🔴 To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: www.wscubetech.com/landing-pages/online-data-analytics-course.html?TH-cam&DEC2023_31&Comment 👉 Check Out the Course Module: drive.google.com/file/d/1Pqmv8Ly-b13aveUPMw_ah1jRUkwQ3S2t/view?usp=sharing
00:17 NumPy is a Python library for mathematical and scientific computation. 02:32 Understanding Python NumPy 06:41 Introduction to installing and importing NumPy library 08:37 Demonstrating mathematical operations and comparison between arrays and lists 12:48 Installing Jupyter Notebook on local disk C 14:46 Installing Jupyter Notebook and creating files 19:03 Installing and using Jupyter Notebook for Python development 20:54 Installing NumPy and importing measurements 24:17 Understanding slicing in NumPy arrays 26:04 Slicing in Python NumPy arrays and lists 29:20 Understanding NumPy arrays and shapes 31:18 Understanding NumPy array attributes and functions 35:08 Understanding the concepts of array lengths, size, and data types in NumPy. 37:13 Converting data types using NumPy 41:33 NumPy operations on arrays 43:51 Covered different NumPy functions and operations 48:25 Understanding array concatenation in NumPy 50:30 Understanding horizontal and vertical stack and split in NumPy 54:49 Adding and removing elements in arrays using NumPy 56:48 Explaining the numpy append and insert methods. 1:00:41 Explaining row and column access in indexing 1:02:26 Using the sort method to arrange elements in an array 1:06:14 Numpy search and sorting operations 1:07:59 Creating and filtering arrays in Python NumPy. 1:11:55 Explaining NumPy functions with examples 1:14:05 Using NumPy to analyze one-dimensional data 1:18:08 Calculating total price by multiplying price and quantity. 1:20:02 NumPy aggregate functions can be used for various statistical operations 1:24:04 Understanding median and its calculation 1:26:28 Understanding central value and statistics in NumPy 1:30:16 Calculating standard deviation and correlation coefficient for data analysis 1:32:29 Understanding data relationships through comparison
"Wow! This NumPy tutorial by WsCube Tech is an absolute gem! 🌟 As someone who's been learning Python and just started delving into the world of data manipulation, this video has been incredibly helpful. The way the concepts are explained, step-by-step, makes it so easy to follow along and grasp the intricacies of NumPy. The instructor's clarity and enthusiasm in presenting the material truly make this tutorial stand out. I appreciate how they break down complex concepts into manageable parts, making it accessible for beginners like me while also providing depth for more advanced learners. The examples used to illustrate NumPy functionalities are spot on, and the pace of the tutorial is just right, allowing for a thorough understanding without feeling overwhelmed. Thank you, WsCube Tech, for creating such valuable content! Looking forward to diving deeper into NumPy and exploring more of your tutorials. Keep up the fantastic work! 👍🚀"
Mam, I Can't access from desktop folder I'm getting error jupyter' is not recognized as an internal or external command, operable program or batch file. is there any solution? But, I can open from script file
please mam share the code file ipynb file, if you want help us better. we have very limited time to study all the topics. if you could share it will good to everyone and your viewers may increase much more.
dear mam, please try first then make tutorial of code. a lot of mistakes. i know these are very common/normal mistakes but please understand we are giving our productive hours and this type of mistake distract mind. thanks
🔴 To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: www.wscubetech.com/landing-pages/online-data-analytics-course.html?TH-cam&DEC2023_31&Comment
👉 Check Out the Course Module: drive.google.com/file/d/1Pqmv8Ly-b13aveUPMw_ah1jRUkwQ3S2t/view?usp=sharing
00:17 NumPy is a Python library for mathematical and scientific computation.
02:32 Understanding Python NumPy
06:41 Introduction to installing and importing NumPy library
08:37 Demonstrating mathematical operations and comparison between arrays and lists
12:48 Installing Jupyter Notebook on local disk C
14:46 Installing Jupyter Notebook and creating files
19:03 Installing and using Jupyter Notebook for Python development
20:54 Installing NumPy and importing measurements
24:17 Understanding slicing in NumPy arrays
26:04 Slicing in Python NumPy arrays and lists
29:20 Understanding NumPy arrays and shapes
31:18 Understanding NumPy array attributes and functions
35:08 Understanding the concepts of array lengths, size, and data types in NumPy.
37:13 Converting data types using NumPy
41:33 NumPy operations on arrays
43:51 Covered different NumPy functions and operations
48:25 Understanding array concatenation in NumPy
50:30 Understanding horizontal and vertical stack and split in NumPy
54:49 Adding and removing elements in arrays using NumPy
56:48 Explaining the numpy append and insert methods.
1:00:41 Explaining row and column access in indexing
1:02:26 Using the sort method to arrange elements in an array
1:06:14 Numpy search and sorting operations
1:07:59 Creating and filtering arrays in Python NumPy.
1:11:55 Explaining NumPy functions with examples
1:14:05 Using NumPy to analyze one-dimensional data
1:18:08 Calculating total price by multiplying price and quantity.
