Python Bootcamp: 30 Hours Of Step By Step Python Lessons

Python Bootcamp: 30 Hours Of Step By Step Python Lessons, available at $59.99, has an average rating of 4.5, with 164 lectures, based on 37 reviews, and has 282 subscribers.

You will learn about Introduction to Python Date and Time in Python Sets and Trigonometry Logarithmic in Python Arrays in Python Round off, and Complex Numbers Strings in Python Strings, ord, and chr Lists in Python Tuples in Python Multiple Sequences Loops and List in Python Appending Sequences Comprehension in Python List, Item and Iterators Zip and Attributes in Python Mapping in Python dir Attributes Zip and Map Operator Printing Dictionaries Items Arguments and Functions in Python Sequences in Python Defining Functions Changer Function def in Python Knownly Type of a Function def Statement String Code, and Sum Tree Sum Tree Echo and Lambda Function Schedule Function def and Reducing Function in Python for and if in Range def Saver and ASCII, and Exception Get Attributes and Decorator in Python Turtle and Compilation Logging and HTTP Make Calculator Binary Numbers in Python Countdown Time in Python Size and Path of a File Data Visualization Pandas Library Encoding and Decoding in Python Shelve in Python This course is ideal for individuals who are For those who have interest in Python or For those who want to build their career in programming languages like python It is particularly useful for For those who have interest in Python or For those who want to build their career in programming languages like python.

Enroll now: Python Bootcamp: 30 Hours Of Step By Step Python Lessons

Summary

Title: Python Bootcamp: 30 Hours Of Step By Step Python Lessons

Price: $59.99

Average Rating: 4.5

Number of Lectures: 164

Number of Published Lectures: 164

Number of Curriculum Items: 164

Number of Published Curriculum Objects: 164

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to Python
Date and Time in Python
Sets and Trigonometry
Logarithmic in Python
Arrays in Python
Round off, and Complex Numbers
Strings in Python
Strings, ord, and chr
Lists in Python
Tuples in Python
Multiple Sequences
Loops and List in Python
Appending Sequences
Comprehension in Python
List, Item and Iterators
Zip and Attributes in Python
Mapping in Python
dir Attributes
Zip and Map Operator
Printing Dictionaries Items
Arguments and Functions in Python
Sequences in Python
Defining Functions
Changer Function
def in Python
Knownly Type of a Function
def Statement
String Code, and Sum Tree
Sum Tree
Echo and Lambda Function
Schedule Function
def and Reducing Function in Python
for and if in Range
def Saver and ASCII, and Exception
Get Attributes and Decorator in Python
Turtle and Compilation
Logging and HTTP
Make Calculator
Binary Numbers in Python
Countdown Time in Python
Size and Path of a File
Data Visualization
Pandas Library
Encoding and Decoding in Python
Shelve in Python

Who Should Attend

For those who have interest in Python
For those who want to build their career in programming languages like python

Target Audiences

For those who have interest in Python
For those who want to build their career in programming languages like python

30 hours of clear and concise step-by-step instructions, practical lessons, and engagement

This course introduces Python as a programming language, how to use it, and the different underlying concepts in developing applications or solving real-world problems using this language. This course does not require technical Coding skills and it is meant for everyone who wishes to build a career in digital world.

What will you learn:

Introduction to Python
Date and Time in Python
Sets, Trigonometry, Logarithmic in Python
Arrays in Python
Round off, and Complex Numbers in Python
Strings in Python
Strings, ord, chr, and Binary Numbers in Python
Lists and Dictionaries in Python
Tuples in Python

Contents and Overview

You’ll start with Intro To Python: Printing Variables in Python, Strings, Floating Points, and Digits in Python, Printing Variables in Python, Inserting, Removing, and Pop Up of Variables in Python.

