We may earn an affiliate commission when you visit our partners.
Prashant Munshi

Python For Those Absolute Beginners Who Never Programmed - course has been aptly named for what it means to deliver.

Read more

Python For Those Absolute Beginners Who Never Programmed - course has been aptly named for what it means to deliver.

You may not have any programming background or might be not enough confident to believe that you also can be the best programmer. You never have had exposure to any programming language or even do not know what is programming. But this course will teach you all from scratch. Installation, basic concept of programming, syntax, conditional branching, loop, data types, handling the data, and everything you need to project yourself a confident not just a Python programmer, but even beyond that. This  course will keep evolving with time to include everything that everybody else as Python expert claims to know.

Python as best career option - Python is the language which has presence everywhere from application development to web development, machine learning to artificial intelligence, database query to data analysis, statistical analysis to deep learning, you name the field and you will find the Python being preferably used in there.

Why study Python? For beginners there is no other computer language as much easy to learn as Python. It has a very sleek English like syntax. You need to write very small amount of code even for very complex problem. The Python has shown tremendous growth and it is much easy to get launched as python programmer with handsome salary. Python is the most sought after skill in these days. So one must learn Python as cross platform skill to stay in the groove even if already working.

Enroll now

What's inside

Learning objective

Python programming with absolutely no programming background

Syllabus

Introduction

Introduction to Python - Why you should learn python - Python scope and projection - Instructor profile

How to install python on windows platform - Introduction to IDLE IDE - How to test installation

Read more

Using the IDLE IDE - How to create new program file - One line comment in code - Ask for input from the user - How to  call the program file at IDLE prompt - Handle simple exception

Operators & operands - Solving arithmetic expressions - Various arithmetic operators add subtract multiply divide modulo floor division - Conversion from int to float and vice versa - Various forms of assignment operators increment decrement - Initializing multiple variables at ones

What are relational operators or comparison operators - Use of relational operators - Combining conditions with logical operators - AND OR NOT - Application of operators

What are strings - Appropriate use of single or double enclosing quotes - Use of escape characters - Concatenation of strings - Repetitive printing of string - Substitution of string values at runtime - f operator in print function - r operator to handle raw string form - Skipping escape sequences

Understanding string -Sequence of characters - str object - Slicing string - Referencing characters in string with index - Use the output of previous command /operation

Data as object - Variable as reference to objects - Address of storage of data in memory - id() function - Constants in python

Data as object type - Text Type str - Numeric Types int, float, complex- Sequence Types list, tuple, range, set - Mapping Type dict - Boolean Type bool - Handling different data types

What is conditional branching - Why need conditional branching - How conditions are created - Simple IF - Simple IF-ELSE - Using multiple IFs - Simplifying multiple condition handling with IF ELIF ELSE - Project

Simple IF with Minimal Code Example - Resolving multiple related conditions with Nested IF - IF ELIF ELSE within IF- Mini Project

Understanding looping structure - Why need looping control - Conditional looping - While loop example - Small game development as project

Loop for processing sequence type data - For loop syntax - Example program - Mini project find the palindrome

Exiting the loop prematurely - Break statement - Why need a break statement - Example code

Skip certain lines of code - Jump to next cycle in iteration by skipping some code - Continue statement example - Exercise

Specifying no action under some condition - Python Pass Statement - Example code

Types of Errors - Characteristics of Syntax Errors - Characteristics of Exceptions - Code example to explain Syntax Errors and Exceptions - Difference between the two

Python Function Arguments - Required or Positional Arguments - Default Arguments - Keyword Arguments - Variable Length Arguments - Explanation & Examples

Definition of  Lambda function - Creation of Lambda function - IIFL Immediate Invoked Function Execution call of Lambda function - Example and demonstration

What is recursion - concept of recursion - Why need recursive function - Advantages of recursive function - Disadvantage of recursive function - Maximum recursion depth - RecursionError exception - Example

Python Scope of Variables Explained with Examples - Global & Local variables - Keyword Global to explicitly refer to global variable - Use of Globals functions to identify the global variable

What is Python module - File with .py extension - Creating the custom module - Importing module - Invoking a function from the module

Importing module with an alias - Importing multiple modules - Importing specific components with or without alias - from <module> import <function> syntax - Using alias for the component being imported - Direct call to the function

What are nested functions - How the nested functions work - Reference to nonlocal variables - Modifying nonlocal variables

What are Python Closures? - How to create Python Closures - Properties of Python Closure - Use of Python Closure with example

In this lesson you learn what is python decorator function. This is extension to the lesson of python nested functions and python closure. You learn how to pass a python function as argument to another function and modify the behavior of existing function without altering its code or rewriting it.

