Python Programming Bootcamp (2019)
Python Programming Bootcamp (2019), available at Free, has an average rating of 4.55, with 76 lectures, based on 1497 reviews, and has 47372 subscribers.
You will learn about Learn to program in Python at a good level Learn about integer, float, logical, string and other types in Python Learn how to create variables Learn how to create a while() loop and a for() loop in Python This course is ideal for individuals who are For Complete Programming Beginners or Anyone who wants to learn Python It is particularly useful for For Complete Programming Beginners or Anyone who wants to learn Python.
Enroll now: Python Programming Bootcamp (2019)
Summary
Title: Python Programming Bootcamp (2019)
Price: Free
Average Rating: 4.55
Number of Lectures: 76
Number of Published Lectures: 76
Number of Curriculum Items: 76
Number of Published Curriculum Objects: 76
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Learn to program in Python at a good level
- Learn about integer, float, logical, string and other types in Python
- Learn how to create variables
- Learn how to create a while() loop and a for() loop in Python
Who Should Attend
- For Complete Programming Beginners
- Anyone who wants to learn Python
Target Audiences
- For Complete Programming Beginners
- Anyone who wants to learn Python
Become a Python Programmer and learn one of employer’s most requested skills of 2019!
This course assumes no previous programming or Python experience. If you’ve never programmed a computer before, or if you know another programming language and want to learn Python, this course will teach you how.
The goal of the course is to introduce students to Python Version 3.x programming.
Here is what you will get and learn by taking this Python Programming Bootcamp (2019)course:
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How to work with various data types.
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What variables are and when to use them.
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The importance of white space in Python.
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Other.
Course Curriculum
Chapter 1: Coding environment
Lecture 1: Install Python and PyCharm
Lecture 2: PyCharm Introduction
Chapter 2: Tips for beginners
Lecture 1: Indentation
Lecture 2: The zen of Python and PEP 8
Lecture 3: Shadowing mistake
Chapter 3: Variables and Comments
Lecture 1: Variables
Lecture 2: Switch values
Lecture 3: Comments
Chapter 4: Comparison and logical operators
Lecture 1: Comparison Operators
Lecture 2: Logical Operators
Chapter 5: Print
Lecture 1: Print
Lecture 2: Print Formating
Chapter 6: Variables
Lecture 1: Numbers
Lecture 2: Strings
Lecture 3: Exercise: Strings
Lecture 4: String methods
Lecture 5: Typecasting
Chapter 7: Data Structures
Lecture 1: List
Lecture 2: List indexing and slicing
Lecture 3: Exercise: Calculate average
Lecture 4: Add and remove list elements
Lecture 5: List and Range
Lecture 6: LIst sort and reverse
Lecture 7: List of lists
Lecture 8: Dictionary
Lecture 9: Exercise: Dictionary
Lecture 10: Tuple
Lecture 11: Set
Lecture 12: Exercise: Set
Chapter 8: Input
Lecture 1: Reading multiple inputs
Lecture 2: Exercise: Reading multiple inputs
Chapter 9: Control Flow
Lecture 1: If
Lecture 2: Exercise: Light switch
Lecture 3: Exercise: Number is odd or even
Lecture 4: For
Lecture 5: Execise: Top 3 values
Lecture 6: While
Lecture 7: Exercise: Sublist of list
Lecture 8: Break
Lecture 9: Continue
Chapter 10: List Comprehension
Lecture 1: List Comprehension
Lecture 2: Exercise: Common Elements
Lecture 3: Value Validation using List Comprehension
Chapter 11: Functions
Lecture 1: Functions
Lecture 2: Return a variable
Lecture 3: Return multiple variables
Lecture 4: Assign keyword arguments
Lecture 5: Assign function to variable
Lecture 6: Globals function
Lecture 7: Send any type as parrameter
Lecture 8: Local function
Lecture 9: Return function
Lecture 10: Send function as parameter to another function
Lecture 11: Recursion
Lecture 12: Exercise: Recursion
Lecture 13: Generators
Lecture 14: Exercise: Local functions
Chapter 12: Lambda
Lecture 1: Lambda
Lecture 2: Sum of two numbers
Lecture 3: Maximum of two numbers
Lecture 4: Is even or odd
Lecture 5: Filter
Lecture 6: Map
Lecture 7: Reduce
Lecture 8: Using sort function
Chapter 13: Files
Lecture 1: Files
Lecture 2: Write to file
Lecture 3: Read from file
Lecture 4: Check if file exist
Chapter 14: Exception Handling
Lecture 1: Handling Exceptions
Lecture 2: Handling multiple exceptions
Lecture 3: Else
Lecture 4: Finally
Lecture 5: Assert
Chapter 15: Pandas
Lecture 1: Data analysis using Pandas
Chapter 16: Conclusion
Lecture 1: Bonus
Instructors
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Bordeianu Adrian
Developper
Rating Distribution
- 1 stars: 46 votes
- 2 stars: 76 votes
- 3 stars: 264 votes
- 4 stars: 559 votes
- 5 stars: 552 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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