The Complete Python Course for Beginners (2024)
The Complete Python Course for Beginners (2024), available at $54.99, has an average rating of 4.1, with 84 lectures, based on 17 reviews, and has 187 subscribers.
You will learn about Be able to program in Python professionally (2024) Get hands-on experience and solve 200+ coding exercises. Become proficient in Python Get all the skills to demonstrate expertise in Python programming Gain an in-depth understanding of basic & advanced Python Set firm foundation in Python for the rest of your career This course is ideal for individuals who are Beginners Programmers – Those who want to Master Python Programming Skills or Python Programmers – Those who want to enhance their Python Programming Skills. or Students and Engineers – Those who are enrolling in Python as an academic course. or Professional Programmers – Those who want to switch to Python Programming. It is particularly useful for Beginners Programmers – Those who want to Master Python Programming Skills or Python Programmers – Those who want to enhance their Python Programming Skills. or Students and Engineers – Those who are enrolling in Python as an academic course. or Professional Programmers – Those who want to switch to Python Programming.
Enroll now: The Complete Python Course for Beginners (2024)
Summary
Title: The Complete Python Course for Beginners (2024)
Price: $54.99
Average Rating: 4.1
Number of Lectures: 84
Number of Published Lectures: 84
Number of Curriculum Items: 84
Number of Published Curriculum Objects: 84
Original Price: $29.99
Quality Status: approved
Status: Live
What You Will Learn
- Be able to program in Python professionally (2024)
- Get hands-on experience and solve 200+ coding exercises.
- Become proficient in Python
- Get all the skills to demonstrate expertise in Python programming
- Gain an in-depth understanding of basic & advanced Python
- Set firm foundation in Python for the rest of your career
Who Should Attend
- Beginners Programmers – Those who want to Master Python Programming Skills
- Python Programmers – Those who want to enhance their Python Programming Skills.
- Students and Engineers – Those who are enrolling in Python as an academic course.
- Professional Programmers – Those who want to switch to Python Programming.
Target Audiences
- Beginners Programmers – Those who want to Master Python Programming Skills
- Python Programmers – Those who want to enhance their Python Programming Skills.
- Students and Engineers – Those who are enrolling in Python as an academic course.
- Professional Programmers – Those who want to switch to Python Programming.
Welcome to the Python Complete Course by Studyopedia !!!
In this Video Course, learn Python and its concepts. We have covered Python Basics and Advanced concepts in this course. It consists of 26 sections, 84 lessons, and 200+ live running source codes (downloadable), including Functions, Classes and objects, Dictionary, Lists, Sets, Tuples, etc, We have also covered Modules, including Maths, Statistics, Random, etc.
Note: Python 3.12 is the current Python version and is covered in this tutorial.
Python is a powerful, interpreted, object-oriented programming language. It is used in many areas for development and is considered a perfect language for scripting. A high-level programming language developed by Guido van Rossum and first released in 1991. More than 75% of programmers considered Python a must-have Data Science skill.
***Python Features***
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Open Source
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High-level programming language
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Multiple Programming-paradigms
(object-oriented, functional programming, imperative, etc.) -
Interpreted language
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Dynamically Typed
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Cross-Platform
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Lesser LOC (Line of codes)
***Lesson Covered ***
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Python – Introduction
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Install Python on Windows
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Install Python on MAC
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Python – Variables
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Python – Scope of Variables
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Python – Tokens
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Python – Operators
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Python – Comments
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Python – Type Conversion
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Python – Get User Input
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Python – Decision-Making Statements
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Python – break and continue statements
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Python – Loops
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Python – Numbers
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Python – Strings
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Python – Functions
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Python – Lambda Functions
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Python – Classes and Objects
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Python – Tuples
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Python – Dictionary
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Python – Lists
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Python – Sets
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Python – Modules
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Python – math module
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Python – statistics module
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Python – Random Module
*** Coding Examples Covered ***
200+ Source Codes and demonstrated with live running and also provided for downloading.
***Python Version***
We have covered Python 3.12 and all the examples are being implemented on PyCharm (Community Edition), a free and open-source Python IDE.
Let’s start the journey!
Hit the Enroll button!
