Linkedin Learning
前往频道在 Telegram
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
显示更多📈 Telegram 频道 Linkedin Learning 的分析概览
频道 Linkedin Learning (@linkedin_learning) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 217 131 名订阅者,在 教育 类别中位列第 387,并在 印度 地区排名第 709 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 217 131 名订阅者。
根据 08 七月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 15,过去 24 小时变化为 18,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 6.39%。内容发布后 24 小时内通常能获得 1.85% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 13 867 次浏览,首日通常累积 4 005 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 16。
- 主题关注点: 内容集中在 author, linkedin, linux, javascript, 040k| 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
凭借高频更新(最新数据采集于 09 七月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。
217 131
订阅者
+1824 小时
+2627 天
+1530 天
帖子存档
217 193
🔰 Jump-Start Your LinkedIn Live Channel
🎟2021-07-20 • ⏱37m • 💡Beginner
🗣 Stephanie Liu
Did you know LinkedIn has a video platform? This short course walks you through all the basics of LinkedIn Live. Find out what you need in order to use LinkedIn Live and how to apply to use it. Learn how to use a third-party platform to broadcast within LinkedIn Live, and consider the basic do’s and don’ts associated with broadcast platforms. Explore how to connect and use Restream within LinkedIn Live, then pick up best practices on technical and video production, lighting, staging, and more.
📦 Topics: Web Broadcasting, LinkedIn, Live Video Streaming
LinkedIn Learning
217 193
⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿⦿
109k-🔥Free Hacked Android Apps
60k-🌟PC CRACKED SOFTWARE
52k-🖥Pc Softwares & Games
53k-🙈Teenz Hangouts
48k-💥Hacked Netflix Accounts
45k-😎Free Hacked Android Apps
➤➳═══════════════════⦿
29k-🟥Android Modded Apps
23k-😍Best wallpaper Channel
24k 🛑Hacking,EarnMoney,DarkWeb
24k-😈Premium Modded APPS
23k-🤩Best Hacking Channel
➤➳═══════════════════⦿
17k-⚡Netflix Hotstar Accounts
17k-🟥Free Netflix account daily
13k-🌟A2Z Premium Modz
14k-🤡 Carding Cracking Hacking
12k-😍Video Editing & Design
15k-💀Netflix Mod+Android Games
➤➳═══════════════════⦿
18k-🌍World Of Exclusive Application
14k-📊 100%Trading Signals
21k-🔰Premium Linkedin Courses
21k-🎭 Netflix and hotstar mods
25k-💟 Spirituality | Mind | Soul
➤➳═══════════════════⦿
122-📚Udemy Courses Certificate
29k-💡Phrasal Verbs and Idioms
29k-😍Netflix Mod Apk Free
31k-Ⓜ️Free Premium Courses
32k-📖Learn English here easily
41k-🌟Hacking and Android AppS
➤➳═══════════════════⦿
42k-🤪Hacked Android Games
50k-✨Free Hacked Apps
60k-💻Become a Hacker Today
69k-💆♂️Read People's Mind
60k-👺N€TFLIX | HÔTSTAR | PRIME
3hr On Top 🔝 || 8 ↕️ hr in Channel
🤩 ᴀᴅᴅ ʏᴏᴜʀ ᴄʜᴀɴɴᴇʟ 🤩
217 193
⚡️ 10 Ways to Speed Up Your Python Code ⚡️
1. List Comprehensions
numbers = [x**2 for x in range(100000) if x % 2 == 0]
instead of
= []
for x in range(100000):
if x % 2 == 0:
numbers.append(x**2)
2. Use the Built-In Functions
Many of Python’s built-in functions are written in C, which makes them much faster than a pure python solution.
3. Function Calls Are Expensive
Function calls are expensive in Python. While it is often good practice to separate code into functions, there are times where you should be cautious about calling functions from inside of a loop. It is better to iterate inside a function than to iterate and call a function each iteration.
4. Lazy Module Importing
If you want to use the time.sleep() function in your code, you don't necessarily need to import the entire time package. Instead, you can just do from time import sleep and avoid the overhead of loading basically everything.
