Irresistible Features for the Futures of Python

Irresistible Features for the Futures of Python

Let’s start with the Features of Python ...

Introduction

At some point in time, we had about as many programming languages as we could count on our fingers. Today, there are so many, and all with their own specialities. But what makes a language unique is its features. And ultimately, it is its features that get it chosen or passed for a project. So before beginning with deeper concepts of Python, let’s first take a look at the basics of Python programming language that justifies the reasons behind what makes Python so powerful as compared to other programming languages. So let’s start with the Features of Python Programming Language.

Features of Python

Easy to read and easy to code

Easy to Code

As we have seen in earlier lessons, Python is very easy to code. Compared to other popular languages like Java and C++, it is easier to code in Python. Anyone can learn Python syntax in just a few hours. Though sure, mastering Python requires learning about all its advanced concepts and packages and modules. That takes time. Thus, it is programmer-friendly.

Easy to Read

Being a high-level language, Python code is quite like English. Looking at it, you can tell what the code is supposed to do. Also, since it is dynamically-typed, it mandates indentation. This aids readability.

Compared to other programming languages Python is very easier to understand. The programming basics are as simple as mathematics where 3+5=8. So it might be your first programming language if you are a beginner.

Free and Open Source

We can easily download Python from its official link, where we can found all the previous releases. We can go with latest version, whether you know the previous versions or not.

Secondly, it is open-source. This means that its source code is available to the public. You can download it, change it, use it, and distribute it. This is called FLOSS(Free/Libre and Open Source Software). As the Python community, we’re all headed toward one goal- an ever-bettering Python.

Interpreted

There is no need to compile the code, likewise C++ and Java. So debugging becomes very easier than other programming languages.

High Level

The programmer does not have to learn the System Architecture for Python. There is not to worry about the memory management concept, it is the key feature of Python.

Dynamically Typed

For any program we have different variables with different values. In that case, the Python language does not allow the user to define the type of the variables. It will automatically understand the variable type and returns the values.

Portable

Python code is written on the Windows operating system. If you want to run this same code on MacOS, in that case, it will run without any interruption because the system-dependent feature doesn't affect Python.

Extensible

It is possible to write Python code in other programming languages.

Large Standard Library

Python language has large library where we can find unit-testing, CGI, image manipulation, databases, regular expressions, and many other in-built functions and methods. So we don’t need to code for apply functionalities to the program.

GUI programming

wxPython or JPython these toolkits are used to perform GUI programming. These are very easy to implement and fast development methods.

Python Applications

Web & Internet Development

There are major frameworks used for web applications, such as Django, Pyramid, and Flask.

Database Access

For data science, if we have to perform Data Analysis then use the Pandas framework. To implement Data Visualization Metplotlib, seaborn libraries are used. For any Numeric and Scientific Calculations, the Numpy framework is used. For Machine Learning, the Scikit-learn is used. As a library, machine, and deep learning-TensorFlow, Keras frameworks are used. These frameworks and libraries are used for Data Science in Python.

Artificial Intelligence

For Deep learning, the Keras library is used. For any Deep learning framework, the Microsoft Cognitive Toolkit is implemented. OpenCV-Open source computer vision is used as library; NLTK- Natural Language Toolkit. These Python Libraries are used for AI.

Automation

Robot framework, PyTest, Selenium Python, PyUnit are different frameworks or libraries used for automation.

Python's Demand and Careers

Python is a very popular language, from school kids to the advanced programmer. As we have discussed, it’s easy to learn and compared to other programming languages. It's simple and advanced. If we are focusing on future technologies, we reach for some of the words like Data Science, AI, IoT, Machine Learning, Automation, and these are all the major features that increase the demand for the Python language for newcomers as well as experts. Python has a future and is followed by a huge community in the tech world.

The following image will give us a quick overlook at the demand for Python.

“Money matters a lot.” For the current scenario of the programmer as well as considered about future Python becomes the first choice while thinking about actual growth, careers and jobs. Data science with Python reaches to the new place in the upcoming future. In this data-driven world, Python starts with data analysis to automation. "The new trend is Python."

How to learn Python?

There are major 7 steps:

  1. Strengthen the basics:
    We have learned Python variables, Python Tokens and Python Datatypes called the basics of the Python. These are the foundations of the programming language.

  2. Learn decision making and Control Flow:
    Next, with the help of loop statements like For and While loops also decision making statements helps to make small Python programs. It will build the confidence level.

  3. Master the concepts of OOP:
    In any programming language, OOP plays a crucial role. Class, Object, Functions and File handlings are used which implement some user interfaces to Python programs.

  4. Rigorously practice the programs:
    Practices are most important to improve the learning level for beginner or an expert. It will help you to learn something new every time.

  5. Create web apps using frameworks:
    Python is used for creating web applications. For different web applications Django, Pyramid, Flask kind of frameworks are used.

  6. Acquire the skills of Data Science and ML:
    Data science and Machine Learning are again one of the major factors for the Python. As a fresher with a good skill in Data Science. There are many more chances to earn a handsome amount. Machine Learning focuses on automation. Both are trending terms of 2020.

  7. Work on real-time Python Projects
    After completing all the previous steps, the Python Programmer has much more confidence to jump into the technology world and be introduced as the Python Developer.

Benefits and Drawbacks of Python

All the features are themselves the benefits of Python.

Compared to other programming languages

Benefits

  • Demand and Popularity is reached to the top.
  • Python codes are short.
  • Python applications are Operating System and Programmer friendly.

