Python Programmer's Ultimate Guide | Zero to Hero
Python Programmer's Ultimate Guide | Zero to Hero, available at $79.99, has an average rating of 4.6, with 173 lectures, 1 quizzes, based on 62 reviews, and has 2000 subscribers.
You will learn about Crack Python interviews easier with proper ground level understand of Python and provided Real-world Interview questions You will have a stronger and clearer understanding of programming language principles Be able to use various concepts of Python comfortably to make efficient applications Acquire pre-requisite programming experience in Python for other python branches such as Machine Learning, Data Science Write efficient code in Python 3 Make very confirmable in Python OOP (Object Oriented Programming) Solve complex python coding problems easier, based on experience of solving various Python exercises provided in this course This course is ideal for individuals who are The developers (beginners / experienced) who wants to learn Python Programming from scratch with proper examples, real world use cases, exercises / assignments, interview questions It is particularly useful for The developers (beginners / experienced) who wants to learn Python Programming from scratch with proper examples, real world use cases, exercises / assignments, interview questions.
Enroll now: Python Programmer's Ultimate Guide | Zero to Hero
Summary
Title: Python Programmer's Ultimate Guide | Zero to Hero
Price: $79.99
Average Rating: 4.6
Number of Lectures: 173
Number of Quizzes: 1
Number of Published Lectures: 173
Number of Published Quizzes: 1
Number of Curriculum Items: 187
Number of Published Curriculum Objects: 187
Number of Practice Tests: 1
Number of Published Practice Tests: 1
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- Crack Python interviews easier with proper ground level understand of Python and provided Real-world Interview questions
- You will have a stronger and clearer understanding of programming language principles
- Be able to use various concepts of Python comfortably to make efficient applications
- Acquire pre-requisite programming experience in Python for other python branches such as Machine Learning, Data Science
- Write efficient code in Python 3
- Make very confirmable in Python OOP (Object Oriented Programming)
- Solve complex python coding problems easier, based on experience of solving various Python exercises provided in this course
Who Should Attend
- The developers (beginners / experienced) who wants to learn Python Programming from scratch with proper examples, real world use cases, exercises / assignments, interview questions
Target Audiences
- The developers (beginners / experienced) who wants to learn Python Programming from scratch with proper examples, real world use cases, exercises / assignments, interview questions
Why should you subscribe to this Python course?
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This course is taught by Mr. Harsha Vardhan, a professional python programmer, mentor and team leader – worked on various projects in different roles. So he knows which is important and crucial area in Python concepts and that’s what is focused in the course. You will be able to write optimum Python code by following this Python code.
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Everything taught practically with diagrammatical explanation
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Focus on “why” to do some programming concept, apart from “how”
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We believe that the proper way to understand programming concepts is, “by really doing it and learn from errors”; and that is what used in this course. In many cases, we think about various possibilities in the coding and analyze reasons of errors if they appear on our way.
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Real world scenarios and use cases explained for each smaller concept of Python
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More scope for your involvement in practice with assignments / exercises, MCQs, interview questions etc.
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Source code, python cheat sheets are provided to download
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Captions(CC) in English are provided for all lectures
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You can get Instructor’s help by asking questions in “Q&A” section, if you face any challenge at your practice time
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Covers all essential concepts of Python rather than just rushing through basics / overview of several programming concepts. Check the course curriculum for more details.
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Course content will be kept up to date with future updates of Python
Will the course teach me data science, machine learning and artificial intelligence?
No, it is not – All of these topics are branches of Python programming. And all of them require a solid understanding of the Python language.
Nearly all courses on these topics assume that you understand Python, and without it you will quickly become lost and confused.
This course will give you that core, solid understanding of the Python programming language.
By the end of the course you will be ready to apply for Python programming positions as well as move on to specific areas of Python, as listed above.
I don’t know anything about programming. Will I still be able to learn Python?
This course assumes you have no previous knowledge of programming. Whenever a programming term is mentioned in the class (e.g., a variable), that term is explained thoroughly, so you not only understand how to use that particular term in Python, you also understand what that term means in programming.
