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Python TypeError: list indices must be integers, not str
 
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Python TypeError: list indices must be integers, not str
Views: 10501 ATOM
How To Index and Slice List In Python 3
 
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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 - http://mastercode.online ====================================== In this Python tutorial, we will explain how to use index and slicing assignment in Python list to change the objects in a Python list.
Views: 2389 Master Code Online
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: 68924 Corey Schafer
Python Tutorial: How To Use The List Index Method in Python
 
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Python 3.7 Version - https://youtu.be/_zZcivsR3nQ In this Python tutorial, we look at how to find the index position of a object in a list using the list index method in Python.
Views: 4453 Master Code Online
MODULE-9 PYTHON TUPLE
 
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By http://www.HadoopExam.com 1. About Pythin tuple? 2. Creating tuples 3. Tuple Assignment 4. List and tuples 5. Dictionary and tuples
Views: 134 hadoop pass
Python 3 Programming Tutorial - Multi-dimensional List
 
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In this Python 3 programming tutorial, we cover the multi-dimensional list. Up until now, we have focused on single dimensional lists, but this is limiting. In programming, we are able to create lists with infinite depth. Here's how! 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: 142602 sentdex
Creating and initialising a fixed size Python list
 
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In this tutorial I look at how to create and initialise a fixed size Python list. Whilst pointing out that you should not really regard a list as fixed in size (just because the arrays of other languages are fixed in size). A Python list is similar to arrays of other languages but they are not the same. For example a list can store mixed types in its elements and a list can grow and shrink its length as expressed by the number of its elements.
Views: 419 John Philip Jones
Python TypeError: unsupported operand types for +: 'int' and 'str'
 
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Python TypeError: unsupported operand types for +: 'int' and 'str'
Views: 13289 ATOM
Python Tutorial for Beginners 5: Dictionaries - Working with Key-Value Pairs
 
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In this Python Beginner Tutorial, we will begin learning about dictionaries. Dictionaries allow us to work with key-value pairs in Python. We will go over dictionary methods, how to add and remove values, and also how to loop through the key-value pairs. Let's get started. The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-Dicts Watch the full Python Beginner Series here: https://www.youtube.com/playlist?list=PL-osiE80TeTskrapNbzXhwoFUiLCjGgY7 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: 187594 Corey Schafer
Python Tutorial: How To Concatenate in Python? #45
 
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See our full tutorial at http://learnpythontutorial.com/how-to-concatenate-in-python/ How to Concatenate in Python? In this Python tutorial, we will look at how to concatenate in Python. There are occasions when we would want to combine one or more strings together and this is called concatenation in programming. We can perform concatenation in Python by adding a plus(+) symbol between strings. When we concatenate you may want to plan ahead and add a space at the end of the first string or add a space at the beginning of the second string otherwise our strings will be combined with no space. Another solution would be to create another string that contains a space. Examples of Concatenation in Python #Combine two strings notice space in the beginning of second string 'This is the first string' + ' This is the second string' 'This is the first string This is the second string' #Adding a space in concatenation 'We can also add a space to a string like this' + ' ' + 'Now we have a space' 'We can also add a space to a string like this Now we have a space' # Concatenating variables but notice no space fix that in the next example a = 'This is the first string' b = 'This is the second string' print(a + b) This is the first stringThis is the second string #Fixing the space from the above example a = 'This is the first string' b = 'This is the second string' c = ' ' #there is a space in this string print(a + c + b) This is the first string This is the second string #How about making a new object for future use d = a + c + b print(d) This is the first string This is the second string We can not concatenate a string to any other type of object on strings. For example we cannot concatenate a string 'This is a string' + 9 this will return an error. In this case we would need to convert the 9 integer to a string for the concatenation to work. Look at the example below. a = 'This is a string' b = 9 a + b Traceback (most recent call last): File "stdin", line 1, in module TypeError: Can't convert 'int' object to str implicitly a + str(b) 'This is a string9' If you have any questions about how to concatenate in Python leave a comment below and we will help you out.
Views: 11724 Master Code Online
python TypeError: 'dict_keys' object does not support indexing
 
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python TypeError: 'dict_keys' object does not support indexing
Views: 1257 ATOM
How to Sort a Python Dictionary By Value or Key!
 
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Sentdex.com Facebook.com/sentdex Twitter.com/sentdex How to sort a dictionary within python, by key or value, even though the critics say it is not possible!
Views: 37251 sentdex
Python#5  - How to do String slicing using Positive & Negative Indexing
 
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Here I have covered both positive and negative index values of string for slicing of string.
Views: 47 Techno Guru Class
How To Repeat Objects In A Python 3 Tuple
 
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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 - http://mastercode.online ====================================== Repeating data in a Python Tuple is pretty straight but there is some important information you must remember when working with immutable objects in Python. First off we are never changing the original tuple instead we are actually creating a new Python tuple. With that being said we are not saving our newly created tuple either so we have to assign a variable to represent the tuple. We repeat the data in a Python tuple by using the asterisks or the multiplication operator. This will allow us to repeat the data in the tuple. This is similar to how we repeated strings and list. If you have any questions about repeating data in a Tuple leave a comment below and we will help you out.
Views: 1088 Master Code Online
Python Programming - Calculate the Number of Digits and Letters in a String
 
