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Learn Complete Python In Simple Way

4.7 Filled star Filled star Filled star Filled star Half star
Based on 6,578 ratings
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DURGASOFT DURGA

As the part of this course the following topics covered in detail.

1. Language Fundamentals

2. Operators

3. Input and Output Statements

4. Flow Control

5. Pattern Applications

6. Strings

7. 20+ Applications on String Concept

8. List Data Structure

9. Tuple Data Structure

10. Set Data Structure

11. Dictionary Data Structure

12. Functions

13. Modules

14. Packages

15. Object Oriented Programming (OOPs)

16. Exception Handling

17. Logging Module

18. Assertions

19. File Handling

Read more

As the part of this course the following topics covered in detail.

1. Language Fundamentals

2. Operators

3. Input and Output Statements

4. Flow Control

5. Pattern Applications

6. Strings

7. 20+ Applications on String Concept

8. List Data Structure

9. Tuple Data Structure

10. Set Data Structure

11. Dictionary Data Structure

12. Functions

13. Modules

14. Packages

15. Object Oriented Programming (OOPs)

16. Exception Handling

17. Logging Module

18. Assertions

19. File Handling

20. Object Serialization By using Decorators

22. Generators

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What's inside

Learning objective

Student can get much perfection on complete python concepts and in a position to develop applications

Syllabus

Introduction To Python
What is Python and Father of Python
Easiness of Python when compared with Other Languages
Why the name 'Python'
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers fundamental data types like integers, floats, booleans, strings, lists, tuples, sets, and dictionaries, which are essential for building a strong foundation in Python
Explores object-oriented programming (OOP) concepts, exception handling, and file handling, which are crucial for developing robust and maintainable Python applications
Introduces modules and packages, which are essential for organizing and reusing code in larger Python projects, promoting modularity and code maintainability
Includes a section on pattern applications, which can help learners develop problem-solving skills and apply their knowledge of loops and conditional statements in a practical way
Focuses on Python 2.x input functions like raw_input(), which are deprecated in Python 3.x, so learners should be aware of the differences when working with newer versions

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Reviews summary

Comprehensive python fundamentals for beginners

According to learners, this course provides a solid foundation and covers a wide range of Python topics in a simple way. Students particularly praise the instructor's clear explanations and ability to break down complex concepts. While the pace is considered beginner-friendly, some more experienced learners might find it slow at times. The course seems well-suited for those starting their Python journey, covering everything from basic syntax and data types to OOP and file handling. Although comprehensive in scope, some reviewers desired more in-depth practical examples or advanced projects. Overall, it's seen as a highly positive starting point for learning Python.
Pace is suitable for absolute beginners.
"The pace is perfect for someone who has never coded before."
"It moves step-by-step, ensuring you don't get lost."
"Found the speed comfortable and easy to follow along."
"Ideal for an absolute beginner like myself."
Covers a broad spectrum of Python essentials.
"This course covers almost all the fundamental topics needed to get started with Python."
"I was impressed by how many different concepts were included, from basics to OOP and files."
"It provides a good overview of the language, giving me a solid base."
"Good breadth of topics covered, giving a complete picture."
Instructor excels at explaining concepts simply.
"The instructor explains the concepts in a very simple and understandable way. Great for beginners!"
"I found the explanations really clear, even for topics I struggled with before."
"He breaks down complex topics into easily digestible pieces."
"The simple explanation method made learning Python less intimidating."
More complex examples or projects desired.
"While theory is well covered, I wish there were more challenging exercises or projects."
"Could benefit from more hands-on coding beyond the basic examples."
"Needs more complex application examples to solidify understanding."
"The course would be even better with more practical, real-world projects."

