1629706224
Should you suffer knee pain the final factor you need to hear is that you'll want to endure knee surgery. Fortunately knee surgical treatment is now treated like a last measure and you will find other treatments to relieve knee joint pain signs and symptoms.
Sometimes the very best pain treatment may also be the easiest. The straightforward factor for example altering your posture or ceasing a specific activity could be all that's required. Within my situation it had been using orthotics that led to complete pain relief. All of this did ended up being to slightly change generate income walk which altered how my knee was working and it will be history. I am now back running. Obviously, it isn't always that simple get it now..
Many people find utilizing a knee brace could be a great knee pain reliever. The brace works similarly to orthotics inside your footwear for the reason that it changes and corrects how a knee moves and in some cases can help to eliminate knee joint pain greatly.
Within the medicinal world there are several impressive knee joint pain relief products. One that's broadly utilized in treating knee pain and for other kinds of pain is corticosteroid injections. Within this treatment the knee is injected directly using the medication. Although not often permanent, lots of people get respite from their knee and joint pain which lasts sometimes many several weeks. It might not be appropriate for each patient. Your medical specialist or specialist will advise when the procedure could be of great benefit.
There's also creams which in some instances could be effective knee pain treatments. Again they are certainly not appropriate to deal with all kinds of knee pain but could work pain treatment oftentimes. Thee creams derive from cetylated essential fatty acids. There has been studies which have proven creams like these can be quite effective with higher results happening rapidly and ongoing with ongoing utilisation of the knee pain relief cream. One particular cream is known as Celadrin.
Everyone knows that as we grow older joint pain be likely and since our knees are subject to numerous stress, especially if you have been active, knee joint pain are extremely likely. However, in this point in time, there is no need to endure the pain connected with knee joint pain.
Whether or not the pain inside your knee is because joint disease there's usually a means of treating the it. It's important, for those who have sore knee joints to see together with your physician who will be able to point you within the right direction whether it's to see a feet specialist for orthotics or perhaps a brace, utilization of a cream or supplement in order to visit a specialist for any more difficult treatment.
If memory foam knee surgical treatment is suggested, with the advances in medicine and technology, the outcomes could be simply miraculous and the idea of knee joint surgery shouldn't scare you. Keep in mind that knee surgical treatment is a final resort and you will find a number of other non-surgical options to provide you with respite from knee pain.
1642598622
Hello. I'd like to share my experience because I know this problem. I've tried various treatments. I can tell you that the exercises won't change the deformity of the knee, but will help reduce the functional problems associated with the deformity. You need to read more about this on https://myknockkneefix.com/ if you want to get rid of knocking knees. I also advise against sports such as running, tennis, basketball or football.
1647351133
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1657081614
In this article, We will show how we can use python to automate Excel . A useful Python library is Openpyxl which we will learn to do Excel Automation
Openpyxl is a Python library that is used to read from an Excel file or write to an Excel file. Data scientists use Openpyxl for data analysis, data copying, data mining, drawing charts, styling sheets, adding formulas, and more.
Workbook: A spreadsheet is represented as a workbook in openpyxl. A workbook consists of one or more sheets.
Sheet: A sheet is a single page composed of cells for organizing data.
Cell: The intersection of a row and a column is called a cell. Usually represented by A1, B5, etc.
Row: A row is a horizontal line represented by a number (1,2, etc.).
Column: A column is a vertical line represented by a capital letter (A, B, etc.).
Openpyxl can be installed using the pip command and it is recommended to install it in a virtual environment.
pip install openpyxl
We start by creating a new spreadsheet, which is called a workbook in Openpyxl. We import the workbook module from Openpyxl and use the function Workbook()
which creates a new workbook.
from openpyxl
import Workbook
#creates a new workbook
wb = Workbook()
#Gets the first active worksheet
ws = wb.active
#creating new worksheets by using the create_sheet method
ws1 = wb.create_sheet("sheet1", 0) #inserts at first position
ws2 = wb.create_sheet("sheet2") #inserts at last position
ws3 = wb.create_sheet("sheet3", -1) #inserts at penultimate position
#Renaming the sheet
ws.title = "Example"
#save the workbook
wb.save(filename = "example.xlsx")
We load the file using the function load_Workbook()
which takes the filename as an argument. The file must be saved in the same working directory.