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In this video you will will learn how to Calculate the Number of Digits and Letters in a String (See the source further down) Python Program to Calculate the Number of Digits and Letters in a String ==Source Code== string=input("Enter string:") count1=0 count2=0 for i in string: if(i.isdigit()): count1=count1+1 count2=count2+1 print("The number of digits is:") print(count1) print("The number of characters is:") print(count2) ==EndCode== Program Explanation 1. User must enter a string and store it in a variable. 2. Both the count variables are initialized to zero. 3. The for loop is used to traverse through the characters in the string. 4. The first count variable is incremented each time a digit is encountered and the second count variable is incremented each time a character is encountered. 5. The total count of digits and characters in the string are printed.
Views: 125 WeMakeItEasy
Indexing List In Python
 
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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 - http://mastercode.online ====================================== Indexing List In Python In this Python tutorial, we will teach you all about indexing list in Python. Indexing list in Python is a very important concept which gives us the ability to access our objects that appear in a list. List in Python can contain a lot of information that is important in order to run our programs and having a way to access the content within a list allows us to use the content as it is needed when our program runs. Indexing allows us to access one object and slicing allows us to access numerous objects at one time. Indexing List In Python Explained [table id=9 /] In the above table, you can see the indexing of a list is very similar to indexing strings. The only difference is that in the list each object holds an index position where in strings each character holds an index position. As always the index always starts at 0 and counts up for each object contained in a list. If we want to access an object going from the end of a list(right to left), we use a negative index number. The last index position when going right to left always starts at -1. Examples Of Indexing List in Python Access Index From Left To Right a = ['List', 12345, [123, 456]] a[1] 12345 a = ['List', 12345, [123, 456]] - We create a list object that contains a string object, number object and another list object. We assign our list object a variable named 'a' to represent the list. a[1] - We call our list object via the variable 'a' then we request the index position of 1. 12345 - We are returned the 1 index positions object which happens to 12345. Access Index From Right To Left a = ['List', 12345, [123, 456]] a[-1] [123, 456] a = ['List', 12345, [123, 456]] - We create a list object and assign the list a variable of 'a'. a[-1] - We then call our list via the variable of 'a' and we then index from the right using a negative index position. Remember when indexing from the right we need to use negative numbers and the starting index position from the right is -1. [123, 456] - We are returned a list that was contained in our list object. The list object is the last object contained in the list and we used -1 to access this list object. Conclusion In this Python tutorial, we looked at accessing list using indexing which is vital in programming when using list. If we can not access our content stored in list then list would be useless. We can pull one object out of a list using indexing if we need to pull more we could index multiple times or we can use slicing which we will cover in the next tutorial. If you have any questions about indexing in Python leave a comment below. In this tutorial we use Python 3.5.0
Views: 11683 Master Code Online
Sorting in Python  ||  Learn Python Programming  (Computer Science)
 
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Sorting is a fundamental task in software engineering. In Python, there are a variety of ways to sort lists, tuples, and other objects. Today we talk about the sort() method which is an in-place algorithm for sorting lists. We also cover the sorted() function which can be used on more objects, and creates a sorted copy, leaving the original object unchanged. We were able to make this Python video with the help of our Patrons on Patreon! We would like to recognize the generosity of our VIP Patrons Matt Peters, Andrew Mengede, Martin Stephens, and Markie Ward. Thank you so much for helping us continue our work! ➢➢➢➢➢➢➢➢➢➢ To​ ​help​ us continue making videos,​ ​you​ ​can​ ​support​ Socratica at: ​Patreon​: https://www.patreon.com/socratica Socratica Paypal: https://www.paypal.me/socratica We also accept Bitcoin! :) Our​ ​address​ ​is: 1EttYyGwJmpy9bLY2UcmEqMJuBfaZ1HdG9 Thank​ ​you!! ➢➢➢➢➢➢➢➢➢➢ If you’d like a reference book, we recommend “Python Cookbook, 3rd Edition” from O’Reilly: http://amzn.to/2sCNYlZ The Mythical Man Month - Essays on Software Engineering & Project Management http://amzn.to/2tYdNeP ➢➢➢➢➢➢➢➢➢➢ You​ ​can​ ​also​ ​follow​ ​Socratica​ ​on: -​ ​Twitter:​ ​@socratica -​ ​Instagram:​ ​@SocraticaStudios -​ ​Facebook:​ ​@SocraticaStudios ➢➢➢➢➢➢➢➢➢➢ Python instructor: Ulka Simone Mohanty (@ulkam on Twitter) Written & Produced by Michael Harrison (@mlh496 on Twitter)
Views: 60218 Socratica
Python 3 - String Manipulation
 
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Learn how to manipulate strings with Python 3
Views: 20279 VoidRealms
Python 3 Tutorial: How To Use List Comprehension With Files
 
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Be sure to like, share and comment to show your support for our tutorials. ======================================= Channel - https://goo.gl/pnKLqE Playlist for Python Q & A = https://goo.gl/EyZFti Latest Video - https://goo.gl/atWRkF Facebook - https://www.facebook.com/Master-Code-Online-296389820837679/ Twitter - https://twitter.com/mastercodeonlin?lang=en Website - http://mastercode.online ====================================== Learn how how to use list comprehension with files. We will look at how to open files in Python using list comprehension along with modifying the objects in file. If you have any questions about Python list comprehension please let us know.
Views: 222 Master Code Online
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: 91128 Socratica
5. Tuples, Lists, Aliasing, Mutability, and Cloning
 