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 Learn Complete Python In Simple Way with these activities:
Review Basic Programming Concepts
Reinforce fundamental programming concepts like variables, data types, and control flow to build a solid foundation for learning Python.
Browse courses on Programming Fundamentals
Show steps
  • Review notes from previous programming courses.
  • Complete online quizzes on basic programming concepts.
  • Write simple programs using basic programming constructs.
Read 'Python Crash Course'
Supplement the course material with a comprehensive guide to Python programming, including practical exercises and projects.
View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon
Show steps
  • Read the first few chapters covering basic syntax and data structures.
  • Work through the example code and exercises in the book.
  • Compare the book's explanations with the course's explanations.
Solve Python Coding Challenges
Enhance problem-solving skills and reinforce Python syntax by completing coding challenges on platforms like HackerRank or LeetCode.
Show steps
  • Choose a coding challenge platform.
  • Select problems related to the topics covered in the course.
  • Write and test Python code to solve the challenges.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Python Cheat Sheet
Consolidate learning by creating a cheat sheet summarizing key Python syntax, data structures, and functions covered in the course.
Show steps
  • Review course materials and identify key concepts.
  • Organize the information into a concise and easy-to-read format.
  • Include examples and explanations for each concept.
Build a Simple Text-Based Game
Apply Python skills to develop a small project, such as a text-based adventure game, to reinforce understanding of control flow, data structures, and functions.
Show steps
  • Design the game's storyline and rules.
  • Implement the game logic using Python code.
  • Test and debug the game to ensure it functions correctly.
Explore 'Automate the Boring Stuff with Python'
Expand your knowledge of Python by exploring practical applications and automation techniques.
View Automate the Boring Stuff with Python, 2nd... on Amazon
Show steps
  • Read chapters related to file handling and string manipulation.
  • Try implementing some of the automation scripts described in the book.
  • Adapt the scripts to solve your own real-world problems.
Help Others in Online Forums
Solidify your understanding by helping other students with their Python questions in online forums or study groups.
Show steps
  • Find online forums or communities related to Python programming.
  • Browse the forums and identify questions you can answer.
  • Provide clear and helpful explanations to assist other learners.

Career center

Learners who complete Learn Complete Python In Simple Way will develop knowledge and skills that may be useful to these careers:
Python Programmer
A Python programmer writes and debugs code using the Python programming language. This course helps build a solid foundation in Python, covering core concepts such as language fundamentals, operators, flow control, data structures, and object-oriented programming. The course specifically mentions 'Complete Python concepts,' which is exactly what a Python programmer needs. The detailed treatment of topics like strings, lists, tuples, and dictionaries, as well as file handling, make this course especially useful for someone pursuing this role.
See salaries and explore the career path for Python Programmer
Software Developer
A software developer designs, develops, and maintains software applications. This course's focus on Python fundamentals, including data structures, object-oriented programming, and file handling provides a strong base for building various software applications. The ability to write well-structured code, understand algorithms, and work with different data types, as covered in this course, is fundamental for any software developer. A software developer would benefit from the comprehensive coverage of all these topics.
See salaries and explore the career path for Software Developer
Automation Engineer
An automation engineer designs, develops, and implements automated systems and processes. Python is increasingly used for automation due to its versatility, and this course's coverage of fundamental Python concepts is directly applicable. An automation engineer needs to be able to write scripts, manipulate data, and control program flow, skills which are directly taught in the course. The file handling and modules sections may be particularly helpful for tasks in automation.
See salaries and explore the career path for Automation Engineer
DevOps Engineer
A DevOps engineer automates and streamlines the software development and deployment processes. Python is a popular language for DevOps tasks due to its ease of use and flexibility. This course's focus on fundamental Python concepts, like scripting and file handling, is directly applicable to DevOps. A DevOps engineer would benefit from the course's coverage of modules and object-oriented programming for building infrastructure-as-code tools and automation scripts.
See salaries and explore the career path for DevOps Engineer
Quality Assurance Engineer
A quality assurance engineer tests software to identify bugs and ensure it meets quality standards. Python is often used in test automation. This course helps build Python proficiency which is helpful for this role. Quality assurance engineers require a strong understanding of programming logic, data structures, and functions, all of which are covered in detail in this course. The course's focus on exception handling and assertions will also be especially useful for those in quality assurance.
See salaries and explore the career path for Quality Assurance Engineer
Data Scientist
Data scientists analyze large datasets to extract meaningful insights and develop data-driven solutions. Python is a cornerstone of data science, and this course helps build a foundation in the language. A data scientist uses libraries and frameworks built in Python and this course helps build the core understanding needed to excel in that. Familiarity with data structures, control flow, and functions, all included in the course, is essential for data manipulation and analysis tasks.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
A machine learning engineer develops and deploys machine learning models. Python is the primary language in machine learning, and the material in this course forms a solid basis for building more complex skills. This course covers the essential Python concepts that are prerequisites for a machine learning engineer such as data structures, object-oriented programming, and exception handling. The course gives learners the foundation to use data science and machine learning packages.
See salaries and explore the career path for Machine Learning Engineer
Backend Developer
A backend developer focuses on the server-side logic, databases, and APIs of applications. Python is often used for backend development. This course covers essential skills for a backend developer including control flow, handling inputs and outputs, and modules. The object-oriented programming concepts taught in this course are fundamental for developing well-structured server-side applications. A backend developer would benefit from the file handling and modules sections of this course.
See salaries and explore the career path for Backend Developer
Data Analyst
Data analysts interpret data to identify trends and patterns. Though they may not build models like data scientists, data analysts often use Python as a tool for data manipulation and analysis. This course helps build the fundamental background required to manipulate data using Python. A data analyst could use this course to build skills in control flow, functions, data structures, and using Python for input and output in a way that is critical to their job.
See salaries and explore the career path for Data Analyst
Embedded Systems Engineer
An embedded systems engineer works with hardware and software in embedded systems. Python is increasingly used in embedded systems development and testing. This course provides the foundational skills needed to manipulate data and write control logic, which are critical for an embedded systems engineer. An embedded system engineer may use Python to interface with hardware, perform tests, or automate processes. The skills taught in this course will help create test scripts and other utilities.
See salaries and explore the career path for Embedded Systems Engineer
Web Developer
A web developer creates and maintains websites and web applications. While this course does not focus on web development frameworks directly, it provides a crucial base in Python programming. Many web frameworks are built using Python, and a solid understanding of the language, including object-oriented programming and modules, as taught in this course, is essential for any web developer using the language. The course may be beneficial for understanding the underlying structure of these frameworks.
See salaries and explore the career path for Web Developer
Financial Analyst
A financial analyst analyzes financial data and trends to provide insights and recommendations. Python is increasingly used in finance for data analysis, backtesting, and algorithmic trading. This course helps build the Python skills needed to handle data. A financial analyst will find the course helpful for performing complex calculations, analyzing data, and automating financial processes.
See salaries and explore the career path for Financial Analyst
Game Developer
A game developer creates video games. While this course may not cover game development-specific libraries, the fundamentals of Python it teaches are widely applicable to game programming. A game developer would need knowledge of programming logic, data structures, and object-oriented concepts, all of which are covered in the course. In game development, scripting is often done with python, and this course will help a developer build that base knowledge.
See salaries and explore the career path for Game Developer
Research Scientist
A research scientist conducts experiments and studies in their field. Python is a very useful language for a research scientist, and the course will help build a solid background in the language. Many scientific tools and libraries are built using Python, and this course will help develop the core skills to use these tools. The course will be crucial to a research scientist who needs to manipulate data and automate tasks.
See salaries and explore the career path for Research Scientist
Database Administrator
A database administrator manages and maintains databases. While this course does not teach about databases itself, it provides the background for a database administrator to use Python for various database related task, for example, to automate tasks or to interact with databases. A database administrator will find this course useful for leveraging python scripts for their daily work due to coverage of fundamental concepts and object-oriented programming.
See salaries and explore the career path for Database Administrator

