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Numpy reshape( 1) смотреть последние обновления за сегодня на .
Reshape your data either X.reshape(-1, 1) if your data has a single feature/column and X.reshape(1, -1) if it contains a single sample. If you are getting this error then in this video, I plan to demystify the confusion surrounding numpy reshape (1,-1) function. I'll use a simple example to explain what does -1 mean in numpy reshape. If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching. You can find me on: Blog - 🤍 Twitter - 🤍 GitHub - 🤍 Medium - 🤍 #Reshape #Numpy #Python
Numpy is really great module in python . In this video i explained np.reshape(-1,1) it is really useful and yet simple thing. In short np.reshape convert the or reshapes the matrix but when we use -1,1 then it converts vector to matrix or we can say it converts to number of elements and 1 column. watch whole video for full demonstration... # prev project github : 🤍 ##### * project * handwritten digit recognition : 🤍 addition using neural nets : 🤍 how to learn machine learning : 🤍 * ############ if you enjoyed the video then please LIKE | SHARE | SUBSCRIBE FACEBOOK : 🤍 twitter : 🤍 * github : 🤍 please support me by subscribing me what does -1 mean in numpy reshape?,numpy reshape (-1 1),numpy.reshape(-1 1),numpy reshape(-1 1),what does -1 in numpy reshape mean?,what does reshaping an array in python with one dimension set to -1 do?,what exactly is reshape(-1 1) in numpy & pandas (python) ?,numpy reshape,x.reshape(1 -1) if it contains a single sample,reshape(-1 1),machine learning,numpy tutorial,numpy arrays,numpy reshape(-1 1),np.reshape(-1,1),import numpy,sentdex,youtube,explained,subscribe green screen,deep fake documentary,ml,numpy arrays python,np.reshape python,np.reshape(-1 1),numpy,python,reshape,numpy reshape (-1 1),numpy.reshape(-1 1),what does -1 in numpy reshape mean?,what exactly is reshape(-1 1) in numpy & pandas (python) ?,numpy reshape,x.reshape(1 -1) if it contains a single sample,reshape(-1 1) -~-~~-~~~-~~-~- Please watch: "Top 10 ML PROJECTS for college students | Practical ml project with GITHUB" 🤍 -~-~~-~~~-~~-~-
What does numpy reshape(-1,1) and (1,-1) means? 1. Reshape your data features.reshape(-1, 1) if the dataset has a single feature or column 2. Reshape the date features.reshape(1, -1) if it contains a single sample or datapoint. All Playlist of this youtube channel 1. Data Preprocessing in Machine Learning 🤍 2. Confusion Matrix in Machine Learning, ML, AI 🤍 3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz 🤍 4. Cross Validation, Sampling, train test split in Machine Learning 🤍 5. Drop and Delete Operations in Python Pandas 🤍 6. Matrices and Vectors with python 🤍 7. Detect Outliers in Machine Learning 🤍 8. TimeSeries preprocessing in Machine Learning 🤍 9. Handling Missing Values in Machine Learning 🤍 10. Dummy Encoding Encoding in Machine Learning 🤍 11. Data Visualisation with Python, Seaborn, Matplotlib 🤍 12. Feature Scaling in Machine Learning 🤍 13. Python 3 basics for Beginner 🤍 14. Statistics with Python 🤍 15. Sklearn Scikit Learn Machine Learning 🤍 16. Python Pandas Dataframe Operations 🤍 17. Linear Regression, Supervised Machine Learning 🤍 18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics 🤍 19. Jupyter Notebook Operations 🤍 20. Logistic Regresion in Machine Learning, Data Science 🤍 21. Learn Microsoft Excel Basics 🤍
In this video we will talk about Reshape -1,1 and Reshape 1, -1 in Python Numpy module and their meaning with examples. NumPy Module Tutorial Playlist for Machine Learning: 🤍 Source Code: import numpy as np x=np.array([ [1,2,0], [3,4,0] ]) y1=x.reshape(-1,1) # col-wise vector print(y1) y2=x.reshape(1,-1) # row-wise vector print(y2)
What does Numpy reshape(-1 1) mean, how to use and why we use it #Numpyreshape(-11) #machinelearning #Python #Array #Vector #Matrix #motechapp
The NumPy reshape method is used to change the shape of an existing NumPy array without changing any of the data within the array. This can be used flatten a multidimensional array or add another dimension to a single dimensional array.