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MIT 6.0001 Introduction to Computer Science and Programming in Python, Fall 2016 View the complete course: http://ocw.mit.edu/6-0001F16 Instructor: Dr. Ana Bell In this lecture, Dr. Bell introduces compound data types, such as lists and tuples, and explains the concepts of aliasing, mutability, and cloning. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 49638 MIT OpenCourseWare
Python Tutorial: Generate Random Numbers and Data Using the random Module
 
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In this Python Programming Tutorial, we will be learning how to generate random numbers and choose random data from lists using the random module. I personally use the random module pretty often in my tutorials to generate random data. This can also be used be games, simulations, and plenty of other useful tasks. Let's get started. The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-Random 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: 61805 Corey Schafer
How To Use The List Built-in Function
 
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Python 3.7 Version - https://youtu.be/c9ka5hEwwGM 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 ====================================== List Built-in Function In this Python tutorial, we discuss the list built-in function in Python. The list built-in function will iterate through the argument and will return a list. If the function is not provided a argument then Python will return an empty list. We can only technically on iterable objects in Python. Iterable objects in Python include strings, dictionaries, list, and tuples. Integers are not iterable. List Built-in Function Syntax list(argument) List() - Either takes a argument or can be blank. If the built-in function list is not provided an argument then Python will return an empty list. argument - The argument must be an object that can be iterated. Most objects are iterable but integers and floats are not iterable. Examples of the List Built-in Function List Function On A String list('Mississippi') ['M', 'i', 's', 's', 'i', 's', 's', 'i', 'p', 'p', 'i'] list('Mississippi') - In this example, we call the list() function and provide a string argument to the function. The function will iterate through each character and insert them into a list as their own object. ['M', 'i', 's', 's', 'i', 's', 's', 'i', 'p', 'p', 'i'] - We are returned a list that contains our characters from the string argument and each character is its own object contained in a string. List Function on a List list(['Dog', 'Cat', 'Horse', 'Bunny']) ['Dog', 'Cat', 'Horse', 'Bunny'] list(['Dog', 'Cat', 'Horse', 'Bunny']) - In this example, we call the list function and provide an argument in the list format. The list function will iterate through each object in the list and return each object contained in a list. This will actually just spit back the same list in the argument. This makes no sense to call list function on a list. ['Dog', 'Cat', 'Horse', 'Bunny'] - We are returned a new list that is the exactly the same as our argument. List Function on a Dictionary list({'Color': 'Red', 'Pet': 'Dog'}) ['Color', 'Pet'] list({'Color': 'Red', 'Pet': 'Dog'}) - In this example we call the list function on a dictionary. The list function will iterate through the keys contained in a dictionary and return the keys to us in a list format. ['Color', 'Pet'] - We are returned a list that contains the keys from the Python dictionary. List Function on a Tuple list(('Dog', 'Cat', 'Rabbit')) ['Dog', 'Cat', 'Rabbit'] list(('Dog', 'Cat', 'Rabbit')) - In this example we call the list function on a tuple. The list function will iterate through the objects in tuple and return a list of those objects to us. ['Dog', 'Cat', 'Rabbit'] - We are returned a list of the objects that were contained in our tuple argument. Conclusion In this Python tutorial, we learned about the list built-in function that allows us to create list from other objects in Python. If you have any questions leave a comment below.
Views: 2718 Master Code Online
Python Tutorial: Python Numbers #24
 
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Visit our website at http://learnpythontutorial.com/python-numbers-python-tutorial-2/ Python Numbers Welcome to Python Numbers in chapter 4 of our Python Tutorials we are going to focus on numbers, math that we can perform in Python, operators used for numbers, a couple math modules and booleans. Like the previous chapter, we will go deep into the Python numbers and focus on each and every aspect of Python numbers. Python Numbers Tutorials Below you will find a list of the scheduled Python numbers tutorials. These tutorials are not set in stone and can change as we move along. Why are floating point calculations so inaccurate? Python Addition - Scheduled for 3/13/2015 Python Subtraction Python Multiplication Python Remainder Python Division Python Exponentiation Python Mixed Operators Flow Python Parenthese Flow Python Comparisons Python Fractions Python Decimals Python Sets Python Booleans Python Math Module
Views: 3086 Master Code Online
Hour of Python - Coding Challenge 5 | Gerund Slicing
 
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Try the challenge here... https://www.cleverprogrammer.com/blog/hour-of-python-coding-challenge-5-gerund-slicing Enroll for exercises, tutorials, courses, and projects... http://cleverprogrammer.to/enroll Enroll in Learn Python™ course http://cleverprogrammer.to/enroll ================================================== Connect With Me! Website ► http://cleverprogrammer.to/enroll Facebook ► http://cleverprogrammer.to/facebook Twitter ► http://cleverprogrammer.to/twitter Instagram ► http://cleverprogrammer.to/instagram Snapchat ► Rafeh1 iTunes Podcast ► http://cleverprogrammer.to/podcast Google Podcast ► http://cleverprogrammer.to/google-podcast Support (Patreon) ► http://cleverprogrammer.to/patreon Youtube ► https://www.youtube.com/c/CleverProgrammer Github (Code) ► http://cleverprogrammer.to/github TAKE THE CHANCE by Nicolai Heidlas Music https://soundcloud.com/nicolai-heidlas Creative Commons — Attribution 3.0 Unported— CC BY 3.0 http://creativecommons.org/licenses/b... Music provided by Music for Creators https://youtu.be/VTHeQM7Uc0k
Views: 3330 Clever Programmer
Programming in Swift: Core Concepts - Tuples  - raywenderlich.com
 
