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Green Chameleon Learning

Learn Python, a programming language with a wide variety of well-paying jobs in many fields, including data science and web development. 

It is relatively easy to learn when compared to pretty much any other programming language since most of the time, using Python to do something will take less lines of code than with another programming language.

In this course, you will be taught the fundamentals of Python through video lectures, quizzes, review exercises, and programming challenges.

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What's inside

Learning objectives

  • Program fluently in python
  • Use pycharm to write their python programs
  • Understand computer science concepts such as flow control and functions

Syllabus

Introduction
Python and Pycharm Installation
Setup and First Project
Python Basics
Read more
Variables and Assignment
Basic Data Types
Variables and Assignment Exercises
Variables and Assignment Exercises Solution
Comments and Math Operators
Comments and Math Operators Quiz
Comments and Math Operators Review Exercises
Comments and Math Operators Review Exercise Solution
print()
print() exercises
print() exercises solutions
More On Floats
More On Floats Quiz
Programming Challenge: Grocery Store Purchase
Grocery Store Purchase Solution with integers
Grocery Store Purchase Solution with round()
Strings Part 1
strings
Strings Exercises
Strings Exercises Solution
type() and str()
Escape Sequences
type(), str(), and escape sequences exercises
type(), str(), and escape sequences exercises solution
Programming Challenge: Asterisk Triangle
Asterisk Triangle Solution
input()
Programming Challenge: Monty Python
Monty Python Solution
int() and float()
int() exercise
int() exercise solution(s)
functions
function with no parameters exercise
function with no parameters exercise solution
function with 1 parameter exercise
function with 1 parameter exercise solution
Programming Challenge: Volume of a Rectangular Prism
Volume of a Rectangular Prism Solution
Programming Challenge: Celsius to Fahrenheit
Celsius to Fahrenheit Solution with integers
Celsius to Fahrenheit Solution with round()
importing modules
Programming Challenge: Miles Per Gallon
Miles Per Gallon Solution
variable scope
variable scope quiz
flow control
Intro to Flow Control
comparison operators quiz
boolean operators quiz
if statements
else statements
nested if and else statements
Programming Challenge: Grade Determiner
Grade Determiner Solution
elif statements
Programming Challenge: Roman Numeral Equivalent
Roman Numeral Equivalent Solution
truthy and falsey values
introduction to loops
while loops
While Loops Exercise
While Loops Exercise Solution
Programming Challenge: Sum of Numbers From A Positive Integer
Sum of Numbers From a Positive Integer Solution
for loops
For Loops Exercise
For Loops Exercise Solution
Programming Challenge: Find The Number of Characters in A String
Find The Number of Characters in A String Solution
range()
range() quiz
Programming Challenge: Fizz Buzz
Fizz Buzz Solution
Programming Challenge: Factorial
Factorial Solution
strings part 2
string methods 1
string methods 1 exercises
string methods 1 exercise solutions
string methods 2
string methods 2 exercises
string methods 2 exercise solutions
len()
Programming Challenge: String Reverser
String Reverser Solution
Programming Challenge: Word Counter
Word Counter Solution
.format()
lists
introduction to lists
introduction to lists exercises
introduction to lists exercises solutions
indexes and list slicing

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Uses Pycharm, a popular IDE, which can help new programmers manage their projects and write code more efficiently
Covers fundamental computer science concepts like flow control and functions, which are essential for building a strong programming foundation
Includes numerous programming challenges with solutions, providing hands-on practice and immediate feedback for learners
Teaches Python, which is known for its readability and ease of use, making it an excellent choice for those new to programming
Features quizzes and review exercises throughout the course, reinforcing learning and helping students assess their understanding of key concepts
Focuses on Python basics, such as variables, data types, and operators, which are crucial for building a solid foundation in programming

