Complete Python Tutorial For Beginners to Expert

Learn with 25 + Python Project and Bonus Numpy Tutorial

Ratings 3.94 / 5.00
Complete Python Tutorial For Beginners to Expert

What You Will Learn!

  • Python Syntax, comments, datatypes, variables, numbers, casting, strings, booleans, operators, list, tuples, sets, dictionary
  • if...else, while loop, for loop, functions, lambda, array, classes, objects, inheritance, iterators, scope, modules, dates, maths, json
  • regex, pip, try...except, user input, string formating, rapid prototyping, or for production-ready software development,
  • More than 15 Live Projects

Description

Join us on a journey into the world of programming with our Comprehensive Python Programming Course! Whether you're new to coding or already familiar with programming concepts, this course offers a solid curriculum that covers everything you need to know about Python.


Course Overview:


In this course, we'll delve deep into Python, exploring each essential concept and technique to give you a strong programming foundation. From basic syntax to advanced topics, you'll gain a comprehensive understanding of Python's capabilities and applications.


Course Contents:


1. Introduction to Python: Begin with Python's syntax, data types, and fundamental programming concepts.


2. Comments and Documentation: Learn to add comments to code and create thorough project documentation.


3. Working with Data: Explore variables, numbers, type casting, strings, and boolean operations for effective data manipulation.


4. Operators and Expressions: Master Python's various operators and create complex expressions for calculations and comparisons.


5. Data Collections: Dive into vital data structures like lists, tuples, sets, and dictionaries for organizing data.


6. Control Flow: Understand conditional statements (if...else) and loops (while and for) to control program flow.


7. Functions and Lambdas: Learn to define and use functions, including lambda functions, for efficient code.


8. Object-Oriented Programming (OOP): Explore OOP principles, including classes, objects, inheritance, and polymorphism.


9. Advanced Topics: Delve into iterators, scope, modules, dates, mathematical operations, JSON, and regular expressions.


10. Package Management: Discover the power of pip, the package installer, for incorporating external libraries.


11. Error Handling: Master error management using try...except blocks for robust applications.


12. User Interaction: Learn to gather user input for interactive programs.


13. String Formatting: Explore methods of formatting strings for clear output.


14. Project Development: Engage in over 15 real-life projects to apply knowledge to practical problems.


15. Software Development Strategies: Gain insights into rapid prototyping and creating production-ready software.


Why Enroll?


By course end, you'll confidently tackle programming challenges using Python. Our comprehensive curriculum, hands-on projects, and practical approach ensure you grasp and apply concepts effectively.


Who Should Take This Course?


- Beginners starting programming from scratch

- Individuals adding Python to their skillset

- Programmers transitioning to Python from other languages


Instructor Support:


Our experienced instructors provide guidance, clear doubts, and offer insights for your success in mastering Python.


Whether you're building a strong programming foundation, practical applications, or preparing for a software development career, our Comprehensive Python Programming Course opens the door to success. Enroll now and unlock Python's power!

Who Should Attend!

  • Python is one of the most loved programming languages by developers, data scientists, software engineers, and even hackers because of its versatility, flexibility, and object-oriented features.
  • For anyone looking to switch careers into the tech world through coding
  • Anyone interested in programming, regardless of their background, can learn a Python course.
  • Beginners seeking to acquire programming skills, students, and professionals like software developers or data analysts can benefit from learning Python.

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Tags

  • Python

Subscribers

734

Lectures

113

TAKE THIS COURSE



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