Python : Comprehensive Bootcamp (Beginner To Professional)
Python : Comprehensive Bootcamp (Beginner To Professional), available at $59.99, has an average rating of 4.58, with 338 lectures, based on 1051 reviews, and has 47946 subscribers.
You will learn about Learn Python from the ground up. Learn how to setup a python development environment. Learn how to create desktop applications Learn how to create console applications Learn how to create web applications Learn about Python Data Types and casting Python String Methods and Formatting Python Data Structures Python Functions Python Decorators Python Control Flow Statements Python Modules and Packages Working with external files in Python Working with dates and times Handling exception errors Version control system with Git and Github Web scrapping with Python Python and Machine Learning Python and data science Web development with Django Python Object Oriented Programming Building API from scratch This course is ideal for individuals who are Beginners to Python It is particularly useful for Beginners to Python.
Enroll now: Python : Comprehensive Bootcamp (Beginner To Professional)
Summary
Title: Python : Comprehensive Bootcamp (Beginner To Professional)
Price: $59.99
Average Rating: 4.58
Number of Lectures: 338
Number of Published Lectures: 338
Number of Curriculum Items: 338
Number of Published Curriculum Objects: 338
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn Python from the ground up.
- Learn how to setup a python development environment.
- Learn how to create desktop applications
- Learn how to create console applications
- Learn how to create web applications
- Learn about Python Data Types and casting
- Python String Methods and Formatting
- Python Data Structures
- Python Functions
- Python Decorators
- Python Control Flow Statements
- Python Modules and Packages
- Working with external files in Python
- Working with dates and times
- Handling exception errors
- Version control system with Git and Github
- Web scrapping with Python
- Python and Machine Learning
- Python and data science
- Web development with Django
- Python Object Oriented Programming
- Building API from scratch
Who Should Attend
- Beginners to Python
Target Audiences
- Beginners to Python
Python is a dynamic modern object -oriented programming language and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it’s flexibility. Python is an interpreted language that does not need to be complied like for example java programming language. It is interpreted and run on the fly the same time.
Python has been used in a lot of places like in creating games, for statistical data and visualization,speech and face recognition.
Some of the biggest websites on this planet earth use python in one way or another. Examples include:
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Google
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Youtube
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Facebook
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Nasa
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Disney
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Pixar
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Reddit
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Pinterest
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Instagram
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Spotify
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Survey Monkey
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Yahoo Maps
Topics covered include:
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Interacting with Python in various ways
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Python Operators
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Python Data Types
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Data type casting
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Python String Methods and Formatting
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Python Data Structures
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Python Functions
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Python DocStrings
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Python Decorators
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Python Control Flow Statements
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Python Modules and Packages
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Working with external files in Python
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Working with dates and times
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Working with calendars
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Handling exception errors
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Version control system with Git and Github
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Web scrapping with Python
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Python and Machine Learning
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Web development with Django
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Creating a database driven application
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Python Object Oriented Programming
Projects we will create:
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Create a web based todo app and deploy to cloud
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Database CRUD app with SQL Server and Python
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MP3 Player
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Lottery Number Simulator
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Loan calulator
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Create a basic calculator
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Create a digital clock
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Create a number guessing game
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Create a random number generator
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Create a countdown timer
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Create a lottery number simulator
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: High and low level programming languages
Lecture 3: Compilers and Interpreters
Lecture 4: What is Python
Chapter 2: Introduction to Command Line Interface
Lecture 1: What is command line
Lecture 2: How to access comandline interface
Lecture 3: What you can do with commandline
Lecture 4: Useful Commands
Chapter 3: Python Installation and Setup
Lecture 1: Installing Python on Windows
Lecture 2: Installing Python3 on Macs
Lecture 3: Installing Pycharm on Windows
Lecture 4: Changing Pycharm Theme
Lecture 5: Pycharm windows configuration: Part 1
Lecture 6: Pycharm windows configuration: Part 2
Lecture 7: Installing Pycharm on Macs
Lecture 8: Pycharm mac configuration
Lecture 9: Installing Atom Text Editor
Chapter 4: Interacting with Python
Lecture 1: Interacting using Python Shell
Lecture 2: Interacting using Python File
Lecture 3: Python Expressions
Lecture 4: Python Code Comments
Lecture 5: Python Code Indentation
Lecture 6: Python Variables
Lecture 7: Creating Variables
Lecture 8: Getting Input from Users
Chapter 5: Python Operators
Lecture 1: Introduction to Python Operators
Lecture 2: Python Arithmetic Operators
Lecture 3: Python Assignment Operators
Lecture 4: Python Comparison Operators
Lecture 5: Python Logical Operators
Lecture 6: Python Identity Operators
Lecture 7: Python Membership Operators
Lecture 8: Binary Numbers
Lecture 9: Python Bitwise Operators: Part 1
Lecture 10: Python Bitwise Operators: Part 2
Lecture 11: Python Operator Precedence
Chapter 6: Python Data Types
Lecture 1: Python Number Data Type
Lecture 2: Python String Data Type
Lecture 3: Python Boolean Data Type
Lecture 4: Casting Data Types
Chapter 7: Python String Methods and Formatting
Lecture 1: Python String Methods : Part 1
Lecture 2: Python String Methods : Part 2
Lecture 3: Python String Formatting : Part 1
Lecture 4: Python String Formatting : Part 2
Chapter 8: Python Data Structures
Lecture 1: What are data structures
Lecture 2: Python List
Lecture 3: Creating a Python List
Lecture 4: Accessing elements in a list
Lecture 5: Python List Methods: Part 1
Lecture 6: Python List Methods: Part 2
Lecture 7: Python Tuple : Part 1
Lecture 8: Python Tuple : Part 2
Lecture 9: Python SET
Lecture 10: Python SET Methods
Lecture 11: Python Dictionary
Lecture 12: Python Dictionary Methods
Lecture 13: Creating a directory for Python Files
Chapter 9: Python Control Flow Statements
Lecture 1: Introduction to control flow
Lecture 2: if statements
Lecture 3: Else statements
Lecture 4: ELif statements
Lecture 5: While Loops
Lecture 6: For Loops
Lecture 7: Nested For Loops
Lecture 8: Break Statement
Lecture 9: Continue Statement
Lecture 10: For Loop and break statement
Lecture 11: For Loop and continue statement
Lecture 12: For Loop and else statement
Lecture 13: For Loop and Range Statement
Chapter 10: Python Functions
Lecture 1: What are Python Functions
Lecture 2: Python Return Keyword Value
Lecture 3: Default Parameter Value
Lecture 4: Keyword Arguments
Lecture 5: Functions returning other functions
Lecture 6: Assigning Functions To Variables
Lecture 7: Global and Local Variable Scopes
Lecture 8: Nesting Functions
Lecture 9: Nesting Functions Accessing Variable Scope
Lecture 10: Function Pass Keyword
Lecture 11: Passing functions as arguments
Lecture 12: VarArgs Parameter
Lecture 13: Anonymous Functions
Lecture 14: Python DocStrings
Lecture 15: Python Decorators
Lecture 16: Python Function Vs Python Method
Chapter 11: Object Oriented Programming (OOP)
Lecture 1: What is OOP
Lecture 2: Creating a class
Lecture 3: instantiating a class
Instructors
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Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
- 1 stars: 9 votes
- 2 stars: 14 votes
- 3 stars: 143 votes
- 4 stars: 374 votes
- 5 stars: 511 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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