Date and Time In Python: Printing Date and Time in Python, Import and From Date Time in Python, Printing Current Date Time in Python, Printing Current Year in Python, Hours, Minutes, and Seconds in Python, Microseconds in Python, Time stamp in Python, Time Difference in Python, Time Delta in Python, Time Delta in Python 2, Now Date and Time in Python

Sets, Trigonometry, Logarithmic in Python; Intersection and Union of Sets in Python; Difference of Sets in Python, True and False in Sets Using Python, Adding and Removing Elements in Sets, Code for Intersection and Union in Python, Element in Sets, Math and CMath, Trigonometry in Python, Logarithmic and Mod Operators, Bitwise Operators in Python, Binary into Decimals in Python, Binary into Integers, Multiple Variables in Python, True and False Statement in Python

Arrays in Python: Arrays in Python, Inserting Elements in Array, Pop Up Arrays, Index and Reverse Arrays, Finding Error in Codes: Assignment

Round off, Trigonometry and Complex Numbers in Python: Round off and Truncation, Degrees into Radians and Radians into Degrees Using Python, Positive and Negative Infinity in Python, Not a Number Coding in Python, Complex Numbers Coding in Python

Strings in Python: Printing Strings in Python, Counting in Strings, Open a File in Python, Printing Multiple Strings in Python, Strings True and False in Python, Slicing and Indexing in Strings

Strings, ord, chr and binary numbers in Python: Strings and Integers, ord and chr Tools in Python, Int and Binary Numbers in Python

Lists and Dictionaries in Python: Lists in Python, Adding Strings in Lists, Pop Up and Removing Strings in Lists, Assignment Code, Dictionaries in Python, Lists, and Dictionaries

Tuples in Python: Tuples in Python: Lists into Tuples, Why Lists and Tuples in Python, Data File in Python

Assigning Tuples, Strings and Tuples, Strings, Tuples into Lists, Sequences in Python, Multiple Sequences.

Tuples into Loops, Sequences into Loops, List into Loop, Item into Loop, Appending Sequences.

Range and List, Dictionaries into Tuples, Enumerator Functions, List, Item and Iterators, List Comprehension.

Mapping in Python; Zip and Map Operator; Printing Dictionaries Items; dir Attributes; dir Attributes 2;

Arguments; Sequences and Arguments; Intersection of Sequences; Defining Functions; Multiple Functions;

Changer Function; Argument Functions; Multiple Arguments and Functions; Knownly Type of a Function; Printing Tuples Using Functions; def Statement;

Min and MAX of Argument; Assignment; String Code; Finding Sum of List; Sum Tree;

Echo Function; Schedule Function; Printing a Function Value; Lambda Function; Multiple Lambda Function; Lambda Function with Multiple Functions;

Lambda Function: Code Example; Lambda Function: Code Example; Range and Tuples; Matrices in Python; Generating a Function in Python; Generating a Function: Code Example; Set of Codes;

def of Sum and Square; Reducing Code in Python; Function Reducing Tool; for and if in Range; res.append in Python;

def Saver; Python Module; isinstance for String and Object; def fetcher in Python; Exception in Python; ASII in Python; encoding and decoding in Python; encoding and decoding Lecture 2; encoding and decoding Lecture 3; encoding and decoding Lecture 4;

getName Coding; GetAtrr in Python; GetAtrribute in Python; Decorator in Python; Nested Decorator; Annotation and Decorator; functools for Decorator; inspectfunc tool in Python;

Class Method in Python; Turtle, Time and Random; Pandas Library Code; Compilation in Python; Data Visualization in Matplotlib; Scattering: Data Visualization; Enumerator Function;

Plotly in MATPLOTLIB; Plot: Data Visualization; Logging and Exception; Printing Vowels; Map and Operator; HTTP Server: Practical Python; Socket Library for HTTP Server;

Tree Coding; Tree Coding Lecture 2; Name and Size of a File; Countdown Time: Practical Python; Make a Calculator: Practical Python;

Leap Year in Python; PyAudio Lecture 1; PyAudio Lecture 2; Creating a Shelve in Python; Pandas Library: DataFrame;

Who are the Instructors?

Dr. Alla Dittah is your lead instructor – a professional making a living from teaching programming to people like you. He has joined with content creator Peter Alkema to bring you this amazing new course.

You’ll get premium support and feedback to help you become a better Python Programmer!

We can’t wait to see you on the course!

Enroll now, and learn Python!

Peter and Allah

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Download All Your Coding Files

Lecture 3: Introduce Yourself To Your Fellow Students And Tell Everyone What Are Your Goals

Lecture 4: Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!!

