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Power Up Your Python Skills: 10 Exciting Projects to Master Coding
Forget textbooks and lectures â the most epic way to learn Python is by doing! This guide unveils 10 thrilling projects that will transform you from a programming rookie to a coding champion. Prepare to conquer these quests and unleash your creativity and problem-solving prowess.
With the helpful assistance of Learn Python Course in Hyderabad, studying Python becomes lot more exciting â regardless of whether youâre a beginner or moving from another programming language.
Mission 1: Command Line Masters
Your quest begins with mastering the fundamentals. Build simple command-line applications â think math wizards, unit converters, or random password generators. These projects are the stepping stones to Pythonic greatness!
Mission 2: Text-Based Games â Level Up
Time to challenge yourself! Create captivating text-based games like Hangman, Tic-Tac-Toe, or a trivia extravaganza. Craft engaging gameplay using loops, conditionals, and functions, while honing your Python skills in the process.
Mission 3: Web Scraper â Unearthing Web Data
The vast web holds secrets waiting to be discovered! Build web scrapers to extract valuable information from websites. Employ libraries like BeautifulSoup and Requests to navigate the HTML jungle, harvest data, and unlock hidden insights.
Mission 4: Data Analysis Detectives
Become a data analysis extraordinaire! Craft scripts to manipulate and analyze data from diverse sources â CSV files, spreadsheets, or databases. Calculate statistics, then use matplotlib or seaborn to create eye-catching data visualizations that reveal hidden truths.
Mission 5: GUI Gurus â Building User-Friendly Interfaces
Take your Python mastery to the next level by crafting user-friendly graphical interfaces (GUIs) with Tkinter or PyQt. From to-do list managers to weather apps, these projects will teach you how to design intuitive interfaces and conquer user interactions.
Mission 6: API Alliances â Connecting to the World
Expand your horizons by building clients for web APIs. Interact with services like Twitter, Reddit, or weather APIs to retrieve and display data. Master the art of making HTTP requests, parsing JSON responses, and handling authentication â invaluable skills for any programmer. People can better understand Pythonâs complexity and reach its full potential by enrolling in the Best Python Certification Online.
Mission 7: Automation Army â Streamlining Workflows
Say goodbye to repetitive tasks! Write automation scripts to handle tedious processes like file management, data processing, or email sending. Utilize libraries like os, shutil, and smtplib to free up your time and boost productivity.
Mission 8: Machine Learning Marvels â Unveiling AI Power
Enter the fascinating world of machine learning! Build basic classification or regression models using scikit-learn. Start with beginner-friendly projects like predicting housing prices or classifying flowers, then explore more complex algorithms as you progress.
Mission 9: Web Development Warriors â Forge Your Online Presence
Immerse yourself in the thrilling world of web development. Construct simple websites or web applications using frameworks like Flask or Django. Whether it's a personal portfolio site, a blog, or a data-driven application, these projects will teach you essential skills like routing, templating, and database interactions.
Mission 10: Open Source Odyssey â Join the Coding Community
Become a valued member of the open-source community! Contribute to projects on platforms like GitHub. Tackle beginner-friendly issues, fix bugs, or improve documentation. Gain real-world experience and collaborate with fellow developers to make a lasting impact.
These 10 Python quests aren't just about acquiring coding skills â they're a gateway to a world of exploration and innovation. Each project offers a unique opportunity to learn, grow, and create something amazing. So, grab your virtual sword and shield (aka your code editor) and embark on this epic Python adventure!