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python for Absolute Beginners with these activities:
Review Basic Math Concepts
Reinforce foundational math skills to better understand numerical operations and logic within Python.
Browse courses on Order of Operations
Show steps
  • Review order of operations (PEMDAS/BODMAS).
  • Practice basic arithmetic problems (addition, subtraction, multiplication, division).
  • Solve problems involving integers and floats.
Read 'Python Crash Course'
Supplement course material with a project-based approach to learning Python.
Show steps
  • Read the chapters covering basic Python syntax and data structures.
  • Work through the example projects provided in the book.
  • Modify and extend the projects to explore different functionalities.
Read 'Automate the Boring Stuff with Python'
Explore practical applications of Python to solidify understanding of fundamental concepts.
Show steps
  • Read the first few chapters covering basic Python syntax and data types.
  • Try out the code examples provided in the book.
  • Attempt the practice projects at the end of each chapter.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Basic Python Exercises on HackerRank
Practice coding problems to reinforce understanding of Python syntax and problem-solving skills.
Show steps
  • Create an account on HackerRank.
  • Navigate to the Python section.
  • Solve the introductory problems focusing on data types, operators, and control flow.
Write a Blog Post on Python Data Types
Explain Python data types in your own words to solidify understanding and improve communication skills.
Show steps
  • Choose a specific data type (e.g., strings, lists, dictionaries).
  • Research the data type and its properties.
  • Write a blog post explaining the data type with examples.
Create a Simple Calculator Program
Apply learned concepts to build a functional program, reinforcing understanding of variables, operators, and functions.
Show steps
  • Define functions for addition, subtraction, multiplication, and division.
  • Take user input for two numbers and the desired operation.
  • Call the appropriate function based on user input and display the result.
Answer Python Questions on Stack Overflow
Reinforce your understanding by helping others with their Python problems.
Show steps
  • Create an account on Stack Overflow.
  • Search for questions tagged with 'python'.
  • Answer questions you feel confident in addressing, providing clear and concise explanations.

