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Python for Absolute Beginners

4.5 Filled star Filled star Filled star Filled star Half star
Based on 44,123 ratings
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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

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Uses Pycharm, which is a popular IDE, to help learners write and manage their Python programs, making it easier to organize projects
Covers variables, data types, operators, and functions, which are fundamental concepts for building a strong foundation in Python programming
Includes programming challenges such as 'Grocery Store Purchase' and 'Asterisk Triangle' to provide hands-on practice and reinforce learning
Explores flow control concepts like 'if', 'else', and 'elif' statements, which are essential for creating programs that make decisions
Introduces loops ('while' and 'for') and the 'range()' function, which are crucial for automating repetitive tasks and iterating over data
Teaches string methods and list manipulation, which are valuable skills for working with text and collections of data in Python

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Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

Solid python basics for beginners

According to learners, this course provides a strong foundation perfect for absolute beginners. Many students praise the instructor's ability to explain complex concepts clearly and find the numerous exercises and coding challenges particularly helpful for solidifying understanding. While the course is largely well-received, some reviewers note that the pacing can feel fast at times, requiring them to supplement their learning with external resources. A common suggestion for improvement is the inclusion of more substantial, real-world projects to apply learned skills more broadly. Overall, it's considered a solid starting point for those with no prior programming experience.
Helpful guide for Pycharm setup.
"The section on installing and setting up Pycharm was very helpful."
"Glad the course included how to use a professional IDE like Pycharm."
"Getting Pycharm set up smoothly was a good start."
Suitable for zero programming experience.
"Perfect course if you've never coded before."
"Starts from the absolute basics, exactly what I needed."
"Didn't require any prior knowledge, truly for beginners."
"I went from knowing nothing to writing simple programs."
Exercises solidify understanding.
"The coding challenges were really helpful for applying what I learned."
"I appreciate the numerous exercises after each section."
"Hands-on coding is crucial, and this course provides plenty."
"Doing the exercises really helped the concepts stick."
Instructor simplifies complex ideas.
"The instructor is amazing! Explains everything in simple terms..."
"His teaching style made learning Python feel easy and intuitive."
"I found the lectures very clear and easy to follow."
"The instructor breaks down concepts step-by-step."
Needs more real-world application projects.
"Wish there were more substantial projects to build."
"Most challenges are small; larger projects would be more helpful."
"Could use more examples showing how Python is used in real applications."
"More complex, integrated projects would improve the course."
Pacing can be fast, needs supplement.
"Sometimes the pace felt a bit rushed for an 'absolute beginner' course."
"I had to rewatch some videos and use external resources to fully grasp concepts."
"Could go a bit deeper into some topics."
"Some sections felt like they moved too quickly without enough practice."

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.
View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon
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.
View Automate the Boring Stuff with Python, 3rd... on Amazon
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.
See salaries and explore the career path for Software Developer
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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for Machine Learning Engineer
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.
See salaries and explore the career path for 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.
See salaries and explore the career path for Research Scientist
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.
See salaries and explore the career path for 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.
See salaries and explore the career path for Quality Assurance Tester
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.
See salaries and explore the career path for Database Administrator
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.
See salaries and explore the career path for Robotics Engineer
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.
See salaries and explore the career path for 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.
See salaries and explore the career path for System Administrator
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.
See salaries and explore the career path for 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.
See salaries and explore the career path for Game Developer

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.
Cover image
Automate the Boring Stuff with Python, 3rd Edition
Save
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.
Automate the Boring Stuff with Python, 3rd Edition
Kindle Edition
$$
Cover image
Python Crash Course, 3rd Edition
Save
Offers a fast-paced, thorough introduction to Python. It's structured around building projects, which helps reinforce learning through practical application. It is valuable as additional reading to supplement the course material. It is commonly used as a textbook for introductory Python courses at universities and coding bootcamps.
Python Crash Course, 3rd Edition: A Hands-On,...
Paperback
$$
Python Crash Course, 3rd Edition: A Hands-On,...
Kindle Edition
$$
Python Crash Course, 3rd Edition: A Hands-On,...
Spiral-bound
$$$
Python Crash Course, 3rd Edition: A Hands-On,...
Hardcover
$$$

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Rating
4.5 Filled star Filled star Filled star Filled star Half star
Effort
4.5 total hours
Via
Udemy
Instructor
Green Chameleon Learning
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Uses Pycharm, which is a popular IDE, to help learners write and manage their Python programs, making it easier to organize projects
Covers variables, data types, operators, and functions, which are fundamental concepts for building a strong foundation in Python programming
Includes programming challenges such as 'Grocery Store Purchase' and 'Asterisk Triangle' to provide hands-on practice and reinforce learning
Explores flow control concepts like 'if', 'else', and 'elif' statements, which are essential for creating programs that make decisions
Introduces loops ('while' and 'for') and the 'range()' function, which are crucial for automating repetitive tasks and iterating over data
Teaches string methods and list manipulation, which are valuable skills for working with text and collections of data in Python
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