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Learn the basics of working in Swift 4 by way of this Swift programming course. Watch the full course over here: https://videos.raywenderlich.com/courses/90-programming-in-swift/lessons/1 --- About www.raywenderlich.com: raywenderlich.com is a website focused on developing high quality programming tutorials. Our goal is to take the coolest and most challenging topics and make them easy for everyone to learn – so we can all make amazing apps. Update course: https://videos.raywenderlich.com/courses/58-beginning-spritekit/lessons/1 We are also focused on developing a strong community. Our goal is to help each other reach our dreams through friendship and cooperation. As you can see below, a bunch of us have joined forces to make this happen: authors, editors, subject matter experts, app reviewers, and most importantly our amazing readers! --- Swift Tuples: (https://developer.apple.com/library/content/documentation/Swift/Conceptual/Swift_Programming_Language/TheBasics.html) Swift is a new programming language for iOS, macOS, watchOS, and tvOS app development. Nonetheless, many parts of Swift will be familiar from your experience of developing in C and Objective-C. Swift provides its own versions of all fundamental C and Objective-C types, including Int for integers, Double and Float for floating-point values, Bool for Boolean values, and String for textual data. Swift also provides powerful versions of the three primary collection types, Array, Set, and Dictionary, as described in Collection Types. Like C, Swift uses variables to store and refer to values by an identifying name. Swift also makes extensive use of variables whose values can’t be changed. These are known as constants, and are much more powerful than constants in C. Constants are used throughout Swift to make code safer and clearer in intent when you work with values that don’t need to change. In addition to familiar types, Swift introduces advanced types not found in Objective-C, such as tuples. Tuples enable you to create and pass around groupings of values. You can use a tuple to return multiple values from a function as a single compound value. Swift also introduces optional types, which handle the absence of a value. Optionals say either “there is a value, and it equals x” or “there isn’t a value at all”. Using optionals is similar to using nil with pointers in Objective-C, but they work for any type, not just classes. Not only are optionals safer and more expressive than nil pointers in Objective-C, they’re at the heart of many of Swift’s most powerful features. Tuples group multiple values into a single compound value. The values within a tuple can be of any type and don’t have to be of the same type as each other. In this example, (404, "Not Found") is a tuple that describes an HTTP status code. An HTTP status code is a special value returned by a web server whenever you request a web page. A status code of 404 Not Found is returned if you request a webpage that doesn’t exist. let http404Error = (404, "Not Found") // http404Error is of type (Int, String), and equals (404, "Not Found") The (404, "Not Found") tuple groups together an Int and a String to give the HTTP status code two separate values: a number and a human-readable description. It can be described as “a tuple of type (Int, String)”. You can create tuples from any permutation of types, and they can contain as many different types as you like. There’s nothing stopping you from having a tuple of type (Int, Int, Int), or (String, Bool), or indeed any other permutation you require. You can decompose a tuple’s contents into separate constants or variables, which you then access as usual: let (statusCode, statusMessage) = http404Error print("The status code is \(statusCode)") // Prints "The status code is 404" print("The status message is \(statusMessage)") // Prints "The status message is Not Found" If you only need some of the tuple’s values, ignore parts of the tuple with an underscore (_) when you decompose the tuple: let (justTheStatusCode, _) = http404Error print("The status code is \(justTheStatusCode)") // Prints "The status code is 404" Alternatively, access the individual element values in a tuple using index numbers starting at zero: print("The status code is \(http404Error.0)") // Prints "The status code is 404" print("The status message is \(http404Error.1)") // Prints "The status message is Not Found" Tuples are particularly useful as the return values of functions. A function that tries to retrieve a web page might return the (Int, String) tuple type to describe the success or failure of the page retrieval. By returning a tuple with two distinct values, each of a different type, the function provides more useful information about its outcome than if it could only return a single value of a single type.
Views: 999 raywenderlich.com
NumPy Python Tutorial 2018 - Part 1 | NumPy and Pandas Tutorial | NumPy Tutorial 2018 | NumPy
 
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NumPy Python Tutorial 2018 - Part 1 | NumPy and Pandas Tutorial | NumPy Tutorial 2018 | NumPy https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=zpio5niKgiA&campaign=youtube_channel&utm_source=youtube&utm_medium=numpy-python-tut-1&utm_campaign=youtube_channel Hello and welcome to NumPy python tutorial powered by Acadgild. Let’s start with NumPy basics. There are basic libraries which are really important for the data manipulation. So, first is ‘NumPy’ that is nothing but numeric python and then there is ‘pandas’ and then there is ‘scipy’. So, these three are the basic libraries which are very important for you to learn and these two things are very related the NumPy and pandas they are the core structure to handle the data. So, you need to understand NumPy and pandas when you are going to deal with the data. What is NumPy? NumPy is nothing but provides all the libraries to deal with the linear algebra. • NumPy, which stands for Numerical Python • NumPy is the foundational package for mathematical computing • Mathematical and logical operations on arrays • Operations related to linear algebra. NumPy has inbuilt functions for linear algebra and random generation • ndarray is the core object in NumPy Basics ndarray • Multidimensional array • Homogeneous collection of values • Fast and efficient • Support for mathematical functions • Primary container for data exchange between python algorithms Important attributes of an ndarray object are: • Ndarray.ndlm: the number of axes (dimensions) of the array, the number of dimensions is referred to as rank • Ndarray.shape: the dimensions of the array. This is tuple of integers indicating the size of the array in each dimension. For a matrix within rows and m columns, the shape will be (n,m) • Ndarray.size: the total number of elements of the array.this is equal to the product of the elements of shape • Ndarray.dtype: an object describing the type of the elements in the array #numpy, #numpytutorial, #pythontutorial, #numpypandas Kindly, go through the execution part and learn more about NumPy. Please like share and subscribe the channel for more such video. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 7595 ACADGILD
Python Tutorial v3.2.5 Lesson 23.6 - List Methods (2 of 2)
 