In this video we'll learn how to determine the shape of a Numpy Array and reshape a Numpy Array. You'll often need to determine the shape of a Numpy Array and we can do this using the .shape() function. You can also change the shape of a Numpy Array using the .reshape() function. We'll look at how to use both the shape and reshape function in this video. #numpy #codemy #JohnElder Timecodes 0:00 - Introduction 1:13 - Create a 1-D Numpy Array And Get Shape 2:04 - Create a 2-D Numpy Array and Get Shape 3:27 - Reshape 2-D Numpy Array 4:34 - Reshape 3-D Numpy Array 5:44 - Flatten a Numpy Array 6:35 - Conclusion
Use of Numpy Reshape function, what -1 means in reshape function and how to use it.
In this Python Programming video tutorial you will learn about array manipulation in detail. We will discuss about the reshape and resizing array. NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. reshape: Change the shape of given array without changing its size. resize : Change the shape as well as size of the array . #numpy #Python For more free tutorials on computer programming 🤍 🤍
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Most of the function names in Python can be intuitively connected to the meaning of the function. The NumPy reshape() function is not an exception. The reshape() function brings an array into another shape while keeping all the original data. Read the full article at: 🤍 ~~~ Become a better coder! Download the 5x Python Cheat Sheet Course (PDF). It’s free! * Click: 🤍 * 🐍 Cheating in Python? Of course! 🐍 See you soon it’s fun! 🤓 ~~~ Experts in their fields read more books! Become a Python expert: 📚 ... [Book] Coffee Break Python 🤍 ... [Book] Coffee Break Python workbook 🤍 ... [Book] Coffee Break NumPy 🤍 ... [Book] Brain Games Python 🤍 ... [Book] Python One-Liners 🤍 And become a Python master the fun way! ~~~ Start earning money by creating your own Python coding business (free webinar): 🤍
In this first Python Numpy Tutorial For Beginners video, I am going to give you the brief Introduction about numpy. I will explain what is numpy. why do we use numpy, NumPy is suited to what applications. at last i am going to show How to install numpy on windows using pip install and how to add numpy to your pycharm IDE. The fundamental library needed for scientific computing with Python is called NumPy. NumPy is a Python library for array-oriented computing. This Open Source library contains: a powerful N-dimensional array object advanced array slicing methods (to select array elements) convenient array reshaping methods ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ 🤍 ⚫️ 🤍 Java Programming Course ➡️ 🤍 ⚫️ 🤍 Bash Shell Scripting Course ➡️ 🤍 ⚫️ 🤍 Linux Command Line Tutorials ➡️ 🤍 ⚫️ 🤍 C Programming Course ➡️ 🤍 ⚫️ 🤍 C Programming Course ➡️ 🤍 ⚫️ 🤍 PHP Programming Course ➡️ 🤍 ⚫️ 🤍 Android Development Course ➡️ 🤍 ⚫️ 🤍 C# Programming Course ➡️ 🤍 ⚫️ 🤍 JavaFx Programming Course ➡️ 🤍 ⚫️ 🤍 NodeJs Programming Course ➡️ 🤍 ⚫️ 🤍 Jenkins Course For Developers and DevOps ➡️ 🤍 ⚫️ 🤍 Scala Programming Tutorial Course ➡️ 🤍 ⚫️ 🤍 Bootstrap Responsive Web Design Tutorial ➡️ 🤍 ⚫️ 🤍 MongoDB Tutorial Course ➡️ 🤍 ⚫️ 🤍 QT C GUI Tutorial For Beginners ➡️ 🤍 ★★★ Online Courses to learn ★★★ Get 2 FREE Months of Unlimited Classes from skillshare - 🤍 Data Science - 🤍 | 🤍 Machine Learning - 🤍 | 🤍 Artificial Intelligence - 🤍 | 🤍 MERN Stack E-Degree Program - 🤍 | 🤍 DevOps E-degree - 🤍 | 🤍 Data Analytics with R - 🤍 | 🤍 AWS Certification Training - 🤍 | 🤍 Projects in Java - 🤍 | 🤍 Machine Learning With TensorFlow - 🤍 | 🤍 Angular 8 - Complete Essential Guide - 🤍 Kotlin Android Development Masterclass - 🤍 Learn iOS Programming Building Advance Projects - 🤍 ★★★ Follow ★★★ My Website - 🤍 DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
