Python A – Z: Complete Guide for Beginners to Advanced Devs

Python A – Z: Complete Guide for Beginners to Advanced Devs, available at $19.99, has an average rating of 5, with 50 lectures, based on 1 reviews, and has 10 subscribers.

You will learn about Master Python Basics: Understand Python syntax, variables, basic operators, and data types to build a strong foundation in programming. Control Flow Proficiency: Gain expertise in using conditional statements and loops for controlling the flow of Python programs. Data Structures Knowledge: Learn to effectively use lists, dictionaries, sets, and tuples for efficient data manipulation and storage. Function Implementation Skills: Develop the ability to create reusable functions, understanding scope, arguments, and return values. Error Handling Techniques: Master exception handling with try-except blocks, enhancing program reliability and error management. File I/O Operations: Acquire skills in file handling – reading, writing, and managing files, essential for real-world applications. OOP Concepts Application: Understand Object-Oriented Programming principles to create modular and scalable Python applications. Python Libraries Utilization: Learn to use popular libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization. Web Scraping Abilities: Gain the skills to extract data from web pages using BeautifulSoup and requests, crucial for data gathering. Database Management Proficiency: Learn to connect Python with databases like SQLite for performing data storage and retrieval operations. This course is ideal for individuals who are Absolute Beginners in Programming: Individuals with no prior experience in programming who are looking for a comprehensive and understandable introduction to coding. or Hobbyists and Tech Enthusiasts: Those who have an interest in technology and programming and want to explore Python for personal projects or self-improvement. or Career Changers: Professionals from non-tech backgrounds aiming to transition into tech roles, particularly in fields requiring programming skills. or Students and Academics: University or college students, as well as academic researchers, who need Python for their studies or research work in fields like data analysis, machine learning, or scientific computing. or Software Developers: Programmers familiar with other languages looking to expand their skill set with Python, one of the most versatile and in-demand programming languages. or Data Analysts and Scientists: Professionals in data-driven fields aiming to leverage Python for data analysis, visualization, and implementing machine learning algorithms. or Automation Engineers: Those looking to automate repetitive tasks in their work or personal projects, as Python excels in scripting and automation. or Web Developers: Developers interested in web development who want to use Python for backend development (e.g., using frameworks like Django or Flask). or IT Professionals: System administrators, network engineers, and other IT professionals who can use Python for scripting and automating routine tasks. or Entrepreneurs and Business Professionals: Business owners or managers looking to understand the technical aspects of their ventures or to communicate more effectively with their tech teams. It is particularly useful for Absolute Beginners in Programming: Individuals with no prior experience in programming who are looking for a comprehensive and understandable introduction to coding. or Hobbyists and Tech Enthusiasts: Those who have an interest in technology and programming and want to explore Python for personal projects or self-improvement. or Career Changers: Professionals from non-tech backgrounds aiming to transition into tech roles, particularly in fields requiring programming skills. or Students and Academics: University or college students, as well as academic researchers, who need Python for their studies or research work in fields like data analysis, machine learning, or scientific computing. or Software Developers: Programmers familiar with other languages looking to expand their skill set with Python, one of the most versatile and in-demand programming languages. or Data Analysts and Scientists: Professionals in data-driven fields aiming to leverage Python for data analysis, visualization, and implementing machine learning algorithms. or Automation Engineers: Those looking to automate repetitive tasks in their work or personal projects, as Python excels in scripting and automation. or Web Developers: Developers interested in web development who want to use Python for backend development (e.g., using frameworks like Django or Flask). or IT Professionals: System administrators, network engineers, and other IT professionals who can use Python for scripting and automating routine tasks. or Entrepreneurs and Business Professionals: Business owners or managers looking to understand the technical aspects of their ventures or to communicate more effectively with their tech teams.

Enroll now: Python A – Z: Complete Guide for Beginners to Advanced Devs

Summary

Title: Python A – Z: Complete Guide for Beginners to Advanced Devs

Price: $19.99

Average Rating: 5

Number of Lectures: 50

Number of Published Lectures: 50

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

Master Python Basics: Understand Python syntax, variables, basic operators, and data types to build a strong foundation in programming.
Control Flow Proficiency: Gain expertise in using conditional statements and loops for controlling the flow of Python programs.
Data Structures Knowledge: Learn to effectively use lists, dictionaries, sets, and tuples for efficient data manipulation and storage.
Function Implementation Skills: Develop the ability to create reusable functions, understanding scope, arguments, and return values.
Error Handling Techniques: Master exception handling with try-except blocks, enhancing program reliability and error management.
File I/O Operations: Acquire skills in file handling – reading, writing, and managing files, essential for real-world applications.
OOP Concepts Application: Understand Object-Oriented Programming principles to create modular and scalable Python applications.
Python Libraries Utilization: Learn to use popular libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization.
Web Scraping Abilities: Gain the skills to extract data from web pages using BeautifulSoup and requests, crucial for data gathering.
Database Management Proficiency: Learn to connect Python with databases like SQLite for performing data storage and retrieval operations.

Who Should Attend

Absolute Beginners in Programming: Individuals with no prior experience in programming who are looking for a comprehensive and understandable introduction to coding.
Hobbyists and Tech Enthusiasts: Those who have an interest in technology and programming and want to explore Python for personal projects or self-improvement.
Career Changers: Professionals from non-tech backgrounds aiming to transition into tech roles, particularly in fields requiring programming skills.
Students and Academics: University or college students, as well as academic researchers, who need Python for their studies or research work in fields like data analysis, machine learning, or scientific computing.
Software Developers: Programmers familiar with other languages looking to expand their skill set with Python, one of the most versatile and in-demand programming languages.
Data Analysts and Scientists: Professionals in data-driven fields aiming to leverage Python for data analysis, visualization, and implementing machine learning algorithms.
Automation Engineers: Those looking to automate repetitive tasks in their work or personal projects, as Python excels in scripting and automation.
Web Developers: Developers interested in web development who want to use Python for backend development (e.g., using frameworks like Django or Flask).
IT Professionals: System administrators, network engineers, and other IT professionals who can use Python for scripting and automating routine tasks.
Entrepreneurs and Business Professionals: Business owners or managers looking to understand the technical aspects of their ventures or to communicate more effectively with their tech teams.

