CloudSwyft Global Systems, Ltd.

Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.

Welcome to the DAT208x: Introduction to Python Programming.

Python is a powerful programming language that is used for many different applications. Over time, the huge community around this open-source language has created tools to work efficiently with Python. Many tools, specifically for data science, have been built in recent years. Analyzing data with Python has never been easier.

If you’re starting your journey to become a data scientist or just curious to learn about Python, then you’re in the right place! This course is the best way to start learning Python to work with data, and no prior knowledge or technical background is required. 

<h2>Who is the course for?</h2>

This course is designed for students and professionals who aim to start their careers in Python programming.

The course is targeted at students who know the following:

Python language fundamentals: basic syntax, variables, and types

How to create and manipulate regular Python lists

How to use functions and import packages

How to build NumPy arrays and perform interesting calculations

How to create and customize plots on real data

How to use control flow, and get to know the Pandas DataFrame

<h2>Course Schedule</h2>

This course is set up in a self-paced format. You can listen to the lectures and attempt the quizzes at your pace. You should aim to complete this course in 5 hours a week for 3 weeks or around 15 hours.

We hope you’ll have an enriching and engaging learning experience.

Welcome To The Course

In this course, we will cover Python basics and prepare you to undertake data analysis using Python. We will start with basic arithmetic and variables, and eventually, you will learn how to handle data structures such as Python lists, NumPy arrays and Pandas DataFrames. Along the way, you will be introduced to Python functions and control flow. You will also take a first dive into the world of data visualisation with Python, and create your own stunning visualisations on real data.

<h2>Course Learning Objectives</h2>

Upon course completion, you would have learned:

Python language fundamentals: basic syntax, variables, and types

How to create and manipulate regular Python lists

How to use functions, and import packages

How to build NumPy arrays and perform interesting calculations

How to create and customise plots on real data

How to use control flow, and get to know the Pandas DataFrame

Each week comprises several lessons, knowledge checks, and labs. The lessons are divided into short videos, each accompanied by a short quiz to check your knowledge. This is then reinforced with exercises on CloudSwyft Labs.

<h2>Course Components</h2>

This course is composed of the following elements:

<ul>
	<li>Content Topics - text-based content, graphics, references and notes.</li>
	<li>Videos/Demos - short videos that explain concepts and key areas of learning.</li>
	<li>Knowledge Checks/Review Quizzes - are located at the end of each lesson and check your general understanding of the key concepts.</li>
	<li>CloudSwyft Hands-On Labs - are aligned to the content of the course to provide the best digital learning experience.</li>
	<li>Digital Certificate and/or CloudSwyft Hands-on Lab Badge - these are awarded upon meeting all the course requirements for completion and achieving the required pass grade.</li>
</ul>

<h3>CloudSwyft Hands-On Labs</h3>

This course uses a mix of engaging lectures, information and hands-on activities to working with data and applying the techniques you’ve learned. There are structured hands-on components throughout this course to supplement the course material and apply learning knowledge.

A practical lab environment will be set up for you, with all the prerequisite software components and practical lab exercises, in order to complete the practical assignments and Hands-On Labs. You will not be required to download and/or install any additional software on your computer in order to complete the exercises.

<h2>Guidelines on completing the course</h2>

Here are some guidelines for getting through and successfully completing this course:

Ensure you are able to access the required CloudSwyft Hands-On Lab environment to complete the practical exercises.

Set deadlines for completing your tasks. These tasks include watching videos, reading reference materials or completing practical exercises.

Check the Activity area regularly for any feedback, questions, or comments from other learners. Make a point of connecting with other students and exchanging ideas.

Make an actual effort to answer each of the Knowledge Check quiz questions on your own before you view the answer.

Read or skim through any supplemental information or Help pages that the course material refers to if you have time.

<h2>Disclaimer</h2>

Due to the ever-changing and fast-evolving nature of cloud, data and AI products, there may be inconsistencies in language and terminology. We aim to keep the course content up to date and consistent and will do our best in this regard.

Course Syllabus

CloudSwyft is a leading Learning-as-a-Service Platform Provider empowering students and industry professionals through modernized digital learning and skills development. Through its technology learning labs platform learners can develop future-ready skills including data science, artificial intelligence, machine learning, to specific basic and advanced skills on Azure Cloud.

 

CloudSwyft-Powered Hands-On Labs are Virtual Lab Environments (whether Compute Lab Environments or Azure Cloud Sandbox Portal environments) that allow students or learners access live fully functional practice environments through the browser attached and aligned with each Course Module or Lesson.