An exercise to be solved on Python Decorators.

Explanation and use of implicit variable __name__ in module. Study of the behavior of the variable. Importance of __main__ explained with example.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches Python from scratch, covering installation, basic concepts, syntax, and data handling, which provides a strong foundation for absolute beginners with no prior programming experience
Explores conditional branching and looping structures, which are fundamental concepts in programming and essential for building more complex applications
Covers error and exception handling, which are crucial for writing robust and reliable code that can gracefully handle unexpected situations
Introduces functions, modules, and decorators, which are essential for writing modular, reusable, and maintainable code as projects grow in complexity
Uses IDLE IDE, which may not be the preferred environment for experienced developers, but is beginner-friendly and suitable for learning basic programming concepts
Includes mini-projects and exercises, which provide opportunities for hands-on practice and reinforce learning through practical application of concepts

Save this course

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

Reviews summary

Solid foundation for python beginners

According to learners, this course provides a solid foundation for those starting their journey with Python programming. Many praise the instructor's clear explanations and the way complex concepts are broken down into simple terms, making it genuinely accessible for absolute beginners with no prior coding experience. The inclusion of hands-on exercises and mini-projects is frequently mentioned as a positive aspect, helping students practice and solidify their understanding. While reviews are largely positive, some learners note that the course covers basic concepts only and doesn't delve into more advanced or specific topics, suggesting it's a starting point rather than a comprehensive deep dive. A few reviews also mention that some content might be slightly outdated, but overall, it's considered an excellent introductory course.
Focuses strictly on fundamental Python concepts.
"This course is a great introduction, but be aware it only covers the fundamentals. You'll need other resources to go deeper."
"It doesn't cover advanced Python topics or specific libraries, but for a beginner course, that's understandable."
"Good for getting your feet wet, but don't expect to become a Python expert just from this course."
Exercises and projects help reinforce learning.
"The mini-projects scattered throughout were fantastic. Actually coding helped me understand the concepts better than just watching."
"I appreciated the hands-on coding sections and exercises. They were relevant and useful."
"The projects included give you a chance to apply what you learned immediately."
Instructor explains concepts clearly and simply.
"The instructor explains everything really well, making it easy to grasp even for someone like me with no background."
"I found the explanations clear and concise. The examples were also very helpful."
"He breaks down potentially complex ideas into understandable steps. Great teaching style."
Ideal for absolute beginners with no experience.
"Perfect course if you are an absolute beginner. It starts from scratch and builds up logically."
"I had zero programming knowledge before this, and now I feel confident in the basics of Python."
"This course is exactly what it says - for beginners. Doesn't assume any prior coding understanding."
Some aspects could benefit from being updated.
"A few parts of the code demonstrated seemed slightly outdated based on current Python versions, though still functional."
"The installation instructions might need a quick check against the latest versions, but it was easy to figure out."
"Overall solid, but some technical details felt a little behind the curve compared to newer methods."

