Cách in văn bản đậm và tô màu bằng Python

Bạn có thể thay đổi văn bản của mình thành in đậm , nghiênggạch chân bằng Python. Bạn không chỉ có thể thử nghiệm kiểu mã của mình mà còn có thể thay đổi màu sắc của nó với sự trợ giúp của các gói và mô-đun cụ thể trong Python. Trong hướng dẫn này, chúng ta sẽ xem cách in văn bản đậm và có màu.

In văn bản Python đậm

Làm cách nào để in văn bản in đậm trong Python? Để in văn bản python đậm, hãy sử dụng trình tự thoát ANSI tích hợp sẵn để làm cho văn bản in đậm , nghiêng hoặc tô màu , v.v. Bằng cách sử dụng trình tự thoát ANSI cụ thể, văn bản có thể được in ở các định dạng khác nhau.

Trình tự thoát ANSI để in văn bản in đậm trong Python là: '\ 033 [1m'.

print("This is bold text looks like:",'\033[1m' + 'Python' + '\033[0m')

Đầu ra

Bạn có thể thấy từ đầu ra rằng Python được in đậm. Mặc dù, bảng điều khiển của tôi là zsh. Vì vậy, nó hiển thị màu trắng. Nhưng bạn có thể coi nó như một văn bản in đậm.

In văn bản in đậm bằng Python sử dụng thuật ngữ màu

Thuật ngữ màu là một gói để định dạng màu ANSI cho đầu ra trong thiết bị đầu cuối với các thuộc tính khác nhau cho các thiết bị đầu cuối khác nhau và các thuộc tính văn bản nhất định. Chúng tôi sẽ sử dụng thuộc tính văn bản in đậm trong hàm này. Hàm color () cung cấp màu cụ thể cho văn bản và làm cho nó đậm.

Đầu tiên chúng ta cài đặt mô-đun màu sắc. Chúng tôi sử dụng pipđể cài đặt các gói bằng Python.

python3 -m pip install termcolor

Bây giờ, chúng ta hãy viết văn bản màu.

from termcolor import colored

print(colored('python', 'red', attrs=['bold']))

Đầu ra


Bạn có thể đếm văn bản trên là văn bản có màu đỏ trong đầu ra.

Sử dụng lớp màu

Trong cách tiếp cận này, chúng ta sẽ tạo một lớp màu. Trình tự thoát ANSI của tất cả các màu được liệt kê trong lớp. Để in màu mà chúng ta lựa chọn, chúng ta có thể chọn bất kỳ màu nào trong số các màu.

class color:
   PURPLE = '\033[95m'
   CYAN = '\033[96m'
   DARKCYAN = '\033[36m'
   BLUE = '\033[94m'
   GREEN = '\033[92m'
   YELLOW = '\033[93m'
   RED = '\033[91m'
   BOLD = '\033[1m'
   UNDERLINE = '\033[4m'
   END = '\033[0m'

print("The output is:" + color.BLUE + 'Python 3!')

Đầu ra

Sử dụng gói Colorama

Để làm việc với gói Colorama, bạn cần cài đặt gói.

python3 -m pip install colorama

Nó là một nền tảng chéo cho văn bản đầu cuối có màu. Nó làm cho ANSI hoạt động trong Microsoft Windows cho các chuỗi ký tự thoát.

from colorama import init
from termcolor import colored

print(colored('Python 3 !', 'green', 'on_red'))

Đầu ra

Chúng tôi đã sử dụng mô-đun Colorama với màu chữ để in văn bản màu trên thiết bị đầu cuối Windows. Gọi init () trên Windows sẽ lọc chuỗi thoát ANSI ra khỏi mọi văn bản khác được gửi đến stdout hoặc stderr , thay thế chúng bằng các lệnh gọi tương đương Win32 . Hàm color () sẽ tô màu chuỗi được chỉ định bằng màu xanh lục.

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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:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Shardul Bhatt

Shardul Bhatt


Why use Python for Software Development

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. 

5 Reasons to Utilize Python for Programming Web Apps 

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.

Robust frameworks 

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. 

Progressive applications 

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.

#python development services #python development company #python app development #python development #python in web development #python software development

Art  Lind

Art Lind


Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Art  Lind

Art Lind


How to Remove all Duplicate Files on your Drive via 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

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

1. init

class AnyClass:
    def __init__():
        print("Init called on its own")
obj = AnyClass()

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

Init called on its own

2. add

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

class AnyClass:
    def __init__(self, var):
        self.some_var = var
    def __add__(self, other_obj):
        print("Calling the add method")
        return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python