#loading a workbook
wb = openpyxl.load_workbook("example.xlsx")
#getting sheet names
wb.sheetnames
result = ['sheet1', 'Sheet', 'sheet3', 'sheet2']
#getting a particular sheet
sheet1 = wb["sheet2"]
#getting sheet title
sheet1.title
result = 'sheet2'
#Getting the active sheet
sheetactive = wb.active
result = 'sheet1'
#get a cell from the sheet
sheet1["A1"] <
Cell 'Sheet1'.A1 >
#get the cell value
ws["A1"].value 'Segment'
#accessing cell using row and column and assigning a value
d = ws.cell(row = 4, column = 2, value = 10)
d.value
10
#looping through each row and column
for x in range(1, 5):
for y in range(1, 5):
print(x, y, ws.cell(row = x, column = y)
.value)
#getting the highest row number
ws.max_row
701
#getting the highest column number
ws.max_column
19
There are two functions for iterating through rows and columns.
Iter_rows() => returns the rows
Iter_cols() => returns the columns {
min_row = 4, max_row = 5, min_col = 2, max_col = 5
} => This can be used to set the boundaries
for any iteration.
Example:
#iterating rows
for row in ws.iter_rows(min_row = 2, max_col = 3, max_row = 3):
for cell in row:
print(cell) <
Cell 'Sheet1'.A2 >
<
Cell 'Sheet1'.B2 >
<
Cell 'Sheet1'.C2 >
<
Cell 'Sheet1'.A3 >
<
Cell 'Sheet1'.B3 >
<
Cell 'Sheet1'.C3 >
#iterating columns
for col in ws.iter_cols(min_row = 2, max_col = 3, max_row = 3):
for cell in col:
print(cell) <
Cell 'Sheet1'.A2 >
<
Cell 'Sheet1'.A3 >
<
Cell 'Sheet1'.B2 >
<
Cell 'Sheet1'.B3 >
<
Cell 'Sheet1'.C2 >
<
Cell 'Sheet1'.C3 >
To get all the rows of the worksheet we use the method worksheet.rows and to get all the columns of the worksheet we use the method worksheet.columns. Similarly, to iterate only through the values we use the method worksheet.values.
Example:
for row in ws.values:
for value in row:
print(value)
Writing to a workbook can be done in many ways such as adding a formula, adding charts, images, updating cell values, inserting rows and columns, etc… We will discuss each of these with an example.
#creates a new workbook
wb = openpyxl.Workbook()
#saving the workbook
wb.save("new.xlsx")
#creating a new sheet
ws1 = wb.create_sheet(title = "sheet 2")
#creating a new sheet at index 0
ws2 = wb.create_sheet(index = 0, title = "sheet 0")
#checking the sheet names
wb.sheetnames['sheet 0', 'Sheet', 'sheet 2']
#deleting a sheet
del wb['sheet 0']
#checking sheetnames
wb.sheetnames['Sheet', 'sheet 2']
#checking the sheet value
ws['B2'].value
null
#adding value to cell
ws['B2'] = 367
#checking value
ws['B2'].value
367
We often require formulas to be included in our Excel datasheet. We can easily add formulas using the Openpyxl module just like you add values to a cell.
For example:
import openpyxl
from openpyxl
import Workbook
wb = openpyxl.load_workbook("new1.xlsx")
ws = wb['Sheet']
ws['A9'] = '=SUM(A2:A8)'
wb.save("new2.xlsx")
The above program will add the formula (=SUM(A2:A8)) in cell A9. The result will be as below.
Two or more cells can be merged to a rectangular area using the method merge_cells(), and similarly, they can be unmerged using the method unmerge_cells().
For example:
Merge cells
#merge cells B2 to C9
ws.merge_cells('B2:C9')
ws['B2'] = "Merged cells"
Adding the above code to the previous example will merge cells as below.
#unmerge cells B2 to C9
ws.unmerge_cells('B2:C9')
The above code will unmerge cells from B2 to C9.
To insert an image we import the image function from the module openpyxl.drawing.image. We then load our image and add it to the cell as shown in the below example.
