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Lists and Using List Index in Python (Python for Beginners) | Part 15
 
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Enjoyed my video? Leave a like! GitHub Link: https://github.com/maxg203/Python-for-Beginners Personal Website: http://maxgoodridge.com
Views: 3590 Max Goodridge
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: 9511 Master Code Online
Alexander Müller - Spatial Range Queries Using Python In-Memory Indices
 
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When you’re working with a spatial dataset a common use case is that you need to get points of interests that are within a certain radius of a reference point, also know as spatial range queries. A standard solution for this problem is to use databases like MongoDB or Postgres which provided advanced spatial indexing capabilities. However, if you don’t have those capabilities available or you need to perform millions of queries and don’t want to add load to your production database, you need to explore other alternatives. Thus, this talk will discuss a potential remedy for this problem by showing how to use python together with some available libraries (numpy, sklearn, rtree, geohash) to enable in-memory radius searches. We will dive into some implementation details and show which methods to use for which use cases, by benchmarking them against each other. **** www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 1209 PyData
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/ 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 Tumblr - https://www.tumblr.com/blog/mycms
Views: 54383 Corey Schafer
Python Index String Method
 
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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 ====================================== Python Index String Method In this Python tutorial we will take a look at the Python index string method. The index string method is very similar to the find string method. The index string method returns a value error where the find string method returns -1 if the argument is not found. Python Index String Method Syntax 'String'.index('substring', Start Index, Stop Index) Examples Of The Python Index String Method Example 1: a = 'This is a string' Example 2: a.index('s') 3 Example 3: a.index('ing') 13 Example 4: a.index('x') Traceback (most recent call last): File "stdin", line 1, in module ValueError: substring not found Example 5: a.index('a', 7, 9) 8 Examples Explained Example 1: a = 'This is a string'- In this example we create a new string object and assign the object a variable. Example 2: a.index('s')- We call our string object and call the index string method on our string object. We provide an argument of 's' to our index string method. 3- We are returned 3 this where the first occurrence in the string object was found. Example 3: a.index('ing')- We call our string object and call the index string method on our string object. We provide an argument of 'ing' to our index string method. 8- We are returned 8 this is the first location that substring(our argument) was found. Example 4: a.index('x')- We call our string object and call the index string method on our string object. We provide an argument of 'x' to our string method. Traceback (most recent call last): File "stdin", line 1, in module ValueError: substring not found - If the substring is not found then Python returns a ValueError. Example 5: a.index('a', 7, 9) - We call our string object via the variable and then we call our index string method with the argument 'a' and we also include to two optional arguments, 7 as the starting index and 9 as the ending index. 8- Returns 8 since is the location of the occurrence. Conclusion In this tutorial we have taken a look at the Python Index String Method. If you have any questions leave a comment below.
Views: 7325 Master Code Online
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: 3990 Master Code Online
Python IndexError: list index out of range
 
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Python IndexError: list index out of range
Views: 17247 ATOM
Python Tutorial 32 - String Indexing and Negative Indexes
 
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Donate!: http://bit.ly/DonateCTVM2. This video will introduce the concept of string indexing. String indexes assign an index number to each character within a string. I will teach you the easiest way to think of indexes. Have some lemonade! More content: http://CalebCurry.com Courses for Download: http://www.udemy.com/u/calebcurry/ Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://Twitter.com/calebCurry Subscribe (it's free!): http://bit.ly/PqPyvH Amazing Web Hosting - https://www.dreamhost.com/r.cgi?1487063 (The best web hosting for a cheap price!)
Views: 2147 Caleb Curry
Unit 09 Video 7: Negative Indices
 
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Intro to Programming using Python Unit 09 Video 7: Negative Indices Instructor: John B. Schneider Description: Previously we only considered non-negative integers when accessing elements of a sequence. Here we show that one can also use negative integers to specify elements of a sequence.
Views: 1509 Digilent, Inc.
How to Find the Index of an Item given a List Containing in Python programming language
 