1:20:02 NumPy aggregate functions can be used for various statistical operations
1:24:04 Understanding median and its calculation
1:26:28 Understanding central value and statistics in NumPy
1:30:16 Calculating standard deviation and correlation coefficient for data analysis
1:32:29 Understanding data relationships through comparison
I have watched many video related to numpy , but I found the video is best .... Thank u
All videos are nicely structured and explained
"Wow! This NumPy tutorial by WsCube Tech is an absolute gem! 🌟 As someone who's been learning Python and just started delving into the world of data manipulation, this video has been incredibly helpful. The way the concepts are explained, step-by-step, makes it so easy to follow along and grasp the intricacies of NumPy.
The instructor's clarity and enthusiasm in presenting the material truly make this tutorial stand out. I appreciate how they break down complex concepts into manageable parts, making it accessible for beginners like me while also providing depth for more advanced learners.
The examples used to illustrate NumPy functionalities are spot on, and the pace of the tutorial is just right, allowing for a thorough understanding without feeling overwhelmed.
Thank you, WsCube Tech, for creating such valuable content! Looking forward to diving deeper into NumPy and exploring more of your tutorials. Keep up the fantastic work! 👍🚀"
please bring a complete data analytics course basic to advanced (sql,excel,power bi and python)
Make a video on statistics for data science.
Pehele ye toh Sikh le
@@anudipray4492 tu apna dekh meri chinta mat kar🙏🙏
Excellent work highly appreciated.
That was amazing class I have only one feedback please stop that audio when titles are written it really disturbs the whole process
Mam, I Can't access from desktop folder I'm getting error jupyter' is not recognized as an internal or external command,
operable program or batch file. is there any solution? But, I can open from script file
please mam share the code file ipynb file, if you want help us better. we have very limited time to study all the topics. if you could share it will good to everyone and your viewers may increase much more.
please bring a complete machine learning crash course
mam ur voice is attractive hehe
1:23:51
mam thts mode defination nott median
dear mam, please try first then make tutorial of code. a lot of mistakes. i know these are very common/normal mistakes but please understand we are giving our productive hours and this type of mistake distract mind. thanks
Please upload Job oriented Data Science course basic to advanced
Very nice mam ....
38:22 mam ho jata hai string convert int me agar us string k andar koi integer ya float value ho
@wscube tech congratulations for 3 million in advance 😂❤❤
Awesome tutorial❤😊.Thank you so much Mam🙏🏻✨
21:13 How to open this
Its pycharm
Thanks😄
thanks.....it helps a lot
Very nice ❤
KYA BAT HAIIII
Thanks a lot mam😎🙏🏼
Power query ki full video with power BI visualization series
Mam one more one shot video is available on this channel for pandas of 4 hours so wich should i watch and wats the difference?
Impossible says I am Possible🙊🎉🎉
❤❤❤ Good night
27:34 37:56 53:19
Excellent
Axis=1 is column or axis=0 is row
Nice👍👍👍
21:00
52:00
Di plz apka real photo lagaie video ka front me me 3 bar apko jhund Chuka hoon....😢
use anaconda jupyter notebook
axis 0 is row axis 1 is column
axis 0 denotes columns and 1 rows
Everything depends on luck and Iam unlucky
No subscribes... no likes... 😞🙁🥺🥺
Pin please
Numpay suddenly started without teaching how to open and where to open
Itna bhi nahi pata fir python is not for you study something else prerequisite hi nahi pata, fir koi matlab hi nahi banta.
Please give me cyber security pro course I will work free for u please
Hii
Hello mam hamare yaha abhi scam hua hai scamer otp se bank khali kar diya iske liye please mam ek video banao
OTP diya ku Bhai
Wow 😮
Can i use vs code instead of jupyter?
Kal mera exam hai 11 maths ka aur mai ye dekh raha hu
Mera English ka hy
Khah se ho
Kanpur
@@Cyberrrest oh
Bhai mera aaj maths ka preboard h 🤡
Not open jupyter notebook
Online compiler per bhi aap practice kar sakte ho
Apache server ka video
❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤
please use black theme
First comment 🎉😂
❤❤❤❤
Hhiii
@@SonamKumari-nv5gj hlo
Ap kaha se ho
@@SonamKumari-nv5gj mp bhopal
❤
Black hat seo vidio upload
😇😇😇😇😇
Mera comments bhi ekdin viral hoga 😢
Comment virul hoga tu nahi
Haa usse fir bhai tumhe google m job bhi mil jayegi 🎉🎉
@@Hk-cy3sq viral ❌ virul ✅
Stop this stupidity
Salary milegi?
Chup Raho 😂
CLICKBAIT!!!!!!!!!!!
❤❤❤🇳🇵🇳🇵🇳🇵
CLICKBAIT!!
Why?
@@Anand-b5z IYKYK
Apka 1 Subscribe Mairri Zindaggi Badal Sakta ha 😢😢👃❤
❤❤❤❤❤