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1:19 Skip the Introduction to Lesson 23.6 2:01 Skip to an example of the .sort() method. 3:17 Skip to an example of the .insert(index, value) method. 5:46 Skip to an example of the .count(value) method. 6:44 Skip to an example of the .index(value) method. 8:09 Skip to an example of the random.shuffle(list) method. 9:51 Skip to an example of the value in list format. There is no Challenge Program for Lesson 23.6 Lesson 23.6 is part of a short series of videos that introduces list methods. List methods are called on the list data type (most commonly stored in a variable) that allow us to add, change, and manipulate the list. In prior lessons, we reviewed how to access elements of a list through their index location and even change their value. Methods addressed in part 1 add new functionality, such as adding new elements to a list (as opposed to changing values that already exist), removing items from a list, returning items from a list, and reversing the order of the list. Methods addressed in part 2 add functionality such as alphabetizing and sorting a list, inserting items to the middle of the list, and even randomizing objects in a list. This is an introductory series of Python tutorials. This course, from start to finish, is designed to help someone who has never programmed before learn the basics of coding in Python. As this series continues, we examine more advanced Python techniques, functions, and methods. You can download a copy of Python from http://www.python.org/downloads/. Keep in mind this tutorial is using an older version of Python, v3.2.5. You will need to click on the "View Older Releases" button to use this specific version. Using the newer versions will not be an issue at this point, but when the lesson proceeds to basic graphics, the Pygame Module we'll use does not support v3.3+ at this time.
Python Tutorial: Python String Basics - Python Basics #10
 
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In this Python Tutorial we talk about Python String Basics visit our website for more info - http://learnpythontutorial.com/python-string-basics-python-tutorial/ If you have any questions about this Python tutorial leave a comment we will help your out. Do not forget to subscribe we post a new Python tutorial daily so you will not want to miss it. Our website has the full Python Tutorial. In today's Python tutorial, we are going to take a gander at an alternate critical information sort that we utilize regularly as a part of Python. We are going to concentrate on an information sort called a string. A string is a succession of information like content or a gathering of bytes. In this tutorial, we are going to just be concentrating on a prologue to the Python string. We will dive deeper into strings in part 4 of this arrangement. What is a String? A string contains a rundown of characters in a particular order(sequence). The characters in a string can be letters, numbers, uncommon characters like images and spaces. Strings have no restriction on to what extent they may be and you might likewise take a string that contains no characters this is known as a "void string". What is the Python String Syntax? The linguistic structure of a string in Python is truly basic. We make a string by encasing characters in quotes which can be single quotes, twofold quotes or triple quotes. Which strategy you utilize is totally up to you. Through out the tutorials I will be utilizing single quotes for the majority of the tutorials aside from when certain circumstances emerge where single quotes are not the best choice. Python String Syntax 'This is a string in Python' "This is a string in Python" '''This is a string in Python''' """This is a string in Python""" We can not begin with single quote and end with a twofold quote. We must begin and end with same kind of quote.
Views: 10664 Master Code Online
Introduction To Lists In Python (Python Tutorial #4)
 
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How to use Python lists. This entire series in a playlist: https://goo.gl/eVauVX Keep in touch on Facebook: https://www.facebook.com/entercsdojo Download the sample file: https://www.csdojo.io/python4 Subscribe to my newsletter: https://www.csdojo.io/news Support me on Patreon: https://www.patreon.com/csdojo
Views: 295601 CS Dojo
Python Tutorial v3.2.5 Lesson 23.1 - List Data Type Introduction (1 of 2)
 
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1:38 Skip the introduction to Lesson 23.1 5:01 Skip to the use of the min(), max(), and sum() functions. 7:19 Skip to using index notation to access list elements. There is no Challenge Program for Lesson 23.1 Lesson 23.1 introduces the List data type. Lists are created by using brackets [] and separating items in the list with a comma. Each item in a list is referred to as an element of the list. These elements can by integers, floats, strings, or any other data type. In addition, lists can hold multiple data types at ones (such as number and strings together). Lists are among the most useful of all the data types and all advanced programs will use lists. This lesson focuses mainly on demonstrating list properties through the Python shell. Future videos will focus more on the application of lists rather than singular properties. Due to the length of this video, it has been separated into 2 parts. This is an introductory series of Python tutorials. This course, from start to finish, is designed to help someone who has never programmed before learn the basics of coding in Python. As this series continues, we examine more advanced Python techniques, functions, and methods. You can download a copy of Python from http://www.python.org/downloads/. Keep in mind this tutorial is using an older version of Python, v3.2.5. You will need to click on the "View Older Releases" button to use this specific version. Using the newer versions will not be an issue at this point, but when the lesson proceeds to basic graphics, the Pygame Module we'll use does not support v3.3+ at this time.
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: 185009 ProgrammingKnowledge
Concatenating and Repeating List
 
