Python 3.7 – Programming Language Basics

Python 3.7 – Programming Language Basics, available at $19.99, has an average rating of 4.55, with 83 lectures, based on 270 reviews, and has 28078 subscribers.

You will learn about Learn how to Install and Setup Python Learn to use Jupyter Notebook for Python Learn Basics of Python Programming Language Learn Python Basics in 6.5 hours This course is ideal for individuals who are Anyone Interested It is particularly useful for Anyone Interested.

Enroll now: Python 3.7 – Programming Language Basics

Summary

Title: Python 3.7 – Programming Language Basics

Price: $19.99

Average Rating: 4.55

Number of Lectures: 83

Number of Published Lectures: 83

Number of Curriculum Items: 83

Number of Published Curriculum Objects: 83

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn how to Install and Setup Python
Learn to use Jupyter Notebook for Python
Learn Basics of Python Programming Language
Learn Python Basics in 6.5 hours

Who Should Attend

Anyone Interested

Target Audiences

Anyone Interested

Python is a general-purpose programming language that is quickly gaining in popularity. Unlike JavaScript, HTML, and CSS, it can be used in applications outside of web development, which makes it a very flexible programming language. Python’s basis is in English syntax, making it easy to read and accessible to first-time coders.

In this course, you will learn all the basics of Python 3.7 to get the hang of it from installation to implementing codes in Jupyter Notebook.

Below are the topics that will be covered:

1 – Why Python
2 -Python 2 VS Python 3
3 -Website Install
4 -Anaconda Install
5 -Miniconda
6 -CMD Basics
7 – Running Python – Text Editor
8 -Runnin Python – IDE pt1
9 -Runnin Python – IDE pt2
10 -Runnin Python – Notebook
11 – Variables
12 – Data type Strings – Part 1
13 – Data type Strings- Part 2
14 – Data type Strings – Part 3
15 – Data type Strings – Part 4
16 – Data type Strings – Part 5
17 – Data type Numbers – Part 1
18 – Data type Numbers – Part 2
19 – Data type Numbers – Part 3
20 – List Part 1(Accessing Elements)
21 – List – Part 2(Slicing)
22 – List – Part 3(Modify)
23 – List – Part 4(Append)
24 – List – Part 5 Insert Elements
25 – List – Part 6 Remove Elements
26 – List – Part 7 Pop() Elements
27 – List – Part 8 Remove() Elements
28 – Organize List – Sort()
29 – Organize List – Sorted()
30 – Organize List – Reverse()
31 – List – Index Error
32 – For Loop in List – pt 1
33 – For Loop in List – pt 2
34 – For Loop in List – pt 3
35 – Numerical List – pt 1
36 – Numerical List – pt 2
37 – Numerical List – pt 3
38 – Numerical List – pt 4 Statistics
39 – Numerical List – pt 5 List comprehension
40 – Working with List- slicing
41 – Working with List- Looping through slice
42 – Working with List- Copying through slice
43 – Tuple – Defining
44 – Tuple – Looping
45 – Tuple – Writing
46 – If stmt – Example
47 – If stmt – Conditional test
48 – If stmt – Conditional test – Cases
49 – If stmt – Conditional test Inequality
50 – Numerical Comparisons
51 – Numerical Comparisons – Multiple conditions
52 – Check Values in List or not
53 – Boolean Expressions
54 – If, If else statement
55 – If elif else statement
56 – Multiple elif Blocks
57 – Omitting else block
58 – Test Multiple conditions
59 – If statement with List – Pt 1
60 – Check for Empty List
61 – Multiple Lists
62 – Dictionaries
63 – Dictionaries – Access value
64 – Dictionaries – Adding value
65 – Dictionaries – Modify value
66 – Dictionaries – Removing key-value
67 – Dictionary of similar objects
68 – Dictionary Looping pt1
69 – Dictionary Looping pt2
70 – Dictionary Looping pt3
71 – Dictionary Looping pt4
72- Nesting Pt 1
73- Nesting Pt 2
74- Nesting Pt 3
75 – User Input pt1
76- User Input pt 2
77 While Loop pt 1
78 While Loop pt 2
79 While Loop pt 3
80 Functions Introduction
81 Functions Definition
82 Function Call