Technology Skills learning and development cannot just be achieved by watching MOOC (Massive Open Online Course) videos, lectures, presentation slides, webinars or classroom-based sessions ALONE.

That is why through our Hands-On Labs, we are making your tech upskilling journey better for you! Everyone should learn technology skills, by doing!

 

Note: CloudSwyft’s Hands-On Lab Environments are best to launch and access on the latest Google Chrome browser with a stable internet connection.

CloudSwyft: What are Hands-On Labs?

It is time to test launch your CloudSwyft Hands-On Lab session and Azure Portal Sandbox access for this course. You will need to start off by requesting your lab account.

<blockquote>
Note: CloudSwyft’s Hands-On Lab environments are best launched and accessed on the latest Google Chrome browser with a stable internet connection.
</blockquote>

 

When you click the Start button, CloudSwyft Lab opens in a new window. Click on Request Lab Provision.

<img alt="" src="https://raw.githubusercontent.com/BerksVC/CSRepo/main/CLMP%20First%20Launch.png" />

Select the Introduction to Python Programming, then click Send Request. Provisioning will take between 12-24 hours.

Once your account has been registered and your lab provisioned, you can log in to see and launch your lab sessions.

 

If your lab has been provisioned successfully, you may click on the Start icon to access your lab.

<img alt="1666077032-image.png" src="https://s3.ap-southeast-2.amazonaws.com/s3.go1.service/cloud-swyft.mygo1.com/apiom/5492232/1666076972/1666077032-image.png" />

Once you see the Launch icon, click on it too.

<img alt="1666077006-image.png" src="https://s3.ap-southeast-2.amazonaws.com/s3.go1.service/cloud-swyft.mygo1.com/apiom/5492232/1666076948/1666077006-image.png" />

The first time you launch your lab session, a unique workplace will be created for your labs. All the information, software, and data you require will be pre-installed with shortcuts on your desktop.

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You may also be asked to join Microsoft Teams. You do NOT need to do this! You can click X on the top right to close out of both of these options.
</blockquote>

<a href="https://ibb.co/7thD3vZ"><img alt="2" src="https://i.ibb.co/Zz9rQdF/2.png" /></a>

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Click Yes to close the network connection window.
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<a href="https://ibb.co/xzjXfMt"><img alt="Screenshot-2021-09-14-190606" src="https://i.ibb.co/wpWBwKF/Screenshot-2021-09-14-190606.png" /></a>

Click on the Lab Activity icon in order to view and follow the lab activity instructions and exercises you need to perform for your course or lab class.

Click on Next on your Lab Activities so you can read further lab instructions.

<a href="https://imgbb.com/"><img alt="Screenshot-2021-10-13-144055" src="https://i.ibb.co/S6KzM51/Screenshot-2021-10-13-144055.png" /></a>

<blockquote>
A reminder to log out of your lab session whenever you are done with your lab by clicking on the Shutdown icon at the upper right-hand corner of the Lab Session Window screen before returning to your course. Click Yes to confirm and return to your course. You need to ensure that you log out of your lab session in order to stop the access clock.
</blockquote>

<blockquote>
Do not shut down the machine from within the virtual machine.
</blockquote>

The file below provides step-by-step instructions on how to sign-up, access the labs, and how to use Remote Desktop Connection. Click the <a href="https://cloudswyft.sharepoint.com/:b:/s/FRStargzfiles/EYKniqstc4RNlvmfdozgTfoBlTwCEoyVMNqcR-3t64SlMg?e=WsVyHb">Student Guide</a> to download these instructions.

If you encounter any Hands-On Lab problems, please reach out to <a href="mailto:support@cloudswyft.com">CloudSwyft Support</a>.

Test Launch your CloudSwyft Labs

Start Here

Welcome to your first lesson on Python basics. In this video, you will be introduced to Python for data science. Python is a popular and highly versatile language that is used for storing, manipulating and deploying data science tools for your own analysis.

It is a general-purpose programming language which you can use to build software.

Lecture: Hello Python!

Knowledge Checks: Hello Python!