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Build Real World Python Projects - GetFreeCourses

Build Real World Python Projects
Python Masterclass 2023: Build 19 Real World Python Projects Build Real World Python Projects course is designed for beginners who want to learn Python programming language from scratch. The course contains two parts: 1. Python Basics (Section 1 to Section 14) 2. Python Projects(Section 15 to Section 44 ) Here Is What You Get By Enrolling In This Course: Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code. High Quality Content: Over 55+ hours of HD(1080p) Videos. Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, Flask, Tkinter, OpenCV, File Compression, Desktop App development with PostgreSQL & Web Scraping. 24 X 7 Support: I will always be there to guide you in your journey to become Python expert. _________________________________________________________________________ Here Is Everything You Will Learn In This Complete Course: In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool. This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics. We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium. The Complete Course is divided into 17 Major sections. Here is a brief description of what you will learn in each section. Section 1: Python basics. This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section. Section 2: Make GUI In Python Using Tkinter. Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator. Section 3: Making Database Oriented Desktop Apps With PostgreSQL. Making a simple desktop app alone isnât sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend. Section 4: File Compression & Encoding In Python. In this section we will learn how to perform file compression in Python to reduce file size. We also learn how to de-compress the compressed data and the methods used for it. We build a GUI based file compression tool using Python & Tkinter and a file compression library. Section 5: Text To Speech Converter Using Python. Text could be converted into speech/audio and that is exactly what is being covered in this specific section where we build a tool that generates audio from a given text. Not just that, we also learn how to convert an entire text file into mp3 which can be used to generate audiobooks from ebooks. We also learn how to convert the user input into speech. Section 6: QR Code Generator. We build a simple tool that can convert any link and convert it into a QR code that can be scanned via any smartphone that has a QR code reader. This tool creates QR code images that can be shared anywhere and the entire tool is built using Python & Tkinter. Build Real World Python Projects Section 7: Video Downloader App. In this section we built another tool to build our Python skills. This tool accepts a video URL, asks us to select the path where we want to download the specified video and then downloads that video to the specified path on our operating system. Not just that, this tool will also be able to convert video files into pure mp3 files as well. We build this tool from scratch right from architecting the code to designing the functionality to creating a user interface, all of it done using Python. Section 8: Building A Credit Card Validator Using Lhunâs Algorithm. In this section we will learn what is Lhunâs algorithm and how it is used to validate credit cards. We learn how Lhunâs algorithm can be implemented in Python and used to validate credit card numbers. This section is designed to teach algorithmic thinking and implementation in Python. Section 9: Data Analysis. Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library. In this section we also have a data science project which is based on analysing supermarket data to find insightful information which helps take better business decisions. We also learn how to represent data visually using multiple types of charts and bar graphs built using matplotlib. Section 10: Python Web Framework Django 3. This section will teach you how to build full-stack web applications with Python & Django 3. Django is one of the most popular web frameworks for Python and is used to program the back-end side of out web app. In this section we will learn Django right from basics and will build a simple book store web application. We will learn how to create models, how to route URL requests, how to create different views for our web app, how to integrate HTML templates and a lot more. In this section we also build a fully functional todo list application built using Django. This application performs all the basic CRUD operations which stands for Create, Read, Update & Delete data from the database. While building this application, we ensure that all the important concepts of Django are throughly covered and implemented. Section 11: Python Web Framework Flask. Flask is a micro web framework for Python used to build simpler web apps. If you want to develop some simple and small websites, you can do so using Flask. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies. Section 12: REST APIs Using Django Rest Framework. In this section we learn how to build our own REST APIs using the Django Rest Framework. If you already have a Django web app built, you can create API endpoints for it using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication. Section 13: Web Scraping in Python. Python can also be used to crawl websites and gather data from it. In this section we learn the same, we build a web crawler which crawls up any website of our choice and gathers links from it. Web crawlers are used by many search engines to rank websites and in this section we learn how to build a smaller version of it using Python. Section 14: Automation with Python & Selenium. Python is widely used for automation as well, especially for testing. Selenium web driver is one such tool which has been built for automating tests but the same can be used for automating other browser based tasks as well. In this section we learn how to automate tasks using Selenium and will also build a Facebook Bot that automatically posts status for us. Section 15: Best Practices: Writing Clean & Efficient Python Code. To be a good Python engineer/ developer you need to know how to write clean, concise and efficient Python code. In this section we learn some of the best practice that you must follow while writing Python code so. Section 16: Network Programming In Python Using Sockets: Building A Chat Application. Networking is an important concept in IT & Computer Science as it facilitates communication between devices or servers. Keeping this in mind, this section covers the basic networking concepts and we learn how to implement them using Python by building a simple desktop based chat application. In this section we learn what is an IP address, what are ports, sockets and buffers and how they could be used to implement a communication program. We lean how sockets can be used for communication between process on the same and on different devices. Section 17: Image Processing With Python & OpenCV. Python can also be used to process and manipulate images and videos. In this section we learn how to use OpenCV library with Python to manipulate images. We learn some interesting things like capturing webcam video, tracking images from a live video, different image thresholding techniques, image blurring, averaging and Gaussian filtering. _________________________________________________________________________ Build Real World Python Projects So letâs begin the journey of becoming an expert in Python. In addition to the Udemy 30-day money back guarantee, you have my personal guarantee that you will love what you learn in this course. If you ever have any questions please feel free to message me directly and I will do my best to get back to you as soon as possible! _________________________________________________________________________ Make sure to enrol in the course before the price changes. Take yourself one step closer towards becoming a professional Python developer by clicking the âtake this course buttonâ now! Join the journey. Sincerely, Ashutosh Pawar Read the full article
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What's Grey been up to?
Looking to get away from retail work , so I began to self-learn coding. Then scraped together funds to go on a course for a bit and got myself a Python for beginners certificate.
The course was fun, although - I was left waiting since last year and then the first start date ended up getting cancelled so I didnât get to do course till march . Got to make some basic things like a currency converter , a calculator. Then got handed the main project which was to take what I had learned and make something of my own choosing , so I made a text adventure game that is played in the terminal and then with a bit of self-research I began messing around with GUI with the Tkinter module and got the basics of a paint program down.