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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 - http://mastercode.online ====================================== Concatenating and Repeating List In this Python instructional exercise, we will concentrate on Concatenating and Repeating List in Python which will offer us some assistance with speeding up time we spend programming. On the off chance that we can join the list together which is call concatenation or repeat list we won't have to compose these list out. Concatenation and repeating list is the very same we did with strings. We utilize the in addition to image to link list and we utilize the reference bullets to increase the list in Python. Concatenating List In Python We can join two or more lists together utilizing concatenation as a part of Python. We connect utilizing the in addition to (+) between two or more lists. The concatenation of the list will give back another list object. To better comprehend concatenation in Python investigate our samples underneath. Samples of List Concatenation In Python a = [1, 2, 3, 4, 5] b = [6, 7, 8, 9, 10] a + b [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] a = [1, 2, 3, 4, 5] - In this sample we make a list protest that is spoken to by the variable 'a'. b = [6, 7, 8, 9, 10] - We likewise make another list protest yet this one will be spoken to by the variable 'b'. a + b - We call both our list one is spoken to by the variable of "an" and the other spoke to by 'b'. We then utilize the concatenation administrator to train Python to consolidate the two list together. [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] - We are given back another list protest that contains our two list which were consolidated utilizing list concatenation. Repeating List in Python We can repeat list utilizing the augmentation image which is known as the reference bullets. When we repeat list we are given back another list question that contains the repeated list objects in one list object. Cases Of Repeating List in Python a = [1, 2, 3, 4, 5] a * 2 [1, 2, 3, 4, 5, 1, 2, 3, 4, 5] a = [1, 2, 3, 4, 5] - We make another list item and we utilize the variable of "a" to speak to our list object. a * 2 - We take our list protest and utilize the repeat administrator which is alluded to as a reference marks. We then incorporate the number 2 to show that we need to repeat the list twice. [1, 2, 3, 4, 5, 1, 2, 3, 4, 5] - We are given back a list item which has been repeated twice. Conclusion In this Python instructional exercise, we have taken a gander at concatenating list in Python and repeating list in Python. In the event that you have any inquiries concerning concatenating and repeating list in Python, please leave a remark underneath. Python 3.5.0 was used in this instructional exercise.
Views: 1373 Master Code Online
Python Programming Language | Data Types | Booleans, Lists Commands in Python | Lecture 3 |Continued
 
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Python Programming Language: Computer Applications Python Programming Language | Data Types | Booleans, Lists Commands in Python | Lecture 3 | Continued Review: In the previous video, we had seen Python Coding: • Launching of Anaconda navigator • Jupyter notebook used for the presentation Primary Data Types • Integers • Decimal Number - floats • Strings In the current video we will see two more data types: • Booleans • Lists Open Jupyter Qt Console, it is one of the products which come along with Anaconda. Boolean:- • Boolean variable is a statement that can be either true or false. • Boolean variables are usually used for comparison • The comparison symbols used are as follows: o Less than o Less than & Equal o Greater than o Greater than & Equal o Equal to o Not Equal to • These will become very handy when we use IF statement, and the For Loops • Logical Arguments “And”, “Or” and “Not” are also introduced here. Illustration of these commands in the programs: Lists:- • A list is a sequence of objects; they do not necessarily have to be numbers Illustration of List in a program Illustration of 2 lists in a program and concatenation of two lists Range command:- • One way to create a list in Python is using the Range command, which is very common in Python. • Illustration of different ways of using the Range command to create List Slicing:- • Slicing works with List as it works with string, which we saw in the previous video – limiting the list to a certain value Illustration of slicing • We can change the elements in a list using this • Multiple elements can be changed simultaneously • We can also check if an element is present in the list • This will be helpful when we use IF Statement and For Loop • We can have list of Lists Methods that go with the list:- d.append d.count d.extend d.index d.insert d.pop d.remove d.reverse d.sort . Video by Edupedia World (www.edupediaworld.com), Free Online Education; Download our App : https://goo.gl/1b6LBg Click here https://goo.gl/HjNegN to watch more videos on Python Programming Language- Complete Tutorial; All Rights Reserved.
Views: 116 Edupedia World
Python for Beginners 3 | about Python IDE
 
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Views: 1382 T3SO Tutorials
Python For Beginners Tutorial - Lists
 
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In this video, we are going to learn about lists, how to make list objects, print each element, range of elements, concatenate multiple lists and repeatedly print lists.
Views: 47 datanotfound
Python Tutorial v3.2.5 Lesson 23.2 - List Data Type Introduction (2 of 2)
 
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0:54 Skip the introduction to Lesson 23.2 3:57 Watch an example of pulling random items from a list. 6:11 See examples of using the len() function in list randomization. 10:37 Skip to the Lesson 23.2 Challenge Program. Lesson 23.2 introduces the List data type. Lists are created by using brackets [] and separating items in the list with a comma. Each item in a list is referred to as an element of the list. These elements can by integers, floats, strings, or any other data type. In addition, lists can hold multiple data types at ones (such as number and strings together). Lists are among the most useful of all the data types and all advanced programs will use lists. This lesson focuses mainly on demonstrating list properties through the Python shell. Future videos will focus more on the application of lists rather than singular properties. Due to the length of this video, it has been separated into 2 parts. This is an introductory series of Python tutorials. This course, from start to finish, is designed to help someone who has never programmed before learn the basics of coding in Python. As this series continues, we examine more advanced Python techniques, functions, and methods. You can download a copy of Python from http://www.python.org/downloads/. Keep in mind this tutorial is using an older version of Python, v3.2.5. You will need to click on the "View Older Releases" button to use this specific version. Using the newer versions will not be an issue at this point, but when the lesson proceeds to basic graphics, the Pygame Module we'll use does not support v3.3+ at this time.
Python Lists
 