In this activity, you will learn that Python is a great calculator. However, to do more complex calculations, you’ll need to define a variable. Once you have created (or declared) a variable you can, at a later stage, call up its value. In this video, you will learn more about what that entails.<h2>Further Readings</h2>To learn more about Python’s recent developments, you can visit <a href="https://www.futurelearn.com/courses/introductiontopl/3/steps/www.python.org">https://www.python.org</a>, the official home page of the Python programming language. Here you’ll find guidelines to get started with Python on your own system.In the <a href="https://docs.python.org/3/library/stdtypes.html#numeric-types-int-float-complex">Python documentation</a>, you can read more about the different data types we’ve discussed. Don’t let this comprehensive documentation scare you. Try to read through it and see which parts you can already understand. The more advanced you are in Python, the more you’ll encounter huge documentation pages where you have to find the bits of information you need to solve your problem. The sooner you learn how to do this, the better!You are learning Python 3 in this course. When going through Python documentation, make sure that you’re reading about Python 3, and not Python 2. The differences are not big but can be hard to spot and confusing to new users.

Lecture: Variables and Types

Knowledge Checks: Variables and Types

Welcome to your first CloudSwyft Hands-On Lab session.

Follow the instructions below to successfully launch and complete your Hands-On Lab. Once you have read these instructions launch your CloudSwyft Hands-On Lab Session by clicking on the Launch button below.

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Note: CloudSwyft’s Hands-On Lab environments are best launched and accessed on the latest Google Chrome browser with a stable internet connection.
</blockquote>

Once you have logged on and selected the Introduction to Python Programming icon, you will be directed to your desktop:

<img alt="CloudSwyft Labs Home Screen" src="https://ugc.futurelearn.com/uploads/assets/2a/3e/hero_2a3e3698-6a26-4b6c-95ac-62c2673e37f6.png" />

 

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Note: When you are finished, please log out of your lab session by clicking on the X icon marked in red at the upper right-hand corner of the lab session page. Click Yes to confirm and return to your course:
</blockquote>

<img alt="CloudSwyft Labs logging out of lab session with x on top right" src="https://ugc.futurelearn.com/uploads/assets/6b/02/hero_6b02a6d6-f644-4a2b-a36a-8e60142c26e9.png" />

<blockquote>
NB: Do not shut down the machine from within the virtual machine.
</blockquote>

Enjoy your Hands-On Lab learning session!

If you encounter any lab problems, please reach out to <a href="mailto:support@cloudswyft.com">CloudSwyft Support</a>.

CloudSwyft Hands-On Learning: Lab Check 1

1. Python Basics

In this section, you will be introduced to Python lists and learn how information can be stored in Python lists. You will also learn that there are lists within lists, and that Python lists contain tools to subset and adapt.

A list is a very versatile data type available in Python, and creating a list is as simple as putting comma-separated values between square brackets. The important thing about a list is that items in a list need not be of the same type:

<img alt="3 types of lists - a string of elements, numbers or characters" src="https://ugc.futurelearn.com/uploads/assets/ef/25/hero_ef25d51a-8c3c-41b9-bdbc-d3a56b72d0fe.png" />

Lecture: Python Lists

Knowledge Checks: Python Lists

This activity explains what can be done once you have created a Python list. Some of these aspects include indexing and slicing.

Indexing simply means referring to an element in a list based on its position in the list (starting from 0): <img alt="Indexing a number in a list - starting with 0, 1, 2, 3, etc" src="https://ugc.futurelearn.com/uploads/assets/d9/1d/hero_d91d11d4-630f-4ddc-b8a3-174b0476b5eb.png" />

Slicing means taking elements from one given index to another given index using [start:end]: <img alt="Slicing elements or selecting from a string of elements using square brackets and start:end" src="https://ugc.futurelearn.com/uploads/assets/1f/36/hero_1f36ee20-72cb-4f9c-bea8-2128dd011e1a.png" />

Lecture: Subsetting Lists

Knowledge Checks: Subsetting Lists

The final aspect of Python lists, which you will learn about in this activity, is ‘manipulation’. Manipulation is the way in which you can change elements in your list, or add elements to and remove elements from your list.

<h2>Futher Reading</h2>

To get a deeper insight into Python lists, you can check out the <a href="https://docs.python.org/3.5/tutorial/datastructures.html">official documentation on Data Structures</a>. If you don't understand everything in there (such as the <code>append()</code> method for example), don't worry: We'll get to that soon enough.

At the end of the third video, Filip pointed out the difference between copying the list contents, and a reference to the list. He pointed out that this was only a simplified version of the story. If you're interested in the bigger picture, you can go through <a href="https://docs.python.org/3.5/library/copy.html">this documentation page</a>.

