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Python is used in thousands of applications around the world, by some of the most recognizable companies. Python is used for various types of applications, including;

  • Web Development

  • Scientific Computing

  • Education

  • Desktop GUIs

  • Software Development

  • Business Applications

Needless to say, Python is one of most sought after programming skills on the market.

WHAT YOU' Some of the topics include;

Python Programming Fundamentals

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Python is used in thousands of applications around the world, by some of the most recognizable companies. Python is used for various types of applications, including;

  • Web Development

  • Scientific Computing

  • Education

  • Desktop GUIs

  • Software Development

  • Business Applications

Needless to say, Python is one of most sought after programming skills on the market.

WHAT YOU' Some of the topics include;

Python Programming Fundamentals

  • Python Syntax (How to write Python Code)

  • Use the Command Prompt to Write Python

  • Understanding Whitespace in Python Code

  • Python Variables

  • Python Data Types

  • Python Operators

  • Execute Python Code in the Python Shell and Write Re-Useable Code in the Python IDLE

  • Python Logical Statements (If...Else)

  • Python Loops (While, For Loops)

Python Intermediate/Advanced Topics

  • Python Lists, Dictionaries, Tuples and Sets (Collection Objects)

  • Gather Input from Users

  • Python Functions

  • Python Modules

  • Python Classes (Object Oriented Programming)

  • Create Custom Python Classes

  • Handling Files with Python

  • Error Handling

Throughout the course you will find quizzes to gauge your understanding of the material and build your confidence. The video lectures will walk you step by step through mastering key Python concepts, while each section will build upon the knowledge you gain from the previous section. Additional resources, including PDFs, completed Python files and web resources will provide you will additional information. All course material, including the video lectures are available for download so you can learn offline.

After you've mastered key Python programming concepts, you'll find projects to challenge your understanding. Each project will give you an opportunity to put what you've learned to practice by creating games and interacting with business data using Python.

  • Create a Magic 8 Ball Game

  • Read and Write .CSV files

As you go through the course, participate in the QA section to ask questions, share what you've learned and interact with your instructor and other students. With Udemy's 30 Day Money Back Guarantee, you'll find comfort in learning how to program using Python. And, at the end of the course, you'll receive a Certificate of Completion that you can print and proudly share with friends, co-workers and the world.

So, don't lose another moment, Enroll Now and begin learning how to program with Python.

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What's inside

Learning objectives

  • Learn proper python syntax
  • Learn basics of programming with python (variables, operators, logic...)
  • Develop python modules to create re-usable code
  • Work with python loops to repeat blocks of code
  • Learn object oriented python programming concepts

Syllabus

Course Introduction
Welcome
Course Overview
Getting Setup with Python
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Starts with Python syntax and basic programming concepts, which provides a solid foundation for individuals with little to no prior coding experience
Covers intermediate and advanced topics like object-oriented programming, file handling, and error handling, which are essential for building robust applications
Includes a project on reading and writing .CSV files, which is a practical skill for working with data in various domains
Features projects like creating a Magic 8 Ball game, which allows learners to apply their knowledge in a fun and engaging way
Requires learners to download and install Python, which may pose a challenge for some beginners who are not familiar with software installation processes

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Reviews summary

Comprehensive python for beginners to intermediate

According to learners, this course provides a solid foundation in Python programming, making it particularly effective for absolute beginners. Students highlight the clear explanations and easy-to-follow structure that progresses from fundamentals to more intermediate concepts like OOP and file handling. The inclusion of practical projects, such as the Magic 8 Ball game and CSV file manipulation, is frequently mentioned as a valuable way to apply learned concepts. While broadly positive, some reviews suggest the course's pacing and depth are best suited for beginners, and those with some prior experience may find the initial sections too slow or wish for more advanced topic coverage.
Pace is good for beginners, potentially slow for others.
"The pace was just right for me, a complete beginner."
"Anyone with some prior coding knowledge might find the initial modules a bit slow."
"Great pacing if you're new, but could be faster if you have some experience."
"For those completely new, the deliberate pace is helpful."
Comprehensive coverage of fundamental to intermediate topics.
"From variables to OOP and file handling, the course covers all the essential Python concepts."
"I feel like I have a strong understanding of Python's core features after completing this."
"The syllabus covers exactly what I needed as a beginner moving towards intermediate level."
"Excellent coverage of data types, control flow, functions, and classes."
Helpful projects for hands-on application of skills.
"The projects were a great way to practice what I learned and see Python in action."
"I loved the Magic 8 Ball game project; it was fun and reinforced my understanding."
"Working with CSV files in the project was very useful and practical for real-world use."
"The hands-on exercises solidify the theoretical concepts taught."
Lectures are easy to understand and well-structured.
"The instructor explains complex topics in a very clear and digestible manner."
"The step-by-step approach and clear explanations made learning much easier."
"I really appreciate how clearly the concepts are broken down in the video lectures."
"Content is presented logically, making even tricky parts easy to grasp."
Widely praised as ideal for those starting Python.
"This course was perfect for someone like me who had zero programming experience before starting."
"An excellent starting point for absolute beginners to grasp Python fundamentals easily."
"If you are new to Python, this masterclass is designed for you. Very easy to follow along."
"I started with no coding knowledge, and now I feel confident with Python basics and more."
May lack depth on more advanced Python areas.
"While it covers OOP, I felt it could go deeper into advanced concepts."
"The course is strong on fundamentals, but don't expect extensive coverage of advanced topics."
"Wish there was more detailed information on specific modules or complex problem-solving."
"Good introduction to concepts like error handling, but only scratches the surface."

