Python is a high-level, general-purpose programming language. The document provides information on getting started with Python including:
- Python was created by Guido van Rossum in 1991 and focuses on code readability.
- It is widely used by organizations for tasks like web development, data analysis, AI, and scientific computing due to features like being interactive, modular, dynamic, and having a large standard library.
- Common Python interpreters include CPython, IronPython, Jupyter, and popular IDEs are Spyder, PyCharm, and Visual Studio Code. The document also discusses Python modes like script and interactive mode and provides examples of creating a basic "Hello World" Python program.
Python programming | Fundamentals of Python programming KrishnaMildain
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
Python programming | Fundamentals of Python programming KrishnaMildain
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
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
this presentation will walk you through basic introduction to python, major features of python, how python runs on our system and some important commands used in python.
YouTube Link: https://youtu.be/mHezNgNBnuA
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Date and Time in Python' will train you to use the datetime and time modules to fetch, set and modify date and time in python.
Below are the topics covered in this PPT:
The time module
Built-in functions
Examples
The datetime module
Built-in functions
Examples
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Python An Introduction, A presentation Developed by Swarit Wadhe. This Slide Will Give you basic information about python (Origin, Codes and difference from other languages).
I hope you'll find this helpfull and if you do please share it with your fellows.
This is the basic introduction of the pandas library, you can use it for teaching this library for machine learning introduction. This slide will be able to help to understand the basics of pandas to the students with no coding background.
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.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
this presentation will walk you through basic introduction to python, major features of python, how python runs on our system and some important commands used in python.
YouTube Link: https://youtu.be/mHezNgNBnuA
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Date and Time in Python' will train you to use the datetime and time modules to fetch, set and modify date and time in python.
Below are the topics covered in this PPT:
The time module
Built-in functions
Examples
The datetime module
Built-in functions
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
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Castbox: https://castbox.fm/networks/505?country=in
Python An Introduction, A presentation Developed by Swarit Wadhe. This Slide Will Give you basic information about python (Origin, Codes and difference from other languages).
I hope you'll find this helpfull and if you do please share it with your fellows.
This is the basic introduction of the pandas library, you can use it for teaching this library for machine learning introduction. This slide will be able to help to understand the basics of pandas to the students with no coding background.
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.
Introduction to Python
What is Python?
Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and first released in 1991. Python emphasizes code readability with its clean and straightforward syntax, making it an excellent choice for beginners and experienced developers alike.
Features of Python:
Simple and Easy to Learn: Python's syntax is designed to be intuitive and readable, making it easy for beginners to grasp.
Interpreted: Python code is executed line by line by the Python interpreter, which means you can run Python code without the need for compilation.
High-Level: Python abstracts low-level details, allowing developers to focus on solving problems rather than dealing with system-level intricacies.
Dynamic Typing: Python uses dynamic typing, meaning you don't need to declare variable types explicitly. Variables can dynamically change types during execution.
Multi-paradigm: Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Extensive Standard Library: Python comes with a vast standard library that provides support for various tasks like file I/O, networking, and more, making it highly versatile.
Portability: Python is available on various platforms, including Windows, macOS, and Linux, making it highly portable.
Community and Ecosystem: Python has a large and active community, contributing to a rich ecosystem of libraries and frameworks for various domains, such as web development, data science, machine learning, and more.
Use Cases of Python:
Web Development: With frameworks like Django and Flask, Python is widely used for building web applications.
Data Science: Python's rich ecosystem of libraries such as NumPy, Pandas, and Matplotlib makes it a popular choice for data analysis and visualization.
Machine Learning and AI: Libraries like TensorFlow, PyTorch, and scikit-learn enable developers to build machine learning models and AI applications efficiently.
Scripting: Python's simplicity and versatility make it ideal for writing scripts for automation, system administration, and more.
Game Development: Python is used in game development, both for writing game logic and scripting within game engines like Unity.
Installing Python:
To get started with Python, you need to install it on your system. You can download Python from the official website python.org and follow the installation instructions for your operating system.
Hello, World! Example:
Let's start with the traditional "Hello, World!" program in Python:
python
Copy code
print("Hello, World!")
This simple program prints "Hello, World!" to the console. It's a common starting point for learning any programming language.
Python is a high-level language programming, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable.
Python is a widely used programming language that offers several unique features and advantages compared to languages like Java and C++. Our Python tutorial thoroughly explains Python basics and advanced concepts, starting with installation, conditional statements, loops, built-in data structures, Object-Oriented Programming, Generators, Exception Handling, Python RegEx, and many other concepts. This tutorial is designed for beginners and working professionals.
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
WHY
WHERE
HOW
WHEN
WHO
FOR WHAT
Defining Data Science
• What Does a Data Science Professional Do?