Chapter 2: Introduction to Python

Lecture 1: Hello World Coding in Python

Lecture 2: Printing Variables in Python

Lecture 3: Strings, Floating Points, and Digits in Python

Lecture 4: Printing Variables in Python

Lecture 5: Inserting, Removing, and Pop Up of Variables in Python

Chapter 3: Date and Time in Python

Lecture 1: Printing Date and Time in Python

Lecture 2: Import and From Date Time in Python

Lecture 3: Printing Current Date Time in Python

Lecture 4: Printing Current Year in Python

Lecture 5: Hours, Minutes, and Seconds in Python

Lecture 6: Microseconds in Python

Lecture 7: Time stamp in Python

Lecture 8: Time Difference in Python

Lecture 9: Time Delta in Python

Lecture 10: Time Delta in Python 2

Lecture 11: Trigonometry in Python

Lecture 12: Now Date and Time in Python

Chapter 4: Sets, Trigonometry, Logarithmic in Python

Lecture 1: Intersection and Union of Sets in Python

Lecture 2: Difference of Sets in Python

Lecture 3: True and False in Sets Using Python

Lecture 4: Adding and Removing Elements in Sets

Lecture 5: Code for Intersection and Union in Python

Lecture 6: Element in Sets

Lecture 7: Math and CMath

Lecture 8: Logarithmic and Mod Operators

Lecture 9: Bitwise Operators in Python

Lecture 10: Binary into Decimals in Python

Lecture 11: Binary into Integers

Lecture 12: Multiple Variables in Python

Lecture 13: True and False Statement in Python

Chapter 5: Arrays in Python

Lecture 1: Arrays in Python

Lecture 2: Inserting Elements in Array

Lecture 3: Pop Up Arrays

Lecture 4: Index and Reverse Arrays

Lecture 5: Finding Error in Codes: Assignment

Lecture 6: You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >>

Chapter 6: Round off, Trigonometry, and Complex Numbers in Python

Lecture 1: Round off and Truncation

Lecture 2: Degrees into Radians and Radians into Degrees Using Python

Lecture 3: Positive and Negative Infinity in Python

Lecture 4: Not a Number Coding in Python

Lecture 5: Complex Numbers Coding in Python

Chapter 7: Strings in Python

Lecture 1: Printing Strings in Python

Lecture 2: Counting in Strings

Lecture 3: Open a File in Python

Lecture 4: Printing Multiple Strings in Python

Lecture 5: Strings True and False in Python

Lecture 6: Slicing and Indexing in Strings

Chapter 8: Strings, ord, chr, and Binary Numbers in Python

Lecture 1: Strings and Integers

Lecture 2: ord and chr Tools in Python

Lecture 3: Int and Binary Numbers in Python

Chapter 9: Lists and Dictionaries in Python

Lecture 1: Lists in Python

Lecture 2: Adding Strings in Lists

Lecture 3: Pop Up and Removing Strings in Lists

Lecture 4: Assignment Code

Lecture 5: Dictionaries in Python

Lecture 6: Lists and Dictionaries

Chapter 10: Tuples in Python

Lecture 1: Tuples in Python

Lecture 2: Lists into Tuples

Lecture 3: Why Lists and Tuples in Python

Lecture 4: Data File in Python

Chapter 11: Tuples and Sequences

Lecture 1: Assigning Tuples

Lecture 2: Strings

Lecture 3: Tuples into Lists

Lecture 4: Sequences in Python

Lecture 5: Multiple Sequences

Chapter 12: Loops, Sequences and List in Python

Lecture 1: Tuples into Loops

Lecture 2: Strings and Tuples

Lecture 3: Sequences into Loops

Lecture 4: List into Loop

Lecture 5: Item into Loop

Lecture 6: Appending Sequences

Chapter 13: Dictionaries and Comprehension in Python

Lecture 1: Range and List

Lecture 2: Dictionaries into Tuples

Lecture 3: Enumerator Functions

Lecture 4: List, Item and Iterators

Lecture 5: List Comprehension

Lecture 6: You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >>

Chapter 14: Mapping, Zip and Attributes in Python

Lecture 1: Mapping in Python

Lecture 2: Zip and Map Operator

Lecture 3: Printing Dictionaries Items

Lecture 4: dir Attributes

Lecture 5: dir Attributes 2

Instructors

Peter Alkema
Business | Technology | Self Development

Rating Distribution

1 stars: 2 votes
2 stars: 2 votes
3 stars: 3 votes
4 stars: 13 votes
5 stars: 17 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