Lecture: Manipulating Lists

Knowledge Checks: Manipulating Lists

Welcome to your second CloudSwyft Hands-On Lab session.

Follow the instructions below to successfully launch and complete your Hands-On Lab. Once you have read these instructions launch your CloudSwyft Hands-On Lab Session by clicking on the Launch button below.

<blockquote>
Reminder: CloudSwyft’s Hands-On Lab environments are best launched and accessed on the latest Google Chrome browser with a stable internet connection.
</blockquote>

<h2>Lab Instructions</h2>

<ol>
	<li>
	Once you have logged on and selected the Introduction to Python Programming icon, you will be directed to your desktop:
	</li>
	<li>
	Click on the Lab Activity icon at the upper right-hand area of your live Hands-On Lab session to view and follow the lab activity instructions, as well as the exercises you need to perform for your course or lab class.
	</li>
</ol>

<blockquote>
Note: All the required exercise files are available on the CloudSwyft Hands-On Lab environment.
</blockquote>

When you are finished, please log out of your lab session by clicking on the X icon marked in red at the upper right-hand corner of the lab session page. Click Yes to confirm and return to your course.

<blockquote>
NB: Do not shut down the machine from within the virtual machine.
</blockquote>

Once you have completed your lab, return to the course and continue to work through the course content.

Enjoy your Hands-On Lab learning session! If you encounter any lab problems, please reach out to <a href="mailto:support@cloudswyft.com">CloudSwyft Support</a>.

CloudSwyft Hands-On Learning: Lab Check 2

2. List - A Data Structure

In the first lesson on Python basics, we will be introducing you to ‘functions’, ‘methods’ and ‘objects’ as well as the use of Python packages. Let us start off with telling you what these terms mean.

Functions are an essential part of the Python programming language. You might have already encountered and used some of the many fantastic functions that are built into the Python language, or that come with its library ecosystem. However, as a data scientist, you’ll constantly need to write your own functions to solve problems that your data poses to you.

In this video, you will be introduced to functions. A function is a piece of reusable code aimed at solving a particular task, and you can call a function instead of having to rewrite code yourself.

Lecture: Functions

Knowledge Checks: Functions

In Python, everything is an object and each object has a specific method associated with it. Methods are functions that ‘belong’ to Python objects. The available methods are dependent on the object type.

In this activity, you will learn to call and use a method.

Lecture: Methods

Knowledge Checks: Methods

‘Packages’ are directories of Python scripts. Each script is a so-called module that specifies functions, methods and new Python types aimed at solving particular problems. There are thousands of Python packages such as packages for data science, data visualisation, and machine learning.

In this activity, you will learn how to import packages and modules.

<h2>Futher Readings</h2>

The blogs, tutorials and documentation written about this topic are extensive. To get a concise, yet detailed, write up about functions, you can head over to <a href="http://www.tutorialspoint.com/python/python_functions.htm">TutorialsPoint</a>.

Methods are closely related to the OOP/Object Oriented Programming in Python. To get a taste for that, take a look at this <a href="https://www.jeffknupp.com/blog/2014/06/18/improve-your-python-python-classes-and-object-oriented-programming/">blogpost</a>.

To learn more about how packages (or modules) work under the hood, you can go through this <a href="https://docs.python.org/3/tutorial/modules.html">documentation page</a>. It’s a technical read but will give you the bigger picture. If you want to take it to the next level, the page also tells you how to create your own modules and packages in Python.

Lecture: Packages

Knowledge Checks: Packages

Welcome to your third CloudSwyft Hands-On Lab session.

Follow the instructions below to successfully launch and complete your Hands-On Lab. Once you have read these instructions launch your CloudSwyft Hands-On Lab Session by clicking on the Launch button below.

<blockquote>
Reminder: CloudSwyft’s Hands-On Lab environments are best launched and accessed on the latest Google Chrome browser with a stable internet connection.
</blockquote>

<h2>Lab Instructions</h2>

<ol>
	<li>
	Once you have logged on and selected the Introduction to Python Programming icon, you will be directed to your desktop.
	</li>
	<li>
	Click on the Lab Activity icon at the upper right-hand area of your live Hands-On Lab session to view and follow the lab activity instructions, as well as the exercises you need to perform for your course or lab class.
	</li>
</ol>

<blockquote>
NB: Do not shut down the machine from within the virtual machine.
</blockquote>

Enjoy your Hands-On Lab learning session! If you encounter any lab problems, please reach out to <a href="mailto:support@cloudswyft.com">CloudSwyft Support</a>.