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In this lesson we're going to talk about that how to find the index of an item given a list containing in python programming language by using index() method.
Views: 659 nevsky.programming
Python TypeError: list indices must be integers, not str
 
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Python TypeError: list indices must be integers, not str
Views: 8926 ATOM
Unit 08 Video 4: Indexing
 
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Intro to Programming using Python Unit 08 Video 4: Indexing Instructor: John B. Schneider Description: To access the individual elements of a list, we can use explicit index as is discussed here.
Views: 2493 Digilent, Inc.
Python 72 List Index
 
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http://www.nullshell.com
Views: 1781 John Hammond
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: 106756 APMonitor.com
How to Find the Number of Elements in a List - Python - Example (len() method)
 
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In this video we'll talk about that how to find number of elements in the list, or how many objects are in the list, or how to find length of the list
Views: 578 nevsky.programming
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
Views: 883 LucidProgramming
"For Each" Loops in Python with enumerate() and range()
 
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https://dbader.org/python-tricks ► Write clean and Pythonic for, while, and "for each" loops in Python One of the easiest ways to spot a developer with a background in C-style languages who only recently picked up Python is to look at how they loop through a list. In this tutorial you'll learn how to take a "C-style" (Java/PHP/C/C++) loop and turn it into a nice and "native" Python loop. You can use these techniques to refactor your existing Python for loops and while loops in order to make them easier to read and more maintainable. You'll learn how to use Python's range()/xrange() and enumerate() built-ins to refactor your loops and to avoid having to keep track of loop indexes manually. The main takeaways in this tutorial are: • Writing C-style loops in Python is considered unpythonic. Avoid managing loop indexes and stop conditions manually if possible. • Python’s for-loops are really “for-each” loops that can iterate over items from a container or sequence directly. Read the complete tutorial at → https://dbader.org/blog/pythonic-loops To get more Python Tricks and to discover the full potential of Python check out "Python Tricks: The Book" at the link below. FREE COURSE – "5 Thoughts on Mastering Python" https://dbader.org/python-mastery PYTHON TRICKS: THE BOOK https://dbader.org/pytricks-book SUBSCRIBE TO THIS CHANNEL: https://dbader.org/youtube * * * ► Python Developer MUGS, T-SHIRTS & MORE: https://nerdlettering.com FREE Python Tutorials & News: » Python Tutorials: https://dbader.org » Python News on Twitter: https://twitter.com/@dbader_org » Weekly Tips for Pythonistas: https://dbader.org/newsletter » Subscribe to this channel: https://dbader.org/youtube
Python Access Index of List Items Using For Loop
 
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In this Python tutorial, we will go over how to access the index of list items.
Views: 416 Ryan Noonan
Python IndexError: string index out of range
 
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Python IndexError: string index out of range
Views: 4913 ATOM
Unit 09 Video 6: Sequences
 
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Intro to Programming using Python Unit 09 Video 6: Sequences Instructor: John B. Schneider Description: Sequences are a special kind of iterable where one can use an integer index to specify a particular element of the sequence. As discussed here, list, tuples, and strings are all sequences.
Views: 1742 Digilent, Inc.
Unit 08 Video 6: More on the range() "Function"
 
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Intro to Programming using Python Unit 08 Video 6: More on the range() "Function" Instructor: John B. Schneider Description: We demonstrate how the range() function can be used to generate the indices for the elements of a list.
Views: 2902 Digilent, Inc.
Python: Average Directional Index (ADX) 2 Directional Movement System Calculation
 