Course Curriculum
Chapter 1: Python Introduction
Lecture 1: Python Introduction and Features
Chapter 2: Install Python on Windows 10/11
Lecture 1: Install Python on Windows
Lecture 2: Install PyCharm
Lecture 3: Setup Python Interpreter in PyCharm
Lecture 4: Run first Python Project
Chapter 3: Install Python on MAC
Lecture 1: Install Python and PyCharm on MAC
Chapter 4: Python Variables
Lecture 1: What are Variables in Python?
Lecture 2: Coding Example – Variables
Chapter 5: Python – Scope of Variables
Lecture 1: What are Scope of Variables?
Lecture 2: Local Scope
Lecture 3: Global Scope
Lecture 4: Global Keyword: Change The value of a global variable
Chapter 6: Python – Tokens
Lecture 1: What are Tokens and its types?
Lecture 2: Keywords
Lecture 3: Identifiers
Lecture 4: Literals
Chapter 7: Python – Operators
Lecture 1: What are Operators?
Lecture 2: Arithmetic Operators
Lecture 3: Assignment Operators
Lecture 4: Logical Operators
Lecture 5: Identity Operators
Lecture 6: Membership Operators
Lecture 7: Bitwise Operators
Chapter 8: Python – Comments
Lecture 1: What are comments?
Lecture 2: Single-line and Multi-line comments
Chapter 9: Python – Type Conversion
Lecture 1: What is Type Conversion in Python?
Lecture 2: 3 Coding Examples
Chapter 10: Python – Get User Input
Lecture 1: How to get user input (with example)
Chapter 11: Python – Decision Making Statements
Lecture 1: What are Decision Making Statements in Python?
Lecture 2: if statement
Lecture 3: if…else statement
Lecture 4: if…elif…else
Chapter 12: Python- break and continue statements
Lecture 1: break statement
Lecture 2: continue statement
Chapter 13: Python – Loops
Lecture 1: What are Loops?
Lecture 2: while loop
Lecture 3: for loop
Chapter 14: Python – Numbers
Lecture 1: What are Numeric Datatypes?
Lecture 2: Types – Integer, Long, Float, Complex Datatypes
Chapter 15: Python – Strings
Lecture 1: What are strings?
Lecture 2: Create a String in Python
Lecture 3: String Literals
Lecture 4: Slicing to access substrings
Lecture 5: Negative Indexing to access substrings
Lecture 6: Accessing a Character in Python Strings
Lecture 7: Concatenate Strings
Lecture 8: 30+ Built-in String methods – Coding Examples
Chapter 16: Python – Functions
Lecture 1: What are Functions?
Lecture 2: Create and call a Function
Lecture 3: Create a Function with Parameters
Lecture 4: Function Arguments
Lecture 5: Recursion
Lecture 6: The Return Statement
Chapter 17: Python – Lambda Functions
Lecture 1: What are Lambda Functions?
Lecture 2: 5 Coding Examples
Chapter 18: Python – Classes and Objects
Lecture 1: Classes & Objects – Introduction
Lecture 2: What is a class? How to create?
Lecture 3: What is an object?
Lecture 4: EXAMPLES – Classes and Objects
Lecture 5: _init_() Function
Chapter 19: Python – Tuples
Lecture 1: What are Tuples in Python?
Lecture 2: Difference between Tuples and Lists
Lecture 3: Create a Tuple in Python?
Lecture 4: Tuples – 16 Coding Examples
Chapter 20: Python – Dictionary
Lecture 1: What are Dictionaries in Python?
Lecture 2: How to Create a Dictionary
Lecture 3: 19 Coding Examples – Dictionary
Chapter 21: Python – Lists
Lecture 1: What are Lists in Python?
Lecture 2: Difference between Tuples and Lists
Lecture 3: Create a list in Python
Lecture 4: 22 Coding Examples – Lists
Lecture 5: Join Lists
Lecture 6: Multi-Dimensional Python List
Chapter 22: Python – Sets
Lecture 1: What are Sets in Python
Lecture 2: How to create a Set
Lecture 3: Sets – 15 Coding Example
Chapter 23: Python Modules
Lecture 1: What are Python Modules?
Instructors
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Studyopedia Trainings
Studyopedia Team
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 2 votes
- 3 stars: 1 votes
- 4 stars: 7 votes
- 5 stars: 7 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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