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numpy tutorial - slicing/stacking arrays, indexing with boolean arrays
 
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This tutorial covers array operations such as slicing, indexing, stacking. We will also go over how to index one array with another boolean array. Website: http://codebasicshub.com/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub Google +: https://plus.google.com/106698781833798756600
Views: 44856 codebasics
Arrays in Python / Numpy
 
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Arrays are collections of strings, numbers, or other objects. This tutorial demonstrates how to create and manipulate arrays in Python with Numpy.
Views: 129595 APMonitor.com
Python Numpy Array Index Slicing
 
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Learn how to do array index slicing in Numpy Python.
Views: 3817 DevNami
Python Basics 6 | Numpy Array | Create | Access | Update | Slice/Index | Basic Operation | Functions
 
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''' Python Basics - Session # 6 Topic to be covered - Numpy in Python 1. What is Numpy 2. Creating Numpy 3. Accessing Numpy elements 4. Updating Numpy 5. Indexing / Slicing in Numpy 6. Basic Operations in Numpy 7. Functions using Numpy mean, max, min, sort, var, std, argmin, argmax, nonzero, where, extract, 8. Broadcasting in Numpy 9. Numpy String Functions 10. Storage Comparision between List and Numpy 11. Processing time comparision between LiSst and Numpy 12. Matrix / Linear Algebra using Numpy 13. Iterations with Numpy 14. Numpy - converting to hexadecimal 15. I/O with Numpy 16. Matplotlib with Numpy Various options to be explored Barplot ''' ############################################################################### # 1. What is Numpy ? ''' 1. Numpy is a library for scientific computing. 2. Numpys stands for Numerical Python. 3. Numpy consists of Multidimensional array objects and it has collection of functions/routines to process those arrays. 4. There are advantages of using Numpy a. Takes less memory as compared to List b. Processing speed of numpy array is much higher. ''' ############################################################################### # 2. How do we create numpy array? import numpy as np x = np.array([1,2,3]) print(x) print(x.dtype) x = np.array([1,2,3.0]) print(x.dtype) print(x) x = np.array([10,20,30,40,50], ndmin = 3) print(x) print(x.size) print(x.shape) ############################################################################### # 3. Accessing Numpy Elements x = np.array([10,20,30,40,50]) print(x[2]) print(x[-1]) print(x[-3]) ############################################################################### # 4. Updating Numpy array print(x) x[2] = 80 print(x) ############################################################################### # 5. Indexing / Slicing in Numpy # Type 1 x = np.arange(10) s = slice(2,9,2) print(x[s]) print(x[slice(0,8,2)]) print(x[slice(1,8,3)]) print(x[0:8:2]) print(x[1:8:3]) x = np.arange(20) y = x[10] print(y) y = x[:10] print(y) y = x[10:] print(y) print(y[2:8]) print(y[2:10:2]) print(y[2:10:3]) # x = np.array([[10,20,30], [40,50,60], [70,80,90]]) print(x) ''' [[10 20 30] ----- 0 [40 50 60] ----- 1 [70 80 90]] ----- 2 ''' ###### print(x[1:]) print(x[2:]) print(x[0:]) print(x[3:]) print(x[:,0]) print(x[:,1]) print(x[:,2]) ############################################################################### # 6. Basic Operations in Numpy x = [10,20,30] y = [30,60,70] print(x + y) print(y / 10) x = np.array([10,20,30]) y = np.array([30,60,70]) print(x+y) print( y / 10) print ( x * 10) ############################################################################### #7. Functions using Numpy # mean, max, min, sort, var, std, argmin, argmax, nonzero, where, extract, Sachin_runs = np.array([110,105,155,0,191,174,0]) print(np.mean(Sachin_runs)) print(np.min(Sachin_runs)) print(np.max(Sachin_runs)) print(np.var(Sachin_runs)) print(np.std(Sachin_runs)) print(np.argmax(Sachin_runs)) print(np.argmin(Sachin_runs)) print(np.nonzero(Sachin_runs)) print(np.where(Sachin_runs GT 120)) condition = (Sachin_runs GT 100) & (Sachin_runs LT 160) print(np.extract(condition, Sachin_runs)) ###############################################################################
Arrays in Python: Two Sum Problem
 
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In this video, we are going to be solving the so-called "Two-Sum Problem": Problem: Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. We investigate three different approaches to solving this problem. Method 1: A brute-force approach that takes O(n^2) time to solve with O(1) space. We loop through the array and create all possible pairings of elements. Method 2: A slightly better approach time-wise, taking O(n) time, but worse from a space standpoint, with a space complexity of O(n). In this approach, we make use of an auxiliary hash table to keep track of whether it's possible to construct the target based on the elements we've processed thus far in the array. Method 3: This approach has a time complexity of O(n) and a constant space complexity, O(1). Here, we have two indices that we keep track of, one at the front and one at the back. We move either the left or right indices based on whether the sum of the elements at these indices is either greater or lesser than the target element. The software written in this video is available at: https://github.com/vprusso/youtube_tutorials/blob/master/data_structures/arrays/two_sum.py Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here: http://bit.ly/lp_vim If you've found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe: http://bit.ly/lp_subscribe
Views: 4201 LucidProgramming
Python: Numpy Array Indexing
 
