Learn Python programming
Python ലാംഗ്വേജ് ഉപയോഗിച്ച് കമ്പ്യൂട്ടർ പ്രോഗ്രാമിങ് പഠിക്കാം
ഇന്ന് വളരെയധികം സാധ്യതകളുള്ള ഒരു മേഖലയാണ് കമ്പ്യൂട്ടർ പ്രോഗ്രാമിങ് . മലയാളത്തിൽ തന്നെ Python പ്രോഗ്രാമിങ് പഠിക്കുവാൻ ഉള്ള അവസരം ഒരുക്കുകയാണ് ഈ കോഴ്സിലൂടെ . വളരെ ലളിതമായ രീതിയിലാണ് ഈ കോഴ്സ് അവതരിപ്പിക്കുന്നത് . അതുകൊണ്ടുതന്നെ കമ്പ്യൂട്ടർ ഉപയോഗിച്ച് പരിചയം ഉള്ള ആർക്കും ഈ കോഴ്സ് എടുത്ത് പഠിക്കാവുന്നതാണ് .
ഈ ഒരു കോഴ്സിലൂടെ ബേസിക് ആയിട്ടുള്ള കമ്പ്യൂട്ടർ കോഡിങ്ങും , പൈത്തൺ ലാംഗ്വേജ് ഉം നിങ്ങൾക്ക് പഠിക്കാവുന്നതാണ് . പൈത്തൺ ലാംഗ്വേജ് ന്റെ syntax ഉം അതുപയോഗിച്ചുള്ള പല പ്രോഗ്രാമുകളും നിങ്ങൾക്ക് ഈ കോഴ്സിലൂടെ പഠിക്കുവാൻ സാധിക്കും . അങ്ങനെ ഒരു കമ്പ്യൂട്ടർ പ്രോഗ്രാമർ ആയി മാറുവാനും ,പൈത്തൺ ലാംഗ്വേജ് കൈകാര്യം ചെയ്യുവാനും ഈ കോഴ്സിലൂടെ നിങ്ങൾക്ക് സാധിക്കുന്നു .
Detail
Dear students, we invite you to enroll in our 8-week Python programming course! This is an incredible opportunity to learn one of the most versatile and in-demand programming languages in the world. Our experienced instructor, Mr. Manu Francis, an EC-Council Certified Ethical Hacker, software engineer, and renowned educator, will guide you through the course with engaging and interactive live coding lectures. This course is designed for students of all levels, from complete beginners to those with some programming experience. By the end of the course, you will have a strong foundation in Python programming, which can open up a world of possibilities in various industries and career paths. Don’t miss out on this chance to acquire valuable skills and enhance your career prospects. Enroll now and embark on an exciting journey towards becoming a proficient Python programmer!
Course Outline
Week-1
Introduction to Python, Installing Python and IDEs, Running Python Programs
- Overview of Python programming language
- Installing Python on your computer
- Introduction to Python IDEs (Integrated Development Environments)
- Running your first Python program
Week-2
Basic Data Types (Numbers, Strings, Booleans), Operators, and Expressions
- Overview of basic data types in Python
- Working with numbers, strings, and booleans
- Arithmetic and comparison operators
- Understanding expressions and order of operations
Week-3
Control Structures (Conditionals and Loops)
- Introduction to control structures in Python
- Conditional statements (if/else)
- Looping statements (while/for)
- Nested loops and control statements
Week-4
Functions and Modules
- Understanding functions in Python
- Defining and calling functions
- Working with built-in and user-defined functions
- Introduction to modules and their usage in Python
Week-5
Input/Output Operations and Exception Handling
- Understanding input/output operations in Python
- Reading and writing files in Python
- Exception handling and error messages
- Try/Except blocks and handling exceptions
Week-6
Object-Oriented Programming (OOP) Concepts in Python
- Introduction to OOP concepts in Python
- Defining classes and objects
- Encapsulation, inheritance, and polymorphism
- Understanding the benefits of OOP in Python
Week-7
Working with APIs, Regular Expressions, Beautiful Soup, and more
- Overview of working with APIs and their usage in Python
- Overview of regular expressions and their usage in Python
- Introduction to Beautiful Soup for web scraping
- Advanced topics based on the students’ interest and the instructor’s discretion
Week-8
Final Project and Review
- Applying the concepts learned in the course to create a final project
- Reviewing the course content and addressing any remaining doubts or questions
Course Outcome
Programming Fundamentals
- Gain a solid understanding of programming concepts, including variables, data types, operators, expressions, and control structures.
- Develop the ability to write Python code that follows best practices for code structure and style.
Object-Oriented Programming
- Understand the principles of object-oriented programming, including classes, objects, inheritance, and polymorphism.
- Apply object-oriented programming concepts to create Python programs that are easier to write, read, and maintain.
Python Specific
- Learn how to read from and write to files using Python’s built-in file handling capabilities.
- Gain experience working with standard input/output (stdin/stdout) and error messages, as well as handling exceptions and errors.
- Understand how to use web scraping libraries like Beautiful Soup to extract data from websites.
- Learn how to interact with APIs and parse JSON responses to work with data from external sources.
Final Project
- Create a final project that showcases your skills and knowledge in Python programming.
- Apply the concepts learned throughout the course to create a practical, real-world program.
Collaboration and Communication
- Develop strong teamwork and communication skills by working on projects with peers.
- Learn how to write clear, concise code comments and documentation to make your code more readable and maintainable.
Edwhere Promise
At Edwhere Education, we are committed to providing courses that are designed for your growth and success. Our courses are delivered in a simple and easy-to-understand manner, so you can focus on learning and applying your new skills. We believe that education should be accessible and enjoyable for everyone, and we strive to make our courses engaging and interactive. Our promise to you is that we will provide quality education that will help you achieve your goals and advance in your career.
Want to talk to us?
Feel free to contact us
Extension Courses
If you have completed our Python Programming Course and are looking to further your education in computer science, we offer a range of advanced courses at Edwhere Education. These courses build on the foundational knowledge you gained in Python and delve into more complex topics. Our advanced courses cover topics such as web development, data analysis, machine learning, and programming languages such as Java and C++. Our expert instructors provide hands-on instruction to help you master these concepts and take your skills to the next level. We welcome you to continue your education with us and explore the exciting world of computer science.