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:

How to work with various data types.

What variables are and when to use them.

The importance of white space in Python.

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

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!