ
- Mockoon for mock servers ๐จโ๐ป
๐ผ ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ & ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐:
- API {REST} & FakeRest for deployment ๐
- Big names like Apigee, MuleSoft Anypoint, IBM API Connect & more for management ๐ข
๐งช ๐ง๐ฒ๐๐๐ถ๐ป๐ด:
- APACHE JMeterโข & JMeter for load testing โ๏ธ
- SoapUI for functional tests ๐งซ
- Rest-Assured & more for mock & test ๐ง
๐ ๐๐ผ๐ฑ๐ฒ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Swagger & RAML Codegen to help churn out that code ๐ป
๐ ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐:
- From general tools like Postman to niche ones like OWASP ZAP & API Fortress ๐ก๏ธ
- Autho, Okta & Keycloak got your back for auth ๐ช
๐ ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด:
- Monitoring gods like New Relic, Datadog, & AppDynamics ๐ฅ๏ธ
๐ก ๐ฃ๐ฟ๐ผ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป:
- Cloudflare, AWS WAF & Azure Firewall for that sturdy protection ๐ซ