What IDE/editor is used in this course?
We use PyCharm Community (free) in all lectures, to build python programs. You can use it with Windows / Mac, as per your convenience.
No Risk – Money-Back Guarantee
Finally, there is no risk. You can preview first few lectures of the course for free. Once you buy this course, for some reason if you are not happy with the course, Udemy offers a 30-day money back guarantee.
Course Curriculum
Chapter 1: Python Language Basics
Lecture 1: Setup Python and PyCharm
Lecture 2: First Program in Python
Lecture 3: Strings – Part 1
Lecture 4: Strings – Part 2
Lecture 5: Arithmetical Operators
Lecture 6: Booleans
Lecture 7: Comparison Operators
Lecture 8: Logical Operators
Lecture 9: Variables
Lecture 10: Variable Names
Lecture 11: Assignment Operators
Chapter 2: Strings (Advanced)
Lecture 1: Slicing Strings
Lecture 2: Checking Strings
Lecture 3: Formatting Strings
Lecture 4: Casing Strings
Lecture 5: Modifying Strings
Chapter 3: Data Types
Lecture 1: Data Types
Lecture 2: Type Conversion
Lecture 3: Truthy and Falsy values
Lecture 4: None
Lecture 5: Implicit Type Conversion
Lecture 6: Number Systems – Part 1
Lecture 7: Number Systems – Part 2
Lecture 8: Number Systems – Part 3
Lecture 9: Number Systems – Part 4
Lecture 10: Number Systems – Part 5
Lecture 11: Math – Part 1
Lecture 12: Math – Part 2
Lecture 13: Memory Allocation – Part 1
Lecture 14: Memory Allocation – Part 2
Lecture 15: Mutable vs Immutable Types
Lecture 16: Swap Variables
Lecture 17: Keyboard Inputs
Lecture 18: Exercises
Chapter 4: Lists
Lecture 1: Lists
Lecture 2: Slicing Lists
Lecture 3: Search List Elements
Lecture 4: Add or Change List Elements
Lecture 5: Removing List Elements
Lecture 6: Sort List Elements – Part 1
Lecture 7: Sort List Elements – Part 2
Lecture 8: Copy Lists
Lecture 9: Unpacking Lists
Lecture 10: Math Functions on Lists
Lecture 11: Nested Lists
Lecture 12: Join
Lecture 13: Range
Chapter 5: Tuples
Lecture 1: Tuples – Part 1
Lecture 2: Tuples – Part 2
Lecture 3: Nested Tuples
Lecture 4: Trick to Update Tuple
Lecture 5: Search Tuples
Lecture 6: Tuple Concatenation
Lecture 7: Unpack Tuples
Lecture 8: Swap Variables using Tuples
Lecture 9: Math Functions on Tuples
Lecture 10: Deleting Tuples
Lecture 11: Exercises
Chapter 6: Dictionaries
Lecture 1: Dictionaries
Lecture 2: Adding and Updating Dictionary
Lecture 3: Removing Dictionary Elements
Lecture 4: Copy Dictionary
Lecture 5: Merge Dictionaries
Lecture 6: Convert Tuple into Dictionary
Lecture 7: Convert List into Dictionary
Lecture 8: Get Keys and Values
Lecture 9: Unpacking Dictionaries
Lecture 10: Search Dictionaries
Lecture 11: Nested Dictionaries
Lecture 12: format, format_map with dictionary
Lecture 13: List of Dictionaries
Lecture 14: Sort List of Dictionaries
Chapter 7: Sets
Lecture 1: Sets
Lecture 2: Add Elements to Set
Lecture 3: Remove Elements from Set
Lecture 4: Union
Lecture 5: Intersection
Lecture 6: Difference
Lecture 7: Symmetric_difference
Lecture 8: issubset and isdisjoint
Lecture 9: Frozenset
Lecture 10: Exercises
Chapter 8: if
Instructors
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Web University by Harsha Vardhan
MS Certified Trainer | 1.3M+ Happy Students
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 2 votes
- 4 stars: 16 votes
- 5 stars: 41 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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