Introduction-To-Python- a guide to master

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An Introduction to Python
An Introduction
to Python
A Guide for Marketers, Developers,
and Data Analysts

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Introduction
Python has quickly become the
most-searched programming
language on Stack Overflow and the
#1 language on the TIOBE index,
surpassing C and Java in 2022.
With its versatility, simple syntax and formatting,
and applications in data, development, and
education, it is becoming the preferred
programming language of data experts,
engineers, and operations professionals in all
industries.
This guide will explore Python programming,
uses, and best practices, and provide resources
to help you leverage Python in your day-to-day
role. Let’s get started.
Source: Stack Overflow

3
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Table of Contents
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12
20
22
24
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CHAPTER ONE
What is Python?
CHAPTER TWO
Methods & Functions
CHAPTER THREE
Coding Standards and Programming Best Practices
CHAPTER FOUR
Advanced Python
CHAPTER FIVE
Resources for Future Learning
CLOSING

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CHAPTER ONE
What is Python?
Python is one of the fastest growing, most multipurpose
programming languages available. Originally developed
in the 1990s by Dutch programmer Guido van Rossum
and expanded by community members over the years,
Python has gained popularity due to its collaborative nature,
powerful data capabilities, and simplicity.
Source: Python Institute
Python — a free, open
source object-oriented
programming (OOP)
language
According to the TIOBE Index, which ranks
programming language popularity, Python is
the top programming language as of February
2022. So, why has Python grown as the top
choice for developers, engineers, and data
scientists, as well as an increasing number of
non-programmers?
“Python works for everything. It’s a one-size-
fits-all, industry agnostic, flexible language
that allows teams to capture, enrich, and store
data, automate processes, and utilize machine
learning, among other things. Organizations
depend on Python to function.”
FUN FACT
Python was named after a Monty Python sketch.

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Python was built on the principles that code should be simple over
complex, and anyone should be able to understand it. It reads like English,
and is easier to debug than compiled languages. Because of this and
the vast capabilities that this programming language holds, Python has
become a fan favorite in the developer community.
Python is:
• Open source, with a strong community of developers
(Pythonistas and Pythoneers) and extensive library of code (PyPI)
• Object-oriented programming (OOP)
• An interpreted programming language
• Free
• Flexible
• Intuitive and simple
• Collaborative
• Trusted
• Easy to learn, reads like English
• Low cost to maintain
• Interpreted, and easier to debug than compiled languages

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What is Python most commonly used for?
Python is mainly used for data science, data visualization, machine
learning, and website and app development. Top platforms like
YouTube, Pinterest, Google, Industrial Light and Magic (special
effects company originally founded by George Lucas), and
Instagram are powered by Python plus Django (a Python-based
web framework).
Python can be used to develop websites and apps, to clean, analyze,
and model data, to build games and services, to automate processes,
and to create machine learning algorithms. It’s also an easy language
to learn, making it a top choice for teaching software engineering.
Many data experts and engineers use Python when they’ve maxed
out the functionality of Excel or Google Sheets’ pivot tables, or it’s
simply too much data for those programs to execute. Python has
proven a more adaptable solution than industry-specific competitors
like MATLAB or Perl due to its ease of use, transferability between
applications, and lower costs. The platform is free and upkeep is less
expensive and specialized than more complex tools.
“The flexibility of being able to
program custom code when
you have large amounts of
data is invaluable. Python
combines a low technical
cost of entry while providing
a near limitless set of data
processing capabilities.”
Joe Camilo Ph.D.,
Engineering Director at
CoVar, a machine learning
company.
Industries that Use Python
Engineering Finance Marketing Business Ecommerce Math Science + Research Education Gaming

