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Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming

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Immerse yourself in learning Python and introductory data analytics with this book’s project-based approach. Through the structure of a ten-week coding bootcamp course, you’ll learn key concepts and gain hands-on experience through weekly projects.

Each chapter in this book is presented as a full week of topics, with Monday through Thursday covering specific concepts, leading up to Friday, when you are challenged to create a project using the skills learned throughout the week. Topics include Python basics and essential intermediate concepts such as list comprehension, generators and iterators, understanding algorithmic complexity, and data analysis with pandas. From beginning to end, this book builds up your abilities through exercises and challenges, culminating in your solid understanding of Python.

Challenge yourself with the intensity of a coding bootcamp experience or learn at your own pace. With this hands-on learning approach, you will gain the skills you need to jumpstart a new career in programming or further your current one as a software developer.

What You Will Learn



• Understand beginning and more advanced concepts of the Python language
• Be introduced to data analysis using pandas, the Python Data Analysis library
• Walk through the process of interviewing and answering technical questions
• Create real-world applications with the Python language
• Learn how to use Anaconda, Jupyter Notebooks, and the Python Shell

Who This Book Is For

Those trying to jumpstart a new career into programming, and those already in the software development industry and would like to learn Python programming.

ISBN-13: 9781484253540

Media Type: Paperback

Publisher: Apress

Publication Date: 11-16-2019

Pages: 332

Product Dimensions: 6.90(w) x 9.90(h) x 0.80(d)

Focused on helping others achieve their goals through education and technology, Connor Milliken brings a wealth of programming and business experience to his classes. He graduated with a Computer Science degree from Daniel Webster College and is pursuing a master’s in computer science with a focus in machine learning from Georgia Tech. Before becoming an instructor at Coding Temple, he was designing simulators in the video game industry for several years. During that time, he took on a vast number of roles from business to programming that he used to release a total of eleven different titles on PC and co-created an award-winning football card game called “Masters of the Gridiron”. Connor has experience in more than seven different languages and three frameworks. He focuses primarily in Web Development and Data Analytics using Python.

Table of Contents

Week 1 / Day 1: Getting Started & Setup


Chapter Goal: The first week of any course is always slow. It will encompass setting up your environment, information about the book itself and python, terminal commands, how to use the tools you’ve downloaded and eventually end in creating a small 7-10-line project. Now the project will be basic but will incorporate concepts that students won’t understand yet. The reason for this is to get them to see the power of Python in action, which will create a desire to read further.


No of pages 15


Sub -Topics


1. Monday: Introduction (Why python? Who is this for? Etc.)
2. Tuesday: Setting up Anaconda and Python
3. Wednesday: How to Use the Terminal
4. Thursday: Using Jupyter Notebook

5. Friday: Creating Your First Program



Week 2 / Day 2: Python Basics


Chapter Goal: This week begins the readers journey into becoming a Python programmer. They will begin to understand basic syntax, what kinds of data types there are, how to save information into variables, and how to manipulate strings. The Friday project session will take all these lessons and walk the reader through making a receipt printing program that neatly prints out the information saved in variables. The most important lesson this week will be variables, which will encompass most pages to deeply explain why they are important and how they are used.


No of pages: 20


Sub - Topics


1. Monday: Comments & Basic Data Types (numbers, strings, booleans, lists)
2. Tuesday: Variables
3. Wednesday: Working with Strings (concatenation, format)
4. Thursday: String Manipulation

5. Friday: Creating a Receipt Printing Program



Week 3 / Day 3: User Input & Branching Statements


Chapter Goal: Having already understood how to save information into variables, this week will begin to make use of the conditional statements. The reader will have the ability to create a working calculator at the end of the week, while taking in two numbers and choosing to add, delete, multiply, or divide them.


No of pages: 20


Sub - Topics:


1. Monday: User Input & Type Converting
2. Tuesday: If Statements
3. Wednesday: Elif Statements
4. Thursday: Else Statements
5. Friday: Creating a Calculator


Week 4 / Day 4: Lists & Loops


Chapter Goal: Lists are one of the most important concepts of Python, which is why they are covered over the course of two days. The ability to add, read, and remove information from lists is pivotal going forward. The other major concept covered is loops. Again, one of the more important programming concepts it will be covered over two days with two separate types of loops. A small working game of Hangman will be created by the end using both concepts.


No of pages: 20


Sub - Topics:


1. Monday: Lists
2. Tuesday: For Loops
3. Wednesday: While Loops
4. Thursday: Working with Lists

5. Friday: Creating Hangman



Week 5 / Day 5: Functions


Chapter Goal: This concept has always been one of the tougher for new programmers to learn, which is why it has a full week by itself. Readers will be able to understand why functions are useful, how they are used, and when you should use them. We will then create a full working shopping cart in Python using functions to add, remove, and show items within the cart.