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This video walks through array indexing examples. Array[rowstart:rowend, columnstart:columnend] It also shows how to get the diagonal using np.diag(). This is a Python anaconda tutorial for help with coding, programming, or computer science. These are short python videos dedicated to troubleshooting python problems and learning Python syntax. For more videos see Python Help playlist by Rylan Fowers. ✅Subscribe: https://www.youtube.com/channel/UCub4qT8Sgm7ytZsO-jLL4Ow?sub_confirmation=1 📺Channel: https://www.youtube.com/channel/UCub4qT8Sgm7ytZsO-jLL4Ow? ▶️Watch Latest Python Content: https://www.youtube.com/watch?v=myCPgAO9BgQ&list=PLL3Qv26_SCsGWTF5PRaWUY0yhURFvco7L ▶️Watch Latest Other Content: https://www.youtube.com/watch?v=2YfQsLd2Ups&list=PLL3Qv26_SCsFVXXdsxOSB00RSByLSJICj&index=1 🐦Follow Rylan on Twitter: https://twitter.com/rylanpfowers The creator studies Applied and Computational Mathematics at BYU (BYU ACME or BYU Applied Math) and does work for the BYU Chemical Engineering Department ARRAY INDEXING Array indexing is very important to know. I will introduce it here. We import numpy as np, since we will be creating arrays For this example I will make a random matrix A with numbers between -5, and 5.we don’t need to import random. We will make it (3,3) And we will change it to ints really quick So here is A Let’s bring it up again so we can have it for reference. First if you want any entry in the array simply type its corresponding row and column index location with a comma separating. Don’t forget that when coding, the first number is always 0. So we follow row position 2, and column position 1 which gives us our -1 Now we type 1 colon. This starts from the 1 position row, and the colon tells it to go to the end. So this will be the 1 position row to the last position row. Let’s compare this to colon 1. This does all the rows up to but not including the row in position one. So it will just print out the row in position 0. Next let’s bring up A again for reference 1 colon, comma 1. After the comma it references columns. So this is the 1 position row to the end towards the bottom and taken specifically from the 1 position column Next we have 1 comma 1 colon. This will be the row in the second position, and then the column from the first position to the end. Now, we do 0 colon comma 1 colon 2. This will take the row in the 0th position to the end, but limit it to only the row in column position 1 up to but not including column position 2. So that will give the middle column, as we see here. Something good to remember for this video when indexing arrays is that rows (or the first numbers in the index) move you up and down and columns (the second numbers in the index) move you left and right lastly I will quickly show you an easy way to get the diagonal of the matrix. np.diag(A) will return an array with the diagonal You can change the index with a keyword argument if you want above or below. For here we have one above Now we will do a negative to go below the diagonal. There you have it, that is an introduction of python numpy array indexing
Views: 347 Rylan Fowers
Python Tutorial: Slicing Lists and Strings
 
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In this video we will look at how to slice lists and strings in Python. Slicing allows us to extract certain elements from these lists and strings. This can be extremely useful for stripping out certain values from lists or getting a substring of a characters from a string. Let's take a look at a few code examples. The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Slicing If you enjoy these videos and would like to support my channel, I would greatly appreciate any assistance through my Patreon account: https://www.patreon.com/coreyms Or a one-time contribution through PayPal: https://goo.gl/649HFY If you would like to see additional ways in which you can support the channel, you can check out my support page: http://coreyms.com/support/ Equipment I use and books I recommend: https://www.amazon.com/shop/coreyschafer You can find me on: My website - http://coreyms.com/ Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Google Plus - https://plus.google.com/+CoreySchafer44/posts Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 78401 Corey Schafer
#22 Python Tutorial for Beginners | Array in Python
 
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Python Tutorial to learn Python programming with examples Complete Python Tutorial for Beginners Playlist : https://www.youtube.com/watch?v=hEgO047GxaQ&t=0s&index=2&list=PLsyeobzWxl7poL9JTVyndKe62ieoN-MZ3 Python Tutorial in Hindi : https://www.youtube.com/watch?v=JNbup20svwU&list=PLk_Jw3TebqxD7JYo0vnnFvVCEv5hON_ew In this video we will see: - Why Array? - Advantage of Array in Python - When to use Array - Importing module - Creating Array - Type of array - Type code - Storing value in array - Printing array values - buffer_info function - Printing type code - reverse function - Printing value of specific index - Printing values using loop - Printing length of array - Creating array of unicode value - Creating new array by copying existing array - Copying type from old array Editing Monitors : https://amzn.to/2RfKWgL https://amzn.to/2Q665JW https://amzn.to/2OUP21a. Check out our website: http://www.telusko.com Follow Telusko on Twitter: https://twitter.com/navinreddy20 Follow on Facebook: Telusko : https://www.facebook.com/teluskolearn... Navin Reddy : https://www.facebook.com/navintelusko Follow Navin Reddy on Instagram: https://www.instagram.com/navinreddy20 Subscribe to our other channel: Navin Reddy : https://www.youtube.com/channel/UCxmk... Telusko Hindi : https://www.youtube.com/channel/UCitz... Donation: PayPal Id : navinreddy20 Patreon : navinreddy20 http://www.telusko.com/contactus
Views: 86706 Telusko
#23 Python Tutorial for Beginners | Array values from User in Python | Search in Array
 
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Python Tutorial to learn Python programming with examples Complete Python Tutorial for Beginners Playlist : https://www.youtube.com/watch?v=hEgO047GxaQ&t=0s&index=2&list=PLsyeobzWxl7poL9JTVyndKe62ieoN-MZ3 Python Tutorial in Hindi : https://www.youtube.com/watch?v=JNbup20svwU&list=PLk_Jw3TebqxD7JYo0vnnFvVCEv5hON_ew In this video we will see: - Accepting values from user and store them in Array in python - Creating blank array - Asking length of array from user and accepting the values - Printing index of array value manually - Printing index value of user entered value - Printing index of array value by function Editing Monitors : https://amzn.to/2RfKWgL https://amzn.to/2Q665JW https://amzn.to/2OUP21a. Check out our website: http://www.telusko.com Follow Telusko on Twitter: https://twitter.com/navinreddy20 Follow on Facebook: Telusko : https://www.facebook.com/teluskolearn... Navin Reddy : https://www.facebook.com/navintelusko Follow Navin Reddy on Instagram: https://www.instagram.com/navinreddy20 Subscribe to our other channel: Navin Reddy : https://www.youtube.com/channel/UCxmk... Telusko Hindi : https://www.youtube.com/channel/UCitz... Donation: PayPal Id : navinreddy20 Patreon : navinreddy20 http://www.telusko.com/contactus
Views: 54453 Telusko
Python 3 Programming Tutorial - List Manipulation
 
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In this Python 3 programming tutorial, we cover how to manipulate lists in Python. We are able to add things to lists by appending, we are able to remove them with del, we are able to order lists, reverse them, and more. Sample code for this basics series: http://pythonprogramming.net/beginner-python-programming-tutorials/ Python 3 Programming tutorial Playlist: http://www.youtube.com/watch?v=oVp1vrfL_w4&feature=share&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 171859 sentdex
Engineering Python 13C: NumPy Array Indexing and Slicing
 
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Textbooks: https://amzn.to/2VmpDwK https://amzn.to/2GQSV3D https://amzn.to/2SvTOQx Welcome to Engineering Python. This is a Python programming course for engineers. In this video, I'll talk about NumPy array indexing and slicing. The course materials are available on YouTube and GitHub. http://youtube.com/yongtwang http://github.com/yongtwang ---------------------------------------- Smart Energy Operations Research Lab (SEORL): http://binghamton.edu/seorl
Views: 600 Yong Wang
How do I use the MultiIndex in pandas?
 