CloudSwyft Hands-On Learning: Lab Check 3

3. Functions and Packages

In this activity, you will learn about ‘NumPy’, which is short for Numeric Python. It’s a Python package that, amongst other things, provides an alternative to the regular Python list. The NumPy array is fairly similar to a regular Python list but has one additional feature: You can perform calculations over entire arrays.

<h2>Further Readings</h2>

For more information on NumPy, read the following information on the <a href="https://numpy.org/">NumPy.org</a> website.

Lecture: NumPy

Knowledge Checks: NumPy

2D NumPy arrays are, essentially, improved lists of lists. You can perform calculations on the arrays, as well as carry out more advanced ways of subsetting. 2D NumPy arrays also enable you to do element-wise calculations.

In this activity, you will learn about creating and subsetting 2D NumPy arrays. In this activity, you will learn to add dimension to your data.

Lecture: 2D NumPy Arrays

Knowledge Checks: 2D NumPy Arrays

In this video, students will learn how to start understanding their data.

Lecture: Basic Statistics with NumPy

Knowledge Checks: Basic Statistics with NumPy

Launch your CloudSwyft Hands-On Lab session by clicking on the ‘Launch’ button below. The lab session will launch in a new tab.

<blockquote>
Reminder: CloudSwyft’s Hands-On Lab environments are best launched and accessed on the latest Google Chrome browser with a stable internet connection.
</blockquote>

<h2>Lab Instructions</h2>

<ol>
	<li>
	Once you have logged on and selected the Introduction to Python Programming icon, you will be directed to your desktop.
	</li>
	<li>
	Click on the Lab Activity icon at the upper right-hand area of your live Hands-On Lab session to view and follow the lab activity instructions, as well as the exercises you need to perform for your course or lab class.
	</li>
</ol>

<blockquote>
NB: Do not shut down the machine from within the virtual machine.
</blockquote>

Enjoy your Hands-On Lab learning session! If you encounter any lab problems, please reach out to <a href="mailto:support@cloudswyft.com">CloudSwyft Support</a>.

.

CloudSwyft Hands-On Learning: Lab Check 4

4. Numpy

In this activity, you will learn more about rational operators (which you use to see how two Python values relate) and how to combine the results. By the end of the activity, you will be able to demonstrate an understanding of relational operators, logical operators, and control flow.

You need to understand how to use a Boolean array to subset an array, depending on a condition. Let’s explore relational operators further: Relational and equality operators are used to identify the relationship between two operands. For example, if one value is greater than, smaller than, or equal to another, it returns a value of ‘true’ or ‘false’.

The next step is to combine the results of the relational operations, i.e. Booleans, using logical operators such as ‘AND’, ‘OR’, and ‘NOT’. It gets really interesting when you can use relational operators and logical operators to change how your programme behaves.

Let’s explore this further.

Lecture: Boolean Logic and Control Flow

Knowledge Checks: Boolean Logic and Control Flow

You’ve learned about the 2D NumPy array that houses data in a rectangular structure, but this only allows data of the same type. In practice, you’ll be working with different data types such as numerical values, strings and Booleans.

To easily and efficiently handle different types of data, we will use Pandas. Pandas is a high-level data manipulation tool used by data scientists all over the world. Pandas is one of the main data science libraries in Python.

In Pandas, data is stored in DataFrames. Let’s explore this further.

<h2>Further Reading</h2>

The if-else construct is not the only control structure available in Python. There’s also while and for, amongst others. If you want to read more about all the <a href="https://docs.python.org/3.5/tutorial/controlflow.html">control structures</a> that Python features, have a look at this documentation page. For an overview about <a href="https://docs.python.org/3/library/stdtypes.html#boolean-operations-and-or-not">comparators and Boolean operations</a>, you can check out another documentation page.

The community around Pandas is growing by the minute. There’s a dedicated website, as Pandas is one of the main data science libraries in Python. You can read about the latest developments in Pandas and download several versions on the <a href="http://pandas.pydata.org/">Pandas website</a>.

Lecture: Pandas

Knowledge Checks: Pandas

Launch your CloudSwyft Hands-On Lab session by clicking on the ‘Launch’ button below. The lab session will launch in a new tab.

