Python is a widely-used and powerful computer programming language that has helped system administrators manage computer networks and problem solve computer systems for decades. Python has also built some popular applications like BitTorrent, Blender, Calibre, Dropbox, and much more. Going further, the “Pi” in Raspberry Pi stands for Python, so learning Python will instill more confidence when working with Raspberry Pi projects. Python is usually the first programming language people learn primarily because it is easy to learn and provides a solid foundation to learn other computer programming languages. In this webinar, • Learn what Python is and what it is capable of doing. • Install Python’s IDE for Windows and work in the Python shell. • Use calculations, variables, strings, lists, and if statements. • Discover Python’s built-in functions and understand modules. • Create simple programs to build on later. The recording is available at https://youtu.be/ThcWmJFf-ho.
This Edureka Python tutorial will help you in understanding the various fundamentals of Python programming with examples in detail. This Python tutorial helps you to learn following topics: 1. Introduction to Python 2. Who uses Python 3. Features of Python 4. Operators in Python 5. Datatypes in Python 6. Flow Control 7. Functions in Python 8. File Handling in Python
Youtube Link: https://youtu.be/woVJ4N5nl_s ** Python Certification Training: https://www.edureka.co/data-science-python-certification-course ** This Edureka PPT on 'Python Basics' will help you understand what exactly makes Python special and covers all the basics of Python programming along with examples. Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Castbox: https://castbox.fm/networks/505?country=in
Basic Fundamentals of Python Programming. What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more. Data Structure using Python, Object Oriented Programming using
This document provides an overview of the Python programming language. It covers Python basics like syntax, datatypes, modules, and control structures. It also discusses topics like functions, classes, files, and popular Python modules. The document contains an agenda that outlines these topics and provides code samples to illustrate Python concepts hands-on. It aims to equip readers with foundational Python programming knowledge.
This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
Python functions allow for reusable code through defining functions, passing arguments, returning values, and setting scopes. Functions can take positional or keyword arguments, as well as variable length arguments. Default arguments allow functions to specify default values for optional parameters. Functions are objects that can be assigned to variables and referenced later.
This document provides an introduction to the Python programming language. It covers Python's history and features, including its syntax, types, operators, control flow, functions, classes, and tools. Python is a readable, dynamic language suitable for web development, GUIs, scripting, and more. It has a focus on readability and productivity. Major companies and organizations that use Python include Google, NASA, Dropbox, IBM, Instagram, and Mozilla.
The document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language that is easy to learn and read. It also covers Python features such as portability, extensive standard libraries, and support for functional, structured, and object-oriented programming. The document then discusses Python data types including numbers, strings, and various Python syntax elements before concluding with the history and evolution of the Python language through various versions.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1990. It has a clear, readable syntax and is designed to be highly extensible. Python code is often much shorter than equivalent code in other languages like C++ or Java due to features like indentation-based blocks and dynamic typing. It is used for web development, scientific computing, and more.
This document provides an overview of key concepts in Python including: - Python is a dynamically typed language where variables are not explicitly defined and can change type. - Names and identifiers in Python are case sensitive and follow specific conventions. - Python uses indentation rather than brackets to define blocks of code. - Core data types in Python include numeric, string, list, tuple, dictionary, set, boolean and file types. Each has specific characteristics and operators.
This document provides an overview of the Python programming language. It discusses Python's history, key features such as being easy to use, scalable, high-level, object-oriented, interpreted, and having a rich core library. It also covers Python's uses in areas like web development, databases, GUI programming, and more. The document is intended to introduce readers to Python and provide context for a book on making use of the language.
Introduction to python -easiest way to understand python for beginners What is Python…? Differences between programming and scripting language Programming Paradigms History of Python Scope of Python Why do people use Python? Installing Python
The document provides an introduction to Python programming by discussing statements and syntax. It covers assignment statements, expression statements, print operations, conditional statements like if/else, and loop statements like while and for. It explains how Python programs are composed of modules containing statements with expressions. Truth tests for conditionals and built-in functions like range, zip that can be used in loops are also overviewed.
If you're absolutely new to Python, and to programming in general, this is the place to start! Here's the breakdown: by the end of this workshop, you'll have Python downloaded onto your personal machine; have a general idea of what Python can help you do; be pointed in the direction of some excellent practice materials; and have a basic understanding of the syntax of the language. Please don't forget to bring your laptop! Audience: "Python 101" is geared toward individuals who are new to programming. If you've had some programming experience (shell scripting, MATLAB, Ruby, etc.), then you'll probably want to check out the more intermediate workshop, "Python 101++".
This document provides an introduction to the Python programming language. It discusses Python's design philosophy emphasizing readability. It also covers printing messages, reading input, variables and data types, operators, and basic syntax like comments and identifiers. Arithmetic, relational, logical and bitwise operators are explained along with examples.
The document provides an overview of the Python programming language. It discusses that Python is an easy to learn, high-level, open-source programming language. It describes Python's design philosophy of code readability and how it allows programmers to express concepts in fewer lines of code compared to languages like C++ and Java. The document also discusses Python's powerful libraries, wide use across industries, and how to get started with Python programming using the IDLE integrated development environment.
Python is an interpreted programming language created by Guido van Rossum in 1991. It has an elegant syntax, large standard library, and is used widely for data science, machine learning, web development, and more. Key Python libraries for data analysis include NumPy, pandas, and matplotlib. Pandas allows importing and cleaning data from files like CSVs, and matplotlib can be used to visualize and present analyzed data. For example, a program can use pandas to read baby name data from a CSV, find the most popular name with the highest birth count, and plot the results to clearly present the findings.
This presentation is a part of the COP2271C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce Freshmen students to both the process of software development and to the Python language. The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson. A video of Dr. Anderson using these slides is available on YouTube at: https://www.youtube.com/watch?feature=player_embedded&v=_LxfIQuFALY
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This document introduces programming and why it is useful. It discusses how computers are built to be helpful by performing tasks described through programming languages. It explains that programmers understand computer ways and languages, allowing them to build new tools for users or automate tasks for themselves. The document also discusses different types of programs, including those for entertainment or accomplishing tasks. Overall, it provides a high-level introduction to programming and why people pursue it.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum who named it after the Monty Python comedy troupe. People use Python for a variety of tasks due to its readability, object-oriented capabilities, extensive libraries, and ability to integrate with other languages. To run Python code, it must first be compiled into bytecode which is then interpreted by the Python virtual machine.
The type of a value refers to the kind of data it represents. In Python, the main types are: - int - integer numbers like 1, 2, 100 - float - floating point numbers like 1.5, 3.14159 - str - strings, sequences of characters like 'hello' - bool - boolean values True or False When you write code, Python assigns a type to each value. The type determines how it can be used and what operations are valid on it. For example, you can add two integers but not add an integer to a string. Checking and understanding types is important for writing correct Python code.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum. Python is an interpreted language that is free, powerful, and portable. It can be used for tasks like web development, data analysis, and system scripting. The document provides an overview of Python including its history, uses, data types like strings and lists, and basic programming concepts like variables, conditionals, and loops. It recommends Python as a principal teaching language due to its free and easy installation, flexibility, use in academia and industry, and ability to offer a more rapid and enjoyable learning experience for students.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum to address the need for a higher level language in the Amoeba operating system project. Python is widely used today for web development, science, system administration, and more due to its readability, object orientation, powerful libraries, and portability across operating systems. To use Python, one installs an IDE like Python 2.7 and then writes and runs code either in the Python command line or IDE.