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 Beginners - Python Bootcamp - Python Programming with these activities:
Review Basic Programming Concepts
Reinforce fundamental programming concepts like variables, data types, and operators to prepare for Python-specific syntax and logic.
Browse courses on Programming Concepts
Show steps
  • Read introductory materials on programming fundamentals.
  • Complete practice exercises on variables and data types.
  • Review the order of operations for arithmetic and logical operators.
Read 'Python Crash Course'
Gain a solid foundation in Python programming through hands-on projects and clear explanations.
Show steps
  • Read the first few chapters covering basic Python syntax and data structures.
  • Work through the example projects to apply what you've learned.
  • Experiment with modifying the projects to explore different functionalities.
Practice Python Syntax Exercises
Reinforce your understanding of Python syntax through repetitive exercises, focusing on areas like loops, conditional statements, and function definitions.
Browse courses on Python Syntax
Show steps
  • Find online resources with Python syntax exercises.
  • Complete exercises on loops and conditional statements.
  • Practice defining and calling functions with different arguments.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Simple Python Cheat Sheet
Consolidate your knowledge by creating a cheat sheet summarizing key Python syntax, data structures, and common functions.
Browse courses on Python
Show steps
  • Review the course materials and identify key concepts.
  • Organize the information into a concise and easy-to-read format.
  • Include examples of common syntax and functions.
Build a Simple Calculator Program
Apply your Python skills by building a calculator program that performs basic arithmetic operations, reinforcing your understanding of input, output, and control flow.
Browse courses on Calculator
Show steps
  • Plan the structure of the calculator program.
  • Implement the functions for addition, subtraction, multiplication, and division.
  • Create a user interface to take input and display results.
  • Test the calculator program thoroughly.
Read 'Automate the Boring Stuff with Python'
Learn how to apply Python to automate tasks and solve real-world problems, expanding on the course's foundational knowledge.
Show steps
  • Choose a chapter related to a task you find interesting.
  • Work through the examples and try to adapt them to your own needs.
  • Experiment with different modules and functions to automate more complex tasks.
Help Beginners on Python Forums
Solidify your understanding by helping other beginners on Python forums, reinforcing your knowledge and improving your communication skills.
Browse courses on Python
Show steps
  • Find online Python forums or communities.
  • Browse the forums for questions from beginners.
  • Provide clear and helpful answers to their questions.