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Understanding the basics of lists in Python
Views: 326945 Khan Academy
Learn Python - Full Course for Beginners
 
04:26:52
This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time! ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (1:45) Installing Python & PyCharm ⌨️ (6:40) Setup & Hello World ⌨️ (10:23) Drawing a Shape ⌨️ (15:06) Variables & Data Types ⌨️ (27:03) Working With Strings ⌨️ (38:18) Working With Numbers ⌨️ (48:26) Getting Input From Users ⌨️ (52:37) Building a Basic Calculator ⌨️ (58:27) Mad Libs Game ⌨️ (1:03:10) Lists ⌨️ (1:10:44) List Functions ⌨️ (1:18:57) Tuples ⌨️ (1:24:15) Functions ⌨️ (1:34:11) Return Statement ⌨️ (1:40:06) If Statements ⌨️ (1:54:07) If Statements & Comparisons ⌨️ (2:00:37) Building a better Calculator ⌨️ (2:07:17) Dictionaries ⌨️ (2:14:13) While Loop ⌨️ (2:20:21) Building a Guessing Game ⌨️ (2:32:44) For Loops ⌨️ (2:41:20) Exponent Function ⌨️ (2:47:13) 2D Lists & Nested Loops ⌨️ (2:52:41) Building a Translator ⌨️ (3:00:18) Comments ⌨️ (3:04:17) Try / Except ⌨️ (3:12:41) Reading Files ⌨️ (3:21:26) Writing to Files ⌨️ (3:28:13) Modules & Pip ⌨️ (3:43:56) Classes & Objects ⌨️ (3:57:37) Building a Multiple Choice Quiz ⌨️ (4:08:28) Object Functions ⌨️ (4:12:37) Inheritance ⌨️ (4:20:43) Python Interpreter Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter - https://twitter.com/mike_dane 🔗If you liked this video, Mike accepts donations on his website: accept donations on my website: https://www.mikedane.com/contribute/ ⭐️Other full courses by Mike Dane on our channel ⭐️ 💻C: https://youtu.be/KJgsSFOSQv0 💻C++: https://youtu.be/vLnPwxZdW4Y 💻SQL: https://youtu.be/HXV3zeQKqGY 💻Ruby: https://youtu.be/t_ispmWmdjY 💻PHP: https://youtu.be/OK_JCtrrv-c 💻C#: https://youtu.be/GhQdlIFylQ8 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
Views: 3507687 freeCodeCamp.org
Solving Algorithms (Python) Round 2
 
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Solved 85 algorithms 20 CodeWars(7kyu), 10 InterviewCake, 5 LeetCode, 5 Firecode, 2 CTCI, 3 random (Happy Numbers, Lucky Numbers, return index...) Twitter: @colorfulcodes
Views: 66 Colorful Codes
Python Tutorial 2016 Lesson 1.2 - The range() Function
 
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Lesson 1.2 in the second version of the Python Tutorial Series continues evaluating for loops in Python. This time, we look at how the range() function can be used to control how many times a for loop executes and how the integers that range() returns can be used with index locations to fine tune iterations over string values. This is an introductory series of Python tutorials. This course, from start to finish, is designed to help someone who has never programmed before learn the basics of coding in Python. As this series continues, we examine more advanced Python techniques, functions, and methods. You can download a copy of Python from http://www.python.org/downloads/. Keep in mind this tutorial is using an older version of Python, v3.2.5. You will need to click on the "View Older Releases" button to use this specific version. Using the newer versions will not be an issue at this point, but when the lesson proceeds to basic graphics, the Pygame Module we'll use does not supports v3.2.5 only.
Python remove all duplicate values from a list
 
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This video is a short tutorial on how to remove duplicate values from a list in python. Feel free to ask any questions below.
Views: 4940 Joshua Weinstein
Python 3 Programming Tutorial [12] If statement (Conditions and branching)
 
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This script can be found at www.yourcommunityproject.com filed in the forum section as Program Index[12]. You can copy and paste the code from the forums directly into your own file. This tutorial is over branching and the if statement, a short introduction to initial setup. Next tutorial will be over else statements thanks for yall's support!
Views: 214 AxeHead Games
Python Tutorial v3.2.5 Lesson 16.1 - Modular Arithmetic and Number Sorting
 
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2:02 Skip the Introduction to Lesson 16.1. 11:39 Skip to the Lesson 16.1 Challenge Program Lesson 16.1 provides a more practical use of modular arithmetic, including use of integer division and the modulo operator. This lesson takes numbers and sorts larger numbers into their correct places (ones, tens, hundreds, etc.) so that they can be manipulated in ways otherwise inaccessible. Finally, a challenge program will use these concepts and random generation to create a small game centered on these concepts. This is an introductory series of Python tutorials. This course, from start to finish, is designed to help someone who has never programmed before learn the basics of coding in Python. As this series continues, we examine more advanced Python techniques, functions, and methods. You can download a copy of Python from http://www.python.org/downloads/. Keep in mind this tutorial is using an older version of Python, v3.2.5. You will need to click on the "View Older Releases" button to use this specific version. Using the newer versions will not be an issue at this point, but when the lesson proceeds to basic graphics, the Pygame Module we'll use does not support v3.3+ at this time.
TOP 25 PYTHON INTERVIEW QUESTIONS
 