Career center

Learners who complete Python for Absolute Beginners will develop knowledge and skills that may be useful to these careers:
Software Developer
A software developer designs, develops, and maintains software applications. They write code, test, and debug programs, often working in teams to build sophisticated systems. Learning Python, as this course teaches, is an important step for anyone looking to become a software developer. The course content, including fundamental programming concepts, will be vital for a career creating software. This course helps a developer build a foundation and teaches the Python programming language, which is a popular choice for software development. The course also emphasizes the use of Pycharm, an integrated development environment used by professionals. Students wishing to become a software developer should take this course.
Data Analyst
A data analyst examines data to identify trends, draw conclusions, and provide insights to help organizations make better decisions. Often, data analysts use programming to clean, transform, and analyze large datasets. This course teaches the fundamentals of Python, a programming language widely used in data analysis because of its extensive libraries and ease of use. The course, by teaching programming fundamentals, helps a data analyst become proficient in this area. The content of this course, including learning how to program with flow control, could greatly help a data analyst become more efficient and effective. This course may be valuable to someone looking to enter data analysis.
Web Developer
A web developer creates and maintains websites and web applications. They work on the front end, the part users see and interact with, as well as the back end, the server-side code that powers the website. Web developers use programming languages like Python to handle the server side. This course may be useful because it teaches Python, a language that is popular for web development. The course can help a web developer by teaching the fundamentals of Python, including how to write programs and use an integrated development environment. Taking this course may help get you on the path to becoming a web developer.
Data Engineer
A data engineer is responsible for building and maintaining the infrastructure for data storage and processing. They design and implement systems for extracting, transforming, and loading data. Data engineers often use programming to build data pipelines. This course teaches the fundamentals of Python, a language commonly used in data engineering. The lessons on programming concepts and flow control can help a data engineer by giving them more flexibility and capabilities in their work. This course may help a data engineer.
Machine Learning Engineer
A machine learning engineer develops and implements machine learning models and algorithms. They work with large datasets to train models, solve real-world problems, and often conduct research in the field. Machine learning engineers will use Python as their programming language of choice. This course covers the fundamentals of programming in Python and teaches how to use the language. By mastering the fundamentals of Python, a machine learning engineer can accelerate their workflow. This course may be extremely beneficial to anyone wishing to take up a career in machine learning engineering.
Automation Engineer
An automation engineer designs, develops, and implements automated systems. This work is done in manufacturing, software testing, operations research, and other fields. A large part of automation involves programming. Since this course teaches the fundamentals of Python, a programming language often used in automation, it may be useful to an automation engineer. The course introduces such concepts as flow control and functions, which are important components of automation systems. This course may help build a foundation for an automation engineer.
Research Scientist
A research scientist designs and conducts experiments to test hypotheses and collect data. Research scientists can be found in many fields like biology, physics, and computer science. In many of these fields, research scientists use programming to manipulate and analyze their data. This course teaches Python, a programming language widely used in research because of its simplicity and the availability of scientific libraries. The concepts of flow control and functions taught in this course may be valuable. A person looking for a job as a research scientist may find this course useful.
Bioinformatician
A bioinformatician applies computer science and statistics to solve biological problems. They often work with large genomic data sets. They use programming languages like Python to develop tools for data analysis. Since this course goes over the fundamentals of programming in Python, it can be extremely helpful to a bioinformatician. This course goes over many fundamental concepts such as flow control, and functions. This course may be useful for a person aspiring to become a bioinformatician.
Quality Assurance Tester
A quality assurance tester is responsible for designing and implementing tests. These tests should evaluate the quality and reliability of various kinds of software. They often write test scripts and automated tests using scripting languages. This course teaches the fundamentals of Python, a programming language often used in quality assurance to write various types of test scripts. This course can be valuable for a quality assurance tester by teaching them Python programming. By going through the course material, a quality assurance tester can improve their automation abilities. This course could be useful to someone looking to enter the field of quality assurance testing.
Database Administrator
A database administrator manages and maintains the performance, security, and integrity of databases. They may use programming languages like Python to automate tasks. This course teaches the fundamentals of Python, and may be useful to a database administrator by helping them automate some of their daily tasks. The course goes over the basics of programming, which is important to a database administrator. A database administrator could benefit greatly from taking this course.
Robotics Engineer
A robotics engineer designs, builds, and tests robots. They often use programming languages to control the robot and its movements. This course teaches the fundamentals of Python, a language which can be used to program robots. By learning the basics of programming in this course, a robotics engineer can better control and program their robots. A robotics engineer may find this a helpful course.
Technical Writer
A technical writer creates documentation for complex technical products, such as software. They write instructions, guides, and other materials for both technical and non-technical audiences. While this course does not directly teach technical writing, a technical writer will benefit from understanding the technical concepts behind the products they document. This course teaches the fundamentals of Python, a popular and essential programming language. A technical writer will be better able to understand and explain it by taking this course. This course may be useful to someone looking to become a technical writer.
System Administrator
A system administrator manages and maintains computer systems and networks. They often use scripting languages to automate tasks, configure systems, and perform other network related tasks. This course teaches Python, a programming language helpful to a system administrator. Completing this course will help a system administrator automate their daily tasks. This course may be useful to a system administrator who wants to increase their automation ability.
Financial Modeling Analyst
A financial modeling analyst builds financial models to assess investment opportunities and make predictions about financial performance. They use programming to automate data processing and create complex models. This course teaches the fundamentals of Python, which is used extensively in finance. This course can help a financial modeling analyst improve their ability to create financial models using code. The course may help a financial modeling analyst.
Game Developer
A game developer creates video games for various platforms. They work on everything from the core mechanics to the user interface of a game. Python can be used in game development to script game logic and behaviors. This course will be valuable to a game developer because it teaches the fundamentals of Python. The course also goes over the basics of flow control and functions, which are useful in game development. A game developer may benefit from this course.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python for Absolute Beginners.
Provides practical examples of how Python can be used to automate everyday tasks. It reinforces the concepts taught in the course by demonstrating real-world applications. It is particularly useful for beginners as it breaks down complex tasks into manageable steps. This book is often used as a supplementary textbook for introductory Python courses.
Offers a fast-paced, thorough introduction to Python. It's structured around building projects, which helps reinforce learning through practical application. It is valuable as additional reading to supplement the course material. It is commonly used as a textbook for introductory Python courses at universities and coding bootcamps.

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