Drawbacks

  • Python runs with an interpreter, so it is slower while executing an application.
  • It raises run time errors.
  • It is weak for mobile browsing.
  • Databases are not h2 for dealing with big data applications.
Summary

Now that you know what are the features of python, you know what makes it special. In this tutorial, we learned about various features of Python. We saw that it is interpreted, dynamically-typed, and object-oriented, among other python features. It is also portable, free, and easy. Now that’s some motivation to dive into the world of Python.

If you have any queries regarding Python features article, mention in the comment section. We will be happy to help you!

Thank you for reading!

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Python Programming Tutorials For Beginners

Python Programming Tutorials For Beginners

Python Programming Tutorials For Beginners

Description
Hello and welcome to brand new series of wiredwiki. In this series i will teach you guys all you need to know about python. This series is designed for beginners but that doesn't means that i will not talk about the advanced stuff as well.

As you may all know by now that my approach of teaching is very simple and straightforward.In this series i will be talking about the all the things you need to know to jump start you python programming skills. This series is designed for noobs who are totally new to programming, so if you don't know any thing about

programming than this is the way to go guys Here is the links to all the videos that i will upload in this whole series.

In this video i will talk about all the basic introduction you need to know about python, which python version to choose, how to install python, how to get around with the interface, how to code your first program. Than we will talk about operators, expressions, numbers, strings, boo leans, lists, dictionaries, tuples and than inputs in python. With

Lots of exercises and more fun stuff, let's get started.

Download free Exercise files.

Dropbox: https://bit.ly/2AW7FYF

Who is the target audience?

First time Python programmers
Students and Teachers
IT pros who want to learn to code
Aspiring data scientists who want to add Python to their tool arsenal
Basic knowledge
Students should be comfortable working in the PC or Mac operating system
What will you learn
know basic programming concept and skill
build 6 text-based application using python
be able to learn other programming languages
be able to build sophisticated system using python in the future

To know more:

Learn Python Tutorial from Basic to Advance

Learn Python Tutorial from Basic to Advance

Basic programming concept in any language will help but not require to attend this tutorial

Description
Become a Python Programmer and learn one of employer's most requested skills of 21st century!

This is the most comprehensive, yet straight-forward, course for the Python programming language on Simpliv! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. (Note, we also provide older Python 2 notes in case you need them)

With over 40 lectures and more than 3 hours of video this comprehensive course leaves no stone unturned! This course includes tests, and homework assignments as well as 3 major projects to create a Python project portfolio!

This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!

We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered!

We cover a wide variety of topics, including:

Command Line Basics
Installing Python
Running Python Code
Strings
Lists
Dictionaries
Tuples
Sets
Number Data Types
Print Formatting
Functions
Scope
Built-in Functions
Debugging and Error Handling
Modules
External Modules
Object Oriented Programming
Inheritance
Polymorphism
File I/O
Web scrapping
Database Connection
Email sending
and much more!
Project that we will complete:

Guess the number
Guess the word using speech recognition
Love Calculator
google search in python
Image download from a link
Click and save image using openCV
Ludo game dice simulator
open wikipedia on command prompt
Password generator
QR code reader and generator
You will get lifetime access to over 40 lectures.

So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Basic knowledge
Basic programming concept in any language will help but not require to attend this tutorial
What will you learn
Learn to use Python professionally, learning both Python 2 and Python 3!
Create games with Python, like Tic Tac Toe and Blackjack!
Learn advanced Python features, like the collections module and how to work with timestamps!
Learn to use Object Oriented Programming with classes!
Understand complex topics, like decorators.
Understand how to use both the pycharm and create .py files
Get an understanding of how to create GUIs in the pycharm!
Build a complete understanding of Python from the ground up!

Best Way to Learn Python Programming Language | Python Tutorial

Best Way to Learn Python Programming Language | Python Tutorial

Worried that you have no experience in handling Python? Don’t! Python programming language teaching from Simpliv puts you right there to be able to write Python programs with ease. Place object-oriented programing in a Python context and use Python to perform complicated text processing.

Description
A Note on the Python versions 2 and 3: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.

What's Covered:

Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handling
Database operations: Just as much database knowledge as you need to do data manipulation in Python
Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation
Text processing and NLP: Python’s powerful tools for text processing - nltk and others.
Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post
Machine Learning : Use sk-learn to apply machine learning techniques like KMeans clustering
Hundreds of lines of code with hundreds of lines of comments
Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day
Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker
Drill #3: Scrape a news article URL and auto-summarize into 3 sentences
Drill #4: Scrape newspapers and a blog and apply several machine learning techniques - classification and clustering to these
Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to NOT offer additional technical support over email or in-person. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

Yep! Folks with zero programming experience looking to learn a new skill
Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
Yep! Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#. You might need to skip over some bits, but in general the class will still have new learning to offer you :-)
Basic knowledge
No prior programming experience is needed :-)
The course will use a Python IDE (integrated development environment) called iPython from Anaconda. We will go through a step-by-step procedure on downloading and installing this IDE.
What will you learn
Pick up programming even if you have NO programming experience at all
Write Python programs of moderate complexity
Perform complicated text processing - splitting articles into sentences and words and doing things with them
Work with files, including creating Excel spreadsheets and working with zip files
Apply simple machine learning and natural language processing concepts such as classification, clustering and summarization
Understand Object-Oriented Programming in a Python context