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Coding Academy

Are you eager to learn Python programming from scratch? Look no further. Our comprehensive Python programming course is the best way to learn Python online, and it's super easy.

Designed specifically for beginners, this course offers a complete training experience that combines practical, hands-on learning with comprehensive coverage of Python programming concepts. Whether you have prior coding experience or are starting with no programming background at all, this course is your ideal starting point.

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Are you eager to learn Python programming from scratch? Look no further. Our comprehensive Python programming course is the best way to learn Python online, and it's super easy.

Designed specifically for beginners, this course offers a complete training experience that combines practical, hands-on learning with comprehensive coverage of Python programming concepts. Whether you have prior coding experience or are starting with no programming background at all, this course is your ideal starting point.

Throughout this course, you will follow a proven learning path that has helped countless learners master Python. You'll be introduced to Python 3, the latest version of the language, and gain a solid understanding of its syntax, data types, control structures, functions, and more. Each lesson is carefully crafted to ensure a gradual learning curve and reinforce your knowledge through practical exercises.

Our hands-on approach sets us apart. You'll not only learn the theory but also apply it immediately in coding exercises and real-world projects. By working directly with Python code, you'll develop practical skills that can be applied to various programming scenarios. With each task you complete, you'll build confidence and become more proficient in Python programming.

This course offers the flexibility of learning at your own pace, allowing you to fit your studies into your busy schedule. You can access the course materials from anywhere, anytime, making it a convenient way to learn Python online.

Additionally, joining this course grants you access to a supportive community of learners. Engage in discussions, seek guidance from experienced instructors, and exchange ideas with fellow learners to enhance your learning experience.

Whether you aspire to become a professional Python developer, want to explore data analysis, or simply have a curiosity for programming, this course will provide you with a solid foundation. Upon completion, you'll have a comprehensive understanding of Python and the confidence to take on more advanced programming challenges.

Don't miss out on this opportunity to learn Python. , and in a practical and comprehensive manner. Enroll now and embark on your journey to mastering Python.

What you'll learn:

  • Have a fundamental understanding of the Python programming language.

  • Have the skills and understanding of Python.

  • Acquire the pre-requisite Python skills to move into specific branches - Web Development, Machine Learning, Data Science, etc.

  • Add the Python Object-Oriented Programming (OOP) skills to your résumé.

  • Understand how to create your own Python programs.

  • Learn Python from experienced professional Python developer (Me).

  • Learn to develop powerful Python applications using one of the most powerful Integrated Development Environments on the market, IntelliJ IDEA. - Meaning you can code functional programs easier. IntelliJ has both a FREE and PAID version, and you can use either in this course. PyCharm will also work just fine.

  • All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating8. You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more.

Requirements

A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included for Windows.Your enthusiasm to learn this go-to programming language. It’s a valuable lifetime skill which you can’t un-learn. Everything else needed to start programming in Python is already included in the course.Python topics covered in this course are:

Will I be able to learn Python from this course?

Yes you can. There are a range of exciting opportunities for Python developers all across the globe which requires a solid understanding of Python, and that’s what you will learn in this course.

Why should you take this course?

The very first reason why you should consider enrolling in this course is because of its simplicity and ease of learning as my primary goal is to make computer programming as easy as possible so that everyone can understand, thus learn it to enrich themselves and enhance their career.

Will I update this course?

Yes I will update this course and continue on adding new lectures on a regular basis. Technology is evolving and advancing at a rapid pace. New, more powerful hardware and software are being released every day, meaning it’s crucial to stay on top with the latest knowledge. A lot of other courses on Udemy get released once, and never get updated. Learning from an outdated course and/or an outdated version of Python can be counter productive and even worse it could teach you the wrong way to do things.

What if you have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you might have around the clock which means 7 days a week (whereas many instructors answer just once per week, or not at all). This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

Why should you learn Python?

Python has emerged as one of the most popular programming languages in the world, known for its simplicity, versatility, and extensive community support. Whether you're a beginner looking to start your coding journey or an experienced developer aiming to enhance your skills, Python has something to offer for everyone. In this article, we will explore various aspects of Python, including online resources, downloading options, programming basics, tutorials, and essential operators.

One of the major advantages of Python is its thriving online community. Countless resources are available that provide assistance, code examples, and tutorials. Python's official website, python .org, is an excellent starting point, offering comprehensive documentation, downloads, and a vast library of modules and packages. Additionally, there are various online platforms like GitHub, Stack Overflow, and Reddit where Python enthusiasts actively share their knowledge and expertise.

To get started with Python programming, you need to download and install the Python interpreter on your computer. The official Python website provides installation packages for Windows, macOS, and Linux. The process is straightforward, and detailed instructions are available on the website. Choose the latest stable version of Python to ensure compatibility with the most up-to-date features and libraries.