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One of the most powerful features in pandas is multi-level indexing (or "hierarchical indexing"), which allows you to add extra dimensions to your Series or DataFrame objects. But when should you use a MultiIndex, and how do you create, slice, and merge MultiIndexed objects? In this video, I'll demonstrate: - How to create a Series with a MultiIndex, and how to convert it to a DataFrame - How to select from a Series with a MultiIndex - How to create a DataFrame with a MultiIndex - How to select from a DataFrame with a MultiIndex - How to merge two DataFrames with MultiIndexes WANT TO JOIN MY NEXT WEBCAST? Become a member ($5/month): https://www.patreon.com/dataschool === RELATED RESOURCES === Download the lesson notebook: http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_multiindex.ipynb Using the pandas index (Part 1): https://www.youtube.com/watch?v=OYZNk7Z9s6I&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=17 Using the pandas index (Part 2): https://www.youtube.com/watch?v=15q-is8P_H4&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=18 Analyzing groups with groupby: https://www.youtube.com/watch?v=qy0fDqoMJx8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=14 Selection and slicing with loc: https://www.youtube.com/watch?v=xvpNA7bC8cs&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=19 My full pandas video series: https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y DataCamp course on MultiIndex: https://www.datacamp.com/courses/manipulating-dataframes-with-pandas?tap_a=5644-dce66f&tap_s=280411-a25fc8 DataCamp course on merging: https://www.datacamp.com/courses/merging-dataframes-with-pandas?tap_a=5644-dce66f&tap_s=280411-a25fc8 Tidy data: http://r4ds.had.co.nz/tidy-data.html == LET'S CONNECT! == Newsletter: https://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham Facebook: https://www.facebook.com/DataScienceSchool/ LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 10103 Data School
Indexing and Slicing a String In Python
 
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This tutorial has been update to Python 3.7 at https://www.mastercode.online/courses/tutorial/get-a-character-via-the-index-in-python-37/ Channel - https://goo.gl/pnKLqE Playlist For This Tutorial - https://goo.gl/EyZFti Latest Video - https://goo.gl/atWRkF Facebook - https://www.facebook.com/mastercodeonline/ Twitter - https://twitter.com/mastercodeonlin?lang=en Website - http://mastercode.online ====================================== Indexing and Slicing in Python Strings are an ordered collection of letters, numbers and symbols which we can actually access each of these by their position(indexing) in a string. We can access a group of letters by slicing. In this tutorial, we will cover indexing and slicing a string in Python as one since they go hand in hand in Python. Indexing in Python Indexing provides each character contained in a string an identity so we can access that character or characters via slicing. The index always starts at the number 0 and counts up till the end of the string. Each character, space, symbol, and the number is automatically assigned an index number. Example of a String Index In the above example, we see how a string is indexed. You may have noticed the count start at 0 so this means that the letter T is at the 0 index. Then the index counts up from there including spaces and symbols. Example How To Access a character via Indexing #Indexing from the left side a = 'This is a string' a[0] 'T' #Indexing from the right side a = 'This is a string' a[-1] 'g' In the above example, we created a string and assign it the name(variable) of a. On the next line we index from the left to obtain the first letter in the string. Notice that we use zero to get the first letter in the string. If we just wanted to get the second letter, then it would look like a[1] to get the h. In the second example, we index from the right using a negative index number. We get the g at the end of the string. Negative numbers count backwards. When we index from the right or the end we do not begin with 0 we actually start with -1. Here Are a Couple More Examples of Indexing b = 'A new string for us to use' b[1] ' ' b[4] 'w' b[6] 's' b[-4] ' ' b[-7] ' ' b[-6] 't' Slicing in Python In above section, we looked at indexing where we can only access one character at a time. Slicing gives us the ability to access a group of characters or a group of characters by skipping(stepping). Same rules apply positive number starts from the left and a negative number starts from the right. Let's look at some examples of slicing. Our String For Theses Examples #Our String for Slicing Examples a = '0123456789' Example a[1:5] a = '0123456789' a[1:5] '1234' In the above example, we slice from the first index which in this case is the number one and slice up to but not including index of 5. Let's break it down more "a" is name(variable) for the object then we have the opening square bracket which either indicates indexing or slicing then we have the number 1 which indicates index of 1 which is the starting point then a colon(:) which indicates we are slicing then we have the number 5 which instructs Python to stop at the index before the number 5 which is the fourth index position. Some new programmers get confused with the ending point in a slice which stops one spot before the number I give when writing the code. Hope that does not confuse you. Example a[2:] a = '0123456789' a[2:] '23456789' In this example, we slice but we do not give an ending index so what happens. Python will start at the beginning index and count up to the end of the string. In this case, Python starts at the second index and continues to count up to the end of the string. Example a[:7] a = '0123456789' a[:7] '0123456' In this example, we slice from an index of zero up to an index of 6 because the ending index always finishes one index position before we stated in the code. If we do not provide a starting index position like in above example Python will start index 0 and count up to the ending index. Example a[0:-1] a = '0123456789' a[0:-1] '012345678' In this example, we slice from the start of the string up to but not including the last number. Remember negative numbers count from the right starting at -1. We could have also wrote this like this a[:-1] and we would have got the same result. Try it. Example a[:] a = '0123456789' a[:] '0123456789' In this example, we basically just make a copy of the object that we just sliced. We provide no starting and ending index so we just get a copy of the string. Stepping Through a String We are going to add a third limit to our slice this limit allows us to step or skip through our string. Let's take a look at some examples. a = '0123456789' a[0:9:2] '02468' What happened in this example? Well we slice from the 0 index and then end at 8 index(9 is what we coded but always one before) and then we step through string by 2 this is the third limit we have added.
Views: 20499 Master Code Online
Python Strings,Arrays,splits,index, del, insert 1 of 3
 
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I easily split up the Khan's Quote into a list. I del entries from the List, insert new entries into the List. Thereby improving on the quote. :-)
Views: 418 george boole
PYTHON Program to searching an array for an element using Index() method
 
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Hope u like the Video. PLZZZ do like and subscribe for more video on python.
Views: 66 Chanel OVO
Indexes and slices - Python 3 Programming Tutorial p.5
 
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Using indexes to modify our Tic Tac Toe game board Playlist: https://www.youtube.com/playlist?list=PLQVvvaa0QuDeAams7fkdcwOGBpGdHpXln #python #programming #tutorial
Views: 22837 sentdex
NumPy Indexing and Slicing Arrays, Boolean Mask Arrays ,  Numpy Python Data Science
 