• Data Science in Business
• Use Cases for Data Science
This presentation educates you about Python and the reason for learning python, Key advantages of learning Python, Characteristics of Python, Hello World using Python syntax and Applications of Python.
For more topics stay tuned with Learnbay.
Similar to session5-Getting stated with Python.pdf (20)
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. Introduction
Python is a high-level, interpreted and
general- purpose dynamic programming
language that focuses on code readability.
The syntax in Python helps the programmers to
do coding in fewer steps as compared to Java or
C++.
The language founded in the year 1991 by
the developer Guido Van Rossum has the
programming easy and fun to do.
3. GUIDO VAN ROSSUM
Guido Van Rossum is
a Dutch programmer
best known as the
author of the Python
programming language,
for which he was the
"Benevolent Dictator For
Life" until he stepped
down from the position
in July 2018.
4. Introduction
The Python is widely used in bigger
organizations because of its multiple
programming paradigms. They usually
involve imperative and object-oriented
functional programming. It has a
comprehensive and large standard library
that has automatic memory management
and dynamic features.
5. Introduction
Python is a general-purpose language,
which means it can be used to build just
about anything, which will be made easy
with the right tools/libraries.
Professionally, Python is great for backend
web development, data analysis, artificial
intelligence, and scientific computing. Many
developers have also used Python to build
productivity tools, games, and desktop
apps, so there are plenty of resources to
help you learn how to do those as well.
6. History of Python
Work on Python began in late 1989
by Guido van Rossum, then at
Centrum Wiskunde (Pronounce as viskulu
meaning mathematics) & Informatica CWI
in the Netherlands, and eventually
released for public distribution in early
1991.
7. History of Python
Where was Python created?
Python was conceived in the late 1980s,
and its implementation began in
December 1989 by Guido Van Rossum at
Centrum Wiskunde (Pronounce as
viskulu meaning mathematics) &
Informatica (CWI) in the Netherlands as a
successor to the ABC language (itself
inspired by SETL(SET Language)) capable
of exception handling and interfacing
with the Amoeba operating system.
8. History of Python
What language is Python written in?
Since most modern OS are written in C,
compilers/interpreters for modern high-
level languages are also written in C.
Python is not an exception - its most
popular/"traditional" implementation is
called CPython and is written in C. There
are other implementations: IronPython
(Python running on .NET).
9. History of Python
How did it all begin? Innovative At
At the time, van Rossum was a
researcher with considerable language
design experience with the interpreted
language ABC, also developed at CWI
(Centrum Wiskunde (Pronounce as
viskulu meaning mathematics) &
Informatica.P.O.Box 940791090 GB
Amsterdam NETHERLANDS), but he was
unsatisfied with its ability to be
developed into something more.
10. History of Python
How did it all begin? Innovative At
Some of the tools he envisioned were for
performing general system administration
tasks, so he also wanted access to the
power of system calls that were available
through the Amoeba distributed operating
system. Although an Amoeba-specific
language was given some thought, a
generalized language made more sense,
and late in 1989, the seeds of Python were
sown.
11. Where does the Python name come from?
When he began implementing Python,
Guido van Rossum was also reading the
published scripts from “Monty Python's
Flying Circus”, a BBC comedy series from
the 1970s. Van Rossum thought he
needed a name that was short, unique,
and slightly mysterious, so he decided to
call the language Python.
13. Why Companies Prefer Python?
Python has top the charts in the recent years
over other programming languages like C,
C++ and Java and is widely used by the
programmers. The language has undergone
a drastic change since its release 25 years
ago as many add-on features are introduced.
The Python 1.0 had the module system of
Modula-3 and interacted with Amoeba
Operating System with varied functioning
tools. Python 2.0 introduced in the year 2000
had features of garbage collector and
Unicode Support.
14. Why Companies Prefer Python?
Python 3.0 introduced in the year 2008
had a constructive design that avoids
duplicate modules and constructs. With
the added features, now the companies
are using Python 3.5.
The software development companies
prefer Python language because of its
versatile features and fewer programming
codes. Nearly 14% of the programmers use
it on the operating systems like UNIX, Linux,
Windows and Mac OS.
15. Why Companies Prefer Python?
The programmers of big companies use Python
as it has created a mark for itself in the software
development with characteristic features like:
Interactive
Interpreted
Modular
Dynamic
Object-oriented
Portable
High level
Extensible in C++ & C
16. Why Companies Prefer Python?
The programmers of big companies use Python
as it has created a mark for itself in the software
development with characteristic features like:
Easy-to-learn
Easy-to-read
Easy-to-maintain
Robust
Effective as a Rapid Prototyping Tool
A Memory Manager
Interpreted and (Byte-) Compiled
19. Python Advantages - Plus Points
Easy to Use.
Expressive Language.