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 Complete Python Programming Masterclass Beginner to Advanced with these activities:
Review Basic Programming Concepts
Reinforce fundamental programming concepts like variables, data types, and operators to prepare for Python-specific syntax and usage.
Browse courses on Programming Concepts
Show steps
  • Review notes or online resources covering basic programming principles.
  • Complete practice exercises on variables, data types, and operators in any language.
Read 'Automate the Boring Stuff with Python'
Gain practical experience with Python by working through real-world automation examples.
Show steps
  • Read the first few chapters covering basic Python syntax and data structures.
  • Try out the code examples provided in the book.
  • Attempt some of the practice projects to solidify your understanding.
Practice Python Syntax on CodingBat
Reinforce Python syntax and basic programming logic through targeted practice exercises.
Browse courses on Python Syntax
Show steps
  • Visit the CodingBat website and select the Python section.
  • Work through the exercises on basic Python syntax, such as strings, loops, and conditionals.
  • Aim to solve at least 5-10 problems per session.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Python Cheat Sheet
Consolidate knowledge by creating a concise reference guide to Python syntax, data structures, and common functions.
Browse courses on Python
Show steps
  • Review the course materials and identify key Python concepts.
  • Organize the information into a cheat sheet format, including syntax examples and brief explanations.
  • Share the cheat sheet with other students for feedback and improvement.
Build a Simple Text-Based Game
Apply learned Python concepts to create a functional game, reinforcing understanding of program flow, user input, and data structures.
Show steps
  • Design a simple game concept, such as a number guessing game or a basic text adventure.
  • Implement the game logic using Python, including user input, conditional statements, and loops.
  • Test and debug the game to ensure it functions correctly.
  • Add features to enhance the game.
Dive into Python 3
Expand your Python knowledge with a deeper dive into advanced concepts and techniques.
View Dive Into Python 3 on Amazon
Show steps
  • Select chapters that cover topics of interest or areas where you want to improve.
  • Work through the code examples and exercises provided in the book.
  • Experiment with the concepts and apply them to your own projects.
Contribute to a Python Open Source Project
Gain real-world experience by contributing to an open-source Python project, improving coding skills and collaboration abilities.
Browse courses on Python
Show steps
  • Find a Python open-source project on GitHub that aligns with your interests and skill level.
  • Review the project's documentation and contribution guidelines.
  • Identify a bug to fix or a feature to implement.
  • Submit a pull request with your changes.