One lesson we tried doing some things with a Raspberry Pi 3 and using the GPIO hat , but the LED light strip was dead. So the lesson turned into a brief crash course in C++ to demonstrate differences in coding languages , whatâs a compiler , compiled v. interpretated language , high v. low level ect.
With the foundations now under my belt I think Iâm going to spend the following year just jumping in and building up my skills , get to really master Python and branch out into another language. I donât want to try for a full course at a higher level immediately.
In the meantime Iâve also been quietly been putting my twitter into quarantine. Iâm extremely burned out on social media sites. I nuked my FB a long time ago due to my old pa getting into bad things online , that I have to keep dragging him out of â getting conned out of money and cyber-skimmed and warning him not to take whatever pops up in the feed as fact and to not touch the marketplace . Now watching Twitter get X-terminated is that last straw for me - canât safely do commission work , canât link to my other spots in case the boss has a hissy fit , canât shield from bad actors and trolls because the boss wants to hose pipe everyone. So my Twitter is just sitting dormant now. For now I'm trying to get my various art spots back up and running, dusting off the DA , NG and Lospec with the intent to catch up .
Hoping to re-start the webcomic I was running on DA - The Twisted Adventures of Von Slayer, get that going with streaming drawing the pages again. I had to stop previously due to old computer setup dying ( Motherboard was on it's last legs.) It's been all upgraded and fixed since then except for GPU - hoping to upgrade that in the new year.
So there, that's what I've been up to in 2023 :P
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Day 27: GUIs, Tkinter, **kwargs
Today, I learned more about graphical user interfaces (GUIs), Tkinter and default arguments and keyword arguments (*args and **kwargs). I was able to use these concepts to make a miles-to-kilometers conversion calculator pop-up!
Hereâs a picture of the GUI that I coded, it lets you convert any number of miles to kilometers!Â
More on specifics of things under the cut. See you tomorrow! :))
 Advanced python arguments -- when we write python functions, we have the opportunity to write different input variables (arguments) into the definition of the function (ex, needing speed and color to define the car class). With something called âdefault argumentsâ, we can give these variables a default value, so that the function can be called with or without them. For example, letâs say that 9 times out of 10, our cars will be defined as going 0 mph (stopped), and their color is red. We could set these as default values, so that the only time we need to specify the speed or the color is when it is different from these values.
What if we wanted to add any number of arguments? What if the number of arguments was different every time? For that, we can use the tuple argument *args. Rather than defining the functionÂ
def my_function(n1 = 1, n2 = 2 ... n = anything):
  (actions here)
We would instead define it like this:Â
def my_function(*args):
   for n in args:
    (actions here)
In this way, we can cycle through as many or as few items as we want, without needing to define them every time if theyâre not asked for. The âargsâ portion can be any variable name you want, the important bit is the asterisk! That lets the program know that youâre defining a set of unlimited positional arguments.
What if we wanted to have the option to have named arguments? For this, we would use unlimited keyword arguments (**kwargs). **kwargs is a dictionary, made up of user-defined keyword arguments and their values. From this user-defined dictionary, you can call the different keys and values in the function as you normally would from a dictionary.Â
Tkinter -- the tkinter module is ported from another technology, TK! Itâs got a very different syntax from python, so they were ported over by turning all the TK variables into **kwarg arguments. Note: if the user does not define one of these **kwargs, then no function can refer to it directly, or else the program will crash. To avoid this problem, define things from the **kwargs arguments by using the .get() method, like so:Â
self.make = kwargs.get(âmakeâ)
This way, if âmakeâ is a defined variable, then it will be assigned to the object as intended, and if itâs not, then the variable will be assigned the None type, which can help avoid crashing the code by referencing a variable which does not exist.Â
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PySimpleGui Beginners-Day Two
PySimpleGui Beginners-Day Two. A guide to PySimpleGUI. In the second of this series I take you through every step of converting an existing Tkinter app to a full PySimpleGUI app with some extra trimmings.
PySimpleGui Beginners-Day Two
Building A Full Working App With A GUI
By the end of the PSG Day One Primer we had learnt the very basics of PySimpleGUI. There were some vital to understand concepts covered there which if you do not understand yet you might have some difficulty following all of this article.
The Most Important Thing To Know Is;
The most important thing to learn is how the designâŠ
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Java download file from url

Java download file from url how to#
Java download file from url pdf#
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While ((numBytesRead = bufferedInputStream.read(bucket, 0, bucket.
Node.InputStream inputStream = url.openStream() īufferedInputStream bufferedInputStream = new BufferedInputStream(inputStream) įileOutputStream fileOutputStream = new FileOutputStream(outputPath).