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This video teaches you how to calculate the Average Directional Index (ADX) in python, which is used as a part of the Directional Movement System, developed by Welles Wilder. The purpose of this series is to teach mathematics within python. To do this, we will be working with a bunch of the more popular stock indicators used with technical analysis. With most of the indicators, we will first discuss them, their purpose, then teach how to program them into python, then actually display them on a chart. The basic charting application comes from a previous tutorial series, here: http://www.youtube.com/playlist?list=PLQVvvaa0QuDcR-u9O8LyLR7URiKuW-XZq Required files: Sample Code for the actual charting parts: http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-trading/python-matplotlib-sample-code-charting-stocks-python/ Python: http://python.org Numpy: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy Matplotlib: http://matplotlib.org/downloads.html Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 2301 sentdex
PYTHON PROGRAMMING TUTORIAL: RANGE FUNCTION
 
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range(10) generates a list of 10 values, the legal indices for items of a sequence of length 10.
Views: 1 creon
Python - Looping through two Dimensional Lists
 
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How to loop through 2d lists in Python.
Big Data Analytics Tutorial #11: The Jaccard Distance ( Solved Problem)
 
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This video is about the Jaccard Distance Measure Problem
Views: 8482 Ranji Raj
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: 45 datanotfound
Python: Average True Range (ATR) 1 Mathematics and Stock Indicators
 
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This video introduces the Average True Range indicator, which is used to measure volatility of a stock. The purpose of this series is to teach mathematics within python. To do this, we will be working with a bunch of the more popular stock indicators used with technical analysis. With most of the indicators, we will first discuss them, their purpose, then teach how to program them into python, then actually display them on a chart. The basic charting application comes from a previous tutorial series, here: http://www.youtube.com/playlist?list=PLQVvvaa0QuDcR-u9O8LyLR7URiKuW-XZq Required files: Sample Code for the actual charting parts: http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-trading/python-matplotlib-sample-code-charting-stocks-python/ Python: http://python.org Numpy: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy Matplotlib: http://matplotlib.org/downloads.html Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 3756 sentdex
Python - For Loop Iterating by Sequence Index
 
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Python - For Loop Iterating by Sequence Index Watch More Videos at: https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Malhar Lathkar, Tutorials Point India Private Limited
Python: Accumulative Swing Index (ASI) 2 Mathematics and Stock Indicators
 
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This video begins to teach you how to program the Accumulative Swing Index / Swing Index into python. The purpose of this series is to teach mathematics within python. To do this, we will be working with a bunch of the more popular stock indicators used with technical analysis. With most of the indicators, we will first discuss them, their purpose, then teach how to program them into python, then actually display them on a chart. The basic charting application comes from a previous tutorial series, here: http://www.youtube.com/playlist?list=PLQVvvaa0QuDcR-u9O8LyLR7URiKuW-XZq Required files: Sample Code for the actual charting parts: http://sentdex.com/startingPoint.py Python: http://python.org Numpy: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy Matplotlib: http://matplotlib.org/downloads.html Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 2097 sentdex
More About For Loops in Python & Solutions to the Last 2 Problems (Python Tutorial #7)
 
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This entire series in a playlist: https://goo.gl/eVauVX Download the sample file: https://www.csdojo.io/python7 The courses I mentioned at the end of this video: Get Ready for Your Coding Interview: https://goo.gl/RMCaxW Introduction to Data Visualization with Python: https://goo.gl/fZ5oVX Keep in touch on Facebook: https://www.facebook.com/entercsdojo Subscribe to my newsletter: https://www.csdojo.io/news Support me on Patreon: https://www.patreon.com/csdojo
Views: 96924 CS Dojo
Python Tutorial: Arithmetic with Series & DataFrames
 