Career center

Learners who complete Complete Python Programming Masterclass Beginner to Advanced will develop knowledge and skills that may be useful to these careers:
Python Developer
A Python developer writes software primarily using the Python programming language, and the 'Complete Python Programming Masterclass' helps prepare you for this role. This role requires in-depth knowledge of Python syntax, data structures, and object oriented programming, all covered in this course. A Python developer may be asked to create re-usable Python modules, work with files, and understand object oriented programming, providing strong reasons to take this course. The course provides practical exercises, including projects using CSV files which can be directly applicable to the work of a Python developer.
Software Engineer
A software engineer utilizes programming languages like Python to create robust and scalable applications, and the 'Complete Python Programming Masterclass' provides comprehensive training. The course introduces concepts such as object oriented programming, data structures, and module creation which are all vital to software engineering. The course projects and exercises equip you with real-world examples and problem solving skills. The course also helps you learn how to create reusable code which is critical for software engineering. This course may be useful for an aspiring software engineer.
Automation Engineer
An automation engineer often uses scripting languages such as Python to automate repetitive tasks, and the 'Complete Python Programming Masterclass' helps with crucial skills. This role requires a firm understanding of programming logic, creating reusable modules, and handling files, all taught in this course. Automation often involves creating scripts to perform file system operations, and the course covers the OS module to perform these tasks. This course may be useful for an aspiring automation engineer.
Game Developer
A game developer uses programming languages such as Python to build video games, and the 'Complete Python Programming Masterclass' helps with foundational skills in the field. The course teaches core programming concepts that are necessary for building games, such as using variables, loops, conditional logic, and modules. The course includes a project where you build a game and this enables the student to utilize their new programming skills. This course may be useful for an aspiring game developer.
Software Developer
A software developer often uses programming languages such as Python to create applications. The 'Complete Python Programming Masterclass' particularly helps build a foundation in core Python concepts. Learning how to write Python syntax, use variables, work with data, and implement logic are all important skills for a software developer. Furthermore, the course teaches students how to create reusable code, which is crucial in software development. Projects in the course, such as creating a game and manipulating CSV files, give aspiring software developers practical experience. The course also covers object oriented programming which is a key paradigm within the field. This course may be useful for an aspiring software developer.
Data Analyst
A data analyst uses tools like Python to interpret complex datasets, and the 'Complete Python Programming Masterclass' helps develop the necessary coding skills. This role requires a strong foundation in programming logic and data manipulation, both covered in the course. A data analyst often works with structured data, which the course prepares you for by teaching CSV file manipulation and data filtering. This course may be useful for an aspiring data analyst.
Backend Engineer
A backend engineer uses server side languages such as Python to build the logic behind web and mobile applications, and the 'Complete Python Programming Masterclass' helps to develop critical skills. The course covers fundamental Python skills required for backend development, such as creating functions, handling files, and implementing logic. Backend work often involves working with data in various formats, as well as writing reusable code. This course may be useful for an aspiring backend engineer.
Scientific Programmer
A scientific programmer uses tools like Python to conduct analysis and perform simulations, and the 'Complete Python Programming Masterclass' helps with the necessary programming skills. This course provides a practical introduction to Python, which is often used in scientific computing. The course helps build confidence in using variables, conditional logic, and the creation of reusable functions, which are important skills for a scientific programmer. This course may be useful for an aspiring scientific programmer.
Web Developer
Web development often uses Python in backend development, and the 'Complete Python Programming Masterclass' helps build essential skills. A web developer might use Python to build server-side applications and databases, and this course helps you to understand core programming concepts. Understanding Python syntax, working with loops, handling files and creating functions are all important to the daily work of a web developer. The course introduces object oriented programming which is relevant for certain advanced web development tasks. This course may be useful for an aspiring web developer.
Data Scientist
Data scientists use Python for statistical analysis, machine learning, and data visualization, and the 'Complete Python Programming Masterclass' helps build a foundation in core programming. This role requires an ability to manipulate data, implement complex algorithms, and create reusable functions, all taught in the course. The course covers fundamental programming concepts, such as working with loops, functions, and object oriented programming. This course may be useful for an aspiring Data Scientist, though the field typically requires an advanced degree.
Quantitative Analyst
A quantitative analyst, such as in the financial sector, uses programming languages such as Python for data analysis, and the 'Complete Python Programming Masterclass' may help develop the necessary coding skills. This course may aid in the understanding of important programming concepts such as data structures, loops, conditional logic, and writing functions. A quant may need to work with large amounts of data and the course's handling of CSV files might be applicable. This course may be useful for an aspiring quantitative analyst, though the field typically requires an advanced degree.
Machine Learning Engineer
A machine learning engineer uses programming languages such as Python to develop and implement machine learning models, and the 'Complete Python Programming Masterclass' may help build a foundation in programming. This role requires a strong grasp of programming logic, data manipulation, and the creation of reusable modules, and this course will help students in those areas. The course covers many fundamental programming topics such as data structures, using loops, writing functions, and object oriented programming. This course may be useful for an aspiring machine learning engineer, though the field typically requires an advanced degree.
Research Scientist
A research scientist may use programming languages like Python to analyze data or to conduct experiments, and the 'Complete Python Programming Masterclass' helps to develop core coding skills. Many research fields use Python and this course provides an introduction to fundamental programming concepts, such as defining variables, using conditional logic, or creating functions. A research scientist often needs to write their own scripts, and this course provides an opportunity to gain confidence in that skill. This course may be useful for an aspiring research scientist, though the field typically requires an advanced degree.
Database Administrator
A database administrator may need to use scripting languages such as Python to automate tasks or to interact with databases directly, and the 'Complete Python Programming Masterclass' helps build necessary coding skills. The course provides an overview of many core programming concepts such as defining variables, working with data, writing functions, and working with loops. A database administrator may need to write programs to manipulate files and the course's handling of CSV files is useful here. This course may be helpful for an aspiring database administrator.
Technical Writer
A technical writer might document software that is built with Python, and the 'Complete Python Programming Masterclass' can provide insight into the technology itself. This course helps build an understanding of how Python programs are structured and built. Understanding the syntax and logic of Python can help one to communicate technical concepts in an accurate and digestible fashion. This course may be helpful for an aspiring technical writer.

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 Complete Python Programming Masterclass Beginner to Advanced.
Practical guide to using Python for automating everyday tasks. It provides hands-on examples and projects that complement the course material. It's particularly useful for beginners and those looking to apply Python to real-world problems. This book is commonly used as a reference for automating tasks.
Provides a detailed and comprehensive guide to Python 3. It covers advanced topics and is suitable for those who want to deepen their understanding of the language. It's a valuable resource for experienced programmers and those looking to explore Python's more advanced features. This book is more valuable as additional reading than it is as a current reference.

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