Java download file from url pdf#
Vue.js Mozilla PDF.js pdfvuer Module PDF Viewer Example to Display PDF Documents in Browser Using Javascript Full Project For Beginners when the user clicks on the link, it downloads a file from a server url.Python 3 Script to Download PDF Files From URL Using BeautifulSoup4 and Requests Library Full Tutorial For Beginners.Python Tkinter GUI Script to Download PDF Document From URL Desktop App Full Project For Beginners.In this example, we are creating three files: index. Example of downloading file from the server in servlet. But if there is any java file or jsp file etc, you need to create a program to download that file. So there is no need to write the program to download.
Java download file from url zip#
Vue.js PDF.js Library PDF Viewer Example to Display PDF Documents inside Browser Using Javascript Full Project Full Project For Beginners If there is any jar or zip file, you can direct provide a link to that file.
You use the BufferedInputStream class to read the contents of a.
Java download file from url how to#
Python 3 Selenium Web Scraping Script to Take Screenshot of Website URL and Download it as PNG Image File Full Project For Beginners In this tutorial, you learn how to download a file from a URL using the Java IO package.
How to Download File From URL to Google Drive Using Google Colab in Python Full Project For Beginners.
For convenient, script-driven extraction of the downloadable file URLs and.
Java download file from url code#
Javascript PDFMake Library to Export jQuery HTML DataTable to CSV,Excel and PDF Documents in Browser Full Project For Beginners website and especially the download page for source code and.Build a Sapui5 PDF Viewer With Custom Validation Error Messages and Download PDF Button in Browser Using Vanilla Javascript Full Project For Beginners.
Java download file from url generator#
Vue.js Dynamic JSON Data File Generator With Live Preview From Form Field Values and Download as JSON Blob File in Browser Using Javascript Full Project For Beginners.
Python Tkinter Script to Build Download Manger to Download Bulk Multiple Files From URL with Progressbar Animation Using PySmartDL Library Full Project For Beginners.
Using ansferFrom () method class in Java provides several methods for reading, writing, mapping, and manipulating a file. This post provides an overview of some of the available alternatives to accomplish this. Here is Spring boot example to download a file but this code can. It can also be used as the assignment target for a method reference or a lambda expression. StreamingResponseBody is a functional interface. Download File Using StreamingResponseBody.
Python 3 wkhtmltopdf Script to Convert HTML File to PDF or Website URL to PDF Document Using PDFKit Library Full Project For Beginners There are several ways to download a file from a URL in Java. Here we will see following three methods to download a file directly to the client easily: 1.
Sometimes we want to save a web file to our own computer.
Vue.js Mozilla PDF.js vue-pdf-app Library PDF Viewer to Display PDF Documents in Browser Using Javascript Full Tutorial For Beginners The curl tool lets us fetch a given URL from the command-line.
Now sync option will appear at the top right corner click on the sync now option. implementation â:android-pdf-viewer:2.8.2â. ReadableByteChannel readChannel Channels.newChannel ( new URL ( ' ).openStream ()) The ReadableByteChannel class creates a stream to read content from the URL.
Node.js Project to Encode Local PDF File or From URL to Base64 String Using pdf-to-base64 Library in Javascript Full Project For Beginners Step 2: Add dependency to adle (Module:app) Navigate to the Gradle Scripts > adle (Module:app) and add the below dependency in the dependencies section. In order to download the contents of a URL, we will use the ReadableByteChannel and the FileChannel classes.
Python 3 Script to Download Image or PDF File From URL Using Requests and Validators Library Full Project For Beginners.
This code will do for downloading a file from path, This code will also work if you have saved your path in database and to download from that path.
jsPDF Tutorial to Export and Print Div HTML Content to PDF Document and Download it as PDF File in Browser Using Javascript Full Project For Beginners In this article we are going to see how to download a file from a folder using Java, In addition to that we are also going to see how to change the format of that file and download it.
jQuery FullCalendar Integration Using PHP MySQL & AJAX.
Open a browser and navigate to the REST services endpoint of the USA map service (URL: http://<.>Image Crop and Upload using JQuery with PHP Ajax Test the SOE in the ArcGIS Server Services Directory.
jQuery NiceForm â Form Validation & AJAX Submit Plugin.

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Tkinter tutorial python pdfminer3k

Tkinter tutorial python pdfminer3k pdf#
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Weâll also be using nltk for NLP (natural language processing) tasks such as stop word filtering and tokenization, docx2txt and pdfminer.six for extracting text from MS Word and PDF formats.