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This Video is a part of a NumPy Tutorial Series: Start the entire series here: 🤍 We're continuing on in our NumPy series by talking about how to reshape and index numpy arrays. We'll talk about reshaping using the reshape method and .T transposes We'll also talk about how to select a row, column, and specific value from a numpy array using indexing. Thanks for all the support! Almost to 5k subscribers. Insanely awesome. Thank you for all the kind words! Join The Socials Picking Shoutouts Across YouTube, Insta, FB, and Twitter! FB - 🤍 Insta - 🤍 Twitter - 🤍 LinkedIn - 🤍 GitHub - 🤍 * Full code from the video: import numpy as np #Create simple array array_a = np.array([[1,2,3],[4,5,6]]) print(array_a.shape) # New Attribute Array Size print(array_a.size) # Number of Rows times Number of Columns # Reshape Array array_b = array_a.reshape(3,2) print(array_b) print(array_b.shape) #transpose array_a array_c = array_a.T print(array_c) print(array_c.shape) # Access Row print(array_c[0]) # Access Columns print(array_c[:,0]) # Access Specific Values print(array_c[1,1]) 🤍 Packages (& Versions) used in this video: Python 3.7 NumPy 1.17 * Code from this tutorial and all my others can be found on my GitHub: 🤍 Check out my website: 🤍 If you liked the video - please hit the like button. It means more than you know. Thanks for watching and thank you for all your support!! Always looking for suggestions on what video to make next leave me a comment with your project! Happy Coding!
Learn how to reshape a numpy array with the reshape method for python programming twitter: 🤍python_basics
In this video, learn Learn About Shape and Reshaping in NumPy Arrays | Machine Learning Tutorial. Find all the videos of the NumPy Tutorial for Beginner to Advanced Course in this playlist: 🤍 💎 Get Access to Premium Videos and Live Streams: 🤍 WsCube Tech is a leading Web, Mobile App & Digital Marketing company, and institute in India. We help businesses of all sizes to build their online presence, grow their business, and reach new heights. 👉For Digital Marketing services (Brand Building, SEO, SMO, PPC, SEM, Content Writing), Web Development, and App Development solutions, visit our website: 🤍 👉Want to learn new skills and improve existing ones with in-depth and practical sessions? Enroll in our advanced online courses now and make yourself job-ready: 🤍 All the courses are job-oriented, up-to-date with the latest algorithms and modules, fully practical, and provide you hands-on projects. 👉 Want to learn and acquire skills in English? Visit WsCube Tech English channel: 🤍 📞 For more info about the courses, call us: +91-7878985501, +91-9269698122 ✅ CONNECT WITH THE FOUNDER (Mr. Kushagra Bhatia) - 👉 Instagram - 🤍 👉 LinkedIn - 🤍 Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more: ► Subscribe: 🤍 ► Facebook: 🤍 ► Twitter: 🤍 ► Instagram: 🤍 ► LinkedIn : 🤍 ► Youtube: 🤍 ► Website: 🤍 | Thanks |- #Numpy #Python #Machinelearning
This session explains the basic NumPy resize and reshape function. Our teaching experience with numerous students made us to formulate a unique pattern of syllabus with pictorial representations that help to understand the code & concepts precisely. Please tune to the order of our syllabus to make learning easy. It starts with the basics of arrays and gradually gets into more advanced topics. We use Jupyter notebook IDE to execute the codes, but you can use the same codes in any other IDE like VS Studio ,Pycharm or spyder. Feel free to give your suggestions to improve the sessions and If you find this syllabus and method of explanation useful, please support us by subscribing and like our channel. Link for the Code 🤍
In this NumPy tutorial video, I have compared Ravel Vs. Flatten Vs. Reshape(-1). arr.ravel(): (i) Return only reference/view of the original array (ii) If you modify the array you would notice that the value of the original array also changes. arr.flatten() : (i) Return copy of the original array (ii) If you modify any value of this array value of the original array is not affected. arr.reshape(-1) (i) Return only reference/view of the original array (ii) If you modify the array you would notice that the value of the original array also changes. If you enjoy these tutorials, like the video, and give it a thumbs up and also share these videos with your friends and families if you think these videos would help him. Please consider clicking the SUBSCRIBE button to be notified of future videos. Thank you.
