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Python Programming | Python Training Course By H2kinfosys

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Python Programming | Python Training Course By H2kinfosys
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

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Ananya Gupta


What Are The Key Differences between Python 2 vs Python 3

Many beginning Python users are wondering with which version of Python they should start. My answer to this question is usually something along the lines “just go with the version your favorite tutorial was written in, and check out the differences later on.”

But what if you are starting a new project and have the choice to pick? I would say there is currently no “right” or “wrong” as long as both Python 2.7.x and Python 3.x support the libraries that you are planning to use.

However, it is worthwhile to have a look at the major differences between those two most popular versions of Python to avoid common pitfalls when writing the code for either one of them, or if you are planning to port your project.The its good to join best python training program which help to improve your skills.

What is Python 2?
Python 2 made code development process easier than earlier versions. It implemented technical details of Python Enhancement Proposal (PEP). Python 2.7 (last version in 2.x ) is no longer under development and in 2020 will be discontinued.

What is Python 3?
On December 2008, Python released version 3.0. This version was mainly released to fix problems that exist in Python 2. The nature of these changes is such that Python 3 was incompatible with Python 2.

It is backward incompatible Some features of Python 3 have been backported to Python 2.x versions to make the migration process easy in Python 3.

Python 3 syntax is simpler and easily understandable whereas Python 2 syntax is comparatively difficult to understand.
Python 3 default storing of strings is Unicode whereas Python 2 stores need to define Unicode string value with “u.”
Python 3 value of variables never changes whereas in Python 2 value of the global variable will be changed while using it inside for-loop.
Python 3 exceptions should be enclosed in parenthesis while Python 2 exceptions should be enclosed in notations.
Python 3 rules of ordering comparisons are simplified whereas Python 2 rules of ordering comparison are complex.
Python 3 offers Range() function to perform iterations whereas, In Python 2, the xrange() is used for iterations.

Which Python Version to Use?
When it comes to Python version 2 vs. 3 today, Python 3 is the outright winner. That’s because Python 2 won’t be available after 2020. Mass Python 3 adoption is the clear direction of the future.

After considering declining support for Python 2 programming language and added benefits from upgrades to Python 3, it is always advisable for a new developer to select Python version 3. However, if a job demands Python 2 capabilities, that would be an only compelling reason to use this version.

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Ananya Gupta


Python Roadmap To Become a Python Developer

In a universe of Java, Python is rapidly advancing into the graphs. Python engineers are highly sought after, and not all that high in gracefully. This implies they likewise get paid a ton. In case you’re understanding this, it presumably implies you’ve chosen or are choosing to begin a profession in Python and need to turn into a Python Developer. How to get an occupation as a Python Developer? This article will attempt to answer every one of your inquiries about the a Python Developer.

Before we figure out how to turn into a python designer, how about we investigate why you ought to learn Python.

Why Learn Python?

To just say, Python is at #3 in the TIOBE Index (for the fame of programming dialects) for 2019. Furthermore, in the rundown of top programming dialects for 2019 by the IEEE Spectrum, it is at #1. Python is incredible both for tenderfoots to programming and for experienced coders. In any case, what makes it far better is that Python is being favored for areas like Data Science, Machine Learning, and Artificial Intelligence. It has incredible logical capacities and different libraries designed for these areas, it is an exceptionally amazing universally useful language to learn Python? Presently, how about to Jumpstart Your Career With Python how to do it to find a new line of work as a Python Developer.

**How to Become a Python Developer? **

The following is the Python designer guide –

Choose to learn Python; choose why you need to do it.

Follow online instructional exercises. DataFlair has this extensive rundown of Python instructional exercises where you’ll discover everything at one spot. Continue rehearsing as you learn.

Peruse some great books on Python and join up with an online Python course. DataFlair just propelled its Certified Python Course to assist you with learning Python. Here, you’ll comprehend the ideas, unravel practicals and tasks, and even work on some energizing ventures.

**Continue perusing the official Python documentation for various builds. **

Bring a look into the source code of your preferred Python bundle to know how it functions.

Step by step instructions to turn into a python designer

Follow these means to turn into the following Python Developer –

1.What to Learn in Python?

Get familiar with the fundamentals. Find out about its history, language structure, establishment, and some fundamental builds like articulations, factors, and administrators.