No of pages: 20


Sub - Topics:


1. Monday: Creating & Calling Functions
2. Tuesday: Parameters
3. Wednesday: Return Statement
4. Thursday: Scope

5. Friday: Creating a Shopping Cart



Week 6 / Day 6: Data Collections & Working with Files


Chapter Goal: Most of the major concepts have already been covered in previous weeks, so this week will focus on expanding the reader’s knowledge of data types and collections in Python, as well as how to use files. We will program a fake database back-end using Python and CSV files together.


No of pages: 15


Sub - Topics:


1. Monday: Dictionaries
2. Tuesday: Working with Dictionaries
3. Wednesday: Tuples, Sets, Frozensets
4. Thursday: Reading and Writing Files
5. Friday: Creating a User Database with CSV Files


Week 7 / Day 7: Object-Oriented Programming with Python Classes


Chapter Goal: As hard as functions are to understand, OOP with classes is even tougher. This full week will cover what OOP is, how and why it is used, and eventually go over how to create a full-fledged blackjack game together.


No of pages: 20


Sub - Topics:


1. Monday: Creating and Instantiating a Class
2. Tuesday: Attributes
3. Wednesday: Methods
4. Thursday: Inheritance
5. Friday: Creating Blackjack

Week 8 / Day 8: Advanced Python Topics I


Chapter Goal: This week begins the advanced section of Python, which will cover items that your everyday developer uses to make their lives easier. The understanding of this chapter will help for solidifying the reader’s computer science skills.


No of pages: 15


Sub - Topics:


1. Monday: List Comprehension
2. Tuesday: Lambda Functions
3. Wednesday: Map, Reduce, and Filter
4. Thursday: Recursive Functions & Memoization
5. Friday: Writing a Binary Search


Week 9 / Day 9: Advanced Python Topics II


Chapter Goal: This week is the continuation of advanced python concepts and will cover more topics that a developer has to understand on the job. At the end of the week several interview questions will be showcased, as well as how to answer them, even a rare question from some Google interviews.


No of pages: 15


Sub - Topics:


1. Monday: Generators and Iterators
2. Tuesday: Decorators
3. Wednesday: Modules
4. Thursday: Understanding Algorithmic Complexity
5. Friday: Answering a Google Interview Question


Week 10 / Day 10: Introduction to Data Analysis


Chapter Goal: The final chapter covering the Python concepts will give readers an introduction into what it takes to be a data analysis. It will cover libraries used in the industry, as well as APIs. By the end users will be able to understand how to analyze data using Pandas.


No of pages: 30


Sub - Topics:


1. Monday: Virtual Environments and the Requests Module
2. Tuesday: Using Pandas
3. Wednesday: Graphing Data
4. Thursday: Web Scraping
5. Friday: Generating and Analyzing Fake Data


Project 1: Monster Dungeon Game with Python


Chapter Goal: The first of three projects, readers will program a larger-scale project called “Dungeon Monsters”. The game will showcase the ability to create games from start to finish using the Python language. Reader’s will use all the concepts learned from weeks 1-8 to make a fun project.


No of pages: 25


Sub - Topics:


1. Variables
2. Functions
3. Classes
4. Data Structures
5. File I/O
6. Loops
7. Branching Statements


Project 2: Creating a Weather Application with Flask


Chapter Goal: The second of three projects, students will learn the basics of the Flask microframework and web development. This will be quite a large application, showing the ability to call APIs and display weather information neatly using Bootstrap 4. It is assumed that readers have a base knowledge of HTML and CSS in order to complete this project. Once completed, they will be able to host it on Heroku and view it on their phone from anywhere.


No of pages: 40


Sub - Topics:


1. Flask
2. APIs
3. Modules
4. Web Development
5. Bootstrap 4
6. Git and Github
7. Deploying to Heroku
8. Routing
9. Jinja2 Templating
10. Virtual Environments
11. Using the Requests Module
12. Mobile Optimization


Project 3: Analyzing Baseball Statistics Using Pandas and Web Scraping


Chapter Goal: The third of the three projects, will use the skills learned in week 10 to analyze baseball data over the past 20 years. Readers will be able to web scrape data from a reputable source and graph the averages of several statistics to generate a hypothesis from the data shown.


No of pages: 20


Sub - Topics:


1. Pandas
2. Matplotlib
3. Requests
4. BeautifulSoup4
5. Data Analysis
6. Virtual Environments
7. File I/O