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Are you serious about your career!!!! Here is the solutions with emerging technologies like embedded systems, python, XLSX VBA, C, C#, C++ and many through our workshops..Also get embedded projects for your academics..Free ebooks on all emerging techno
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3 booked.. guys who got registered pls confirm ur addition to separate private channel
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Well!! As we got voting and lot many enquiries on slots on C course!!
We are ready with new slots with following benefits:
Course name : C
Duration : 10hrs
Date : 29th Jul to 2nd Aug
(2hrs each day)
Cost : 299/-
Register: @embeddedfru48
Benefits:
1. Soft copy course material
2. Support will be provided till 3 months after completion of course
3. Soft copy certificate
4. Support for your projects on courses completed
5. Live classes enable you to clear doubts on spot.
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Previous batch reviews.. Find helpful for new ones who get enroll with us.. Happy learning guys..!!
Enquiries @embeddedfru48
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Well!! As we got voting and lot many enquiries on slots on C course!!
We are ready with new slots with following benefits:
Course name : C
Duration : 10hrs
Date : 29th Jul to 2nd Aug
(2hrs each day)
Cost : 299/-
Register: @embeddedfru48
Benefits:
1. Soft copy course material
2. Support will be provided till 3 months after completion of course
3. Soft copy certificate
4. Support for your projects on courses completed
5. Live classes enable you to clear doubts on spot.
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Raining trainings from us @INR299/- ..!! Let us know ur interest..!!
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👍👍👍👍👍 25%
Python – 2
👍👍👍👍 17%
Software testing – 1
👍👍 8%
PIC programming – 1
👍👍 8%
Data science – 1
👍👍 8%
Angular & css3
▫️ 0%
👥 12 people voted so far.
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As per request from so many of our followers v have added new technology..!!! Kindly participate in more numbers to make program successful
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Training on ROBOTIC PROCESS AUTOMATION (RPA) @649/-
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Yes.. I am interested!!
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👥 Nobody voted so far.
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2. List Comprehensions
A list comprehension can replace ugly for loops used to fill a list. The basic syntax for a list comprehension is:
[ expression for item in list if conditional ]
A very basic example to fill a list with a sequence of numbers:
mylist = [i for i in range(10)]
print(mylist)
# [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
And because you can use an expression, you can also do some math:
squares = [x**2 for x in range(10)]
print(squares)
# [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
Or even call an external function:
def some_function(a):
return (a + 5) / 2
my_formula = [some_function(i) for i in range(10)]
print(my_formula)
# [2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0]
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8 Advanced Python Tricks Used by Seasoned Programmers
1. Sorting Objects by Multiple Keys
Suppose we want to sort the following list of dictionaries:
people = [
{ 'name': 'John', "age": 64 },
{ 'name': 'Janet', "age": 34 },
{ 'name': 'Ed', "age": 24 },
{ 'name': 'Sara', "age": 64 },
{ 'name': 'John', "age": 32 },
{ 'name': 'Jane', "age": 34 },
{ 'name': 'John', "age": 99 },
]
But we don’t just want to sort it by name or age, we want to sort it by both fields.
To achieve sorting by name and age, we can do this:
import operator
people.sort(key=operator.itemgetter('age'))
people.sort(key=operator.itemgetter('name'))
Notice how I reversed the order. We first sort by age, and then by name. With operator.itemgetter() we get the age and name fields from each dictionary inside the list in a concise way.
This gives us the result we were looking for:
[
{'name': 'Ed', 'age': 24},
{'name': 'Jane', 'age': 34},
{'name': 'Janet','age': 34},
{'name': 'John', 'age': 32},
{'name': 'John', 'age': 64},
{'name': 'John', 'age': 99},
{'name': 'Sara', 'age': 64}
]
The names are sorted primarily, the ages are sorted if the name is the same. So all the Johns are grouped together, sorted by age.
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One of our team members is conducting free live classes on MATLAB every Sunday...
Interested people can join and learn.
https://www.facebook.com/events/704238080151864/
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Hello All..
For those who want to learn MATLAB from basics, here is a good link to follow..
https://www.matlabcoding.com/p/100dayschallenge-matlab.html
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Reading Research Papers
1. Assemble collections of resources that focus on the subject matter. Resources can come in the form of research papers, Medium articles, blog posts, videos, GitHub repository etc.
2. In this next step, you will conduct a deep dive of any resource you deem relevant to the subject matter. It is crucial that there’s a method to track the understanding of each shortlisted resources. Andrew Ng, suggests a table of resource plotted against your understanding level.
3. The third step is a quick tip from what I’ve observed works for me when trying to understand research papers. The third step is to take structured notes that summarises the key discoveries, findings and techniques within a paper, in your own words.
4. In your first pass, start with reading the following sections within the paper: title, abstract and figures.
5. The second pass entails you reading the following sections: introduction, conclusion, another pass through figures and scan through the rest of the content.
6. The third pass of the paper involves reading the whole sections within the paper but skipping any complicated maths or technique formulations that might be alien to you. During this pass, you can also skip any terms and terminologies that you do not understand or aren’t familiar.
7. Those conducting in-depth research into a domain can take a few more passes. These additional passes will mainly be focused on an understanding of the maths, techniques and unknown terminologies presented within the paper.