Tkinter tutorial python pdfminer3k code#
A sample code which uses pdfminer module to extract text from pdf files - pdfTextMiner.py. My approach is getting a list of the text lines and the font size per page, then I will pick the highest number as the slide heading usually written in a higher font size. It has an extensible PDF parser that can be used for other purposes than text ⊠It includes a PDF converter that can transform PDF ïŹles into other text formats(such as HTML). The code still works, but this project is largely dormant.
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter.
Tkinter tutorial python pdfminer3k windows#
Toplevel is a better alternative to spawning extra tkinter windows by using tk().Getting Started Extracting Tables With PDFMiner. Toplevel: A widget in Tkinter that allows for the easy spawning of new Tkinter Windows. Itâs good looking, fast and user friendly and comes in handy often. They give the user the option to select/save a file/directory from their computer through the use of a âDialogâ (The dialog that appears when you click on âopen fileâ or âsave fileâ). Comes with many extra features such images, tags, marks etc.ÄŻile Dialogs: File Dialogs has a rather unique function in Tkinter. Text: An alternative to the Tkinter Entry widget, which can be used to take multiline input from the user. Scrollbar: A useful widget in GUIâs, which allows you to scroll in a Tkinter window or enable the scroll feature for certain widgets. Scale: The Tkinter Scale widget is used to implement a graphical slider to the User interface giving the user the option of picking through a range of values. Itâs like a drawing board on which you can paint/draw anything. As the name suggests, itâs used to draw graphs and plots on. Menu Button: A combination of both the button and menu widget, this button widget displays a drop down menu with a list of options once clicked.ÄŹanvas: One of the more advanced Tkinter widgets. Furthermore, all options are in text format. List Box: Another Tkinter widget that is used to display a list of options for the user to select. Has a more modern approach than other similar widgets. A combobox presents a drop down list of options and displays them one at a time. Menu: The Tkinter Menu widget is used to create various types of menus in the GUI such as top-level menus, which are displayed right under the title bar of the parent window.ÄŹomboBox: A special extension of Tkinter, ttk module brings forward this widget. Label: A Tkinter widget used to display simple lines of text on a GUI. Radio Button : A radio button is a Tkinter GUI widget that allows the user to choose only one of a predefined set of mutually exclusive options. The user may select more than one option. A simple box is provided where the user can input text.ÄŹheck Button : A check button is a Tkinter GUI widget that presents to the user a set of predefined options. Once the button is clicked, an action is triggered by the program.Äźntry: A standard Tkinter widget used to take input from the user through the user interface. A button is used as a way for the user to interact with the User interface. Just like the human skeleton, a Tkinter window requires a frame to support it and give it structure.Ä«uttons: The Python Tkinter Button is a standard Tkinter widget. Frame: Outlines the frame for your Tkinter window with a fixed size.

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100%OFF | Python GUI Programming Using Tkinter and SQLite3

Welcome to Building Portfolio App With Python Tkinter This course will help you to build a Python GUI application Step-by-Step with Tkinter and CoinMarketCap Free API,
Throughout the course, we will learn more about Python and Tkinter,
Understanding API and its usage.
Extracting Crypto Currency Coin Data and working with it.
Building portfolio logic on Command line then focusing on GUI.
Getting started with Tkinter and Python GUI
Merging Command line application with Tkinter and completing .py version.
Converting .py application to executable .exe app.
Understanding the basics of SQLite3 with Python
This course integrates all of the aspects required to get you on the road to becoming a successful Tkinter developer with proper live practical exercises and walk-through from basics to advance. After completing this course you will be ready to expand your knowledge of Tkinter and Python. Enroll now and I will make sure you learn best about Tkinter!
Who this course is for:
Anyone looking to use Python to create GUI Application.
Existing Python Developer who want to build GUI Application using TkInter.
Anyone who wants to build Desktop apps using Python.
[ENROLL THE COURSE]
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Python Project Ideas for Beginners

Python is one of the most famous programming languages nowadays and it seems that this trend will continue beyond 2020. Everyone is interested in learning python programming because of its countless advantages and applications in all types of industries. While learning python, as a beginner you can work on some basic real-time projects so that you can get practical understanding about python.
Only theoretical knowledge is not enough to learn python and one must have hands-on experience of python. In this article, we are going to discuss some basic python project ideas where you can apply your python knowledge and can learn from it.
5 Beginner Tips for Learning Python Programming
Why to work on python projects?
project-based learning helps enhance student knowledge and skills and if you are building a career in software development, Developers need to work on their own projects. So if you are practicing to work on real-time projects, it is the best way to convert your theoretical knowledge into a practical experience that will definitely boost your skills.
Boost confidenceâ If you work on real-time projects, you will get more confident about your strengths and also you will get to know what your weak points are.
Experimentâ While working on a python project, you will get experience to work with new tools and technologies and you will learn more about development tools and libraries, The more you work on different python projects, more you will get a chance to learn about tools and technologies.