Example:
import openpyxl
from openpyxl
import Workbook
from openpyxl.drawing.image
import Image
wb = openpyxl.load_workbook("new1.xlsx")
ws = wb['Sheet']
#loading the image(should be in same folder)
img = Image('logo.png')
ws['A1'] = "Adding image"
#adjusting size
img.height = 130
img.width = 200
#adding img to cell A3
ws.add_image(img, 'A3')
wb.save("new2.xlsx")
Result:
Charts are essential to show a visualization of data. We can create charts from Excel data using the Openpyxl module chart. Different forms of charts such as line charts, bar charts, 3D line charts, etc., can be created. We need to create a reference that contains the data to be used for the chart, which is nothing but a selection of cells (rows and columns). I am using sample data to create a 3D bar chart in the below example:
Example
import openpyxl
from openpyxl
import Workbook
from openpyxl.chart
import BarChart3D, Reference, series
wb = openpyxl.load_workbook("example.xlsx")
ws = wb.active
values = Reference(ws, min_col = 3, min_row = 2, max_col = 3, max_row = 40)
chart = BarChart3D()
chart.add_data(values)
ws.add_chart(chart, "E3")
wb.save("MyChart.xlsx")
Result
Welcome to another video! In this video, We will cover how we can use python to automate Excel. I'll be going over everything from creating workbooks to accessing individual cells and stylizing cells. There is a ton of things that you can do with Excel but I'll just be covering the core/base things in OpenPyXl.
⭐️ Timestamps ⭐️
00:00 | Introduction
02:14 | Installing openpyxl
03:19 | Testing Installation
04:25 | Loading an Existing Workbook
06:46 | Accessing Worksheets
07:37 | Accessing Cell Values
08:58 | Saving Workbooks
09:52 | Creating, Listing and Changing Sheets
11:50 | Creating a New Workbook
12:39 | Adding/Appending Rows
14:26 | Accessing Multiple Cells
20:46 | Merging Cells
22:27 | Inserting and Deleting Rows
23:35 | Inserting and Deleting Columns
24:48 | Copying and Moving Cells
26:06 | Practical Example, Formulas & Cell Styling
📄 Resources 📄
OpenPyXL Docs: https://openpyxl.readthedocs.io/en/stable/
Code Written in This Tutorial: https://github.com/techwithtim/ExcelPythonTutorial
Subscribe: https://www.youtube.com/c/TechWithTim/featured
1659453850
A Julia package for interacting with the Twitter API.
Twitter.jl is a Julia package to work with the Twitter API v1.1. Currently, only the REST API methods are supported; streaming API endpoints aren't implemented at this time.
All functions have required arguments for those parameters required by Twitter and an options
keyword argument to provide a Dict{String, String}
of optional parameters Twitter API documentation. Most function calls will return either a Dict
or an Array <: TwitterType
. Bad requests will return the response code from the API (403
, 404
, etc).
DataFrame methods are defined for functions returning composite types: Tweets
, Places
, Lists
, and Users
.
Before one can make use of this package, you must create an application on the Twitter's Developer Platform.
Once your application is approved, you can access your dashboard/portal to grab your authentication credentials from the "Details" tab of the application.
Note that you will also want to ensure that your App has Read / Write OAuth access in order to post tweets. You can find out more about this on Stack Overflow.
To install this package, enter ]
on the REPL to bring up Julia's package manager. Then add the package:
julia> ]
(v1.7) pkg> add Twitter
Tip: Press Ctrl+C
to return to the julia>
prompt.
To run Twitter.jl, enter the following command in your Julia REPL
julia> using Twitter
Then the a global variable has to be declared with the twitterauth
function. This function holds the consumer_key
(API Key), consumer_secret
(API Key Secret), oauth_token
(Access Token), and oauth_secret
(Access Token Secret) respectively.
twitterauth("6nOtpXmf...", # API Key
"sES5Zlj096S...", # API Key Secret
"98689850-Hj...", # Access Token
"UroqCVpWKIt...") # Access Token Secret
Note: This package does not currently support OAuth authentication.
See runtests.jl for example function calls.
