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Survival Python

SynopsisSurvival Python, available at Free, has an average rating of...
Survival Python  No.1

Survival Python, available at Free, has an average rating of 4.25, with 39 lectures, based on 122 reviews, and has 5147 subscribers.

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You will learn about You will learn terminology that is common to all programming languages. You will learn the Python syntax. You will learn how and when to use the basic data types and operators that Python supports. You will learn the most commonly used control structures. You will learn to create and use functions. This course is ideal for individuals who are Anyone who has never written a line of code before. or Developers/Scientists who have worked with other languages and want to learn the python fundamentals. It is particularly useful for Anyone who has never written a line of code before. or Developers/Scientists who have worked with other languages and want to learn the python fundamentals.

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Summary

Title: Survival Python

Price: Free

Average Rating: 4.25

Number of Lectures: 39

Number of Published Lectures: 39

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

  • You will learn terminology that is common to all programming languages.
  • You will learn the Python syntax.
  • You will learn how and when to use the basic data types and operators that Python supports.
  • You will learn the most commonly used control structures.
  • You will learn to create and use functions.
  • Who Should Attend

  • Anyone who has never written a line of code before.
  • Developers/Scientists who have worked with other languages and want to learn the python fundamentals.
  • Target Audiences

  • Anyone who has never written a line of code before.
  • Developers/Scientists who have worked with other languages and want to learn the python fundamentals.
  • Taking your first steps into the world of data science is intimidating enough. And if you have never written a line of code before, you may put off taking the plunge altogether. One of the hardest things when learning your first programming language is understanding what to ask when you have a problem. If you do not even know what to call those numbers separated by commas and surrounded by square brackets, how can you possibly know what to ask to find out how to modify them?

    With Survival Python course, you’ll go from asking the right questions to navigating all kinds of code with ease.

    Python is an easy-to-learn programming language that is ideal for those looking to explore careers in data science, web development, and network programming. Whether you want to know where to start when writing your own code, or want to know the most efficient way to utilize the code of others, Survival Python course has you covered.

    From installation to data types, operators, control structures, and functions, this course will provide you the groundwork for all future data science courses. Survival Python assumes no prior coding experience and focuses only on the essentials to get you up and running as quickly as possible.

    We start from the ground up and talk about everything from variable declaration to importing prebuilt modules. If you have worked with other programming languages but want a quick introduction to the basics of Python, this course is the perfect place for you. While this course assumes no prior programming experience, it is fast paced enough for developers who lack Python experience and want to learn the fundamentals in a methodical manner. You will finish this course with the knowledge and confidence to not only tackle all future Python-based courses, but position yourself as a leader in the field of data science.

    Course Curriculum

    Chapter 1: Course Introduction

    Lecture 1: Instructor Introduction

    Lecture 2: Getting The Course Material

    Chapter 2: Python Language Overview

    Lecture 1: Python Language Overview

    Lecture 2: What is Python

    Lecture 3: Obligatory Hello World

    Lecture 4: Variable Assignment

    Lecture 5: Comments

    Chapter 3: Basic Data Types

    Lecture 1: Basic Data Types

    Lecture 2: Integer

    Lecture 3: Float

    Lecture 4: String

    Lecture 5: Boolean

    Lecture 6: List

    Lecture 7: Dictionaries

    Chapter 4: Operators

    Lecture 1: Operators

    Lecture 2: Arithmetic Operators

    Lecture 3: Comparison Operators

    Lecture 4: Logical Operators

    Lecture 5: Membership Operators

    Chapter 5: Control Structures

    Lecture 1: Control Structures

    Lecture 2: If, and Indentation

    Lecture 3: If, elif, else

    Lecture 4: While Loop

    Chapter 6: Functions

    Lecture 1: For Loop

    Lecture 2: Basic Functions

    Lecture 3: Arguments

    Lecture 4: Return Values

    Lecture 5: Default Arguments

    Chapter 7: Data Types Details

    Lecture 1: Data Types Details

    Lecture 2: Integers and Floats

    Lecture 3: Strings

    Lecture 4: Booleans

    Lecture 5: Lists

    Lecture 6: Dictionaries

    Chapter 8: Other Common Tasks

    Lecture 1: Other Common Tasks

    Lecture 2: Importing

    Lecture 3: Importing From the Standard Library

    Lecture 4: User Input

    Lecture 5: Error Handling

    Instructors

  • Survival Python  No.2
    Bob Wakefield
    Data Management Expert
  • Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 1 votes
  • 3 stars: 18 votes
  • 4 stars: 37 votes
  • 5 stars: 65 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!