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Python for Digital Marketing Setting Up and Installing Python
In digital marketing, Python is a powerful
data processing tool that picks up where
pivot tables and business intelligence tools
leave off. Since it’s open source, you can
connect any API to Python using web hooks.
With Python, you can create programs
that automate email responses, data and
reporting, data cleanups, and other manual
tasks. You can pull new trends and patterns
from large data sets and even connect Python
with your HubSpot account.
To get started using Python, download the latest version of Python to
your computer right from the Python website, or use a web-based code
editor like Codepen. It’s important to have the latest version to avoid
bugs and have your programs run as smoothly as possible. Python is
an interpreted language, so you write your Python code files in a text
editor, then execute them using an interpreter.
Most people who use Python use an integrated development
environment (IDE), which includes both the text editor and the
interpreter, displayed in a graphical user interface (GUI), like PyCharm,
VS Code, or Sublime, and these vary by industry or preferred
programming language. Most are free and they include features like
checking code for errors, color coding, customizable UI, plugins,
improved code quality, and other collaboration and developer tools.
Collaborative Coding in PyCharm, the Python IDE

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Once you’ve downloaded PyCharm or
another text editor or have Codepen open,
you’re ready to start writing Python code.
Python has their own helpful guide to getting
started that includes resources and additional
documentation based on your level of
programming experience.
To create a Python program, name your Python
file using the command line. Your IDE will
prompt the file storage location and create a
new virtual environment when you go to create
a new project file, saving with the extension .py.
Using a command line, here’s how to create
your Python project:
C:UsersYour Name>python newproject.py
Creating a new Python project in PyCharm
PyCharm, a popular Python code editor.

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Syntax and Format in Python
Python was designed to read like English and
operates using white space formatting or spaces
or tabs that denote objects and classes. Python
programs execute from top to bottom, line by
line, making it efficient to debug since you can
troubleshoot an issue and stop the code in the
middle, rather than having to stop the entire
program like in a compiled language like C++.
To write in Python, use the code editor in the top
screen to write your code. Python code includes
declaring variables, creating lists, processing
user inputted data, and using functions to
manipulate data. This can be coded manually,
or implemented using imported packages
that others developed. When you are ready
to run your code, use the “Run” function and
the output will appear in the terminal window
below. If there are any errors, Python will
identify the error using the line where the
error has occurred and provide insights as to
why the error is happening.
print("Testing this code!") Testing this code!
Once you’ve opened a Python
file, basic Python syntax looks
like this, and is entered into the
code editor:
Then, when you run the
program, the output, which
appears in the terminal
window, will be:
The “Run” dropdown menu in PyCharm.

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Python Syntax + Formatting Guidelines
• Python is case sensitive
• Built-in Python functions and special keywords will
appear in color
• Some of the primary data types available in Python
are:
• Integers (whole numbers like 1, 25, or 160)
• Floats (numbers with floating points, or
decimals, like 10.16, or 8.12)
• Boolean (True or False)
• Other data types include strings, lists, tuples,
dictionaries, and sets
• To define an object, you don’t need to use curly
brackets { }, instead use tabs and white space to
identify the object that a function will apply to
• Always surround text with quotes
To settle the tabs versus spaces debate from
Silicon Valley… “It’s all spaces,” says Camilo.
Source: @FunFuse on YouTube
PRO TIP
Using keyboard shortcuts is a game-changer in Python.

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CHAPTER TWO
Methods & Functions
Python is an object-oriented programming (OOP) language, meaning the focus of the code is on the objects
or datasets, rather than on the functions themselves. Here’s a crash course in computer science to set the
foundation for Python programming.
PYTHON GLOSSARY
TERM EXAMPLE
DEFINITION
Argument
Attribute
Class
The value that follows the function name, in
parentheses. Brings information into a function.
A value that corresponds to a given attribute,
associated using a dot/period.
Combines data and functionality, creates a new
type of object. Methods are added to classes
to modify them.
def test_function(fname):
print(fname + " Test")
Object.attribute
class ClassName:
<example-1>
.
.
.
<example-N>