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How to reshape Numpy Array Ravel function Reshape function ravel example how to flatten NumPy array how to change the shape of NumPy array without changing data examples of reshape function = Link for Tutorial Series Jupyter Notebook Tutorial Series:- 🤍 Python Tutorial Series:- 🤍 Python Assignments and Objective Questions:- 🤍 Tech. Videos By Parag Dhawan;- 🤍 Object-Oriented Programming in Python:- 🤍 File Handling in Python:- 🤍 Exception Handling in Python:- 🤍 NumPy Tutorial Series:- 🤍 = Feel free to connect and ask your queries:- Linkedin:- 🤍 Youtube:- 🤍 Facebook Page:- 🤍 Instagram: - 🤍 Twitter:- 🤍 GitHub:- 🤍 = Show your support by Subscribing to the channel:- 🤍 = #ParagDhawan #Numpy #NumpyTutorial #Python #NumpyTutorialForBeginners #PythonForDataScience #PythonProgramming #PythonProgrammingLanguage #PythonTutorial #PythonCode #Python3 #JupyterNotebook How to Record Your Screen and make a tutorial video or demo video: - 🤍
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Check out 🤍 to practice your Python Pandas data science skills! This video overviews the NumPy library. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. A full video timeline can be found in the comments. Link to code used in video: 🤍 Feel free to watch at 1.5x to learn more quickly! If you enjoyed this video, please consider subscribing :). Let me know your feedback and what I should make a video on next. Videos of mine that use NumPy - Creating Connect 4 Game: 🤍 - Plotting (with some use of NumPy): 🤍 - Generating Mock Data: 🤍 Links with more information! NumPy vs Lists: 🤍 Indexing: 🤍 Array Creation Routines: 🤍 Math Routines Docs: 🤍 Linear Algebra Docs: 🤍 Video Timeline! 0:00 - Introduction 1:15 - What is NumPy 1:35 - NumPy vs Lists (speed, functionality) 9:17 - Applications of NumPy 11:08 - The Basics (creating arrays, shape, size, data type) 16:08 - Accessing/Changing Specific Elements, Rows, Columns, etc (slicing) 23:14 - Initializing Different Arrays (1s, 0s, full, random, etc...) 31:34 - Problem #1 (How do you initialize this array?) 33:42 - Be careful when copying variables! 35:45 - Basic Mathematics (arithmetic, trigonometry, etc.) 38:20 - Linear Algebra 42:19 - Statistics 43:57 - Reorganizing Arrays (reshape, vstack, hstack) 47:29 - Load data in from a file 50:20 - Advanced Indexing and Boolean Masking 55:59 - Problem #2 (How do you index these values?) - If you are curious to learn how I make my tutorials, check out this video: 🤍 Join the Python Army to get access to perks! YouTube - 🤍 Patreon - 🤍 *I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.
In This Video We are going to learn about reshaping in numpy. reshaping is very important operation also we are going to learn about expand_dims.
In this NumPy tutorial video, we are going to discuss about: Numpy reshape() with !!! Unknown Dimension !!! - We can give an unknown dimension in the reshape function. This means that we do not have to specify an exact number for one of the dimensions in the reshape() function. For that unknown dimension, we have to write “-1” as the value. Numpy will calculate this number for you. Alert : - We can not pass “-1” to more than one dimension - If you enjoy these tutorials, like the video, and give it a thumbs up and also share these videos with your friends and families if you think these videos would help him. Please consider clicking the SUBSCRIBE button to be notified of future videos. Thank you
In this video, we'll see how to use the reshape function to change the shape of an array. 0:00 - intro / setup 0:10 - reshape() 1:09 - C-style (aka row-major) order (1) 1:36 - Fortran-style (aka column-major) order (1) 1:58 - C-style (aka row-major) order (2) 2:20 - Fortran-style (aka column-major) order (2) 2:35 - dimension auto-calculate trick 3:05 - reshape() array "in place" (without copying data) 4:01 - array transpose - Code 🤍 - Vids & Playlists Google Colab - 🤍 NumPy - 🤍 Pandas - 🤍 Neural Networks - 🤍 - Subscribe To Mailing List 🤍 - Support 🤍
Full Course 🤍 Reshaping 1D, 2D, and 3D Arrays How to reshape image data like MNIST and CIFAR 10
In this tutorial, we learn R Data Science Certification Training: 🤍 This Rsquared Academy video on 'Reshaping NumPy Arrays' will introduce you to reshaping NumPy arrays using the reshape( ) function. We use it to convert one dimensional arrays to two/multi dimensional arrays. #RsquaredAcademy #numpy #array #reshape #python #pythontutorial #tutorial Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: 🤍 - Free Courses: 🤍 Blog: 🤍 R Packages: 🤍 Shiny Apps: 🤍 GitHub: 🤍 Twitter: 🤍 LinkedIn: 🤍 - For more information, Please write back to us at info🤍rsquaredacademy.com or call us at +91-9606872504
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Code: result = arrayData.flatten() If you have any further question, please write it down on the comments below...