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In this Python NumPy Tutorial on Data Science, We discuss Numpy Indexing and Slicing Arrays. We Learn Numpy Boolean Indexing. NumPy is the ultimate package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, tools for integrating C/C++ and Fortran code, sophisticated (broadcasting) functions, useful linear algebra, random number capabilities and Fourier transform. Basic slicing ( 0:32 ) extends Python’s basic concept of slicing to N dimensions. Basic slicing occurs when obj is a slice object (constructed by start:stop:step notation inside of brackets) . NumPy Boolean arrays ( 8:12 ) used as indices are treated in a different manner entirely than index arrays. Boolean arrays must be of the same shape as the initial dimensions of the array being indexed. In the most straightforward case, the boolean array has the same shape. **************************************************************** $$ What is Jupyter Notebook ? Introduction to Markdowns https://youtu.be/IdakPcu75ho $$ Create Arrays Using NumPy Methods & Python Structures https://youtu.be/YNIwYUbL4qo **************************************************************** *** Complete Python Programming Playlists *** * Complete Playlist of Python 3.6.4 Tutorial can be fund here: https://www.youtube.com/watch?v=D0FrzbmWoys&list=PLZ7s-Z1aAtmKVb0fpKyINNeSbFSNkLTjQ * Complete Play list of Python Smart Programming in Jupyter Notebook: https://www.youtube.com/watch?v=FkJI8np1gV8&list=PLZ7s-Z1aAtmIVV0dp08_X-yDGrIlTExd2 * Complete Playlist of Python Data Science https://www.youtube.com/watch?v=Uct_EbThV1E&list=PLZ7s-Z1aAtmIbaEj_PtUqkqdmI1k7libK * Complete Play List of Python Coding Interview: https://www.youtube.com/watch?v=wwtzs7vTG50&list=PLZ7s-Z1aAtmJqtN1A3ydeMk0JoD3Lvt9g **************************************************************** NumPy Data Science Essential Training introduces the beginning to intermediate data scientist to NumPy, the Python library that supports numerical, scientific, and statistical programming, including machine learning. The library supports several aspects of data science, providing multidimensional array objects, derived objects (matrixes and masked arrays), and routines for math, logic, sorting, statistics, and random number generation. Jupyter Notebook, a browser-based tool for creating interactive documents with live code, annotations, and even visualizations such as plots. Learn how to create NumPy arrays, use NumPy statements and snippets, and index, slice, iterate, and otherwise manipulate arrays. Plus, learn how to plot data and combine NumPy arrays with Python classes, and get examples of NumPy in action: solving linear equations, finding patterns, performing statistics, generating magic cubes, and more. Topics include: 1. Using Jupyter Notebook 2. Creating NumPy arrays from Python structures 3. Slicing arrays 4. Using Boolean masking and broadcasting techniques 5. Plotting in Jupyter notebooks 6. Joining and splitting arrays 7. Rearranging array elements 8. Creating universal functions 9. Finding patterns 10. Building magic squares and magic cubes with NumPy and Python
Views: 1856 TheEngineeringWorld
How to Compare Arrays and Indices in Python 3.4.3
 
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Hi guys! This is my first go at uploading some of my work! I just got done with a really difficult project and was excited to share this with you since their doesn't seem to be a lot of stuff on this topic (for Python 3, anyway) I hope you guys enjoy it!
Views: 438 Aaron Roach
How to use Numpy Arrays in Python
 
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Learn to work with the Numpy array, a faster and more powerful alternative to the list
Views: 35634 DataCamp
Chapter 18: Swapping Values in a Python Array
 
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Describes the process to swap two values in a Python array. From http://cs.simpson.edu/cmsc150/index.php?chapter=sorting
Views: 12586 Professor Craven
Python NumPy Tutorial 03 - How to Unroll an Array
 
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This short tutorial shows hot to unroll an array using NumPy library and Python programming language. More information about used functions: flatten https://goo.gl/8LXwkt ravel https://goo.gl/h7I8ED
Views: 801 buggedcomputers
Binary Search in Python: Cyclically Shifted Array
 
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An array is "cyclically sorted" if it is possible to cyclically shift its entries so that it becomes sorted. The following list is an example of a cyclically sorted array: A = [4, 5, 6, 7, 1, 2, 3] Write a function that determines the index of the smallest element of the cyclically sorted array. This video is one part of the Binary Search playlist on my channel. For more videos on binary search and how to apply it to various problems, check out the other videos: https://www.youtube.com/playlist?list=PL5tcWHG-UPH1kjiE-Fqt1xCSkcwyfn2Jb The software written in this video is available at: https://github.com/vprusso/youtube_tutorials/blob/master/algorithms/search_algorithms/binary_search/cyclic_sorted_array.py Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here: http://bit.ly/lp_vim If you've found this video helpful and want to stay up-to-date with the latest videos posted on this channel, please subscribe: http://bit.ly/lp_subscribe
Views: 290 LucidProgramming
Python Numpy Shape of Array
 
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Learn how to view the shape of an Array using Python Numpy.
Views: 8896 DevNami
Numpy and Matplotlib Tutorial
 
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#Numpy #Matplotlib #MachineLearning #DataAnalytics #DataScience This Tutorial is a part of the series Data Analytics with Python. This video is a tutorial to learning Numpy and Matplotlib in Python. What is Numpy used for ? Numpy arrays are very fast and efficient for mathematical operations. The ndarrays for Numpy add functionality for multi dimentional arrays. What is Matplotlib? Matplotlib is an extension for Numpy with the ability of plotting graphs and Data Visualization. The functions covered in this tutorial are: Numpy : - List to numpy array - Multiplication - np.arange (Generating numbers with specified gaps) - Multidimentional Array - ndim (checking the dimensions of array) - np.shape() - np.random.randn() - Accessing via Index Matplotlib: - pyplot - Adding labels - Changing scale of Axis - Different color and shape of plot points - Plot more than one graph For all Ipython notebooks, used in this series : https://github.com/shreyans29/thesemicolon Facebook : https://www.facebook.com/thesemicolon.code Support us on Patreon : https://www.patreon.com/thesemicolon Pattern Recognition and Machine Learning : http://amzn.to/2p6mD6R
Views: 7378 The Semicolon
numpy tutorial - basic array operations
 