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Third video of the first chapter of our course: Merging DataFrames with pandas by Dhavide Aruliah. First chapter free: https://www.datacamp.com/courses/merging-dataframes-with-pandas As a Data Scientist, you'll often find that the data you need is not in a single file. It may be spread across a number of text files, spreadsheets, or databases. You want to be able to import the data of interest as a collection of DataFrames and figure out how to combine them to answer your central questions. This course is all about the act of combining, or merging, DataFrames, an essential part of any working Data Scientist's toolbox. You'll hone your pandas skills by learning how to organize, reshape, and aggregate multiple data sets to answer your specific questions. Let's explore various arithmetic & mathematical operations between Pandas Series & DataFrames. We load daily weather measurements for Pittsburgh from 2013. We make 'Date' the Index & we use parse_dates=True to get datetime objects. With datetime Indexes, we can use convenient strings to slice, say, the first week of July from the 'PrecipitationIn' column. The Precipitation data are in inches; let's convert them to centimeters. We use the asterisk to multiply a Series elementwise by 2.54. Remember, we can broadcast standard scalar mathematical operations. Here, broadcasting means the multiplication is applied to all entries in the DataFrame. Let's find the percentage variation in temperature in the first week of July. That is, the daily minimum & the daily maximum temperatures expressed as a percentage of the daily mean temperature. We compute this by dividing both the 'Min TemperatureF' & the 'Max TemperatureF' columns by the Mean TemperatureF column and multiplying both by 100. To begin, slice the 'Min TemperatureF' & 'Max TemperatureF' columns as a DataFrame week1_range. Next, slice the Mean TemperatureF column as a Series week1_mean. Dividing DataFrame week1_range by Series week1_mean doesn't quite work. The column labels don't match so the result has all null values. Instead, we want to use the DataFrame .divide() method with option axis='rows'. The .divide() method provides more fine-grained control than the division operator by itself. This broadcasts the Series week1_mean values across each row to produce the desired ratios. We can see the temperature range varies by at most about 10% from the mean in that week. A related computation is to compute a percentage change along a time series. We do this by subtracting the previous day's value from the current day's value and dividing by the previous day's value. The pct_change() method does precisely this computation for us. Here, we also multiply the resulting series by 100 to yield a percentage value. Notice the value in the first row is NaN because there is no previous entry. Finally, let's examine how arithmetic operations work between distinct Series or DataFrames with non-aligned indexes, which happens often in practice. We'll use Olympic medal data from 1896 to 2008. Here are the top five Bronze-medal winning countries... ...the top five Silver-medal winning countries... ... and the top five Gold-medal winning countries. All three DataFrames have the same indices for the first three rows ('United States', 'Soviet Union', & 'United Kingdom'). By contrast, the next two rows are either 'France', 'Germany', or 'Italy'. Let's compute total medals awarded to each country. We start by adding bronze and silver. Here, we add two Series of 5 rows & get back a Series with 6 rows. The index of the sum is the union of the row indices from the original two Series. Arithmetic operations between Pandas Series are carried out for rows with common index values. Since 'Germany' does not appear in silver & 'Italy' does not appear in 'bronze', those rows have NaN in the sum. On examination, we see the value 2247 for the United States row is the sum of 1052 and 1195 from the corresponding rows of the bronze & silver Series respectively. We can get the same sum bronze + silver with a method invokation using bronze.add(silver). The null values occur in the same places. The default fill value is NaN when summand rows fail to align. We can modify this behavior using the fill_value option. By specifying fill_value=0, the values of Germany & Italy are no longer null. Just as the divide() method is more flexible than the slash operator for division, the add() method is more flexible than the plus operator for addition. Adding all three series together yields six rows of output, but only three rows have non-null values. That is, 'France', 'Germany' & 'Italy' are not Index labels in all three Series, so each of those rows is NaN in the sum. We can chain multiple method calls to .add() with fill_value=0 to get rid of those null values in the triple sum. Now you can get some experience with standard arithmetic operations & methods for Series & DataFrames in the exercises.
Views: 3105 DataCamp
Technical Interview: Two Sum Problem
 
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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. This video is part of the "Technical Interview Problems" series on various problems that arise in a technical interview setting. The solutions in this series focus on the Python language. The code used in this video may be found here: https://github.com/vprusso/youtube_tutorials/blob/master/technical_interview/two_sum.py Website: http://vprusso.github.io/
Views: 747 LucidProgramming
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: 73263 Socratica
Codecademy - Python: Tutorial #15
 