Target Audiences

Absolute Beginners in Programming: Individuals with no prior experience in programming who are looking for a comprehensive and understandable introduction to coding.
Hobbyists and Tech Enthusiasts: Those who have an interest in technology and programming and want to explore Python for personal projects or self-improvement.
Career Changers: Professionals from non-tech backgrounds aiming to transition into tech roles, particularly in fields requiring programming skills.
Students and Academics: University or college students, as well as academic researchers, who need Python for their studies or research work in fields like data analysis, machine learning, or scientific computing.
Software Developers: Programmers familiar with other languages looking to expand their skill set with Python, one of the most versatile and in-demand programming languages.
Data Analysts and Scientists: Professionals in data-driven fields aiming to leverage Python for data analysis, visualization, and implementing machine learning algorithms.
Automation Engineers: Those looking to automate repetitive tasks in their work or personal projects, as Python excels in scripting and automation.
Web Developers: Developers interested in web development who want to use Python for backend development (e.g., using frameworks like Django or Flask).
IT Professionals: System administrators, network engineers, and other IT professionals who can use Python for scripting and automating routine tasks.
Entrepreneurs and Business Professionals: Business owners or managers looking to understand the technical aspects of their ventures or to communicate more effectively with their tech teams.

“Embark on a transformative journey with ‘Python A-Z: Complete Guide for Beginners to Advanced Developers’, a course meticulously crafted to take learners from the very basics of Python programming to the heights of advanced development. Ideal for absolute beginners and seasoned coders alike, this course offers a tailored learning experience that comprehensively covers Python.

Starting with Python’s fundamental syntax, data types, and control structures, the course builds a strong foundation in programming. As you progress, you’ll delve into more complex concepts such as Object-Oriented Programming, data manipulation using powerful libraries, and web scraping techniques. The course provides hands-on experience with real-world applications, enhancing your skills in file operations, database management, and data analysis.

Our interactive learning approach, complete with practical examples and exercises, ensures that you not only understand Python theoretically but can also confidently apply it in various coding environments. By the end of this course, you’ll be equipped to handle Python projects in diverse domains, including web development, data science, and automation, making you a versatile and sought-after developer.

Furthermore, the course explores advanced topics such as concurrency, parallelism, and interactive data visualization, ensuring you’re up-to-date with the latest industry trends and techniques. You’ll also learn best practices in coding and development, preparing you for professional Python development environments. Enroll now to start your journey towards becoming an adept Python developer.”

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Setting up the Python environment

Chapter 2: Basic Programming Concepts

Lecture 1: Comment in Python Programming

Lecture 2: Data Types in Python

Lecture 3: Variables in Python

Lecture 4: Basic Operators 1

Lecture 5: Basic Operators 2

Lecture 6: String Operations

Lecture 7: String Formatting

Chapter 3: Control Structure

Lecture 1: Conditional Statement

Lecture 2: Python Loop

Chapter 4: Data Structure

Lecture 1: List and list comprehensions in python

Lecture 2: Tuple in Python

Lecture 3: Dictionary in Python

Lecture 4: Sets in Python

Chapter 5: Functions

Lecture 1: Defining and calling functions

Lecture 2: Scope and Lifetime of variables

Chapter 6: Input & Output in Python

Lecture 1: Input function in python

Lecture 2: Reading from and writing to Text File

Lecture 3: Reading from and writing to CSV File

Chapter 7: Error and Exception Handling

Lecture 1: Error Type in Python

Lecture 2: Try, Except, Finally

Chapter 8: Modules and Packages

Lecture 1: Importing Module in Python

Lecture 2: Creating a Custom Module

Lecture 3: Python Package

Chapter 9: Advanced Data Structure

Lecture 1: Collections module

Lecture 2: Iterators and generators

Chapter 10: Functional Programming

Lecture 1: Lambdas

Lecture 2: Higher-order function – map

Lecture 3: Higher-order function – filter

Lecture 4: Higher-order function – reduce

Chapter 11: Object-Oriented Programming (OOP)

Lecture 1: Classes and objects

Lecture 2: Inheritance

Lecture 3: Polymorphism

Lecture 4: Encapsulation

Chapter 12: Projects

Lecture 1: Password Generator Project

Lecture 2: Create Two-Factor Authentication System

Lecture 3: Create Two-Factor Authentication System – With Email Functionality

Lecture 4: Guess the Number Game Project

Lecture 5: Create a Chatbot Project

Chapter 13: Introduction to Web Scraping

Lecture 1: Basic HTML Parsing with Python

Lecture 2: Web scraping program with BeautifulSoup

Chapter 14: Python GUI Calculator Project – Tkinter

Lecture 1: GUI Calculator – 1

Lecture 2: Create Two-Factor Authentication System

Lecture 3: GUI Calculator – 2

Lecture 4: GUI Calculator – 3

Chapter 15: Data Analysis and Data Visualization

Lecture 1: Read the Data & Initialize Data Exploration

Lecture 2: Data Analysis

Lecture 3: Data Visualization

Lecture 4: Exporting Analyzed Data

Instructors

Abdullahi Umar Abubakar
Freelancer

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5 stars: 1 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!

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