Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India6 521 Technologies & Applications2 374...

📈 Analytical overview of Telegram channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) in the English language segment is an active participant. Currently, the community unites 56 116 subscribers, ranking 2 374 in the Technologies & Applications category and 6 521 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 56 116 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 90 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.81%. Within the first 24 hours after publication, content typically collects 0.87% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 578 views. Within the first day, a publication typically gains 489 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
Thematic interests: Content is focused on key topics such as algorithm, structure, stack, javascript, programming.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data”

Thanks to the high frequency of updates (latest data received on 12 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.

56 116

Subscribers

+624 hours

+327 days

+9030 days

1 578

Post views

~ 48924 hours

~ 69648 hours

2.81%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

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🔰 Node JS: Beginners Guide

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⌨️ Calculate derivatives in Python

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Important Programming Languages 👆

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Python String Methods Part-2

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Python String Methods Part-1

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A gentle reminder for software engineers (you'll thank me later): • Learn SQL before ORM. • Learn Git before Jenkins. • Learn SQL before NoSQL. • Learn CSS before Tailwind. • Learn Linux before Docker. • Learn Solidity before dApps. • Learn English before Python. • Learn REST before GraphQL. • Learn JavaScript before React. • Learn HTML before JavaScript. • Learn React before Microfrontends. • Learn Containers before Kubernetes. • Learn Monolith before Microservices.

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Repost from Trump's Ear

🇫🇷Macron said that France has the most effective army in Europe. #Macron #Europe #France 👂 More on Trump's Ear ⚠️

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Pandas Operations for working with data

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100 Days of Data Science Roadmap

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Machine Learning Glossary | Google Developers Compilation of key machine-learning and TensorFlow terms, with beginner-friendly definitions. 🤓 https://developers.google.com/machine-learning/glossary/

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Docker commands

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Python Patterns 👆

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Roadmap to learn Network Engineering Here's a comprehensive guide to mastering the essential skills and knowledge areas: 1. Networking Fundamentals: OSI model, TCP/IP model, and networking devices (routers, switches, hubs, bridges). 2. Network Protocols: Core protocols (TCP, UDP, IP), application layer protocols (HTTP, HTTPS, FTP, DNS, DHCP), and additional protocols (SNMP, ICMP, ARP). 3. Routing and Switching: Routing protocols (OSPF, EIGRP, BGP), switching concepts (VLANs, STP, trunking), and routing techniques. 4. Network Design and Architecture: Network topologies (star, mesh, bus, ring), design principles (redundancy, scalability, reliability), and network types (LAN, WAN, MAN, WLAN, VLAN). 5. Network Security: Firewalls, VPNs, ACLs, security protocols (SSL/TLS, IPSec), and best practices. 6. Wireless Networking: Wireless standards (IEEE 802.11a/b/g/n/ac/ax), wireless security (WPA2, WPA3), and network design. 7. Cloud Networking: Cloud services (VPC, Direct Connect, VPN), hybrid cloud Networking, and cloud providers (AWS, Azure, Google Cloud). 8. Network Automation and Scripting: Network programmability, automation techniques, and scripting (Python, Bash, PowerShell). 9. Monitoring and Troubleshooting: Network monitoring, troubleshooting techniques (ping, traceroute, network diagrams), and performance monitoring (NetFlow, SNMP). 10. Virtualization and Container Networking: Virtual network functions (NFV), software-defined networking (SDN), and container networking (Docker, Kubernetes). 11. Certifications: Entry-level (CompTIA Network+, Cisco CCNA), professional-level (Cisco CCNP, Juniper JNCIP), advanced-level (Cisco CCIE, VMware VCP-NV).