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This tutorial covers various operations around array object in numpy such as array properties (ndim,shape,itemsize,size etc.), math operations (min,max,sqrt,std etc.), arange, reshape etc. Please give thumbs up/subscribe/comment if you like this tutorial. Website: http://codebasicshub.com/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub Google +: https://plus.google.com/106698781833798756600
Views: 67159 codebasics
Python Tutorial for Beginners 17 - Python Slice and Negative index
 
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In this video I am going to show How to use Slice function or slicing with Python Collections. Also I am going to show how to use Negative index with Python Collections. So What is Python Slice? A slize is a span of items that are taken from a sequence List slicing format: list[start : end: step]. Span is a list containing copies of elements from start up to, but not including, end If start not specified, 0 is used for start index. If end not specified, len(list) is used for end index. Slicing expressions can include a step value and negative indexes relative to end of list. And What is Negative Indexing In Python: I a Python Collection such as Lists, Strings, Tuples, Bytes .. we can refer to an element by a negative index representing how far it is from the end. example # +---+---+---+---+---+---+ # | P | y | t | h | o | n | # +---+---+---+---+---+---+ # 0 1 2 3 4 5 ---- Positive Index # -6 -5 -4 -3 -2 -1 ---- Negative Index #PythonTutorialforBeginners #ProgrammingKnowledge #LearnPython #PythonCourse -------------------Online Courses to learn---------------------------- Blockchain Course - http://bit.ly/2Mmzcv0 Big Data Hadoop Course - http://bit.ly/2MV97PL Java - https://bit.ly/2H6wqXk C++ - https://bit.ly/2q8VWl1 AngularJS - https://bit.ly/2qebsLu Python - https://bit.ly/2Eq0VSt C- https://bit.ly/2HfZ6L8 Android - https://bit.ly/2qaRSAS Linux - https://bit.ly/2IwOuqz AWS Certified Solutions Architect - https://bit.ly/2JrGoAF Modern React with Redux - https://bit.ly/2H6wDtA MySQL - https://bit.ly/2qcF63Z ----------------------Follow--------------------------------------------- My Website - http://www.codebind.com My Blog - https://goo.gl/Nd2pFn My Facebook Page - https://goo.gl/eLp2cQ Google+ - https://goo.gl/lvC5FX Twitter - https://twitter.com/ProgrammingKnow Pinterest - https://goo.gl/kCInUp Text Case Converter - https://goo.gl/pVpcwL -------------------------Stuff I use to make videos ------------------- Stuff I use to make videos Windows notebook – http://amzn.to/2zcXPyF Apple MacBook Pro – http://amzn.to/2BTJBZ7 Ubuntu notebook - https://amzn.to/2GE4giY Desktop - http://amzn.to/2zct252 Microphone – http://amzn.to/2zcYbW1 notebook mouse – http://amzn.to/2BVs4Q3 ------------------Facebook Links ---------------------------------------- http://fb.me/ProgrammingKnowledgeLearning/ http://fb.me/AndroidTutorialsForBeginners http://fb.me/Programmingknowledge http://fb.me/CppProgrammingLanguage http://fb.me/JavaTutorialsAndCode http://fb.me/SQLiteTutorial http://fb.me/UbuntuLinuxTutorials http://fb.me/EasyOnlineConverter
Views: 6585 ProgrammingKnowledge
Python - Arrays Implementation
 
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Python - Arrays Implementation Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited
Python Numpy Split Array
 
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Learn how to split array using Python numpy.
Views: 1970 DevNami
Python para análise de dados - Numpy - Índices com Arrays Numpy
 
14:23
Com mais de 100 aulas de vídeo em HD e notebooks de códigos detalhados para cada vídeo, Python para Data Science e Machine Learning é um dos cursos mais abrangentes para ciência de dados e Machine Learning da Udemy! Com esse material, você será capaz de usar NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning e muito mais. Use o cupom a seguir para um desconto especial no curso! https://www.udemy.com/python-para-data-science-e-machine-learning/?couponCode=_YOUTUBE
Python 72 List Index
 
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Join the Family: https://discord.gg/Kgtnfw4 Support me on Patreon: https://patreon.com/johnhammond010 Learn to code with a TeamTreehouse Discount: treehouse.7eer.net/1WOz6 E-mail: [email protected] PayPal: http://paypal.me/johnhammond010 GitHub: https://github.com/JohnHammond Site: http://www.johnhammond.org Twitter: https://twitter.com/_johnhammond
Views: 1815 John Hammond
How to use Index function with Array in Python by Pearl Institute - Part 60
 
03:03
How to use Index function with Array in Python by Pearl Institute - Part 60. All the tutorials are in Hindi Language. Join us to Learn more Pearl Institute Batala (an ISO 9001:2015 Certified Institute) Contact: 78149-76999 Follow us on Website https://www.pearlinstitute.in/ Facebook Page https://www.facebook.com/pearlinstitutebatala Twitter Handle https://twitter.com/PearlInstitute2
Views: 20 Pearl Institute
Python numpy array operation tutorial-2
 
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This video will teach different operation on array in numpy. Indexing Reshaping Max, min, argmax, argmin, sort +, - , *, /,Power Mean, std Cross, Dot Visit complete course on Data Science with Python : https://www.udemy.com/data-science-with-python-and-pandas/?couponCode=YTSOCIAL090 For All other visit my udemy profile at : https://www.udemy.com/user/ankitmistry/
Views: 936 MyStudy
Iterate Through Python List Using For Loops
 