Python is renowned for its readability and simplicity, making it an ideal language for beginners. The syntax is clean and easy to understand, emphasizing code readability and reducing the learning curve. The language supports both procedural and object-oriented programming paradigms, allowing developers to choose the approach that best suits their needs.

Python's simplicity and readability make it an excellent choice for beginners. Its extensive standard library and third-party packages cater to various domains, including web development, data analysis, machine learning, and more. Python's "hello world" program serves as an entry point for beginners, introducing them to the basic syntax and structure. From there, learners can progress to more complex projects, such as building simple games or web applications.

Operators play a crucial role in any programming language, and Python provides a rich set of operators for different operations. These include arithmetic operators (+, -, *, /), comparison operators (>, <, , . =), logical operators (and, or, not), and assignment operators (=, +=, -=). Understanding how to use these operators effectively is essential for writing efficient and concise Python code.

Python's popularity continues to grow due to its simplicity, versatility, and extensive community support. Whether you're a beginner or an experienced programmer, Python offers a range of online resources, tutorials, and platforms to help you learn and excel in this language. By downloading Python and exploring its programming basics, you can unlock the door to a world of endless possibilities. So, embrace Python, dive into its rich ecosystem, and embark on a coding journey that will empower you to bring your ideas to life.

Are you ready?

Enroll now and start your journey to become a Python Expert. If you wonder about the quality of this course then I invite you to have a look at my free preview feature, so you know you’re 100% certain this course is for you.

Enroll now

What's inside

Syllabus

In this section we will install Python and various code editor and an Integrated Development Environment
Installing Python
Installing Pycharm
Installing Additional Plugins for Pycharm
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Installing VSCODE
Installing ATOM
In this section we will dive deep into the world of Python and we will master it
Introduction to Python
Our First Python "Hello World" Script
Variables in Python
How to add Comments in Python
Data Types in Python
Python STRING Data and Methods
Python String type Data
Sting Capitalize Method
String Casefold Method
String Center Method
String Count Method
String Endswith Method
String FInd Method
String Isalnum Method
String isalpha Method
String Isdigit Method
String Islower Method
String Isprintable Method
String Isspace Method
String Istitle Method
String Isupper Method
String Lower Method
String lstrip Method
String Replace Method
String Rpartition Method
String Rsplit Method
String Splitlines Method
String Startswith Method
String Swapcase Method
String Title Method
Numbers in Python
Python Decimal to Binary Conversion
In this section we will learn about every Operators that are available in Python
Python Arithmetic Operator
Python Assignment Operator
Python Logical Operator
Python Comparison Operator
Python Identity Operator
Python Membership Operator
Python Left Shift Operator
Python Right Shift Operator
Python AND Operator
Python OR Operator
Python NOT Operator
Python XOR Operator
Python LIST Data and Methods
Python LIST Datatype
Python LIST Append Method
Python LIST Insert Method
Python LIST Copy Method
Python LIST Count Method
Python LIST Extend Method
Python LIST Index Method
Python LIST POP Method
Python LIST Remove Method
Python LIST Reverse Method
Python LIST SORT Method
Python TUPLE Data and Methods
Python TUPLE Data
TUPLE Count Method
TUPLE Index Method
Python SET Data and Methods
Python SET Data Type
Python SET Add Method
Python SET Clear Method
Python SET Copy Method
Python SET Difference Method
Python SET Difference Update Method
Python SET Discard Method
Python SET Intersection Method
Python SET Intersection Update Method
Python SET Isdisjoint Method
Python SET Issubset Method
Python SET Issuperset Method
Python SET POP Method
Python SET Remove Method
Python SET Symmetric Difference Update Method
Python SET Union Method
Python SET Update Method
Python Dictionary Data and Methods
Python Dictionary Data Part 1
Python Dictionary Data Part 2
Python Dictionary Clear Method
Python Dictionary Copy Method
Python Dictionary get Method
Python Dictionary Items Method
Python Dictionary Keys Method
Python Dictionary POP Method
Python Dictionary popitem Method
Python Dictionary setdefault Method
Python Dictionary Update Method

