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Syed Mohiuddin

Welcome to this course of Python Programming for Beginners, and become a Python Professional which is one of the most favored skills, that employer's need

Whether you are new to programming or have never programmed before in Python, this course is for you. This course covers the Python Programming from scratch. This course is self-paced. There is no need to rush - you learn on your own schedule. 

Pуthоn iѕ one of the best open source programming language and more powerful than other programming languages. It iѕ well documented and runs everywhere. It has a clean syntax and quite еаѕу tо lеаrn.

Read more

Welcome to this course of Python Programming for Beginners, and become a Python Professional which is one of the most favored skills, that employer's need

Whether you are new to programming or have never programmed before in Python, this course is for you. This course covers the Python Programming from scratch. This course is self-paced. There is no need to rush - you learn on your own schedule. 

Pуthоn iѕ one of the best open source programming language and more powerful than other programming languages. It iѕ well documented and runs everywhere. It has a clean syntax and quite еаѕу tо lеаrn.

This course will help anyone who want to start a саrееr in Data Science and Machine Lеаrning. You need to have basic undеrѕtаnding оf Pуthоn to become a Data Scientist or Data Analyst.

This course begins with the introduction to Python that will help you write python code in no time. Then we help you with the installation of Python on your computer and setting up programming tools and programming environment. This course will provide you with everything you need to know about Python Programming.

We will be covering the following topics:

  • Writing your first Python Program

  • Data Types in Python

  • Variables and Expressions

  • Keywords and Identifiers, Comments

  • Numbers in Python

  • Strings and its operations (Formatting, Indexing, Slicing and String Methods)

  • Type Conversion Functions & eval() function

  • Operators in Python (Arithmetic, Relational, Comparison, Chaining of Relational Operators, Logical, Bitwise, Assignment, Identity, Membership and Operator Precedence)

  • Input and Output Statements (Separator, End Attributes, Replacement Operator, Formatted Strings)

  • Program Control Flow (If, if-else, Nested if-else, While loop, Range Function, For loop, break and continue statements)

  • List Data Structure (Indexing, Methods, Slicing, Split, Sorting, Reversing, and List Functions, Membership and Identity Operators)

  • Tuples Data Structure (Indexing, Slicing, Functions, Membership and Identity Operators)

  • Nesting of Lists and Tuples

  • Dictionary and Sets in Python

  • Functions (Creating Functions, Variable parameters, Keyword Arguments, Default Arguments)

  • Recursion in Python

  • Local and Global Variables

  • Lambda Functions

  • Modules in Python

  • Working with Files ( Reading and Writing Files)

  • Exception Handling

  • Object Oriented Programming in Python (Classes, Inheritance, Polymorphism)

This course teaches Python in a practical manner with hands-on experience with coding screen-cast. 

Once you complete this course, you will be able to create or develop Python Programs to solve any complex problems with ease.

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What's inside

Learning objectives

  • Learn basics of python programming
  • Explore and understand pythons data structures ie lists, tuples, sets and dictionaries
  • Learn fundamentals of python programming
  • Learn the purpose of functions in python and how to operate on files to read and write data in python
  • Learn the object oriented programming in python
  • Learn how to use pycham to write python scripts
  • Learn how to professionally write python programs

Syllabus

Course Overview
Course Introduction
Python Setup
Installing Python on Windows
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Taught by Syed Mohiuddin, who is recognized for their work in Python Programming and Data Science
Develops fundamentals of Python Programming, which is a core skill for Data Science and Machine Learning
Explores Data Structures like Lists, Tuples, Sets, and Dictionaries, which are heavily used in Python Programming
Teaches Object Oriented Programming in Python, which is essential for developing real-world Python applications
Uses PyCharm for Python scripting, which is a leading Python development environment
Requires basic understanding of Python before starting this course

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Reviews summary

Beginner python with practical demos

According to students, this course serves as an excellent starting point for those new to programming, particularly in Python. Learners appreciate the clear and concise explanations of fundamental concepts, making complex topics accessible. The emphasis on hands-on tutorials and practical coding is a significant strength, allowing students to immediately apply what they learn. While it provides a solid foundation for aspiring data scientists or machine learning professionals, some learners found that advanced topics like Object-Oriented Programming (OOP) might be covered less comprehensively, potentially requiring supplemental resources. It's largely seen as well-paced for absolute beginners, though it may be too basic for those with prior experience.
Covers a wide range of essential Python fundamentals.
"This course covers all the essential Python fundamentals I needed to get started, from variables to file handling."
"I feel I have a solid understanding of Python's core data structures and control flow after completing this course."
"It's a great course for building a strong foundation in Python before moving on to more advanced areas."
Strong emphasis on coding exercises and practical demonstrations.
"The hands-on coding exercises are the strongest part of the course; I learned by doing and applying."
"I found the practical demonstrations incredibly helpful for understanding how Python concepts actually work."
"Coding along with the instructor in each lesson really solidified my understanding of Python syntax and logic."
Concepts are presented simply, ideal for absolute beginners.
"The instructor explains everything in a very easy-to-understand way, perfect for someone who has never coded before."
"I really appreciated how clear and concise the explanations were for basic concepts like data types and operators."
"This course made getting started with Python less intimidating than I thought, thanks to its straightforward lessons."
Later topics like OOP could benefit from more detailed coverage.
"The Object-Oriented Programming section felt a bit rushed; I needed to consult other resources for a deeper dive into it."
"While the basics were excellent, I wished for more examples or a more thorough explanation of inheritance and polymorphism."
"I completed the course but still feel a bit shaky on some of the more advanced concepts like exception handling."
Perfectly paced for new learners, potentially slow for experienced.
"The pace was just right for me as a complete beginner, allowing ample time to absorb the material without feeling rushed."
"For someone with absolutely no coding background, the step-by-step approach and gradual progression were ideal."
"As someone with some prior programming knowledge, I found the course quite slow and repetitive in parts."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Programming for Beginners with Hands on Tutorial with these activities:
Practice Python Programming in a sandbox
Practicing Python code in a sandbox will allow you to execute Python statements and programs without having to install or setup Python.
Browse courses on Python Programming
Show steps
  • Choose a Python sandbox environment
  • Write Python code in the sandbox
  • Run the Python code in the sandbox
  • Debug and refine the Python code
Show all one activities