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Python 3.7 Version - https://youtu.be/QHPEP2ztiPE Check out Python 3.7 tutorial series at https://www.mastercode.online/courses/python-37-complete-tutorial-series Be sure to like, share and comment to show your support for our tutorials. ======================================= Channel - https://goo.gl/pnKLqE Playlist For This Tutorial - https://goo.gl/EyZFti Latest Video - https://goo.gl/atWRkF Facebook - https://www.facebook.com/mastercodeonline/ Twitter - https://twitter.com/mastercodeonlin?lang=en Website - https://www.mastercode.online ====================================== In this Python instructional exercise, we are going to figure out how to iterate through a Python list. Iterate means looping through a procedure in programming. We will figure out how experience a list and print every item contained in a list in Python. We will utilize a for loop in Python. We quickly took a gander at for loops in the string segment of our instructional exercises. The for loop will experience every article that shows up in a list and print that question or give back that protest one time. On the off chance that we have to give back every item contained in a list of the for loop is our best alternative. We could likewise fulfill this errand by indexing every article, except that would take forever and take a great deal of code. Our objective when programing is to restrain the measure of code composed to perform an assignment. For Loop Syntax for variable in arrangement: print(variable) For Loop Syntax Explained for - Indicates to Python that we need to iterate through or loop through our sequence(list, dictionary(keys), tuples, strings, and so on.) variable - This variable can be anything that meets the Python variable rules. I think about this variable as only a placeholder for every item contained in a list. in - In is an administrator in Python that check for the enrollment. I think about this as is it in that list, word reference, tuple, string, and so on. This implies is it a player in that question. : - Colon demonstrates the begin of a piece of code. We will see a considerable measure of colons later on instructional exercises print() - Print is still some portion of the for loop which is alluded to as a square of code. The print articulation will print every item contained in the arrangement to us. variable - This is the same variable in the for loop line this equitable calls the placeholder variable so Python knows which questions print. Cases Of Iterating in Python Using The For Loop a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] for var in a: ... print(var) ... 1 2 3 4 5 6 7 8 9 10 a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] - We make a list protest that contains the numbers 1 through 10. We allocate the variable of "a" to speak to the list object. for var in a: - We then perform a for loop on our list object. In the first place we incorporate the for which demonstrates we need to iterate through the list object. We then appoint every article contained in the list question a provisional variable which we allude to as var in this case. At that point we utilize the in administrator to advise our project to look in the list item speak to by the variable 'a'. print(var) - Important we have to include two spaces before this line of code. We incorporate our print explanation to show we might want to print every item that is spoken to by the transitory variable of var. Given back our articles - We are given back every one of items contained in our list object. Notice every one is imprinted on another line. Essential Infomation About The For Loop The principal line must have a colon( : ) toward the end. The second line must be indented( two spaces) We can utilize else discretionary statement in a for loop. The interim variable can be anything you need the length of it meets Pythons variable rules. Conclusion In this Python instructional exercise, we figure out how to iterate through a list utilizing the Python for loop. On the off chance that you have any inquiries concerning iterating please leave a remark beneath.
Views: 28963 Master Code Online
Python 3 Programming Tutorial - Lists and Tuples
 
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In this programming tutorial, we cover Python lists and tuples. Both data structures contain data, but are slightly different. Python lists are mutable, meaning they can be changed and manipulated. Tuples are immutable, meaning they cannot be changed. This is what sets them apart and why you would use a specific one. Lists are usually more popular, since people want to be able to change them, but tuples are also useful when you do not want or need to change the data. It should also be noted that Tuples are faster to process and iterate through, so this gives them a bonus, again, if you are not needing to manipulate them. Sample code for this basics series: http://pythonprogramming.net/beginner-python-programming-tutorials/ Python 3 Programming tutorial Playlist: http://www.youtube.com/watch?v=oVp1vrfL_w4&feature=share&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 121650 sentdex
Python Numpy - 04 Array of Zeros
 
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In this lesson, “Numpy Array of Zeros”, I discussed how you can create array of zeros. In Numpy, you will use zeros() function to create array of zeros. It accepts shape of the array as parameter and generates required array for you with zeros at each index. In this lesson, you will learn: 1. How to create single dimensional – Numpy Array of Zeros 2. How to create two dimensional – Numpy Array of Zeros 3. Assigning Numpy Data Type (dtype) while creating Numpy Array of Zeros 4. Checking Numpy Array Type (dtype) https://youtu.be/7pHBdm7nzFk ********************************************************************* Please subscribe to my channel: https://www.youtube.com/c/ashmanmalhotra?sub_confirmation=1 ********************************************************************* Thank you for watching my video on "Python Numpy – Array of Zeros" ********************************************************************* Contact: [email protected] for training inquiries ********************************************************************* "Python Numpy Tutorials" | "Python Numpy" | "Numpy" | "Data Science" | "Data Science Using Python" | "Python Numpy – Array of Zeros"
Views: 419 Ashman Malhotra
Python Programming Tutorial | Cyclically rotate an array by one | List Slicing | GeeksforGeeks
 
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Find Complete Code at GeeksforGeeks Article: https://www.geeksforgeeks.org/program-cyclically-rotate-array-one-python-list-slicing/ This video is contributed by Afzal Ansari Please Like, Comment and Share the Video among your friends. Install our Android App: https://play.google.com/store/apps/details?id=free.programming.programming&hl=en If you wish, translate into local language and help us reach millions of other geeks: http://www.youtube.com/timedtext_cs_panel?c=UC0RhatS1pyxInC00YKjjBqQ&tab=2 Follow us on Facebook: https://www.facebook.com/GfGVideos/ And Twitter: https://twitter.com/gfgvideos Also, Subscribe if you haven't already! :)
Views: 1549 GeeksforGeeks
Sparse Matrices - Intro to Parallel Programming
 
01:31
This video is part of an online course, Intro to Parallel Programming. Check out the course here: https://www.udacity.com/course/cs344.
Views: 30753 Udacity
list in python || array || list functions||operations on list-Ak
 
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python list function python list() function python list append python list slice python list index python list length python tuple dictionary in python
Views: 38 CSE TECH'S
Python Tutorial for Beginners 8 - Python Slices or Slicing
 