using Twitter, Test
using JSON, OAuth
# set debugging
ENV["JULIA_DEBUG"]=Twitter
twitterauth(ENV["CONSUMER_KEY"], ENV["CONSUMER_SECRET"], ENV["ACCESS_TOKEN"], ENV["ACCESS_TOKEN_SECRET"])
#get_mentions_timeline
mentions_timeline_default = get_mentions_timeline()
tw = mentions_timeline_default[1]
tw_df = DataFrame(mentions_timeline_default)
@test 0 <= length(mentions_timeline_default) <= 20
@test typeof(mentions_timeline_default) == Vector{Tweets}
@test typeof(tw) == Tweets
@test size(tw_df)[2] == 30
#get_user_timeline
user_timeline_default = get_user_timeline(screen_name = "randyzwitch")
@test typeof(user_timeline_default) == Vector{Tweets}
#get_home_timeline
home_timeline_default = get_home_timeline()
@test typeof(home_timeline_default) == Vector{Tweets}
#get_single_tweet_id
get_tweet_by_id = get_single_tweet_id(id = "434685122671939584")
@test typeof(get_tweet_by_id) == Tweets
#get_search_tweets
duke_tweets = get_search_tweets(q = "#Duke", count = 200)
@test typeof(duke_tweets) <: Dict
#test sending/deleting direct messages
#commenting out because Twitter API changed. Come back to fix
# send_dm = post_direct_messages_send(text = "Testing from Julia, this might disappear later $(time())", screen_name = "randyzwitch")
# get_single_dm = get_direct_messages_show(id = send_dm.id)
# destroy = post_direct_messages_destroy(id = send_dm.id)
# @test typeof(send_dm) == Tweets
# @test typeof(get_single_dm) == Tweets
# @test typeof(destroy) == Tweets
#creating/destroying friendships
add_friend = post_friendships_create(screen_name = "kyrieirving")
unfollow = post_friendships_destroy(screen_name = "kyrieirving")
unfollow_df = DataFrame(unfollow)
@test typeof(add_friend) == Users
@test typeof(unfollow) == Users
@test size(unfollow_df)[2] == 40
# create a cursor for follower ids
follow_cursor_test = get_followers_ids(screen_name = "twitter", count = 10_000)
@test length(follow_cursor_test["ids"]) == 10_000
# create a cursor for friend ids - use barackobama because he follows a lot of accounts!
friend_cursor_test = get_friends_ids(screen_name = "BarackObama", count = 10_000)
@test length(friend_cursor_test["ids"]) == 10_000
# create a test for home timelines
home_t = get_home_timeline(count = 2)
@test length(home_t) > 1
# TEST of cursoring functionality on user timelines
user_t = get_user_timeline(screen_name = "stefanjwojcik", count = 400)
@test length(user_t) == 400
# get the minimum ID of the tweets returned (the earliest)
minid = minimum(x.id for x in user_t);
# now iterate until you hit that tweet: should return 399
# WARNING: current versions of julia cannot use keywords in macros? read here: https://github.com/JuliaLang/julia/pull/29261
# eventually replace since_id = minid
tweets_since = get_user_timeline(screen_name = "stefanjwojcik", count = 400, since_id = 1001808621053898752, include_rts=1)
@test length(tweets_since)>=399
# testing get_mentions_timeline
mentions = get_mentions_timeline(screen_name = "stefanjwojcik", count = 300)
@test length(mentions) >= 50 #sometimes API doesn't return number requested (twitter API specifies count is the max returned, may be much lower)
@test Tweets<:typeof(mentions[1])
# testing retweets_of_me
my_rts = get_retweets_of_me(count = 300)
@test Tweets<:typeof(my_rts[1])
Contributions are welcome! Kindly refer to the contribution guidelines.
Linux:
CodeCov:
Author: Randyzwitch
Source Code: https://github.com/randyzwitch/Twitter.jl
License: View license
1634193233
BSETEC's Udemy clone app based on formalized teaching but with the help of electronic resources is known as E-learning.E-learning, also referred to as online learning or electronic learning, is the acquisition of knowledge which takes place through electronic technologies .
Udemy, which was founded more than a decade ago, has established itself as a global leader in the online teaching industry. People in our digital era rely on technology and devices for nearly everything, including education. When it comes to online learning, or eLearning, which is regarded as a lifesaver– capable of sustaining the educational environment even during the Covid-19 pandemic– it has evolved into a platform bursting with potential, not only for students but also for tutors, educators, and instructors. Furthermore, when compared to traditional educational techniques, the flexibility and customization given by online tutoring software like Expertplus LMS are unrivalled. As a result, it is gradually becoming an important component of the learning process, which is why eLearning is here to stay– even after the epidemic has passed, it is a huge increase in the number of eLearning applications and websites, and most businesses are choosing for Udemy Clone App instead of starting from scratch.
BigBlueButton Technology – Make Efficient Interaction with LMS
How can I get started with your own online tutoring company?
