Skip to main content

What is Python? | Comingfly

What is Python?

 

Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.
It is used for:
  • web development (server-side),
  • software development,
  • mathematics,
  • system scripting.

What can Python do?

  • Python can be used on a server to create web applications.
  • Python can be used alongside software to create workflows.
  • Python can connect to database systems. It can also read and modify files.
  • Python can be used to handle big data and perform complex mathematics.
  • Python can be used for rapid prototyping, or for production-ready software development.

Why Python?

  • Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
  • Python has a simple syntax similar to the English language.
  • Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
  • Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
  • Python can be treated in a procedural way, an object-orientated way or a functional way.

Good to know

  • The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular.
  • In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files.

Python Syntax compared to other programming languages

  • Python was designed for readability, and has some similarities to the English language with influence from mathematics.
  • Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses.
  • Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose.

Comments

Popular posts from this blog

Best digital marketing in Perth

Best digital marketing in Perth Introduction Your introduction into the brave new world of the digital space will be custom-tailored to your business needs requirements. You will be introduced to the crew who will be handling your project, from inception to the launch into the market. Assess It will be our job to not only know your customers but how they engage with the core products and  brand relationships . From here we break down what we research, to identify the core elements needed to engage the customer. Create It’s imperative that the design of your vessel is done right from the start. Its shape, level of focus, and attention to detail are crucial for a prosperous, lucrative, and extended journey. We will always present concepts and suggestions as per the requirement, but we truly believe this process should be a collaborative one between the creative crew of the PWD and the client. The final form will dictate its progression into the  development  and manufacturi...

Top 5 pattern-in-python

  Pattern #1: 1 1 2 1 1 2 3 2 1 1 2 3 4 3 2 1 1 2 3 4 5 4 3 2 1 code:- n = 5 for i in range(1,n+1): for j in range(1,–i): print(j,end=” “) for k in range(–i,0,-1): print(k,end=” “) print(“\n”) Pattern #2: 5 4 3 2 1 1 2 3 4 5 5 4 3 2 2 3 4 5 5 4 3 3 4 5 5 4 4 5 5 5 code:- n = 6 for i in range(0,n): for j in range(n-1,i,-1): print(j,end=” “) for k in range(i+1,n): print(k,end=” “) print(“\n”) Pattern #3: 5 5 5 5 5 4 4 4 4 3 3 3 2 2 1 code:- n = 5 for i in range(n,0,-1): for j in range(i): print(i,end=” “) print(“\n”) Pattern #4: 1 2 3 4 5 2 2 3 4 5 3 3 3 4 5 4 4 4 4 5 5 5 5 5 5 code:- n = 5 for i in range(1,n+1): for j in range(1,n+1): if j <= i: print(i, end=’ ‘) else: print(j, end=’ ‘) print() Pattern #5: 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 code:- n = 5 for i in range(n,0,-1): for j in range(i): print(n,end=” “) print(“\n”) for i in range(1,n+1): for j in range(i): print(n,end=” “) print(“\n”)

Difference between loc() and iloc() in Pandas DataFrame

  Difference between loc() and iloc() in Pandas DataFrame Pandas library of python is very useful for the manipulation of mathematical data and is widely used in the field of machine learning. It comprises many methods for its proper functioning.  loc()  and  iloc()  are one of those methods. These are used in slicing data from the Pandas DataFrame. They help in the convenient selection of data from the DataFrame. They are used in filtering the data according to some conditions. The working of both of these methods is explained in the sample dataset of cars. loc()  :  loc()  is label-based data selecting method which means that we have to pass the name of the row or column which we want to select. This method includes the last element of the range passed in it, unlike  iloc() .  loc()   can accept the boolean data unlike  iloc()  .  iloc() :  iloc( )  is an indexed-based selecting method which means that we ...

Multiple Choice Questions (MCQ) on Job Design

  1-Work Design is concerned with the _____ of work system in any type of organisation or institution. (A) Study (B) Design (C) Study and design (D) Management   2-High levels of productivity result in (A) Good quality (B) Lower costs (C) Higher purchasing power (D) All of the above   3-The following is (are) the objective(s) for studying work system. (A) Increasing productivity (B) Developing manpower effectiveness (C) Both (A) and (B) (D) None of the above   4-Job design is the consciously planned structuring of ____ performed by an individual or a team of persons. (A) Work effort (B) Duties (C) Responsibilities (D) All of the above   5-The following consideration(s) is (are) important human factor(s) relating to job design (A) Physiological (B) Social (C) Psychological (D) All of the above   6-The smallest work activities involve various elementary movements called (A) Therbligs (B) Therbilgs (C) Therblgis (D) Theriblgs   7-Vertical straight dials a...

Python Libraries a Data Scientist must know

  Top 21 Python Libraries a Data Scientist must know Python is an   abundant source   of   libraries . A Python library is a gathering of  functions  that assist one to  perform many actions . It has  myriad inbuilt   libraries . Python contains ample libraries for  data science . This tutorial covers  Python libraries  for a data scientist. 1. Data Cleaning and Data Manipulation Pandas NumPy Spacy SciPy 2. Data Gathering Beautiful Soap Scrapy Selenium 3. Data Visualisation Matplotlib Seaborn Bokeh Plotly 4. Data Modelling Scikit-Learn PyTorch TensorFlow Theano 5. Image Processing Scikit-Image Pillow OpenCV 6. Audio Processing pyAudioAnalysis Librosa Madmom