Numpy reshape function is so handy, it also has ravel and flatten function which can make single dimension array from multiple dimensions, order c & order f fortran is also discussed. Numpy is Numerical Python all numpy and python tutorials are here. Tutorials both Links are: 1-Numpy Tutorials For Beginners: 🤍 2- Python Tutorials For Beginners: 🤍 Other Useful Links 1- Digiskills Batch 8 Registration Started - Govt of Pak Online Courses: 🤍 2- Microsoft Free Online Courses With Certificates: 🤍 3- Google Free Online Courses: 🤍 4- How to be Ready Programmer and Earn 500 USD in 3 Months: 🤍 5- How to Earn From Artificial Intelligence upto 20k USD $: 🤍 6- 9 Computer Languages in 8 Minutes: 🤍 7- How to Buy Best Laptop in Your Budget: 🤍 Artificial Intelligence Series, Machine Learning, Deep Learning and Most Wanted Freelancing Skill which can make you millionaire easily just required 5 to 10 mins daily practice either on ur pc laptop or mobile phone. I really do work hard to make these videos, kindly if u watch it like and subscribe the channel and click on bell icon. also follow me in Facebook, Instagram and Twitter. Facebook link 🤍 Instagram link 🤍 Twitter link 🤍 Future Scope Video Channel I will do my best to upload 1 to 2 videos in every week because i prefer and believe on Quality instead of Quantity. Thanks i will also teach you Machine Learning and Deep Learning in this course. #Numpy #Python #ArtificalIntelligence
This video will showcase an example of how the NumPy array function .reshape() can work magic in data preparation for machine learning and data science projects. Data Source: 🤍 This video is a part of a course called Python Data Manipulation, you can see the sequence of the video at 🤍 Chapters 0:00 Intro 0:54 Intro to Example 4:21 Loading data 6:61 Application of .reshape() function 7:53 what does -1 mean in prescribed shape? 8:49 Video Summary
How to Reshape Array in Numpy Hlo friends, In this video we will discuss that how we can reshape an array in numpy. For more videos on computer science subjects please subscribe my channel. Thank you...... These are the playlists links:- Pandas Tutorial in Hindi:- 🤍 Salesforce Tutorial in Hindi:- 🤍 Java Tutorial For Beginners In Hindi:- 🤍 Django Tutorial For Beginners:- 🤍 Flask Tutorial For Beginners:- 🤍 Python Tutorial For Beginners:- 🤍 Crash Courses in One Video:- 🤍 Python Programs For Beginners:- 🤍 Python Built-in functions:- 🤍 Matplotlib Tutorial in HIndi:- 🤍 Extra Topics About Programing:- 🤍 HTML tutorial For Beginners:- 🤍 CSS tutorial For Beginners:- 🤍 Numerical Methods:- 🤍 Trigonometry Videos:- 🤍 SQL Tutorial For Beginners:- 🤍 Data Structures in Python in Hindi:- 🤍 C language Tutorial in Hindi:- 🤍 Graph Theory in Discrete Mathematics:- 🤍 #knowledgeGainer #python #numpy #shorts Like and subscribe knowledge gainer channel for more videos....... Thank you so much.....
