Python for Beginners: The Complete Python Masterclass
Python for Beginners: The Complete Python Masterclass, available at $64.99, has an average rating of 4.05, with 116 lectures, 21 quizzes, based on 284 reviews, and has 15364 subscribers.
You will learn about Acquire core Python skills for smooth transition into Data Science, Machine Learning Learn python by solving problems: Solve coding exercises (Solutions included) Confidently appear in Job interviews for the role of Junior Python Programmer Go from a complete beginner to a professional Python developer Write professional, high-quality Pythonic code Understand how Python works behind the scene Stay relevant and up-to-date with new content and assignments updated regularly This course is ideal for individuals who are Absolute beginners who want to develop their computer programming skills or IT professionals coming from other programming languages It is particularly useful for Absolute beginners who want to develop their computer programming skills or IT professionals coming from other programming languages.
Enroll now: Python for Beginners: The Complete Python Masterclass
Summary
Title: Python for Beginners: The Complete Python Masterclass
Price: $64.99
Average Rating: 4.05
Number of Lectures: 116
Number of Quizzes: 21
Number of Published Lectures: 112
Number of Published Quizzes: 20
Number of Curriculum Items: 157
Number of Published Curriculum Objects: 152
Original Price: ₹5,499
Quality Status: approved
Status: Live
What You Will Learn
- Acquire core Python skills for smooth transition into Data Science, Machine Learning
- Learn python by solving problems: Solve coding exercises (Solutions included)
- Confidently appear in Job interviews for the role of Junior Python Programmer
- Go from a complete beginner to a professional Python developer
- Write professional, high-quality Pythonic code
- Understand how Python works behind the scene
- Stay relevant and up-to-date with new content and assignments updated regularly
Who Should Attend
- Absolute beginners who want to develop their computer programming skills
- IT professionals coming from other programming languages
Target Audiences
- Absolute beginners who want to develop their computer programming skills
- IT professionals coming from other programming languages
If you’re looking for an exhaustive, yet easy-to-understand course on the basic concepts of Python, you’re welcome to join us – the ever-growing group of more than 15000 students worldwide!
Python has gained lots of popularity – it is an in-demand programming language that is backbone of data science, data analysis, machine learning and artificial intelligence! Python is one of the most popular programming languages – widely used by giant IT companies – Google, Dropbox, NASA, Instagram, Disqus, Pinterest and many more.
If you want to become a Data scientist, Data analyst, Python programmer, Web developer, Artificial Intelligence engineer, or a Machine learning engineer – not on a superficial level – but thoroughly, you need to master the basics of Python.
This course on Python will give you a ‘perfect’ start in Python programming! If
1. You’re an absolute beginner who has never programmed before, or
2. you want to understand ins and outs of Python thoroughly,
You are at the right place!
This is NOT a quick to learn, refresher guide. More than 6 hours of solid content, and lots of practice question, coding exercises, mini projects, and assignments on Pythonare included in this Python masterclass to help you solidify what you learn! The course is continuously upgraded with new lectures and assignments every month!
So, what all do we cover in this course? well, all the basic concepts a beginner needs! We start from scratch, and cover the following topics in great detail:
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Installing Python
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Running Python
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Working with variables
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Primitive data types (numbers, booleans, strings)
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Complex data types (list, tuple, dictionaries, set…)
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conditional statements (if | elif)
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Looping (for loop, while loop)
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Functions
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File Handling
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Date structures
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memory management
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Modules
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Packages
Also learn about
– the tool used by Python developers and Data Scientists – Jupyter Notebook
– cool Python Tips and Tricks
Get notes on each and every important topic in Python fundamentals.
So, what are you waiting for? Enroll in the course to join an active group of 15000 students willing to become professional Pythonistas!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Python -What makes it hot and popular language?
Chapter 2: How to approach this masterclass
Lecture 1: Understand the Udemy Interface (don't skip if you're new to Udemy)
Chapter 3: Installing Python
Lecture 1: Decide what you want? just the core Python? or Python with Extras?
Lecture 2: Option 1 – Installing Core Python (no libraries)
Lecture 3: A message for You!
Lecture 4: option 2 – Installing Anaconda (Python with extra features…)
Chapter 4: Working within a virtual environment
Lecture 1: Significance of the PATH variable
Lecture 2: Virtual Environment
Lecture 3: Virtual environment – understand it by a real life use case
Lecture 4: Installing and/or upgrading PIP: the package manager
Lecture 5: Create, activate, deactivate a virtual environment
Chapter 5: Jupyter Notebook – a very useful tool
Lecture 1: Launch Jupyter Notebook app
Lecture 2: User Interface of Jupyter Notebook – 1
Lecture 3: User Interface of Jupyter Notebook – part 2
Lecture 4: Working with Jupyter Notebook – part 1
Lecture 5: Working with Jupyter Notebook – part 2
Lecture 6: Working with Jupyter Notebook – part 3
Lecture 7: Working with Jupyter Notebook – part 4
Lecture 8: Working with Jupyter Notebook – part 5
Lecture 9: Working with Jupyter Notebook – part 6
Chapter 6: warm up! : before you dive deeper into the fundamentals
Lecture 1: Running Python Statements
Lecture 2: Python: Interesting Facts
Lecture 3: Keywords, Reserved Words and Identifiers
Lecture 4: Good to remember points
Lecture 5: Commenting the Python Code
Lecture 6: Points to note (comments)
Chapter 7: variables
Lecture 1: Variables and data types :overview
Lecture 2: Concept of a Variable – part1
Lecture 3: Concept of a Variable – part 2
Lecture 4: Concept of a Variable – part 3
Lecture 5: Points to note (variables)
Chapter 8: overview of the data types and the operators in Python
Lecture 1: Fundamental Data Types – part1
Lecture 2: Fundamental Data Types – part2
Lecture 3: Arithmetic Operators – part1
Lecture 4: Arithmetic Operators – part2
Lecture 5: Size of Python Data Types
Lecture 6: Fundamental Data Types: summary
Lecture 7: Other Data Types – overview
Chapter 9: common built-in functions
Lecture 1: Exploring the Print Function
Lecture 2: Input Function
Lecture 3: Casting Functions in Python
Lecture 4: Built-in Functions – part 1 (summary)
Chapter 10: Conditional statements
Lecture 1: Conditional Statements – part 1
Lecture 2: Conditional Statements – part 2
Chapter 11: Strings
Lecture 1: Strings – How to Create
Lecture 2: String as an Array
Lecture 3: strings – points covered so far
Lecture 4: Slicing a String – part1
Lecture 5: Slicing a String: part2
Lecture 6: Exploring Strings – Repetition & Concatenation Operators
Lecture 7: String Formatting: the standard old school way
Lecture 8: String Formatting : for Python 3.6 and higher
Chapter 12: Lists
Lecture 1: Exploring List – part 1
Lecture 2: Exploring List – part 2
Lecture 3: Difference Between Strings and Lists
Lecture 4: Points to note
Lecture 5: List Comprehension
Chapter 13: Range
Lecture 1: Exploring Range
Chapter 14: loops : Iteration
Lecture 1: Exploring the 'for' Loop
Lecture 2: Exploring the 'while' loop
Lecture 3: break and continue statements
Lecture 4: When to use which loop? For loop or While loop !!
Chapter 15: Tuple
Lecture 1: Concept of 'Tuple'
Instructors
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Anup Shukla
Web & Application Developer | Project Manager -
Jibok Chatterjee
'Water Professional'
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 10 votes
- 3 stars: 54 votes
- 4 stars: 114 votes
- 5 stars: 103 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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