To know the software development life cycle â if you are going to develop a project from scratch, you will get a deeper understanding of how the software development life cycle works. Also, you will learn how to write and execute the code, after writing how the testing process works, fixing bugs, deployment of the code and also how to update your software product from time to time.
To be the master in the concepts of programming â The main and biggest advantage of working or on real-world projects is with continuous practice, one will master the concepts of programming language while enhancing and updating skills.
How to become a Master in Python Programming
1. Mad Libs Generator
If you are just starting out with software development, Mad Libs The generator is the perfect beginner project for you to work on. This project is mainly focused on strings, variables, and concatenation. From this project, you will get to learn how to manipulate user-inputted data. In this project, the user needs to input data in any form such as an adjective, a noun, or a pronoun. After entering the input data, the application will take the data and arrange it in a story form. This is one of the interesting projects too.
2. Number Guessing
This is a simple, exciting, and a mini-game type project. You need to make a program in which the computer will randomly choose a number between 1 to 10 or any range. Then users will get a hint to guess the number. Every time the user guesses wrong, his score gets reduced and again user will get another clue. The clue can be of any combination.
3. Dice Rolling Simulator
As per the name suggests this program will generate a random number. As the user rolls the dice, the program will generate a random number between 1 and 6 like standard dice. The number will be displayed to the users. It will also ask users whether they would like to roll the dice again.
4. Contact Book
As a beginner, this is an excellent python project idea. Everyone uses a contact book to save contact details such as name, address, phone number, as well as email address. With this project, you will design a contact book application that users can use to find contact details. The app also allows users to update contact information, delete contacts, and list saved contacts.
5. Desktop Notifier App
Everyone is familiar and experienced with the desktop notifier app. The desktop notifier apps run on your system and send you information at every fixed interval of time. For this, you need to use libraries such as notify2, requests, etc.
6. Calculator
Nowadays there is no much use of a calculator, but if you build a graphical UI calculator, you will become familiar with a library Tkinter in which you can create buttons to perform different operations and display the result on a screen.
Near learn offers real-time project with python programming course to get hands-on experience. If you are interested in learning Python, visit us: www.nearlearn.com or call: +91-80-41700110
#Best Python Training Provider in Bangalore#Best Python Training in Bangalore#Python Training Company in Bangalore
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Jarvis-My personal assistant
Did you watch the movie Iron Man? Hereâs my love for the movie in the form of a my own personal assistant named Jarvis.
Basic Function of Jarvis: Â Â Â Â Â Â Â Â Â Â Â Do what is commanded ----> execute scripts for specific tasks
I designed a server which could process & authenticate requests from any number of sources. By sources, I mean mobile app, desktop app, browser extension and many more. I can even send commands remotely.
For my desktop app, I used Tkinter(Pythonâs GUI) to make GUI.
This is the GUI I was talking about. We can give input in 2 formats, either type and press enter or click on the voice icon to the right and speak.
For my mobile app, I used Telegramâs bot interface. I also created a Chrome extension to operate inside browser.

The above is a telegram interface which sends commands to the server running on my computer and executes commands. The first command âdownload how deep is your loveâ downloads the song. The âWifiâ command toggles the wifi hotspot on my computer and âShut Downâ command shuts down the computer. There are many such commands which perform the tasks even remotely to make my life easier. I put the Jarvisâs response same because it was a really boring task.
However, I was not at all satisfied with Jarvis because it was designed to run on specific commands. To open any website, I had to say âopen youtubeâ. The script needed the first word(open) to open a particular website. I couldnât even use âyoutube openâ. Imagine the pain!
I wanted to use something like, âHey Jarvis! Can you open youtube for me?â. For this flexibility I had to use NLP. I didnât know NLP initially, so I used Facebookâs Wit.ai(not a framework!) to train on specific intents and entities. It was working!
Code to get confidence score from Wit.ai. If it is greater than 70% a particular script will be executed.
Finally! I had what I wanted but it was really slow. Just look at the process: 1. Take the audio recording turn it into text(send request to google) 2. Send the text to Wit.aiâs endpoint 3. Pray that internet connection is strong and that their servers are running. 4. Get the confidence score. 5. Go to a particular script and execute.
The above process takes indefinite amount of time. As expected it was causing a lag. Designing my own NLP system sounded promising!
learning phase...
I designed the model that might work and started collecting data specific to the application. Like most people, I used RNNs using LSTM based model to train on word embedding available on the internet. The output of these RNNs will pass through a softmax layer that outputs the specific script to be executed with a confidence score. I am still working on this model, it gives out correct results sometimes but is not reliable. Maybe owing to the training data specific to the intents that I have to provide.
Jarvis in the movie executes commands based on voice. So, I used pythonâs SpeechRecognition module to take audio inputs and used Google Cloudâs APIs to convert into text(STTs).