Happy Learning

Aeraaf Patel

Freedom 10x Ventures

Course Curriculum

Chapter 1: Introduction

Lecture 1: 1 – Why Python

Lecture 2: 2 -Python 2 VS Python 3

Lecture 3: 3 -Website Install

Lecture 4: 4 -Anaconda Install

Lecture 5: 5 -Miniconda

Lecture 6: 6 -CMD Basics

Lecture 7: 7 – Running Python – Text Editor

Lecture 8: 8 -Runnin Python – IDE pt1

Lecture 9: 9 -Runnin Python – IDE pt2

Lecture 10: 10 -Runnin Python – Notebook

Lecture 11: 11 – Variables

Lecture 12: 12 – Data type Strings – Part 1

Lecture 13: 13 – Data type Strings- Part 2

Lecture 14: 14 – Data type Strings – Part 3

Lecture 15: 15 – Data type Strings – Part 4

Lecture 16: 16 – Data type Strings – Part 5

Lecture 17: 17 – Data type Numbers – Part 1

Lecture 18: 18 – Data type Numbers – Part 2

Lecture 19: 19 – Data type Numbers – Part 3

Lecture 20: 20 – List Part 1(Accessing Elements)

Lecture 21: 21 – List – Part 2(Slicing)

Lecture 22: 22 – List – Part 3(Modify)

Lecture 23: 23 – List – Part 4(Append)

Lecture 24: 24 – List – Part 5 Insert Elements

Lecture 25: 25 – List – Part 6 Remove Elements

Lecture 26: 26 – List – Part 7 Pop() Elements

Lecture 27: 27 – List – Part 8 Remove() Elements

Lecture 28: 28 – Organize List – Sort()

Lecture 29: 29 – Organize List – Sorted()

Lecture 30: 30 – Organize List – Reverse()

Lecture 31: 31 – List – Index Error

Lecture 32: 32 – For Loop in List – pt 1

Lecture 33: 33 – For Loop in List – pt 2

Lecture 34: 34 – For Loop in List – pt 3

Lecture 35: 35 – Numerical List – pt 1

Lecture 36: 36 – Numerical List – pt 2

Lecture 37: 37 – Numerical List – pt 3

Lecture 38: 38 – Numerical List – pt 4 Statistics

Lecture 39: 39 – Numerical List – pt 5 List comprehension

Lecture 40: 40 – Working with List- slicing

Lecture 41: 41 – Working with List- Looping through slice

Lecture 42: 42 – Working with List- Copying through slice

Lecture 43: 43 – Tuple – Defining

Lecture 44: 44 – Tuple – Looping

Lecture 45: 45 – Tuple – Writing

Lecture 46: 46 – If stmt – Example

Lecture 47: 47 – If stmt – Conditional test

Lecture 48: 48 – If stmt – Conditional test – Cases

Lecture 49: 49 – If stmt – Conditional test Inequality

Lecture 50: 50 – Numerical Comparisons

Lecture 51: 51 – Numerical Comparisons – Multiple conditions

Lecture 52: 52 – Check Values in List or not

Lecture 53: 53 – Boolean Expressions

Lecture 54: 54 – If, If else statement

Lecture 55: 55 – If elif else statement

Lecture 56: 56 – Multiple elif Blocks

Lecture 57: 57 – Omitting else block

Lecture 58: 58 – Test Multiple conditions

Lecture 59: 59 – If statement with List – Pt 1

Lecture 60: 60 – Check for Empty List

Lecture 61: 61 – Multiple Lists

Lecture 62: 62 – Dictionaries

Lecture 63: 63 – Dictionaries – Access value

Lecture 64: 64 – Dictionaries – Adding value

Lecture 65: 65 – Dictionaries – Modify value

Lecture 66: 66 – Dictionaries – Removing key-value

Lecture 67: 67 – Dictionary of similar objects

Lecture 68: 68 – Dictionary Looping pt1

Lecture 69: 69 – Dictionary Looping pt2

Lecture 70: 70 – Dictionary Looping pt3

Lecture 71: 71 – Dictionary Looping pt4

Lecture 72: 72- Nesting Pt 1

Lecture 73: 73- Nesting Pt 2

Lecture 74: 74- Nesting Pt 3

Lecture 75: 75 – User Input pt1

Lecture 76: 76- User Input pt 2

Lecture 77: 77 While Loop pt 1

Lecture 78: 78 While Loop pt 2

Lecture 79: 79 While Loop pt 3

Lecture 80: 80 Functions Introduction

Lecture 81: 81 Functions Definition

Lecture 82: 82 Function Call

Lecture 83: FREE BONUS

Instructors

Freedom 10x Ventures
Digital Business Coach

Rating Distribution

1 stars: 3 votes
2 stars: 10 votes
3 stars: 31 votes
4 stars: 101 votes
5 stars: 125 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!

Menu