Deval Desai

Deval Desai


How to build a basic Slack Bot with Python?

Working at a startup, we needed to automate messages in order to get notified of certain events and triggers. For example, the company I work with deals with connections to certain stores. If that connection is broken Python will read that information in our database. We can now send that data over to a Slack channel specifically for reconnecting that store.

We can create many possibilities for this Slack Bot, another example my colleague created would be to output Python error messages to a channel. Not only creating a notification but also an ongoing log of errors.

We can do something easy for now. For this project, we are going to construct a Slack Bot that will output a message if it detects that the date of when the script is run is a U.S. holiday.

What is required for this project:
1. Python
2. Slack workspace/account

Python modules required:
1. datetime (to tell what date it is when a script is run and standardize date times)
2. pandas (mainly for organizing data into a dataframe)
3. requests (to connect to the data we are fetching from a website and sending data to the slack API)
4. bs4 (data parsing of the data we are getting from the website)
5. json (encodes the data so slack API can use it)

First things first, let’s create a new Python file and import the required modules.

from datetime import date, datetime, timedelta
import pandas as pd
import requestsfrom bs4 
import BeautifulSoup
import json

We can fetch today’s datetime using the datetime module and store it as a string format as Year-month-day.

today =‘%Y-%m-%d’)
#today = '2019-10-29'

Using the module requests, we can now connect to the website we want to fetch data. For this, I am connecting to this website to fetch Holidays. When we get data from a website it is sending everything we see on that page. We only want the Holidays from this data. This is where BeautifulSoup comes into play, using the modulebs4 we can easily parse that data. We can now put this into a DataFrame.

Not the best way to transfer the data to a DataFrame but we just need to get the job done.

regionalHolidaysList = []
for result in results:    
     date = result.contents[0].text + ', ' +'%Y')    
     weekday = result.contents[1].text    
     holidayName = result.contents[2].text    
     observance = result.contents[3].text     
     stateObserved = result.contents[4].text
     regionalHolidaysList.append((date, weekday, holidayName, observance, stateObserved))regionalHolidayDf = pd.DataFrame(regionalHolidaysList, columns = ['date', 'weekday', 'holidayName', 'observance', 'stateObserved'])regionalHolidayDf['date'] = regionalHolidayDf['date'].apply(lambda x: (datetime.strptime(x, '%b %d, %Y').strftime('%Y-%m-%d')))

We can now create a datetime list from this DataFrame

dateList = regionalHolidayDf['date'].tolist()

Reading if today is in this dateList we can tell it to print to the requested slack channel. In order to get Python to send something using Slack, we need to create an incoming webhook. Slack has some documentation on how to do that here —

If everything is done correctly then we should have something like this:

The last part gets a little complicated so I will post my comments in the code with hashtags.

#So we get the date if it is in this list it will send a message in slackif today in dateList:
     todayHoliday = regionalHolidayDf[regionalHolidayDf['date'] ==          today]    
     for holiday in todayHoliday.itertuples():
          info.append(':umbrella_on_ground:' +                       holiday.holidayName +  ' in ' +                      holiday.stateObserved.replace('*', ''))    
     if len(info) >1:        
          infoFinal = '\n'.join(info)    
       infoFinal = info[0]#Here is where we can format the slack message, it will output any holiday with todays
     message = f'@here Fun fact! \n Today({today}) is: \n {infoFinal}'        
     print('Sending message to the happyholiday channel...')
     slackmsg = {'text': message}    #Using the module json it formats it where the slack API can accept it
#we can store the slack link into a variable called webhook        webhook=''
response =,  data=json.dumps(slackmsg), headers={'Content-Type': 'application/json'})    
     if response.status_code != 200:        
          raise ValueError('Request to slack returned an error %s, the response is:\n%s'            % (response.status_code, response.text)        )    
     print('Request completed!')
     print('No regional holiday today! See you next time!')

Now we can finally run this script and if successful it will output a holiday based on the date of when the script is run.

For further automation, we can put this on an EC2 and make it run every day! But that requires more credentials and setting up, let me know if that is another topic you guys are interested in!

#python #slack #chat-bot

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How to build a basic Slack Bot with Python?
Sival Alethea

Sival Alethea


Create A Twitter Bot With Python

Create a Twitter bot with Python that tweets images or status updates at a set interval. The Python script also scrapes the web for data.

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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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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.

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Biju Augustian

Biju Augustian


Learn Python Tutorial from Basic to Advance

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
Number Data Types
Print Formatting
Built-in Functions
Debugging and Error Handling
External Modules
Object Oriented Programming
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
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Build a complete understanding of Python from the ground up!

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Arvel  Parker

Arvel Parker


Basic Data Types in Python | Python Web Development For Beginners

At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Table of Contents  hide

I Mutable objects

II Immutable objects

III Built-in data types in Python

Mutable objects

The Size and declared value and its sequence of the object can able to be modified called mutable objects.

Mutable Data Types are list, dict, set, byte array

Immutable objects

The Size and declared value and its sequence of the object can able to be modified.

Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.

id() and type() is used to know the Identity and data type of the object







Built-in data types in Python

a**=str(“Hello python world”)****#str**














Numbers (int,Float,Complex)

Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.

#signed interger




Python supports 3 types of numeric data.

int (signed integers like 20, 2, 225, etc.)

float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)

complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)

A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).


The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.

# String Handling

‘Hello Python’

#single (') Quoted String

“Hello Python”

# Double (") Quoted String

“”“Hello Python”“”

‘’‘Hello Python’‘’

# triple (‘’') (“”") Quoted String

In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.

The operator “+” is used to concatenate strings and “*” is used to repeat the string.


output**:****‘Hello python’**

"python "*****2

'Output : Python python ’

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