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TERM EXAMPLE
DEFINITION
Command Line
Function
List
Dictionary
A text-based interface where you enter code.
The basis for a command line interface (CLI)
where you can execute code.
A group of statements that produce a response
when called. They can include parameters or
return data.
Saves multiple items as a single variable, built-
in Python function. Ordered.
A data type that’s a group of objects in the form of
key-value pairs that map to one another, or a list of
values associated with a matching key.
$ python -c "print('Python Test')"
Python Test
def test_function():
print("Hello world")
testlist = ["dog", "cat", "lizard"]
print(testlist)
d = {
<key>: <value>,
<key>: <value>,
.
.
.
<key>: <value>
}
PYTHON GLOSSARY

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PYTHON GLOSSARY
TERM EXAMPLE
DEFINITION
Method
Package
Script
Module
A function applied to a class. Includes string
methods, list methods, dictionary methods,
tuple methods, set methods, and file methods.
A directory of Python modules, must contain
__init__.py file to initialize the package.
A file that contains commands that execute as a
program.
A file with a group of functions, variables, and
class definitions that can be imported into other
applications and files.
txt = "hello world"
x = txt.capitalize()
print (x)
import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.ylabel('some numbers')
plt.show()
import testmodule
testmodule.greeting("Mario")

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TERM EXAMPLE
DEFINITION
Set
String
Variable
A built-in data type that stores multiple items in
an unordered list in a single variable, defined
by curly brackets { }.
A sequence of characters, textual data.
Enclosed in quotes.
Temporary data storage in a computer’s
memory. If using multiple words in a variable
name, separate them using underscores.
testset = {"dog", "cat", "lizard"}
print(testset)
“Hello world”
age = 20
PYTHON GLOSSARY

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Object-Oriented Programming Basics
The four main elements of OOPs are encapsulation,
abstraction, inheritance, and polymorphism. Object-
oriented programming was designed to simplify the code
development process, minimizing the need to copy and
paste code.
Encapsulation
Encapsulation is when a group of similar variables and
functions are combined into one object, by defining them
in a group like a class. Encapsulation helps protect and
secure data and prevents code from being altered by
others. To make a given element private in Python, add an
underscore before it in the code, like this:
_private,
Or, to perform name mangling, add a double underscore
before an attribute, like this:
__private.
Encapsulation makes code more efficient by eliminating
the need for lengthy parameters attached to functions.
And it allows you to reuse objects in different places
and programs.
An example of functional programming (above)
versus OOP (below) from Programming with Mosh.
Abstraction
Abstraction is when you are able to block off certain
functions and methods from the rest of the code.
Abstraction is helpful in coding because it:
• Reduces the number of functions and methods needed
• Simplifies the code
• Minimizes the effects of changes

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Inheritance
Inheritance is the principle of object-oriented
programming that represents the streamlined,
simple nature of the language. It helps to reduce
redundancy by applying a set of properties and
methods to multiple objects. Rather than having
to repeat those properties and methods every
time, they can inherit the information, reducing the
overall amount of code.
OOPS FUNCTIONAL PROGRAMMING
• Newer programming method
• Related variables and functions are
combined into objects
• Functions in OOP languages are methods
• Less parameters on functions, making them
more flexible
• Older programming method
• Functions operate on data, variables and
functions are separate
• Bulkier
• Harder to debug
• Functions depend on each other, leading to
broken code when one is changed
• Lots of parameters on functions
OOPs vs Functional Programming Languages
Polymorphism
Polymorphism gives OOPs flexibility — rather than applying
a method in the same way to each element or object,
methods are applied to individual objects and can be run
in different ways based on the type of object.
This replaces more complex code called a switch-case
statement in other programming languages. In Python,
you can write one line of code with a method added on to
achieve the same result.