To use the Udemy Clone App script to establish an online tutoring marketplace similar to Udemy, bear the following factors in mind:
If you want to develop a platform with high-quality eLearning features that cater to the needs of a large mass of audience, then opt for ExpertPlus LMS, and contact BSEtec now! Hurry!
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1595491178
The electric scooter revolution has caught on super-fast taking many cities across the globe by storm. eScooters, a renovated version of old-school scooters now turned into electric vehicles are an environmentally friendly solution to current on-demand commute problems. They work on engines, like cars, enabling short traveling distances without hassle. The result is that these groundbreaking electric machines can now provide faster transport for less — cheaper than Uber and faster than Metro.
Since they are durable, fast, easy to operate and maintain, and are more convenient to park compared to four-wheelers, the eScooters trend has and continues to spike interest as a promising growth area. Several companies and universities are increasingly setting up shop to provide eScooter services realizing a would-be profitable business model and a ready customer base that is university students or residents in need of faster and cheap travel going about their business in school, town, and other surrounding areas.
In many countries including the U.S., Canada, Mexico, U.K., Germany, France, China, Japan, India, Brazil and Mexico and more, a growing number of eScooter users both locals and tourists can now be seen effortlessly passing lines of drivers stuck in the endless and unmoving traffic.
A recent report by McKinsey revealed that the E-Scooter industry will be worth― $200 billion to $300 billion in the United States, $100 billion to $150 billion in Europe, and $30 billion to $50 billion in China in 2030. The e-Scooter revenue model will also spike and is projected to rise by more than 20% amounting to approximately $5 billion.
And, with a necessity to move people away from high carbon prints, traffic and congestion issues brought about by car-centric transport systems in cities, more and more city planners are developing more bike/scooter lanes and adopting zero-emission plans. This is the force behind the booming electric scooter market and the numbers will only go higher and higher.
Companies that have taken advantage of the growing eScooter trend develop an appthat allows them to provide efficient eScooter services. Such an app enables them to be able to locate bike pick-up and drop points through fully integrated google maps.
It’s clear that e scooters will increasingly become more common and the e-scooter business model will continue to grab the attention of manufacturers, investors, entrepreneurs. All this should go ahead with a quest to know what are some of the best electric bikes in the market especially for anyone who would want to get started in the electric bikes/scooters rental business.
We have done a comprehensive list of the best electric bikes! Each bike has been reviewed in depth and includes a full list of specs and a photo.
https://www.kickstarter.com/projects/enkicycles/billy-were-redefining-joyrides
To start us off is the Billy eBike, a powerful go-anywhere urban electric bike that’s specially designed to offer an exciting ride like no other whether you want to ride to the grocery store, cafe, work or school. The Billy eBike comes in 4 color options – Billy Blue, Polished aluminium, Artic white, and Stealth black.
Price: $2490
Available countries
Available in the USA, Europe, Asia, South Africa and Australia.This item ships from the USA. Buyers are therefore responsible for any taxes and/or customs duties incurred once it arrives in your country.
Features
Specifications
Why Should You Buy This?
**Who Should Ride Billy? **
Both new and experienced riders
**Where to Buy? **Local distributors or ships from the USA.
Featuring a sleek and lightweight aluminum frame design, the 200-Series ebike takes your riding experience to greater heights. Available in both black and white this ebike comes with a connected app, which allows you to plan activities, map distances and routes while also allowing connections with fellow riders.
Price: $2099.00
Available countries
The Genze 200 series e-Bike is available at GenZe retail locations across the U.S or online via GenZe.com website. Customers from outside the US can ship the product while incurring the relevant charges.
Features
Specifications
https://ebikestore.com/shop/norco-vlt-s2/
The Norco VLT S2 is a front suspension e-Bike with solid components alongside the reliable Bosch Performance Line Power systems that offer precise pedal assistance during any riding situation.
Price: $2,699.00
Available countries
This item is available via the various Norco bikes international distributors.
Features
Specifications
http://www.bodoevs.com/bodoev/products_show.asp?product_id=13
Manufactured by Bodo Vehicle Group Limited, the Bodo EV is specially designed for strong power and extraordinary long service to facilitate super amazing rides. The Bodo Vehicle Company is a striking top in electric vehicles brand field in China and across the globe. Their Bodo EV will no doubt provide your riders with high-level riding satisfaction owing to its high-quality design, strength, breaking stability and speed.
Price: $799
Available countries
This item ships from China with buyers bearing the shipping costs and other variables prior to delivery.
Features
Specifications
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