Career center

Learners who complete Python Programming for Beginners with Hands on Tutorial will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use programming languages like Python to analyze data and develop algorithms to solve business problems. This course in Python Programming for Beginners can help you develop the skills needed to become a Data Scientist. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Machine Learning, which is often used in conjunction with Data Science.
Software Engineer
Software Engineers use programming languages like Python to design, develop, and maintain software. This course in Python Programming for Beginners can help you develop the skills needed to become a Software Engineer. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Web Development, which is often used in conjunction with Software Engineering.
Data Analyst
Data Analysts use programming languages like Python to analyze data and develop reports to help businesses make informed decisions. This course in Python Programming for Beginners can help you develop the skills needed to become a Data Analyst. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Business Intelligence, which is often used in conjunction with Data Analysis.
Quantitative Analyst
Quantitative Analysts use programming languages like Python to develop and implement mathematical models to help businesses make informed decisions. This course in Python Programming for Beginners can help you develop the skills needed to become a Quantitative Analyst. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Risk Management, which is often used in conjunction with Quantitative Analysis.
Machine Learning Engineer
Machine Learning Engineers use programming languages like Python to develop and implement machine learning models. These models can be used to solve a variety of problems, such as image recognition, natural language processing, and predictive analytics. This course in Python Programming for Beginners can help you develop the skills needed to become a Machine Learning Engineer. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Artificial Intelligence, which is often used in conjunction with Machine Learning.
Business Analyst
Business Analysts use programming languages like Python to analyze data and develop reports to help businesses make informed decisions. This course in Python Programming for Beginners can help you develop the skills needed to become a Business Analyst. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Management Consulting, which is often used in conjunction with Business Analysis.
Systems Analyst
Systems Analysts use programming languages like Python to analyze and design computer systems. This course in Python Programming for Beginners can help you develop the skills needed to become a Systems Analyst. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in IT Consulting, which is often used in conjunction with Systems Analysis.
Web Developer
Web Developers use programming languages like Python to design and develop websites. This course in Python Programming for Beginners can help you develop the skills needed to become a Web Developer. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in UI/UX Design, which is often used in conjunction with Web Development.
Database Administrator
Database Administrators use programming languages like Python to manage and maintain databases. This course in Python Programming for Beginners can help you develop the skills needed to become a Database Administrator. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Data Management, which is often used in conjunction with Database Administration.
Network Administrator
Network Administrators use programming languages like Python to manage and maintain computer networks. This course in Python Programming for Beginners can help you develop the skills needed to become a Network Administrator. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in IT Support, which is often used in conjunction with Network Administration.
Security Analyst
Security Analysts use programming languages like Python to analyze and detect security threats. This course in Python Programming for Beginners can help you develop the skills needed to become a Security Analyst. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Information Security, which is often used in conjunction with Security Analysis.
IT Auditor
IT Auditors use programming languages like Python to audit and evaluate computer systems. This course in Python Programming for Beginners can help you develop the skills needed to become an IT Auditor. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in IT Risk Management, which is often used in conjunction with IT Auditing.
Project Manager
Project Managers use programming languages like Python to manage and track projects. This course in Python Programming for Beginners can help you develop the skills needed to become a Project Manager. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Business Management, which is often used in conjunction with Project Management.
Technical Writer
Technical Writers use programming languages like Python to write documentation for software and hardware products. This course in Python Programming for Beginners can help you develop the skills needed to become a Technical Writer. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Content Writing, which is often used in conjunction with Technical Writing.
Freelance Developer
Freelance Developers use programming languages like Python to develop software for clients. This course in Python Programming for Beginners can help you develop the skills needed to become a Freelance Developer. You will learn about data types, variables, operators, control flow, and functions. You will also learn how to use Python to read and write data from files. This course may also help you prepare for a career in Web Development, which is often used in conjunction with Freelance Development.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python Programming for Beginners with Hands on Tutorial.
Comprehensive reference guide to Python programming. It covers all aspects of the language, from the basics to advanced topics. It good choice for experienced Python programmers who need a quick reference to the language.
Provides a comprehensive introduction to Python programming, covering the fundamentals as well as advanced concepts. It is written in a clear and concise style, and includes numerous examples and exercises to help readers learn the material.
Collection of recipes that teach readers how to solve common Python programming problems. It good choice for experienced Python programmers who want to learn new techniques and improve their skills.
Teaches readers how to write better Python code. It covers a wide range of topics, from the basics to advanced techniques. It good choice for experienced Python programmers who want to improve their coding skills.
Fun and engaging introduction to Python programming. It uses a visual approach to teaching, with lots of diagrams and examples to help readers understand the concepts. It good choice for beginners who want to learn Python quickly and easily.
Fast-paced introduction to Python programming. It is project-based, so readers will learn by building real-world projects. It good choice for beginners who want to get started with Python quickly and build something useful.
Teaches readers how to use Python to automate tasks and make their lives easier. It is written in a clear and concise style, and includes numerous examples and exercises to help readers learn the material.

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