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Functions are elements of code that produce a result and
can pass parameters (data), which are noted in parentheses
following the function. An example of a function is:
A method is a modification applied to an object that
can operate or return data within a given class. In other
words, it’s a function applied to an object. An example
of a method, .upper, which converts the string into all
uppercase letters, is:
def test_function():
message = 'intro to python'
print(message.upper())
The output for the .upper method in the above
example is “INTRO TO PYTHON”.
The difference between methods and functions in Python
is that methods are associated with a class and dependent
on that class, but functions are independent. Python has a
number of built-in functions, including common go-tos like
print(), range(), and list().
Using Functions and Methods in Python
Basic Python Functions
Arithmetic operators: Includes functions like add,
subtract, multiple, divide, percentage, and to the
power of as built-in functions.
Comparison operators: Greater than or equal to,
greater than, less than or equal to, less than, equal
to, not equal to.
Logical operators: And, or, and not. Combines
arithmetic and comparison operators into logical
statements.
If statements: If, then statements.

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PyPI is the centralized database of Python packages
maintained by the community — it’s a place to upload or
access packages for different use cases, industries, and
data needs. With more than 350,000 projects, you’re
bound to find something that helps with your next project.
Common PyPI Packages and Their Uses
NumPy
A scientific computing package that includes
mathematical functions, random number generators,
linear algebra routines, and more.
pandas
A data manipulation package that helps with data
alignment, merging and joining data sets, aggregating
data, time series-functionality, and more for academic
and commercial purposes.
Matplotlib
A 2D data visualization and plotting library for Python
that includes plotting commands to create visualizations
like bar plots, contour plots, and more.
“The secret to
coding is knowing
where to look,”
Emma Cotter, Ph. D.,
Environmental research
engineer and data expert.
Leveraging PyPI
The Python Package Index

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CHAPTER THREE
Coding Standards and
Programming Best Practices
Good quality Python code should follow PEP 8, the most up-to-date style guide for Python
that’s based on Guido van Rossum’s original style guide and tenets of the language.
Here’s what distinguishes good Python programming from bad programming, and makes a
Pythonista out of a developer. When in doubt — make it readable.
The Principles of Good Python Programming
• Maintain consistency within modules, functions, and projects
• Use spaces for indentation
• Avoid unnecessary whitespace
• When naming files that are public on the API, describe
usage rather than implementation
• Use underscores between words
• Don’t use lowercase l (el), uppercase O (oh), or uppercase I
(eye) as single letter variable names since they appear as 1
and 0 in some fonts
• Use short, lowercase names for modules with or without
underscores
Using Black,
“The Uncompromising
Code Formatter”
When reviewing Python code for compliance,
Black, a unique Python tool, is a developer’s
best friend. The Black program automatically
formats code to comply with pycodestyle best
practices without impacting the integrity of
the code.
“I can now do refactorings in about 1% of the
keystrokes it would have taken me previously
when we had no way for code to format itself,”
says Mike Bayer, a satisfied Black user.

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Python code should be readable, simple, and always use
less code when possible. Here are some examples of clunky
strings and functions and how they can be simplified.
Only use one statement per line. Don’t combine
disjointed statements, like if <complex comparison>
and <other complex comparison> in the example
below, on the same line.
Keep code structure as simple as possible. While
both statements in the below example achieve the
same outcome, the one denoted as #pythonic is more
straightforward and considered “better” Python code.
Be explicit — concrete and specific, and speak to the
behavior of functions in the code. Below, another
developer would understand the function in the good
example.
Poor Python Formatting vs. Good Python Formatting Examples
Source: From The Hitchhiker's Guide to Python
Source: Quora
Source: From The Hitchhiker's Guide to Python
1
2
3