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In this video I am going to show How to use Slice function or slicing with Python Collections. Also I am going to show how to use Negative index with Python Collections. So What is Python Slice? A slize is a span of items that are taken from a sequence List slicing format: list[start : end: step]. Span is a list containing copies of elements from start up to, but not including, end If start not specified, 0 is used for start index. If end not specified, len(list) is used for end index. Slicing expressions can include a step value and negative indexes relative to end of list. And What is Negative Indexing In Python: I a Python Collection such as Lists, Strings, Tuples, Bytes .. we can refer to an element by a negative index representing how far it is from the end. example # +---+---+---+---+---+---+ # | P | y | t | h | o | n | # +---+---+---+---+---+---+ # 0 1 2 3 4 5 ---- Positive Index # -6 -5 -4 -3 -2 -1 ---- Negative Index -------------------Online Courses to learn---------------------------- Blockchain Course - http://bit.ly/2Mmzcv0 Big Data Hadoop Course - http://bit.ly/2MV97PL Java - https://bit.ly/2H6wqXk C++ - https://bit.ly/2q8VWl1 AngularJS - https://bit.ly/2qebsLu Python - https://bit.ly/2Eq0VSt C- https://bit.ly/2HfZ6L8 Android - https://bit.ly/2qaRSAS Linux - https://bit.ly/2IwOuqz AWS Certified Solutions Architect - https://bit.ly/2JrGoAF Modern React with Redux - https://bit.ly/2H6wDtA MySQL - https://bit.ly/2qcF63Z ----------------------Follow--------------------------------------------- My Website - http://www.codebind.com My Blog - https://goo.gl/Nd2pFn My Facebook Page - https://goo.gl/eLp2cQ Google+ - https://goo.gl/lvC5FX Twitter - https://twitter.com/ProgrammingKnow Pinterest - https://goo.gl/kCInUp Text Case Converter - https://goo.gl/pVpcwL -------------------------Stuff I use to make videos ------------------- Stuff I use to make videos Windows notebook – http://amzn.to/2zcXPyF Apple MacBook Pro – http://amzn.to/2BTJBZ7 Ubuntu notebook - https://amzn.to/2GE4giY Desktop - http://amzn.to/2zct252 Microphone – http://amzn.to/2zcYbW1 notebook mouse – http://amzn.to/2BVs4Q3 ------------------Facebook Links ---------------------------------------- http://fb.me/ProgrammingKnowledgeLearning/ http://fb.me/AndroidTutorialsForBeginners http://fb.me/Programmingknowledge http://fb.me/CppProgrammingLanguage http://fb.me/JavaTutorialsAndCode http://fb.me/SQLiteTutorial http://fb.me/UbuntuLinuxTutorials http://fb.me/EasyOnlineConverter - Python Slices python tutorial for beginners pdf python tutorial for beginners with examples best python tutorial for beginners python tutorial for beginners ppt python tutorial for beginners video basic python tutorial for beginners learn python tutorial Verwandte Suchanfragen zu python slices python string multiple lines python slice list python string slice python länge einer liste python multiple assignment python string to tuple python string abschneiden python compare tuples
Views: 189191 ProgrammingKnowledge
Python Lists  ||  Python Tutorial  ||  Learn Python Programming
 
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Lists are a way to store ordered data. In this Python tutorial, we show you how to create lists, access elements by index, slice lists, join two lists (concatenation), and more. We will talk about sets, dictionaries and tuples in separate videos. ➢➢➢➢➢➢➢➢➢➢ To learn Python, you can watch our playlist from the beginning: https://www.youtube.com/watch?v=bY6m6_IIN94&list=PLi01XoE8jYohWFPpC17Z-wWhPOSuh8Er- ➢➢➢➢➢➢➢➢➢➢ We recommend: Python Cookbook, Third edition from O’Reilly http://amzn.to/2sCNYlZ The Mythical Man Month - Essays on Software Engineering & Project Management http://amzn.to/2tYdNeP Shop Amazon Used Textbooks - Save up to 90% http://amzn.to/2pllk4B ➢➢➢➢➢➢➢➢➢➢ Subscribe to Socratica: http://bit.ly/1ixuu9W To support more videos from Socratica, visit Socratica Patreon https://www.patreon.com/socratica Socratica Paypal https://www.paypal.me/socratica We also accept Bitcoin! :) Our address is: 1EttYyGwJmpy9bLY2UcmEqMJuBfaZ1HdG9 ➢➢➢➢➢➢➢➢➢➢ Python instructor: Ulka Simone Mohanty Written & Produced by Michael Harrison FX by Andriy Kostyuk
Views: 99837 Socratica
Creating NumPy arrays
 
01:40
This video is part of the Udacity course "Machine Learning for Trading". Watch the full course at https://www.udacity.com/course/ud501
Views: 3568 Udacity
Python: Array Slicing
 
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Python: Array Slicing. Full course here: http://www.damiantgordon.com/Videos/ProgrammingAndAlgorithms/MainMenu.html
Views: 1620 Damian T. Gordon
What is a HashTable Data Structure - Introduction to Hash Tables , Part 0
 
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This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx STILL NEED MORE HELP? Connect one-on-one with a Programming Tutor. Click the link below: https://trk.justanswer.com/aff_c?offer_id=2&aff_id=8012&url_id=238 :)
Views: 787020 Paul Programming
Python NumPy Tutorial | NumPy Array | Python Tutorial For Beginners | Python Training | Edureka
 
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( Python Training : https://www.edureka.co/python ) This Edureka Python Numpy tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what exactly is Numpy and how it is better than Lists. It also explains various Numpy operations with examples. Check out our Python Training Playlist: https://goo.gl/Na1p9G This tutorial helps you to learn following topics: 1. What is Numpy? 2. Numpy v/s Lists 3. Numpy Operations 4. Numpy Special Functions Subscribe to our channel to get video updates. Hit the subscribe button above. #Python #Pythontutorial #Pythononlinetraining #Pythonforbeginners #PythonProgramming #PythonNumpy How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Master the Basic and Advanced Concepts of Python 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs 3. Master the Concepts of Sequences and File operations 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 7. Master the concepts of MapReduce in Hadoop 8. Learn to write Complex MapReduce programs 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics 11. Master the concepts of Web scraping in Python 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 180771 edureka!
Python Numpy - 06 Creating Empty Array
 
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In this lesson, “Python Numpy – Creating Empty Array”, I discussed how you can create a Numpy Empty Array. In Numpy, you will use empty() function to create empty array. It accepts the shape of the array as a parameter and generates required array for you with No value initialized at any index. It is the responsibility of the developer to use this function carefully and get all values initialised or updated before making use of the array otherwise it could be problematic also. In this lesson, you will learn: 1. How to create single dimensional – Numpy Empty Array. 2. How to create two-dimensional – Numpy Empty Array. 3. Assigning Numpy Data Type (dtype) while creating Numpy Empty Array. 4. Checking Numpy Array Type (dtype) https://youtu.be/TIRvp8gyZAA ********************************************************************* Please subscribe to my channel: https://www.youtube.com/c/ashmanmalhotra?sub_confirmation=1 ********************************************************************* Thank you for watching my video on "Python Numpy – Array of Ones" ********************************************************************* Contact: [email protected] for training inquiries ********************************************************************* "Python Numpy Tutorials" | "Python Numpy" | "Numpy" | "Data Science" | "Data Science Using Python" | "Python Numpy – Creating Empty Array"
Views: 1519 Ashman Malhotra
Python How to Access Index in For Loop
 
