ProgrammingKnowledge YouTube網紅頻道詳情與完整數據分析報告

ProgrammingKnowledge YouTube網紅頻道詳情數據與分析報告 (數據更新時間 2019-12-12)
ProgrammingKnowledge
YouTube頻道創建時間: 2012-03-25地區: 德國  語言: 英語 
107萬 
總觀看量
1.56億  0.1%
平均觀看量
1770  3.6%
影片總數
1685 
頻道標籤
粉絲全球排名
14,685th  (前 1%)
粉絲國家/地區排名
227th  (前 1%)
Nox評級
  2.36 
發布影片數
47  (最近一個月)
單月YouTube廣告聯盟收入
14.52萬元-36.3萬元
預計潛在品牌合作收益
1748元  (每部影片)
ProgrammingKnowledge 粉絲數每日對比 
7日
30日
觀看量
粉絲數
近7天粉絲數增長量: 上個7天粉絲數增長量:
ProgrammingKnowledge 粉絲歷史數據總覽 (最近1年)
每日數據
累積數據
提示:YouTube僅顯示三位數的訂閱者,因此曲線有一些更改
ProgrammingKnowledge 觀看量歷史數據總覽 (最近1年)
每日數據
累積數據
ProgrammingKnowledge 未來數據預估 (未来1年)
預估的受眾粉絲年齡和性別分佈 
預估的受眾粉絲的地理位置分佈 
最近發布的30個視頻互動率平均表現
  • 觀看量/粉絲數
    0.14%
  • 點讚數/觀看量
    3.20%
  • 評論數/觀看量
    0.21%
  • 點踩數/觀看量
    0.10%
最近發佈的30个影片觀看量分佈
平均觀看量1515
最熱門影片 - 來源於 ProgrammingKnowledge YouTube網紅頻道
2.75萬 觀看量· 2019-04-24 影片發佈時間· 742 點讚數· 35 評論數

Python is one of top 5 programming languages today. If you want to pursue a career, this language is a must for you.This course has been created for beginners. ✔ Contents ✔ 💻 (0:01:00) 0 - Course Introduction 💻 (0:02:29) 1 - Introduction to Python (For Absolute Beginners) 💻 (0:10:41) 2 - How to Install Python 3 on Windows 10 💻 (0:16:19) 3 - Basic Math, Mathematical Operators and Python Expressions 💻 (0:28:40) 4 - Python Variables and Types 💻 (0:40:37) 5 - Python print() and input() Function 💻 (0:53:05) 6 - Python Built-in Functions and Built-in Module 💻 (1:00:10) 7 - Creating and Executing your First Python Script (Run .py file) 💻 (1:12:36) 8 - Install PyCharm ( Python IDE ) on Windows 10 + First Project 💻 (1:20:36) 9 - Python Strings and Comments 💻 (1:35:14) 10 - Boolean, Comparison Operators and Logical Operators in Python 💻 (1:46:08) 11 - Python IF ELSE Statements 💻 (1:54:53) 12 - Python IF...ELIF...ELSE Statements + nested IF statements 💻 (2:03:41) 13 - Python Lists 💻 (2:13:37) 14 - Python Tuples 💻 (2:20:22) 15 - Python Sets 💻 (2:33:54) 16 - Python Dictionary 💻 (2:42:59) 17 - Python Slice and Negative index 💻 (2:53:44) 18 - Python while Loop 💻 (3:03:50) 19 - Python for Loop 💻 (3:11:43) 20 - Python break, continue statement 💻 (3:18:28) 21 - Python Functions 💻 (3:30:47) 22 - Default Arguments, *args and **kwargs (Variable-length Arguments) 💻 (3:38:27) 23 - Introduction to Object-Oriented Programming (OOP) 💻 (3:48:24) 24 - Classes and Objects in Python (OOP) 💻 (3:58:23) 25 - Python __init__ and self in class 💻 (4:10:18) 26 - Is it possible to define multiple constructors in Python? 💻 (4:18:14) 27 - Python Encapsulation 💻 (4:29:39) 28 - Private methods in Python 💻 (4:35:48) 29 - Python Inheritance 💻 (4:50:47) 30 - How To Create Modules in Python 3 💻 (5:03:10) 31 - Python Multiple Inheritance 💻 (5:08:38) 32 - Python super() 💻 (5:16:15) 33 - Python Composition 💻 (5:21:51) 34 - Python Aggregation + Difference in Aggregation and Composition 💻 (5:28:54) 35 - Python Abstract Classes 💻 (5:37:16) 36 - Python Exception handling + Python Try Except 💻 (5:52:06) 37 - Try Except Else Finally (Python Exception handling) 💻 (5:57:47) 38 - Raising Exceptions In Python 💻 (6:03:50) 39 - Raising Custom Exceptions (Writing and Using Custom Exceptions) 💻 (6:08:30) 40 - Idea behind : if __name__ == "__main__" 💻 (6:15:38) 41 - Create a Text File and Write in It Using Python 💻 (6:28:50) 42 - Reading Files in Python 💻 (6:40:13) 43 - Working With JSON Data in Python 💻 (6:52:00) 44 - Python Iterators 💻 (7:06:19) 45 - Python Generators 💻 (7:22:13) 46 - Command Line Arguments in Python with argparse 💻 (7:40:24) 47 - Lambda, filter, reduce and map 💻 (7:58:54) 48 - Python Closures + nested functions 💻 (8:12:37) 49 - Python Decorators 💻 (8:32:25) 50 - Python Operator Overloading 💻 (8:49:06) 51 - An Introduction to Python Debugger (pdb) 💻 (9:10:00) 52 - How to use PyCharm to debug Python code 💻 (9:18:16) 53 - How to use Pip and PyPI for managing Python packages 💻 (9:25:55) 54 - How to Install Pip packages using PyCharm 💻 (9:30:51) 55 - Global, Local and Nonlocal variables in Python Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems. Throughout the course we will be understanding how to identify and formulate the problems, what is the key to a great app, we will learn how to efficiently adopt the problem for the computer and the most important that you will be writing a lot of code! The course is structured in a way that lectures are like labs where we study the material, do the quizzes, write programs and test them! The most important that you will be involved into work a lot in order to get the best experience! Learn Python at easy to understand steps.

最新影片 - 來源於 ProgrammingKnowledge YouTube網紅頻道
NoxInfluencer團隊

歡迎訪問NoxInfluencer。商務合作、產品案例、或者有任何建議,可以在這裡留言,我們會儘快給您回覆。

通過facebook提問
(推薦)