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In this first Python Numpy Tutorial For Beginners video, I am going to give you the brief Introduction about numpy. I will explain what is numpy. why do we use numpy, NumPy is suited to what applications. at last i am going to show How to install numpy on windows using pip install and how to add numpy to your pycharm IDE. The fundamental library needed for scientific computing with Python is called NumPy. NumPy is a Python library for array-oriented computing. This Open Source library contains: a powerful N-dimensional array object advanced array slicing methods (to select array elements) convenient array reshaping methods ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ 🤍 ⚫️ 🤍 Java Programming Course ➡️ 🤍 ⚫️ 🤍 Bash Shell Scripting Course ➡️ 🤍 ⚫️ 🤍 Linux Command Line Tutorials ➡️ 🤍 ⚫️ 🤍 C Programming Course ➡️ 🤍 ⚫️ 🤍 C Programming Course ➡️ 🤍 ⚫️ 🤍 PHP Programming Course ➡️ 🤍 ⚫️ 🤍 Android Development Course ➡️ 🤍 ⚫️ 🤍 C# Programming Course ➡️ 🤍 ⚫️ 🤍 JavaFx Programming Course ➡️ 🤍 ⚫️ 🤍 NodeJs Programming Course ➡️ 🤍 ⚫️ 🤍 Jenkins Course For Developers and DevOps ➡️ 🤍 ⚫️ 🤍 Scala Programming Tutorial Course ➡️ 🤍 ⚫️ 🤍 Bootstrap Responsive Web Design Tutorial ➡️ 🤍 ⚫️ 🤍 MongoDB Tutorial Course ➡️ 🤍 ⚫️ 🤍 QT C GUI Tutorial For Beginners ➡️ 🤍 ★★★ Online Courses to learn ★★★ Get 2 FREE Months of Unlimited Classes from skillshare - 🤍 Data Science - 🤍 | 🤍 Machine Learning - 🤍 | 🤍 Artificial Intelligence - 🤍 | 🤍 MERN Stack E-Degree Program - 🤍 | 🤍 DevOps E-degree - 🤍 | 🤍 Data Analytics with R - 🤍 | 🤍 AWS Certification Training - 🤍 | 🤍 Projects in Java - 🤍 | 🤍 Machine Learning With TensorFlow - 🤍 | 🤍 Angular 8 - Complete Essential Guide - 🤍 Kotlin Android Development Masterclass - 🤍 Learn iOS Programming Building Advance Projects - 🤍 ★★★ Follow ★★★ My Website - 🤍 DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Este vídeo es parte de una serie de tutoriales de Pandas: 🤍 En él vemos lo más básico de numpy: crear arrays, los tipos, saber sus dimensiones, etc. Si te ha gustado no olvides suscribirte!
Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. The video covers creating arrays, indexing, math, statistics, reshaping, and more. 💻 Code: 🤍 🎥 Tutorial from Keith Galli. Check out his YouTube channel: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (01:15) What is NumPy ⌨️ (01:35) NumPy vs Lists (speed, functionality) ⌨️ (09:17) Applications of NumPy ⌨️ (11:08) The Basics (creating arrays, shape, size, data type) ⌨️ (16:08) Accessing/Changing Specific Elements, Rows, Columns, etc (slicing) ⌨️ (23:14) Initializing Different Arrays (1s, 0s, full, random, etc...) ⌨️ (31:34) Problem #1 (How do you initialize this array?) ⌨️ (33:42) Be careful when copying variables! ⌨️ (35:45) Basic Mathematics (arithmetic, trigonometry, etc.) ⌨️ (38:20) Linear Algebra ⌨️ (42:19) Statistics ⌨️ (43:57) Reorganizing Arrays (reshape, vstack, hstack) ⌨️ (47:29) Load data in from a file ⌨️ (50:20) Advanced Indexing and Boolean Masking ⌨️ (55:59) Problem #2 (How do you index these values?) ⭐️ Links with more info ⭐️ 🔗 NumPy vs Lists: 🤍 🔗 Indexing: 🤍 🔗 Array Creation Routines: 🤍 🔗 Math Routines Docs: 🤍 🔗 Linear Algebra Docs: 🤍 Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍
In this video, we will be discussing two important functions in NumPy: numpy.resize and numpy.reshape. numpy.resize allows us to change the size of an array. We will learn how to use this function to resize arrays and how to handle size mismatches. numpy.reshape allows us to change the shape of an array without changing its data. We will learn how to use this function to reshape arrays and how to handle shape mismatches. We will also explore the differences between these two functions and when to use each one. By the end of this video, you will have a solid understanding of how to use numpy.resize and numpy.reshape effectively in your NumPy projects.
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![Numpy Reshape and Numpy Resize [Part -05 ]](https://i.ytimg.com/vi/p-KQbz8-uVg/mqdefault.jpg "Numpy Reshape and Numpy Resize [Part -05 ]")