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CHAPTER FOUR
Advanced Python
Python enables developers to connect complex data sets, to automate processes,
and to visualize data. Here are more Python elements and functions that enable more
advanced programs.
Explore W3’s Python Tutorials for detailed practice examples and additional exercises.
Advanced Python Functions + Features
Dictionary
A collection of key-value pairs that
match values in an associative array.
Set
A built-in Python data type that stores
multiple items in an unordered list in a
single variable, defined by curly brackets { }.
Duplicates are not allowed in sets.
List
A built-in Python function that saves multiple
ordered items as a single variable. When
indexed, the first item is index [0], then [1],
and so on. Lists allow for duplicate values.
d = {
<key>: <value>,
<key>: <value>,
<key>: <value>
}
testset = ["dog", "cat", "lizard"]
print(testset)
testlist = ["dog", "cat", "lizard"]
print(testlist)

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Command Line + Command Line Arguments
The command line is where you invoke Python and can add options like -c (command), -m (module-name), scripts,
and arguments. The interpreter reads the command line within the environment to learn which settings to use.
Command-line arguments are additional information within the line of a program after the program.py on the
command line.
While Loops
Executes a set of functions
or statements while a certain
condition remains true.
i = 1
while i < 5:
print(i)
i += 1
For Loops
Executes a set of functions
or statements for items in
lists, tuples, dictionaries,
sets, or strings.
pets = ["dog", "cat", "lizard"]
for x in pets:
print(x)
List Methods
Object-based functions that
are applied to lists.
pets = ["dog", "cat", "lizard"]
pets.append("parakeet")
The Range Function
A built-in Python function that returns a sequence of
numbers. Ranges start at the first number, go up to
(but not including) the second number, and use the
third number as the increment. Requires integers.
x = range(4, 24, 2)
for x in x:
print(n
Tuples
An ordered list that is unchangeable and stores
multiple items in one variable. Allows duplicate values,
and is indexed, starting with the first item as [0].
thistuple = ("dog", "cat", "lizard, "cat", "lizard")
print(thistuple)

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CHAPTER FIVE
Resources for Future Learning
Industry Publications
Virtual Code Editors
Browser-based code editors like Codepen
provide a virtual environment to practice
Python from anywhere.
Integrated Development
Environments
1
• The HubSpot Website Blog
• Science of Computer Programming Journal
• We Are Developers
• Towards Data Science
• Analytics Vidhya
• Code2040 • PyCharm
• VS Code
• Sublime
• PyDev
To become a better developer, like becoming a better writer
(and Python is the closest programming language to English,
so it still works), you have to read and keep up with the latest
best practices in the community. And write and review code
in collaboration with other programmers. Here are some
resources for continuing on your professional journey as a
developer and honing your Python skills.
2
3

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No matter how long you’ve been coding, every
developer will at some point or another run into
something they need help with. Chances are,
someone else has had the same issue. Rather
than wasting hours of your life attempting to
troubleshoot solo, turn to the Python developer
community and see if a Pythonista or a
Pythoneer can lend a helping hand.
• Python Forum
• Stack Overflow
• Reddit: r/python
• Reddit: r/learnpython
• Women Who Code: Python
• Black Girls Code
• Black Tech Nation
Frameworks are platforms for developing software,
websites, and applications that simplify the
development process and help programmers
speed up their processes in a standardized way.
Types of frameworks include full stack frameworks,
micro frameworks, and asynchronous frameworks.
Popular frameworks for Python include:
Django
A web app framework “for perfectionists” that can be
used for larger, more complex apps and websites.
Masonite
A web development app designed for software and
used for SaaS.
CherryPy
A “minimalist Python web framework” that reduces
source code size and speeds up development.
Hug
A Python API framework that “drastically simplifies
API development over multiple interfaces,” and is
the “fastest and most modern way to create APIs
on Python3”.
Frameworks
4 Developer Forums + Communities
5

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Closing
Python has quickly become one of the most
popular, versatile programming languages used
by developers. And just as Guido van Rossum
imagined when he first developed it, the more
people who contribute to the community, the
richer and better the language becomes.
We hope this guide helped to introduce you to
the vast capabilities that Python has to offer and
inspired you to automate processes, explore
data, and leverage the PyPI database to rethink
the way you work.
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