I will keep adding regularly to what I have been working on related to Jarvis.
Things need to be done: 1. Making more scripts and generalising them. 2. Combine Jarvis with Home Automation module to use appliances at home. 3. Sending audio data to Google Cloud and returning the response is creating an undesired lag. Have to create an audio to text Neural Net. 4. Enclose with Docker to resolve dependency issues. Most of you will face these issues while trying out the project.
Github :Â https://github.com/rohanricky/Jarvis
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019 // Technical Notes, No.1: Lots to say about a map editor.
Part I: Introduction and Burncards
This week, I would like to take a moment and talk about my map editor. Sorry it was a bit late but if you like essays, you should not be disappointed!
n.b.: There will be a lot of talking and visitors will be forgiven for skipping the text and just looking at the images.
When I started this project, I decided that I would like to try making maps in the old way, by creating a sequence of graphic tiles and arranging them into grids of numbers that corresponded to specific ones. Naturally, putting the tiles in sequence manually (in raw text) would be tedious, error-prone, extremely time-consuming, and, ultimately, a profoundly frustrating and dissatisfying ordeal, so I elected to create a map editor for this purpose instead. This editor has since become a tool that does considerably more than just place tiles in a grid and convert graphic references into numbers and back again.
My editor, which has been under continuous development since 2013, displaying a very basic map used to test and edit new map features and effects. It operates mainly using the Pygame (interface) and ConfigParser (data handling) modules.
* Again, be forewarned that this is long! But there are pictures to reward you. Kind of.
When I began, I had very little idea of how complex each map was liable to become, and so I began work on the editor with the idea of keeping the software as flexible and extensible as possible. Unfortunately, when I began, I also had exactly no idea of how to create working software in Python, and the result was a kind of mash of functions and reinvented-wheels and features which could have been created in any number of better ways. For instance, as I mentioned in my post No.005, I only recently learned about, and how to use, the Tkinter module, and previously all of my prompts and inputs had been done using modules I made myself. I am very happy with these modules. But creating them took days I probably could have put into artwork or mapbuilding. Again, there is no disappointment, since I learned much about Pygame in the process, and my editor has a very personal, if slightly defective, character to it. Plus, it is easier to add new functions since I understand exactly mostly how it was made!
Probably the most elaborate element of the editor to work out was sorting out how to have it save and load data, but first I will bore you with a little background on the data itself..
The tile "chart" -- the sequence of numbers that describes where each tile goes -- was easy, but as you have seen, there is far more to each map than just the tiles. There are several types of special effect, there are blocking zones, there are interactable objects and sprites, there are moving background objects and objects whose appearance and behaviour changes depending on where you are on the map, and all of these elements have their own parameters and data that needs to be stored, and restored, during the editing process. To make matters more complicated, most of these object types have their own specific modules, and their age and quality changes a lot between the oldest ones (which include effects like blinking pixels and the sunbeam effects discussed in post No.016) and modules implemented as recently as last month (the simple animated sprites in post Nos.009 and 010). Although all of the modules work when I test them, the nomenclature they use-- the format of the data they use to generate and time effects-- is, if you will forgive the term, all over the map. (:y)
The data stored in a bland text file like this..
..becomes the lively (if somewhat strange-looking) foliage you see in here!
I have at many points been tempted to go back and revise the input structures of the oldest and least-comprehensible modules, but have every time decided not to, for two reasons: one is because they work and I find myself busy enough to leave well enough alone, and the other is because changing the data structure of these older modules would require that I go through every existing map that uses any updated module and revise the data it has recorded to reflect the new design. Which is super-de-duper tedious and exposes me to only a kabillion points of failure and only improves the look, rather than function, of the data as it is recorded in a file nobody besides myself is ever liable to see. And! There is a good chance that, later on in my planless, perhaps endless, development cycle, I will decide that the new format also sucks and that I want to change it again. No, no, no.