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 Learn Complete Python In Simple Way.
Cover image
Python Crash Course, 2nd Edition
Save
Provides a fast-paced, thorough introduction to Python. It's particularly useful for beginners and those with some programming experience. The book covers fundamental concepts and includes hands-on projects to solidify understanding, making it an excellent companion to the course.
Python Crash Course, 2nd Edition: A Hands-On,...
Paperback
$$
Python Crash Course, 2nd Edition: A Hands-On,...
Kindle Edition
$$
Cover image
Automate the Boring Stuff with Python, 2nd Edition
Save
Teaches Python through practical projects that automate everyday tasks. It's a great resource for applying Python skills to real-world problems. While not strictly necessary for the course, it provides valuable context and motivation for learning Python.
Automate the Boring Stuff with Python, 2nd Edition:...
Paperback
$$
Automate the Boring Stuff with Python, 2nd Edition:...
Kindle Edition
$$

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Course image
Rating
4.7 Filled star Filled star Filled star Filled star Half star
Effort
114 total hours
Via
Udemy
Instructor
DURGASOFT DURGA
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers fundamental data types like integers, floats, booleans, strings, lists, tuples, sets, and dictionaries, which are essential for building a strong foundation in Python
Explores object-oriented programming (OOP) concepts, exception handling, and file handling, which are crucial for developing robust and maintainable Python applications
Introduces modules and packages, which are essential for organizing and reusing code in larger Python projects, promoting modularity and code maintainability
Includes a section on pattern applications, which can help learners develop problem-solving skills and apply their knowledge of loops and conditional statements in a practical way
Focuses on Python 2.x input functions like raw_input(), which are deprecated in Python 3.x, so learners should be aware of the differences when working with newer versions
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