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Loop through list with both content and index Python How to Access Index of List or Array in For Loop mylist = [6,8,2,5] for index, value in enumerate(mylist): print(index, value) Please Subscribe my Channel : https://www.youtube.com/channel/UC2_-PivrHmBdspaR0klVk9g?sub_confirmation=1 Python Tutorials : https://www.facebook.com/PythonTutorials/ Please Like this Page to get Latest Python, Machine Learning and Artificial intelligence Tutorials
Views: 57 OSPY
Let’s Write a Decision Tree Classifier from Scratch - Machine Learning Recipes #8
 
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Hey everyone! Glad to be back! Decision Tree classifiers are intuitive, interpretable, and one of my favorite supervised learning algorithms. In this episode, I’ll walk you through writing a Decision Tree classifier from scratch, in pure Python. I’ll introduce concepts including Decision Tree Learning, Gini Impurity, and Information Gain. Then, we’ll code it all up. Understanding how to accomplish this was helpful to me when I studied Machine Learning for the first time, and I hope it will prove useful to you as well. You can find the code from this video here: https://goo.gl/UdZoNr https://goo.gl/ZpWYzt Books! Hands-On Machine Learning with Scikit-Learn and TensorFlow https://goo.gl/kM0anQ Follow Josh on Twitter: https://twitter.com/random_forests Check out more Machine Learning Recipes here: https://goo.gl/KewA03 Subscribe to the Google Developers channel: http://goo.gl/mQyv5L
Views: 206031 Google Developers
Introduction to Pandas (Part-8) | Understanding Index and Indexing
 
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Learn the concept of Index data structure in pandas in this video. Also learn how to do indexing of dataframe and series objects. Code here: https://github.com/nikhilkumarsingh/IntroToPandas More awesome topics covered here: WhatsApp Bot using Twilio and Python: http://bit.ly/2JmZaNG Discovering Hidden APIs: http://bit.ly/2umeMHb RegEx in Python: http://bit.ly/2Hhtd6L Introduction to Numpy: http://bit.ly/2RZMxvO Introduction to Matplotlib: http://bit.ly/2UzwfqH Introduction to Pandas: http://bit.ly/2GkDvma Intermediate Python: http://bit.ly/2sdlEFs Functional Programming in Python: http://bit.ly/2FaEFB7 Python Package Publishing: http://bit.ly/2SCLkaj Multithreading in Python: http://bit.ly/2RzB1GD Multiprocessing in Python: http://bit.ly/2Fc9Xrp Parallel Programming in Python: http://bit.ly/2C4U81k Concurrent Programming in Python: http://bit.ly/2BYiREw Dataclasses in Python: http://bit.ly/2SDYQub Exploring YouTube Data API: http://bit.ly/2AvToSW Jupyter Notebook (Tips, Tricks and Hacks): http://bit.ly/2At7x3h Decorators in Python: http://bit.ly/2sdloX0 Inside Python: http://bit.ly/2Qr9gLG Exploring datetime: http://bit.ly/2VyGZGN Computer Vision for noobs: http://bit.ly/2RadooB Python for web: http://bit.ly/2SEZFmo Awesome Linux Terminal: http://bit.ly/2VwdTYH Tips, tricks, hacks and APIs: http://bit.ly/2Rajllx Optical Character Recognition: http://bit.ly/2LZ8IfL Facebook Messenger Bot Tutorial: http://bit.ly/2BYjON6 #pandas #python #tutorial
Views: 73 Indian Pythonista
Python:Numpy, ndarray boolean indexing:Urdu/Hindi
 
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Numpy and it's importance/value,Numpy Array, Numpy ndarray indexing, ndarray boolean indexing,ndarray data types,Arithmetic array operation, statistical operations using Numpy, Functions, sort,unique,union,intersection,subsets, broadcasting using Numpy in Urdu/Hindi
Views: 80 Saima Academy
NumPy Structured Arrays vs Record Arrays, NumPy Arrays Tutorial in Python Data Science
 
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In this NumPy Python Data Science Tutorial, i discuss NumPy Structured arrays and NumPy Record arrays. Structured arrays use structured data type. NumPy Structured arrays ( 1:20 ) are ndarrays whose datatype is a composition of simpler datatypes organized as a sequence of named fields. NumPy Record Arrays ( 7:55 ) use a special datatype, numpy.record, that allows field access by attribute on the structured scalars obtained from the array. NumPy is the ultimate package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, tools for integrating C/C++ and Fortran code, sophisticated (broadcasting) functions, useful linear algebra, random number capabilities and Fourier transform. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - *** Complete Python Programming Playlists *** * Complete Playlist of Python 3.6.4 Tutorial can be fund here: https://www.youtube.com/watch?v=D0FrzbmWoys&list=PLZ7s-Z1aAtmKVb0fpKyINNeSbFSNkLTjQ * Complete Play list of Python Smart Programming in Jupyter Notebook: https://www.youtube.com/watch?v=FkJI8np1gV8&list=PLZ7s-Z1aAtmIVV0dp08_X-yDGrIlTExd2 * Complete Playlist of Python Data Science https://www.youtube.com/watch?v=Uct_EbThV1E&list=PLZ7s-Z1aAtmIbaEj_PtUqkqdmI1k7libK * Complete Play List of Python Coding Interview: https://www.youtube.com/watch?v=wwtzs7vTG50&list=PLZ7s-Z1aAtmJqtN1A3ydeMk0JoD3Lvt9g - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - NumPy Data Science Essential Training introduces the beginning to intermediate data scientist to NumPy, the Python library that supports numerical, scientific, and statistical programming, including machine learning. The library supports several aspects of data science, providing multidimensional array objects, derived objects (matrixes and masked arrays), and routines for math, logic, sorting, statistics, and random number generation. You will learn how to work with NumPy and Python within Jupyter Notebook, a browser-based tool for creating interactive documents with live code, annotations, and even visualizations such as plots. Learn how to create NumPy arrays, use NumPy statements and snippets, and index, slice, iterate, and otherwise manipulate arrays. Plus, learn how to plot data and combine NumPy arrays with Python classes, and get examples of NumPy in action: solving linear equations, finding patterns, performing statistics, generating magic cubes, and more. Topics include: • Using Jupyter Notebook • Creating NumPy arrays from Python structures - https://youtu.be/69ComsKKRvA • Slicing arrays - https://youtu.be/z4vDLNMDFE4 • Using Boolean masking and broadcasting techniques - https://youtu.be/QD6IBF0Hic4 • Plotting in Jupyter notebooks • Joining and splitting arrays • Rearranging array elements • Creating universal functions • Finding patterns • Building magic squares and magic cubes with NumPy and Python - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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