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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 Learning Python From Beginner to Advanced Complete Course with these activities:
Review Basic Programming Concepts
Reinforce fundamental programming concepts like variables, data types, and control flow to prepare for Python-specific implementations.
Browse courses on Programming Fundamentals
Show steps
  • Review notes from previous programming courses or tutorials.
  • Complete online quizzes on basic programming concepts.
  • Write pseudocode for simple programming problems.
Review "Python Crash Course"
Gain a solid foundation in Python syntax and best practices by working through the examples and exercises in this highly-rated introductory book.
Show steps
  • Read the first few chapters covering basic Python syntax and data structures.
  • Complete the exercises at the end of each chapter.
  • Try to apply the concepts learned to solve small programming challenges.
Create a Python Cheat Sheet
Compile a concise reference guide of Python syntax, data structures, and common functions for quick recall.
Show steps
  • Review course materials and identify key concepts.
  • Organize the information into a logical structure.
  • Write clear and concise explanations with examples.
  • Share the cheat sheet with other learners for feedback.
Four other activities
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Show all seven activities
Practice Python Data Structure Exercises
Solidify your understanding of Python lists, tuples, sets, and dictionaries through targeted practice exercises.
Show steps
  • Find online coding platforms with Python data structure exercises.
  • Solve at least 5-10 problems for each data structure type.
  • Review solutions and understand different approaches.
Build a Simple Text-Based Game
Apply your Python knowledge to create a small project that reinforces concepts like control flow, functions, and user input.
Show steps
  • Design the game's rules and features.
  • Break down the project into smaller, manageable tasks.
  • Write the code, testing each component as you go.
  • Refactor and improve the code for readability and efficiency.
Dive into Python 3
Explore more advanced Python concepts and techniques to deepen your understanding and expand your skillset.
View Dive Into Python 3 on Amazon
Show steps
  • Read chapters on topics like iterators, generators, and decorators.
  • Experiment with the code examples provided in the book.
  • Try to apply these advanced concepts to your own projects.
Help Beginners in Online Forums
Reinforce your understanding by explaining Python concepts to others and answering their questions in online forums.
Show steps
  • Find online Python forums or communities.
  • Browse the forums for questions from beginners.
  • Provide clear and helpful explanations, code examples, and guidance.