Interpreted Language.
Its Completeness.
Cross Plat Form Language.
Free and Open Source.
Variety of Usage/Applications.
Interactive.
Modular.
Dynamic.
Object-oriented.
Portable.
High level.
Extensible in C++ & C.
Easy-to-read.
Easy-to-maintain.
Robust.
Effective as a Rapid
Prototyping Tool
A Memory Manager.
Interpreted and (Byte-)
Compiled.
Multi paradigm language.
20. Python Advantages - Plus Points
Acts as foundation to learn other languages.
Perfect to build prototypes.
Flexible.
Case Sensitive Language.
Structured programming language.
Scientific Language.
General purpose language.
21. Python Disadvantages - Minus Points
Not the fastest language.
Lesser Libraries than C, Java, Peri.
Not strong on Type-binding
Not easily convertible.
Python is evolving continuously.
Not a great choice for a high-graphic 3d
game.
Designs issues.
Memory Consumption.
Simple rules.
22. Compilers And Interpreters
Compiler: The language processor that
translates the HLL (High Level Language) into
machine language in one go, and report all the
errors of the program along with the line
numbers.
Interpreter: The language processor that
converts the HLL program into machine
language by converting and executing it line by
line. If there is any error in any line, it reports it
at the same time and program execution cannot
resume until the error is rectified.
24. Working In Python
Python is free, open-source software that
works on Linux, Mac, Windows, and various
other platforms (21 in total).
Default installation available from
www.python.org is called CPython installation.
It comes preinstalled on Mac and most
distributions of Linux.
There are multiple python
distributions available.
25. Python Distribution
What is Python distribution?
A Python distribution is a software bundle,
which contains a Python interpreter and the
Python standard library. Installer programs for
common operating systems.
Aside from the official CPython distribution
available from python.org, other
distributions based on CPython include the
followings:
Active Python
Anaconda
Canopy
WinPython
26. Integrated Development Environment
(IDE)
An integrated development environment (IDE)
is a software application that provides
comprehensive facilities to computer
programmers for software development.
An IDE normally consists of a source code
editor, build automation tools, and a debugger.
Most modern IDEs have intelligent code
completion.
27. Python IDE / IDLE
IDLE (short for integrated
development environment or integrated
development and learning environment)
is an integrated development
environment for Python, which has been
bundled with the default implementation of
the language since 1.5.2b1.
…Pythonshell with syntax highlighting.
31. PYTHON SHELL
What is Shell?
A shell is usually an "interactive shell",
usually termed a REPL which stands
for "Read - Execute - Print - Loop"
Most interpreted languages offer a
REPL interface - whether its LISP, python,
BASIC or Javascript or even DOS batch
language or Unix Shells. The interpreter
is what actually executes the lines of
code.
32. PYTHON SHELL
What is Python Shell or Python
Interactive Shell?
The Python interpreter can be used from
an interactive shell. The interactive
shell is also interactive in the way that it
stands between the commands or
actions and their execution. ...
Python offers a comfortable command
line interface with the Python shell, which
is also known as the "Python interactive
shell".
34. Python Basic Modes
What are the basic modes of python?
Python has two basic modes:
Script and
Interactive.
35. Python Basic Modes
1) Script Mode:
The normal mode is the mode where
the scripted and finished .py files are
run in the Python interpreter.
2) Interactive Mode:
Interactive mode is a command line
shell which gives immediate
feedback for each statement, while
running previously fed statements in
active memory.
36. Python Sript Modes
What is Script?
Scripts are reusable. Basically, a script
is a text file containing the statements
that comprise a Python program. Once
you have created the script, you can
execute it over and over without having
to retype it each time. Scripts are
editable.
43. Jupyter Notebook IDE
What is Jupyter Notebook?
The Jupyter Notebook is an ANACONDA TOOL and is
an open-source web application that allows you to
create and share documents that contain live code,
equations, visualizations and narrative text.
Note: Jupyter Notebook runs on your browser.
50. Spyder IDE
What is Spyder?
Spyder is an open source cross-platform integrated
development environment (IDE) for scientific
programming in the Python language.
53. PyScripter IDE
What is PyScripter?
PyScripter is a free and open-source Python Integrated
Development Environment (IDE) created with the
ambition to become competitive in functionality with
commercial Windows-based IDEs available for other
languages.
55. Understanding First Python Program
1) Start Sypder IDE or any other editor of your choice.
2) Start new file (FileNew File) and type the following
text in the editor window:
a) #My First Python Program.
b) Print(“Hello World”)
3) Now save your script with a desired name.
a) Make sure to select Save as type as Python Files.
b) Give .py extension to your python program file
4) Now run your script by clicking Run icon [] or by
clicking Run Run command or by pressing F5
5) It will show you the output in the console window pane.