5. Take Advantage of Numpy
Numpy is a highly optimized library built with C. It is almost always faster to offload complex math to Numpy rather than relying on the Python interpreter.
6. Try Multiprocessing
Multiprocessing can bring large performance increases to a Python script, but it can be difficult to implement properly compared to other methods mentioned in this post.
7. Be Careful with Bulky Libraries
One of the advantages Python has over other programming languages is the rich selection of third-party libraries available to developers. But, what we may not always consider is the size of the library we are using as a dependency, which could actually decrease the performance of your Python code.
8. Avoid Global Variables
Python is slightly faster at retrieving local variables than global ones. It is simply best to avoid global variables when possible.
9. Try Multiple Solutions
Being able to solve a problem in multiple ways is nice. But, there is often a solution that is faster than the rest and sometimes it comes down to just using a different method or data structure.
10. Think About Your Data Structures
Searching a dictionary or set is insanely fast, but lists take time proportional to the length of the list. However, sets and dictionaries do not maintain order. If you care about the order of your data, you can’t make use of dictionaries or sets.
🔗Source
━━━━━━━━━━━━━
Share nd support 🤟😉
@new_everything_free 😘217 193
📁 Full description
Ever feel like you're in a rut? Most people have experienced a rut, whether it manifests as a lack of ideas, follow-through, or enthusiasm. Sometimes it's just boredom that comes with routine. Stefan Mumaw designed this course to help you identify the type of rut you're in and its cause, and then break out of it with a series of short-, mid-, and long-term creative nudges. From techniques to get you thinking alternatively to life-changing educational opportunities, the course serves to bust every creative rut, with actionable ideas and encouragement designed to get you back on the path to success.
The course is designed to be something you can return to every time you feel stuck on a project or stalled in your career. Come back anytime you need help taking a creative leap forward.
217 193
🔰 Breaking Out of a Rut
🎟2014-05-07 • ⏱31m • 💡Beginner
🗣 Stefan Mumaw
Learn how to break out of rut. Discover rut-busting techniques that give you the nudge you need to start moving again.
📦 Topics: Career Management
LinkedIn Learning
217 193
📁 Full description
Excel, the popular spreadsheet program from Microsoft, is an essential tool for many professional roles. In this course, Jess Stratton shows you the ins and outs of the 2021 release. Jess begins with how to navigate Excel and how to create, open, and save a file. Next, she shows you how to enter, format, autofill, and edit text, as well as how to copy and delete cell data, merge cells, and more. Jess explains how to work with sheets, then dives into the myriad adjustments and customizations you can apply to rows and columns. Formulas are at the heart of Excel’s ability to perform text or number calculations, so Jess concludes by walking you through formulas and functions, including AutoSum and the very useful XLOOKUP.
217 193
🔰 Excel 2021 Essential Training (Office 2021/LTSC)
🎟2021-09-16 • ⏱1h 17m • 💡Beginner + Intermediate
🗣 Jess Stratton
Get up to speed with Excel 2021, the newest version of Microsoft's popular spreadsheet program.
📦 Topics: Microsoft Excel
LinkedIn Learning
217 193
📁 Full description
Get started with Camtasia 2020, a complete elearning and screencast creation suite that allows you to capture and edit video, create interactive experiences, and publish elearning assets. In this course, Chris Mattia takes you through the basics of creating compelling video content with this go-to tool. He steps through how to create software-based training and slides-based training, as well as edit video footage and audio. He also shows how to refine your projects with annotations and transitions and back up and share projects. Plus, get tips for more successful recordings, from using a teleprompter app to handling mistakes like a pro.This course was created by Chris Mattia. We are pleased to offer this training in our library.
217 193
🔰 Camtasia 2020 Essential Training: The Basics
🎟2020-06-29 • ⏱2h 46m • 💡Beginner
🗣 Chris Mattia
Learn how to create engaging video presentations and elearning content with this popular screen capture software.
📦 Topics: Camtasia, Screencasting, E-Learning
LinkedIn Learning