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Enroll for coding exercises, projects, tutorials, and courses... http://cleverprogrammer.to/enroll Unit 7 - Lists and Functions ========================================== 0:00 -- 11. List manipulation in functions 2:33 -- 12. Printing out a list item by item in a function 15:39 -- 13. Modifying each element in a list in a function 22:04 -- 14. Passing a range into a function ============================================= This is part 15 of the Codecademy Python Walkthrough Tutorial. It covers topics like ranges, range arguments, start stop step, accessing through index, range to list, mutating list items, sum even numbers, sum odd numbers, backwards list ranges, and much more! We also step through each of the algorithms in much more detail! ======================= ABOUT PYTHON CODECADEMY SERIES ================= This is meant to guide you through the codecademy python part and it also to help you get a much better understanding of the code that you to write according to the instructions on CodeCademy.com. This will help you understand many programming concepts and the concepts that are tricky, I open up an interactive prompt and I will also ask you questions along the way to keep it more interactive for you. I believe teaching only works when you actively engage. The target audience are beginners or developers looking to pick up Python. I also emphasize the importance of writing good code and I go through the first part really fast. I will literally be going through every single thing and breaking it down for you so there is nothing for you that would be scary. You can watch me do it and you can simply follow along you will learn ALL the basics. I swear I wish something like this was out there when I started learning because everyone else explains things in such a complicated way and makes it so boring! I honestly think programming is based upon exploration and creativity rather than some mathematical/logical genius frame of mind! I spent a lot of hard work in making this so I hope you guys enjoy and learn something out of it while having fun! This is targeted towards beginners, for developers looking to learn python, or for individuals looking for a refresher on basics in computer programming!! ============================= CHANNEL INFO ============================ Clever Programmer Instagram: https://www.instagram.com/clever_prog... Website: http://www.CleverProgrammer.com This Video: https://youtu.be/wCA5_lOytXs ... ... ★☆★ LIVE 1-ON-1 CODING SESSION: ★☆★ https://goo.gl/rXohFR ★☆★ FREE Lesson 1: The Most Important Thing For a Successful Programmer★☆★ https://goo.gl/LwgTHk Enroll for coding exercises, projects, tutorials, and courses... http://cleverprogrammer.to/enroll ------------------------------------ Clever Programmer Website ► http://cleverprogrammer.to/enroll Facebook ► http://cleverprogrammer.to/facebook Twitter ► http://cleverprogrammer.to/twitter Instagram ► http://cleverprogrammer.to/instagram YouTube ► https://www.youtube.com/c/CleverProgr... Snapchat ► Rafeh1 ... Github (Code) ► http://cleverprogrammer.to/github
Views: 6131 Clever Programmer
For Loops in Python
 
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Basics of for loops in Python
Views: 415274 Khan Academy
Latest Python Interview Questions And Answers
 
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Latest Python Interview Questions and Answers for freshers and experienced. Covered Topics 1)Ten Things Python Programmers Should Know. 2)Twelve Interesting facts about Python 3)Mostly Ask Questions in Interviews Q1: What is dictionary in Python and how it is implemented internally in Python? Q2: How do you enforce ordering for a dictionary-style object ? Q3: Tell me one disadvantage of large dictionaries in Python ? Q4: Why is Python so popular despite being so slow ? Q5: How do I convert a dictionary to a list in Python ? Q6: What is GIL. How does it impact concurrency in Python? What kinds of applications does it impact more than others? Q7: Why is it so difficult to remove the Global Interpreter Lock (GIL) in python ? Q8: How memory is managed in Python ? Q9: What is the difference between list and tuple ? Q10: How does a Python interpreter work ? Q11: How pipes work in Python ? Q12: What is the difference between range and xrange, how has this changed over time ? Q13: What are different types of python? The basic difference between them ? Q14: How does garbage collection in Python work? What are the pros and cons ? Q15: why use both os.path.abspath and os.path.realpath ? Q16: Is there any difference between ' and " when coding in python ? Q17: How do you iterate over a list and pull element indices at the same time ? Q18: What are list comprehensions and dictionary comprehensions ? Q19: What is monkeypatching? How can you do it in Python ? Q20: Are arguments passed by value or by reference in Python ? Q21: Why are functions considered first class objects in Python ? Q22: What tools do you use for linting, debugging and profiling ? Q23: what is lambda expression and how it is useful with built-in function in python ? Q24: What is the difference between del() and remove() methods of list? Q25: What is the fastest way to get the min/max value in a list ? Q26: What does this stuff mean: *args, **kwargs? And why would we use it ?
Views: 905 Java for Beginners
Python Pandas Tutorial 14 | How to Change Rows and Columns Display Options in Pandas
 