Career center

Learners who complete Learning Python From Beginner to Advanced Complete Course will develop knowledge and skills that may be useful to these careers:
Python Developer
A Python developer specializes in building applications and software using the Python programming language. This course is specifically designed to take learners from beginner to advanced in Python, making it an ideal starting point for a Python developer. The comprehensive training, combining hands-on learning with thorough coverage of Python concepts, helps build a strong foundation in the language. By mastering Python's syntax, data types, and control structures through practical exercises, learners gain the skills necessary to develop robust and efficient applications. Moreover, understanding how to use Python in conjunction with Integrated Development Environments, covered in this course, enhances coding efficiency and productivity. Aspiring Python developers should consider taking this course.
Software Developer
A software developer designs, develops, and tests software applications. This course, focused on learning Python from beginner to advanced levels, helps build a foundation in a versatile and widely-used programming language. Mastering Python's syntax, data types, control structures, and functions, as this course makes possible, is essential for writing efficient and maintainable code. With its practical exercises and real-world projects, this course provides aspiring software developers with the hands-on experience necessary to excel in their roles. Furthermore, the course covers the use of IntelliJ IDEA, a powerful Integrated Development Environment, which enables the creation of functional programs more easily. A prospective software developer should consider taking this course.
Machine Learning Engineer
A machine learning engineer develops and deploys machine learning models and algorithms. The skills gained from this course help build a strong foundation for becoming a machine learning engineer, as Python is the primary language used in the field. This course introduces the core Python skills needed for machine learning, including data manipulation, algorithm implementation, and model evaluation. Furthermore, mastering Python's syntax, data types, and control structures, as this course facilitates, is crucial for effectively using machine learning libraries and frameworks. This course helps those who wish to become machine learning engineers.
Data Scientist
A data scientist analyzes large datasets to extract meaningful insights and develop data-driven solutions. This course, which covers Python programming from scratch, provides a solid foundation for aspiring data scientists since Python is a primary tool in data science. The course's comprehensive coverage of Python concepts, combined with practical exercises, helps develop the skills needed to perform data manipulation, analysis, and visualization. This course may be useful, since it introduces the core Python skills that a data scientist requires. Furthermore, gaining familiarity with Python's syntax, data types, and control structures, as this course facilitates, is crucial for effectively working with data science libraries and frameworks. Python's simplicity and versatility makes it an excellent choice for data analysis.
Software Engineer
A software engineer applies engineering principles to design, develop, and maintain software systems. This course provides a comprehensive introduction to Python programming, which may be useful for software engineers working on Python-based projects or integrating Python into existing systems. The course's focus on hands-on learning and real-world projects helps develop practical coding skills relevant to software engineering. Specifically, learning to use Python with IntelliJ IDEA, as this course teaches, is valuable for professional software development. Furthermore, the course's coverage of Python's syntax, data types, and control structures is essential for writing robust and scalable software. This course may be helpful to software engineers looking to use Python.
Automation Engineer
An automation engineer designs and implements automated systems and processes, often using scripting languages like Python. This course may be useful, providing a strong foundation in Python programming. With its coverage of Python syntax, data types, and control structures, this course equips automation engineers with the skills needed to write effective automation scripts. Hands-on exercises and real-world projects, included in this course, help develop practical coding skills. Furthermore, the course covers the use of Integrated Development Environments, which can streamline the development and debugging of automation scripts. Potential automation engineers can use this course to become proficient in Python.
Quality Assurance Engineer
A quality assurance engineer tests software to ensure it meets quality standards and functions correctly. This course may be useful, as Python is often used for writing test scripts and automating testing processes. Though this course does not focus specifically on testing frameworks, the course may help build a foundation in Python programming, which is useful for creating test automation scripts. Learning Python syntax, data types, and control structures, as covered in the course, is essential for writing effective test cases and automating repetitive tasks. Quality assurance engineers seeking to learn Python may find this course valuable.
Backend Developer
A backend developer focuses on the server-side logic and databases that power web applications. This course, which may be useful, introduces the fundamentals of Python programming, a language widely used in backend development. This course may be helpful, as it teaches Python's syntax, data types, and control structures, alongside practical exercises. While this course does not cover specific backend frameworks like Django or Flask, it could help those who need to learn the underlying Python skills necessary to use them effectively. Backend developers who want to incorporate Python into their projects may find this course beneficial.
Full-Stack Developer
A full stack developer works on both the front-end and back-end aspects of web applications. This course may be useful, as it provides a solid foundation in Python programming, which is often used for back-end development. This course may be helpful, as it includes instruction in Python syntax, data types, and control structures. While this course does not specifically cover front-end technologies, it can equip full stack developers with the Python skills needed to handle server-side logic, databases, and APIs. Full stack developers seeking to expand their Python knowledge may find this course valuable.
DevOps Engineer
A DevOps engineer works to streamline the software development lifecycle through automation and collaboration. Skills from this course may enhance the capabilities of a DevOps engineer, as Python is frequently used for scripting and automation tasks in DevOps environments. This course may be useful, as it introduces the fundamental concepts of Python programming, including syntax, data types, and control structures. While this course does not focus specifically on DevOps tools or practices, it could help build a foundation for using Python in DevOps workflows. DevOps engineers who are new to Python may value this course.
Research Scientist
A research scientist conducts research and experiments in a variety of scientific fields, often requiring advanced degrees. This course may be useful, as Python is used for data analysis, modeling, and simulation in many research disciplines. This course may be helpful, as it covers the fundamentals of Python programming, a skill often required of research scientists. While this course does not focus specifically on research methodologies or statistical analysis, it helps build a foundation for using Python in scientific research. Research scientists looking to enhance their programming skills may value this course.
Data Analyst
A data analyst collects, cleans, and analyzes data to identify trends and insights. This course may be useful, as it provides a practical introduction to Python programming, which is a valuable tool for data analysis. This course may be helpful, as it presents Python syntax, data types, and control structures, alongside practical exercises. Data analysts are often required to work with programming languages. Gaining familiarity with Python through this course may simplify their processes. The course's coverage of built-in functions and data structures is particularly relevant to data analysis tasks. Data analysts who wish to learn Python may consider this course.
Embedded Systems Engineer
An embedded systems engineer develops software for embedded systems, such as those found in appliances and automotive systems. This course may be useful, as Python can be used for scripting and testing in embedded systems development. This course may be helpful, as it teaches Python syntax, data types, and other computer programming fundamentals. While this course does not focus specifically on low-level programming or hardware interaction, it could build a foundation for using Python in embedded systems projects. Embedded systems engineers who wish to incorporate Python into their workflow may appreciate this course.
Web Developer
A web developer is involved in creating and maintaining websites and web applications. The skills acquired in this course may enhance a web developer's capabilities, as Python can be used for backend web development, scripting, and automation. While this course does not focus specifically on web development frameworks, such as Django or Flask, it introduces the fundamental Python skills necessary to use these tools effectively. Mastering Python's syntax, data structures, and control flow, as covered in the course, helps in building dynamic and interactive web applications. Web developers who want to expand their skill set to include Python would benefit from this course.
Game Developer
A game developer designs and creates video games for various platforms. This course may be useful, as Python is used for scripting, prototyping, and tool development in the gaming industry. This course may be helpful, as it includes instruction in Python syntax, data types, and control structures. While this course does not specifically cover game development frameworks like Pygame or Unity, those interested in game development may find this course to be relevant.

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 Learning Python From Beginner to Advanced Complete Course.
Provides a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. This book is commonly used as a textbook at academic institutions.
Dive into Python 3 guide for experienced programmers who want to switch to Python 3. It covers many of the same topics as introductory Python books, but it assumes that you already know how to program in another language. is more valuable as additional reading than it is as a current reference. It provides more depth to the existing course.

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