<blockquote>
Reminder: CloudSwyft’s Hands-On Lab environments are best launched and accessed on the latest Google Chrome browser with a stable internet connection.
</blockquote>

<h2>Lab Instructions</h2>

<ol>
	<li>
	Once you have logged on and selected the Introduction to Python Programming icon, you will be directed to your desktop.
	</li>
	<li>
	Click on the Lab Activity icon at the upper right-hand area of your live Hands-On Lab session to view and follow the lab activity instructions, as well as the exercises you need to perform for your course or lab class.
	</li>
</ol>

<blockquote>
NB: Do not shut down the machine from within the virtual machine.
</blockquote>

Enjoy your Hands-On Lab learning session! If you encounter any lab problems, please reach out to <a href="mailto:support@cloudswyft.com">CloudSwyft Support</a>.

CloudSwyft Hands-On Learning: Lab Check 5

5. Control Flow and Pandas

It’s time to learn about data visualisation, which is a very important part of data analysis. First of all, you will use it continuously to explore your dataset. The better you understand your data, the better you’ll be able to extract insights. In turn, visualisation will help you share your insights with others in a way that is easily understood.

By creating intriguing plots, data can be visualised to tell its own story. In Python, data can be plotted using a visualisation package called Matplotlib.

Let’s explore the basics of Matplotlib, and learn how to create beautiful line plots and scatter plots.

Lecture: Basic Plot with matplotlib

Knowledge Checks: Basic Plots with Matplotlib

The histogram is a particularly useful type of visualisation that can help you explore your data sets and get an impression of the distribution of your variables.

To build a histogram, you can divide a number line with various values into equal parts called bins. Count the number of data points within each bin and then draw a bar for each bin. The height of the bar corresponds with the number of data points that fall within that particular bin. The result is a histogram that provides an overview of how values can be developed or distributed.

Histograms can also be built using Matplotlib. Let’s explore this further.

Lecture: Histograms

Knowledge Checks: Histograms

Data visualisation is both a science and an art. You have to use your intelligence to understand the data, and your creativity to make the data tell a story. For each visualisation, you have many options. In this activity, you will learn how to customise plots by changing colours, shapes, labels and axes.

<h2>Further Reading</h2>

Matplotlib is not the only package for data visualisation in Python. A great package is ggplot, a part of a very popular R package called ggplot2. It’s based on the so-called grammar of graphics, a term coined by Leland Wilkinson who wrote some excellent books on data visualisation.

Getting started with a visualisation from scratch can be very difficult. You’ll typically want a base example and then adapt that example to work with your own data and customisations. You can find a ton of Matplotlib examples in this <a href="https://matplotlib.org/3.1.1/gallery/index.html">gallery</a>. Have a look at them before you start your own visualisations. It will save you a ton of time!

Lecture: Customization

Knowledge Checks: Customization

Launch your CloudSwyft Hands-On Lab session by clicking on the ‘Launch’ button below. The lab session will launch in a new tab.

<blockquote>
Reminder: CloudSwyft’s Hands-On Lab environments are best launched and accessed on the latest Google Chrome browser with a stable internet connection.
</blockquote>

<h2>Lab Instructions</h2>

<ol>
	<li>
	Once you have logged on and selected the Introduction to Python Programming icon, you will be directed to your desktop.
	</li>
	<li>
	Click on the Lab Activity icon at the upper right-hand area of your live Hands-On Lab session to view and follow the lab activity instructions, as well as the exercises you need to perform for your course or lab class.
	</li>
</ol>

<blockquote>
NB: Do not shut down the machine from within the virtual machine.
</blockquote>

Enjoy your Hands-On Lab learning session! If you encounter any lab problems, please reach out to <a href="mailto:support@cloudswyft.com">CloudSwyft Support</a>.

CloudSwyft Hands-On Learning: Lab Check 6

6. Plotting with Matplotlib

Post-Assessment

Congratulations! You’ve completed the Introduction to Python Programming course! I hope you’ve enjoyed learning as much as we did create and delivering this course.

Here is a reminder of some Python Libraries for Data Science and some that we have explored in this course.

<img alt="Python Libraries for Data Science - a list of ETL, Data Science, Date Evalution, Data Modeling and Data Presentation libraries" src="https://ugc.futurelearn.com/uploads/assets/c1/05/hero_c10579e1-6968-43ec-94ed-92b1f48758ae.png" />

Thank you for joining us on this course and we hope to see you again in future courses from CloudSwyft, Microsoft, and Go1.

Introduction to Python Programming

What you'll learn

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