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Hi guys...in this python pandas tutorial I have talked about how you can change the display option of rows and columns in jupyter notebook. This flexibility in options helps you analyze the data in much better way within the Jupyter Notebook.
Python Tutorial 18 - Indices Negativos en Tuplas y Listas
 
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Aprenderemos a utilizar los indices negativos en las tuplas y listas
Memory Profiling | Performance Optimization in Python | Memory Profiling in Python
 
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Learn Memory Profiling | Performance Optimization in Python | Memory Profiling in Python. In this Tutorial, we learn profiling and optimizing python code using Jupyter Notebook. python memory profile module is used for memory profiling.
Views: 188 TheEngineeringWorld
Sum of elements in an array (Python)
 
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Adding all the elements inside an array through the use of python programming language.
Views: 6311 cachemoney
aula 5827 python   listas removendo indices e elementos com remove del pop
 
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Bem vindos meu meu novo curso de Python, são 189 videoaulas, 102 arquivos fontes. Acesse nosso site www.informaticon.com.br, www.facebook.com/nerineitzke email: [email protected] Meu nome é Neri Neitzke, sou ator de 6.700 videoaulas. Ministro palestras gratuitas em todo o mundo. Já ministrei palestras na Colômbia, Portugal, Angola, Moçambique, Cabo Verde, Guiné-Bissau e por todo o Brasil, entrem em contato para ter uma palestra.
Views: 640 Neri Neitzke
Python 3 Tutorial - For Loops
 
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This video tutorial will help you to understand and correctly use Python 3 for loops. The demonstrated examples show - how to iterate directly over a sequence, - how to iterate over a generated sequence of indices - the len, enumerate, range, reversed and sum built in functions - the continue key word and - how to compute the average of the squares of a list of numbers. This screencast was recorded using the Kate text editor, pudb3 debugger, ipython3 shell and Kazam screencaster on Kubuntu 14.04.
Spatial Data Analysis With Python - Dillon R  Gardner, PhD
 
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PyData Berlin 2018 The explosion of geolocation sensors and spatial data has unlocked a wealth of potential for visualization and analytics. This talk provides an introduction to how to work with spatial data using the excellent python tooling. Slides: https://github.com/dillongardner/PyDataSpatialAnalysis/ --- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 345 PyData
R-Tree Indexing Video
 
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Views: 10788 Ami Vashi
41. Formatting using minimum field width - Learn Python
 
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Learn Python Formatting using minimum field width Download the Wing 101 Integrated Development Environment(IDE) - http://wingware.com/downloads/wing-101 Bitcoin Address - 1AbnaHDLG3xqmycNHKDKh1gPNst29Rkp6S Thanks 😊
Views: 310 Kakra Detome
Python lists remove pop and del
 
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pop can be used to return and remove an item from list. If you don't specific an index to remove, then it will remove last item from your list. With remove you can remove specific value from the list. Del can be used to remove multiple items or even the list itself
Views: 69 Online Skills
Swift for Loop for index and element in array
 
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Learn how to iterate over an array in Swift and grab both the index and the element of each value in the array. Download our app to learn more https://itunes.apple.com/app/id1032546737?mt=8&at=11l6eR
Views: 1170 Code Swift