Python for Everyone: A Hands-On Programming Adventure

About Python for Everyone: A Hands-On Programming Adventure

A warm welcome to the

Python for Everyone: A Hands-On Programming Adventure

course by

Uplatz

.

Python

is one of the popular high-level, interpreted and general-purpose programming languages that is easy to use, comprehensive and powerful. In 1991, Guido van Rossum Python is a widely used dynamic programming language compared to other languages such as Java, Perl, PHP, and Ruby. It is often termed as a scripting language. It provides support for automatic memory management, multiple programming paradigms, and implements the basic concepts of object-oriented programming (OOP). Python is very simple, yet incredibly powerful programming language. You can use it for writing web and desktop apps, scripts, and more. This course teaches you the basics of Python syntax, functions, creating console and web apps, and distribution. Python is a strongly-typed procedural language along with support for a huge and broad standard library. The library of Python provides support for many Internet protocols such as FTP, and IMAP. It has a unique syntax, which makes it different from other programming languages like Java, C++, and C. Some other amazing features of Python are as follows:

Open source language

Simple and easy to learn the language

Scalable and portable language

High-level language Python has some great applications. It is widely used in the development of frameworks such as Django and Pyramid, and advanced content management systems. Python is an excellent first language for new programmers. It can be used for everything from video games to data visualization to machine learning. Along with being the fastest growing programming language, Python is the language of choice for data science and it is widely used to build web application backends. In this remote course, you will get an in-depth hands-on understanding of Python fundamentals from a beginner to advanced level. This online course is for anyone new to Python with an interest in programming. Python is the leading language of choice for many data scientists. Python has grown in popularity within the field due to the availability of many excellent libraries focused on data science (of which NumPy and Pandas are two of the most well-known) and data visualization (like Matplotlib and Seaborn). Python really made Data crunching fun with all its numerous available libraries. Ipython with JupyterLab is another form of Python that improves the usage of Python in the field of data science. This is a complete end-to-end course on Python programming provided by

Uplatz

. The goal of this course is to cover foundational aspects of Python programming with an emphasis on script writing, data manipulation, and program organization. By the end of this course, students should be able to start writing useful Python programs on their own or be able to understand and review the Python code written by their coworkers. This Python course provides a comprehensive and in-depth introduction to the Python language. You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You will be able to harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. Learning from this Python training, you will be able to define and document your own custom functions, write scripts, and handle errors. Also, you will learn to find and use modules in the Python Standard Library and other third-party libraries.

Course Objectives

Understand what is Python and where is it used

History and background of Python programming language

Learn the basic syntax and data structures of Python

Understand programming basics including functions, variables, and data types

Manipulate and output data using arrays, loops, and operators

Have a solid understanding of Python syntax

Master the fundamentals of writing Python scripts

Learn core Python scripting elements such as variables and flow control structures

Discover how to work with lists and sequence data

Write Python functions to facilitate code reuse

Use Python to read and write files

Make their code robust by handling errors and exceptions properly

Work with the Python standard library

Explore Python's object-oriented features

Search text using regular expressions

Develop the ability to write database applications in Python

Python for Everyone: A Hands-On Programming Adventure - Course Curriculum

1. INTRODUCTION TO PYTHON: why learn python, feature of python, importance of learning python, application of python programming. 2. BASIC ELEMENTS OF PYTHON: keywords, datatypes, identifiers, operators, statements. 3. INSTALLATION OF PYTHON. 4. INPUT AND OUTPUT STATEMENTS IN PYTHON. 5. DATA TYPES IN PYTHON: int, float, strings, lists, tuples, dictionaries. 6. OPERATORS IN PYTHON: arithmetic, logical, assignment, relational, bitwise, membership operators. 7. TYPE CONVERSION IN PYTHON: implicit and explicit conversion in python. 8. BASIC PROGRAMMING IN PYTHON. 9. INTRODUCTION TO MATH MODULE IN PYTHON. 10. CONDITIONAL STATEMENTS IN PYTHON: simple if, simple if-else, multiple if-else, nested if-else. 11. LOOPING IN PYTHON: for loop, while loop in python, break and continue keywords in python, nested for loop in python. 12. FUNCTIONS IN PYTHON: declaration and definition of functions in python, passing arguments in functions, return keyword, function calling, arbitrary arguments, keywords arguments, default arguments in python. 13. STRINGS IN PYTHON: basics of strings, string functions. 14. LISTS IN PYTHON: introduction, list functions in python, list programs. 15. TUPLES IN PYTHON: basics, tuple functions. 16. SETS IN PYTHON: basics, set operations. 17. DICTIONARIES IN PYTHON: basics, functions in dictionaries, examples. 18. BUILT-IN METHODS IN PYTHON. 19. LAMBDA FUNCTIONS IN PYTHON. 20. FILE HANDLING IN PYTHON. 21. EXCEPTION HANDLING IN PYTHON. 22. PYTHON PROGRAM EXAMPLES. 23. OPERATOR PRECEDENCE IN PYTHON. 24. RECURSION IN PYTHON. 25. PROGRAMMING EXAMPLES IN PYTHON. 26. OBJECT ORIENTED PROGRAMMING IN PYTHON: class, objects, inheritance, polymorphism, terminologies, class attributes, object attributes, examples. 27. TIME MODULE IN PYTHON. 28. BOOLEAN IN PYTHON. 29. MISCELLANEOUS TOPICS. Learning Python offers a wealth of benefits, making it one of the most popular and valuable programming languages today. Here are the key advantages: 1.

Versatility and Wide Applications

Python is used in diverse fields like

web development

,

data science

,

machine learning

,

AI

,

automation

,

game development

, and

IoT

.

Its adaptability makes it a go-to language for various projects and industries. 2.

Beginner-Friendly Syntax

Python's clean, readable syntax makes it ideal for beginners.

It allows you to focus on learning programming concepts rather than syntax complexities. 3.

High Demand in the Job Market

Python skills are highly sought after in roles such as data scientist, software developer, AI/ML engineer, and web developer.

Companies like Google, Facebook, and Netflix rely heavily on Python, ensuring numerous job opportunities. 4.

Extensive Libraries and Frameworks

Python offers libraries like

NumPy

,

Pandas

,

TensorFlow

, and

Scikit-learn

for data science and machine learning.

Frameworks like

Django

and

Flask

simplify web development. 5.

Active Community Support

A vast and active Python community ensures help is readily available for learning, troubleshooting, and project development.

Extensive documentation and online tutorials make self-learning easier. 6.

Cross-Platform Compatibility

Python is platform-independent, meaning code can run seamlessly on different operating systems with minimal adjustments. 7.

Efficiency and Speed in Development

Python's simplicity speeds up development time, making it cost-effective for businesses and an efficient choice for developers. 8.

Ideal for Prototyping

Its quick setup and execution allow developers to prototype and test ideas swiftly, iterating faster. 9.

Support for Emerging Technologies

Python plays a pivotal role in cutting-edge technologies like AI, deep learning, and natural language processing. 10.

Gateway to Automation

Python enables the automation of mundane tasks, boosting productivity and efficiency in work environments. 11.

Open Source and Free

Python is free to use, making it accessible for everyone, regardless of budget constraints. 12.

Transferable Skills

The logical thinking and problem-solving skills you develop with Python are transferable to other programming languages and roles. 13.

Continuous Growth and Innovation

Python's popularity ensures it evolves with new libraries, tools, and frameworks, staying relevant in the ever-changing tech landscape.