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Top 25 Python Interview Questions: --------------------------------- 1) What is Python ? What are the benefits of using Python ? 2) What is PEP 8 ? 3) What is pickling and unpickling ? 4) How Python is interpreted ? 5) How memory is managed in Python ? 6) What are the tools that help to find bugs or perform static analysis ? 7) What are Python decorators ? 8) What is the difference between list and tuple ? 9) How are arguments passed by value or by reference ? 10) What is Dict and List comprehensions are ? 11) What are the built-in type does python provides ? 12) What is namespace in Python ? 13) What is lambda in Python ? 14) Why lambda forms in python does not have statements ? 15) What is pass in Python ? 16) In Python what are iterators ? 17) What is unittest in Python ? 18) In Python what is slicing ? 19) What are generators in Python ? 20) What is docstring in Python ? 21) How can you copy an object in Python ? 22) What is negative index in Python ? 23) How you can convert a number to a string ? 24) What is the difference between Xrange and range ? 25) What is module and package in Python ?
Views: 60 Interview Dot
Tutorial 5: Strings in python. [Delimiters; String concatenation]
 
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Strings in python 3. String data type in python. String concatenation; Delimiters; Strings; Python 3.6.0; This is the fifth video in the python programming series in which we are going learn about the string data type in python. This series is designed for people who have never programmed before, to learn the basics of coding in Python. As this series continues, we'll learn more advanced Python techniques. Keep in mind that this series is using Python 3.6.0, but using the newer versions should not be an issue.
How to Sort CSV files and lists in Python
 
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This is a tutorial concerning how to sort CSV files and lists easily within python by column. The logic possibly by programming plus the simplicity of being able to sort columns makes python a superb choice for managing CSV documents and lists that are delimited by something. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 45246 sentdex
Python Tutorials for Beginners - Learn Python Online
 
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Looking for Python tutorials for beginners? Watch this video to learn Python online. 🔥Subscribe for more Python tutorials for beginners: https://goo.gl/6PYaGF 🔥Get my COMPLETE Python course with a BIG discount: https://goo.gl/AVb6Uq - Python Exercises for Beginners: https://goo.gl/1XnQB1 - Python 3 Cheat Sheet: https://goo.gl/Jeu29b Want to learn more from me? Check out my blog and courses: http://programmingwithmosh.com https://www.facebook.com/programmingwithmosh/ https://twitter.com/moshhamedani These days everybody is learning Python 3 because it’s the most popular programming language. If you’re looking for a Python course that teaches you the fundamentals of Python, you’ve come to the right place. This video shows you Python applications as well as python salaries. If you’re looking for a programming job to make more money, Python is the best programming language to learn first. TABLE OF CONTENT 00:00:00 What is Python? 00:03:22 Installing Python 00:05:15 Python Interpreter 00:07:12 Code Editors 00:08:32 Your First Python Program 00:12:11 Python Extensions 00:15:04 Linting Python Code 00:19:20 Formatting Python Code 00:23:16 Running Python Code 00:26:17 Quiz 00:28:41 Variables 00:31:48 Variable Names 00:34:52 Strings 00:40:24 Escape Sequences 00:43:06 Formatted Strings 00:45:16 String Methods 00:51:13 Numbers 00:54:01 Working with Numbers 00:56:12 Type Conversion 01:01:18 Quiz 01:04:03 Comparison Operators 01:06:09 Conditional Statements 01:10:20 Ternary Operator 01:12:31 Logical Operators 01:16:35 Short-circuit Evaluation 01:18:44 Chaining Comparison Operators 01:20:08 Quiz 01:21:53 For Loops 01:25:32 For..Else 01:28:21 Nested Loops 01:31:07 Iterables 01:34:17 While Loops 01:39:18 Infinite Loops 01:40:57 Exercise 01:43:04 Defining Functions 01:45:30 Arguments 01:47:53 Types of Functions 01:51:57 Keyword Arguments 01:53:59 Default Arguments 01:55:36 *args 01:59:53 **args 02:02:15 Scope 02:07:26 Debugging 02:14:18 VSCode Coding Tricks (Windows) 02:16:41 VSCode Coding Tricks (Mac) 02:18:32 Exercise 02:20:03 Solution
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CS50 2018 - Lecture 6 - Python
 
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00:00:00 - Introduction 00:00:50 - Week 5 Recap 00:13:01 - resize.py 00:16:52 - Python Syntax 00:23:48 - Interpreting vs. Compiling 00:26:52 - hello.py 00:29:54 - string0.py 00:33:02 - string1.py 00:35:00 - ints.py 00:38:26 - floats.py 00:42:58 - overflow.py 00:46:26 - conditions.py 00:48:53 - answer.py 00:50:57 - cough0.py 00:51:40 - cough1.py 00:52:19 - cough2.py 00:57:01 - cough3.py 01:01:26 - positive.py 01:06:51 - capitalize2.py 01:11:46 - strlen.py 01:15:51 - argv0.py 01:18:39 - argv1.py 01:20:26 - swap.py 01:22:58 - list.py 01:27:22 - struct0.py 01:32:38 - mario0.py 01:33:28 - mario1.py 01:34:45 - mario2.py 01:35:22 - mario3.py 01:37:57 - resize.py, continued 01:42:36 - dictionary.py
Views: 10799 CS50