Career center

Learners who complete Python For Beginners - Python Bootcamp - Python Programming will develop knowledge and skills that may be useful to these careers:
Software Developer
A Software Developer designs, develops, and tests software applications. This course helps build a foundation in Python programming, a versatile language used extensively in software development. The course covers the essential syntax, data types, and control structures necessary to write functional and reliable code. A learner of this course will be able to perform basic software development tasks, including using conditional branching, looping, and handling data, which are crucial aspects to this role. The course also introduces functions, modules, and error handling, all important for writing larger and more complex programs that are needed in this role. This course gives a beginner a strong foundation in the practice of software development using Python.
Data Analyst
A Data Analyst interprets data and transforms it into actionable insights. Python is a core language for data analysis, and this course provides a solid starting point. This course introduces key concepts in programming with Python that are necessary for manipulating, cleaning, and analyzing data sets. The course also covers fundamental skills like working with different data types, conditional logic, looping, and exception handling. A Data Analyst needs to be able to process data from various sources and automate analyses using code. By learning the basics of the language, a learner of this course will build a solid entry point to a career in data analysis.
Web Developer
Web Developers create and maintain websites and web applications. Python is often used for back end web development. This course helps build a foundation in the Python programming language which is essential for web development tasks. A learner who takes this course will understand fundamental programming concepts, including data types, control structures, and functions. Furthermore, skills in modular programming, and exception handling are very valuable. This course will help a student gain the proficiency they need for back end web development tasks.
Automation Engineer
An Automation Engineer designs, develops, and implements automated processes and systems. Python's versatility makes it popular for automation, and this course provides an excellent introduction for beginners. A learner will understand programming fundamentals such as data types, conditional logic, and looping. This course also covers how to write functions, modules, and handle exceptions. These skills build the foundation to write code to automate tasks. This course provides the knowledge to get started in this career path.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. Python is the most popular language used in machine learning, and this course may be useful. A Machine Learning Engineer needs to have the ability to handle data, construct algorithms, and automate analysis. This course provides an entry point into the world of programming for those who have never coded before. It covers basic syntax, data types, and programming structures like loops, and conditional branching. Though advanced machine learning topics are beyond the scope of this course, it may give a good starting point for learners who wish to pursue machine learning.
Data Scientist
A Data Scientist uses statistical methods and machine learning to extract knowledge from data. Python is an essential tool for this role. This course provides a foundation in Python programming for beginners. Data scientists need a solid foundation in programming which is built by this course through training in basic syntax, data structures, and control flow. A data analyst also needs to know how to write functions, use modules, and handle exceptions. This course may be helpful in building a foundation for this role, but further study in advanced topics is required.
Research Assistant
A Research Assistant assists with research projects, often involving data analysis and programming. Python is commonly used in research for data manipulation and scripting. This course may be useful for learners starting in research by providing grounding in basic Python programming. It covers syntax, basic data handling, loops, and conditional statements. A researcher needs to be able to automate data analysis tasks, and this course provides a foundation. By covering the basics of Python programming this course may be useful for a research assistant.
Quality Assurance Engineer
A Quality Assurance Engineer tests software to ensure it meets quality standards. Python is useful for automating testing scripts, and this course can be a starting point. This course introduces basic programming concepts, which are essential to be able to write scripts for automated testing. This includes data types, control structures, and exception handling with Python. This foundational knowledge, particularly in the area of exception handling, helps one perform automated testing tasks. A Quality Assurance Engineer may find this course useful as it will give them a foundation to build upon.
Database Administrator
A Database Administrator manages database systems and this course may be useful for learning to script database tasks. Python is useful for automating certain database tasks, and this course teaches Python to beginners. It covers basic syntax, data types, and how to program functions. This course may be useful as it teaches the basic programming skills necessary to start learning how to handle database tasks via scripting and automation.
Technical Support Specialist
A Technical Support Specialist provides technical assistance to users. While not directly programming-focused, Python skills may be useful for scripting solutions. This course may be useful for learning how to automate tasks and processes, as it teaches fundamental programming concepts. The course builds a foundation in syntax, data types, and control structures like loops and conditional branching. These are essential skills for writing scripts and problem solving, which may be useful in this role. Though the role does not directly require Python skills, this course may help the learner to build technical capability.
Technical Writer
A Technical Writer creates clear documentation for technical products and processes. This role does not directly involve coding. However, basic programming knowledge may be useful to understand technical concepts, and this course provides that. This course familiarizes a learner with programming logic, basic syntax, and control flow structures. This may help to understand technical specifications, and write better documentation. This course may be useful as it can provide context to the work that a writer is documenting.
Project Manager
A Project Manager oversees projects and teams. This role typically does not involve programming. However, understanding programming logic may help them better understand the technical work of a project. This course may be useful as it provides exposure to the logic and concepts behind programming. The course teaches basic syntax, data types, and control structures. This knowledge may equip a Project Manager with some additional understanding of project specifications, and be able to better understand their team's work. While not directly relevant, it may be useful to the role.
Business Analyst
A Business Analyst identifies and analyzes business needs. This role typically does not involve programming. However, understanding programming logic may give them a tool to understand technical constraints. This course may be useful as it provides a basic understanding of programming logic and some automation. This course may help one to better understand some technical aspects of business problems by learning the foundations of programming.
Market Research Analyst
A Market Research Analyst researches market conditions and consumer behavior. While this role is not programming-focused, basic Python may be useful for automating some data collection or analysis. This course may be useful to learn programming fundamentals. This may help a learner to automate data processing. While not directly relevant, basic python skills may be useful.
Financial Analyst
A Financial Analyst analyzes financial data and provides recommendations. While not typically requiring programming, Python can automate financial modeling and analysis. This course may be useful by providing a foundation in Python programming. A learner will become proficient in data handling, control structures, and exception handling. These skills, while not immediately applicable, may provide an edge to a financial analyst. However, this course may be helpful.

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 Beginners - Python Bootcamp - Python Programming.
Provides a project-based introduction to Python, making it ideal for beginners. It covers fundamental concepts and then applies them in practical projects. It's a great resource for solidifying your understanding of Python syntax and programming principles. This book is commonly used as a textbook at academic institutions.
Focuses on practical applications of Python for automating everyday tasks. It's a great resource for learning how to use Python to solve real-world problems. It expands on the course by providing numerous examples and projects. This book is commonly used as a textbook at academic institutions.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser