Python CSV library provides the functionality to read and write CSV files. It is specifically designed to work out of the box with Excel-generated CSV files; it is effortless to work with a variety of CSV formats.
Exchanging information through text files is the standard way to share info between programs and one of the most popular formats for transferring data in the CSV format.
You don’t need to build your own CSV parser from scratch. There are acceptable standard libraries you can use.
In this post, you will learn how to read, process, and parse the CSV files using Python. You will see how CSV files work, learn the all-important CSV library built into Python.
CSV(Comma Separated Values) files are used to store a large number of variables or data. They are incredibly simplified spreadsheets think Excel, only the content is stored in plaintext. Python CSV module is a built-in function that allows Python to parse these types of files.
#python #python csv
In this Python tutorial, we will learn how to deal with text files in Python using the built-in open function. You will understand how to use the most important modes: read, write and append.
That’s not all! We will discuss about file parsing and touch important string methods used for that such as: strip( ) and split( ). Finally we wrap up with a parsing file exercise to practice the new concepts. After that video you will be confident to deal with text files which is a very important skill to have as a programmer.
Playlist: Intermediate Python Tutorials | Video #2
Access the codes here: https://github.com/rscorrea1/youtube.git
00:00 - Summary of the video
00:17 - Types of files
00:43 - How to open a file
01:17 - File modes
02:15 - How to read data from a file
03:00 - with statement
04:10 - readlines( ) method
05:05 - String: strip( ) method
06:22 - How to iterate over a file line by lin
08:47 - How to write data to a file
11:43 - How to append data to a file
12:37 - Exercise: Parsing a text file
16:14 - Converting data types
17:00 - Next video announcement
Photo by Mario Ho on Unsplash
#reading #writing #python #intermediate python tutorial #reading and writing to files in python
https://loizenai.com Programming Tutorial
How to read/write CSV files in Python
In this tutorial, we’re gonna look at way to use
csv module to read, write CSV files in Python program.
Title,Category,Date Python String methods,Python,12/27/2018 How to iterate over a List in Java,Java,12/21/2018 Kotlin List functions,Kotlin,12/19/2018
Instead of commas, cells could be separated with tab characters:
Title Tags Date Python String methods python, string 12/27/2018 How to iterate over a List in Python python, list 12/21/2018 Python List functions python, list 12/19/2018
CSV file is simple than Excel spreadsheet because it doesn’t have:
csvmodule - open CSV file using
open()function - create a
Readerobject that lets you iterate over rows - access values in the
Readerobject by: + convert it to a plain Python list using
list()function + use for-loop (avoid loading the entire file into memory at once)
# cells are separated with commas >>> import csv >>> gkzFile = open('grokonez.csv') >>> csvReader = csv.reader(gkzFile) >>> gkzTuts = list(csvReader) >>> gkzTuts [['Title', 'Category', 'Date'], ['Python String methods', 'Python', '12/27/2018'], ['How to iterate over a List in Java', 'Java', '12/21/2018'], ['Kotlin List functions', 'Kotlin', '12/19/2018']] >>> gkzTuts # data[row][col] 'Title' >>> gkzTuts 'Category' >>> gkzTuts 'Date' >>> gkzTuts 'How to iterate over a List in Java' >>> gkzTuts 'Java' >>> gkzTuts '12/21/2018'
cells are separated with ‘tab’ characters
gkzFile = open(‘grokonez.csv’)
csvReader = csv.reader(gkzFile, delimiter=‘\t’)
gkzTuts = list(csvReader)
[[‘Title’, ‘Tags’, ‘Date’], [‘Python String methods’, ‘python, string’, ‘12/27/2018’], [‘How to iterate over a List in Python’, ‘python, list’, ‘12/21/2018’], [‘Python List functions’, ‘python, list’, ‘12/19/2018’]]
‘How to iterate over a List in Python’
Readerobject only once.
How to read/write CSV files in Python
#python #csv #read #write
No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
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You are working on a purchasing team and you want to check your sales and inventory, the pending orders you might have, where you need to place new orders and what are the products that need your attention as they are slow movers.
After you have done all the downloading, the processing and evaluation, you need to send to another colleague a file by email, that has all the products, split by supplier and volume to be ordered per different sheet and you need a separate excel file with the products that you have stock greater than 4 weeks, ordered by the top 20 cost value, in order to create a plan of push their sales or return them back to supplier.
#excel #python #python-beginner #excelython — part 4: read excel files in python #excelython #read excel files in python
Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.
In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.
Heres a solution
Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.
But How do we do it?
If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?
The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.
There’s a variety of hashing algorithms out there such as
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