Get some answers concerning the utilization of Python. Likewise, comprehend the contrasts between Python 2 and Python 3.

Find out about fundamental information structures like records, sets, and word references.

Comprehend significant ideas like dynamics and circles.

Figure out how to make a virtual domain.

Proceed onward to capacities and recursion.

Begin with object-arranged ideas like classes and strategies, and legacy and over-burdening.

Get some answers concerning modules and bundles, and get some involvement in like manner modules like os, namedtuple, and schedule.

Learn document taking care of. Find out about more intricate themes like generators and decorators, and shallow and profound duplicating.

Likewise, figure out how to produce and utilize arbitrary numbers and customary articulations.

Find out about more mind-boggling subjects like systems administration, XML preparation, and multiprocessing.

Figure out how to fabricate GUIs with Python.

Get some answers concerning special cases and how to deal with them.

Figure out how to utilize SciPy, NumPy, and Pandas.

Figure out how to investigate, unit-test, log, serialize, and get to the database.

**2.Things to ace Python **

**Systems **

You should now figure out how to chip away at a system. Python has some extremely incredible structures like Django, Flask, and CherryPy. You can start with Django, which is an extremely ground-breaking structure following the DRY (Don’t Repeat Yourself) guideline. It makes work simpler for you and deals with inconsequential things.

ORM Libraries

ORM represents Object Relational Mapping. This is an approach to question and control information from a database utilizing an item situated worldview. You can figure out how to utilize ORM libraries like SQLAlchemy and Django ORM. This is simpler and quicker than composing SQL.

**Front-End Technologies **

Innovations like HTML5, CSS3, and JavaScript/jQuery are not necessity to be a Python engineer. In any case, in the event that you can, attempt to increase a fundamental comprehension of these, and they will let you see how things work and what is conceivable. As a Python engineer, you may need to work with the front-end group.

**Adaptation Control **

Changes to code on numerous occasions by various individuals can eventually break it. You ought to learn GitHub and its straightforward terms like push, pull, fork, and submit on the off chance that you need to execute rendition control (you should).

3.Fabricate Projects in Python

You presently have enough aptitudes; assembling some close to home python ventures will give you certainty. You can likewise fabricate something to attempt to take care of a real issue you face. When you feel sufficiently sure, you would then be able to work for famous open-source ventures like Django.

**Who is a Good Python Developer? **

To be a decent Python designer, you will require something other than specialized information and the accompanying abilities which you get through online python certification training class:

**A critical thinking attitude **

Solid relational abilities You’ll have to impart venture necessities and highlights to your group. This will likewise assist you with composing better documentation.

Excitement to learn new instruments and libraries

Information on how things work inside

Strong Specialized Aptitudes

Since you comprehend what to realize and how to do it, prepare and take on this Python course to transform you.

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Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

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August  Larson

August Larson


Automating WhatsApp Web with Alright and Python

Alright is a python wrapper that helps you automate WhatsApp web using python, giving you the capability to send messages, images, video, and files to both saved and unsaved contacts without having to rescan the QR code every time.

Why Alright?

I was looking for a way to control and automate WhatsApp web with Python; I came across some very nice libraries and wrappers implementations, including:

  1. pywhatkit
  2. pywhatsapp
  3. PyWhatsapp
  4. WebWhatsapp-Wrapper

So I tried

pywhatkit, a well crafted to be used, but its implementations require you to open a new browser tab and scan QR code every time you send a message, no matter if it’s the same person, which was a deal-breaker for using it.

I then tried

pywhatsapp,which is based onyowsupand require you to do some registration withyowsupbefore using it of which after a bit of googling, I got scared of having my number blocked. So I went for the next option.

I then went for WebWhatsapp-Wrapper. It has some good documentation and recent commits so I had hoped it is going to work. But It didn’t for me, and after having a couple of errors, I abandoned it to look for the next alternative.

PyWhatsapp by shauryauppal, which was more of a CLI tool than a wrapper, surprisingly worked. Its approach allows you to dynamically send WhatsApp messages to unsaved contacts without rescanning QR-code every time.

So what I did is refactoring the implementation of that tool to be more of a wrapper to easily allow people to run different scripts on top of it. Instead of just using it as a tool, I then thought of sharing the codebase with people who might struggle to do this as I did.

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