"Do how do you keep your data organized, then, if everything is such a mess??" I hear you shout. Well, that is a good question for which I have two solutions: one is that I keep pretty okay comments in the modules themselves (some of the older ones, not so much) which allow me to simply open an effect's module and look up how to supply data for each argument, and in what format, and the other, which is a large, single text file that gives a sample for a specific module and lists off what each element in that sample is for. The sample is always functional, so I can copy and paste it into the map's data file and simply revise the values and delete the copied descriptions when everything is in place! (Another problem with revising old data structures is that I would have to update all of my documentation, as well, and although this is by far the least taxing element of the job compared to updating old data and subsequent debugging, it is just another time-consuming thing I would have to dedicate time to doing. And I would really rather work on content than play with argument sequences. <_<;)
Anyway, at the end of the day, all of the effects and sprite data for every map is stored as plain text in a regular text file where I can view it, alter and adjust it, and repair (and create) problems manually; the editor does not handle every element of map design and there are a few things I can only revise by intervening directly in the map file, and that is fine because I would rather not spend those additional hours creating elements in the editor just to modify an effect that I use only rarely. But I still need to load and save those values, and what makes this complicated is the way Python handles data. I use the native ConfigParser module to load text data into the editor, and the data, when it arrives, arrives entirely as text string objects. This is fine for data that I do not need or want to edit using the software editor-- these elements can be preserved as strings in a block of 'options' (the name of a data element saved in a ConfigParser 'section') and 'values' (the data itself), then saved out verbatim when the work is done, because the editor does not need to understand the content, it only needs to remember it. Editable values are much more sophisticated because they have to be converted from strings to whatever their intended format should be, then put into a place where the editor can access and revise it. For tiles, this is easy: all of the tiles are laid out in a 2D array (actually a list of lists) and changing it is as easy as looking up the correct coordinates, then changing the value(s) stored there. Things like sprites and effect zones and moving background images are considerably harder, since, unlike a tile, each object will have more than just a single number to describe it..
Consider the example of a map prop I call a "Burncard." The name comes from an older map element that the idea is derived from, a "Postcard." Postcards are simple moving background (and foreground) objects whose location varies independently of the map, usually varying with the location of the player (actually, the center of the player's view of the map). With Postcards, I can add parallax effects and background objects and collections of graphics like clouds and mountains (as seen in post No.017) without too much fuss. Postcards, though, are still fairly complex objects and require some processing power to maintain as long as they appear on screen (many are not rendered when the player "isn't looking," though, and that was not so easy to pull off), and if the Postcard is not intended to move independently from the map (it has no parallax-adjusted motion), then to use a Postcard would be wasteful. Enter the Burncard: a Postcard which is 'burned' to the map during its initial rendering! Because tiles are all drawn to a single surface on load (the player then views a portion of this surface) rather than redrawn every single frame, I can simply throw these static props in on top of the tiles instead of redrawing them every frame! This way, the software has less to keep track of while the game is running, at the expense of an only trivially prolonged load-phase when the graphics are 'burnt' to the tile layers!
What makes Burncards more complicated is the fact that they have a number of attributes besides the address of their source files and coordinates for where they ought to be drawn on the map: they can have colour gels, they may be scaled or flipped, many are applied to different graphic layers, and they often have to be placed in a specific order when multiple Burncards overlaid atop eachother on the same layer. And all of that data has to be stored and manipulated, then converted to text data and pushed out into a file during save, and restored from that text data when editing resumes or the game parses the file for use. Burncards are pretty complex! To handle all these different parameters, Burncards are edited as "objects," a sort of programmatic Rolodex card created from a template and put into a collection tracked by the editor. When I load, the text data is converted from strings into whatever data type they look most like to Python (I made a tool to help with this using ast.literal_eval and used it to extend SafeConfigParser, for those of you in-the-know) and puts them into their appropriate attribute slots in a Burncard object according to the sequence in which the parameters are listed or using specifically-named elements in the data, and puts all those objects into a dictionary I can flip through and edit as needed. When the work is done, the editor goes through that entire dictionary, object-by-object, and converts the attributes back into text strings according to their content, stacks them up in the correct sequences, and puts all that data into a long, carefully-formatted block of text that ConfigParser can save out to a file. It's really handy! But if a single character is mislaid, I have to rummage through it to see what went wrong...
The lamp post in this screen capture is a Burncard! So is the log, the tree trunk at left, the bramble at the base of the lamp and the sapling just to the right across the trail, and the grass clumps in the fore- and background. Letâs see what the lamp looks like in the editor..
Here it is, ready to be changed! The background scenery is actually a Postcard, which the editor does not handle.
This is what it looks like to have the lamp selected, and if I click the "CURRENT TILE" sample..
..I come to this pane! Making this interface was a pain, let me tell you, and there are a few bits that do not quite function as they ought to, but I learned an awful lot in the attempt, and so far, it does everything I *need* it to..
..At the end of the day, the whole thing is saved out to a simple line of text. Here it is! (This line shows just the lamp. Notice how it appears twice on this map!)
For ever editable object, I have created some kind of small interface and data processing system, and although I would have certainly changed some things if I knew when I started what I know now, I am still content with how it has gone so far. Which is good because the damn this has probably taken longer to make than the game-proper. >:1
All said, this editor has delivered some really great effects and saved a lot of time, even if I have had to invest a lot of energy in it just to get this far, and even if there is still much work that yet awaits me.
It's a good editor, for something that I made myself without knowing at all what I was doing! It may not produce effects as complex as Unreal Editor but I happen to think it's much more elegant. (It also at least attempts to save my work when it crashes!)
Anyhow, this is all far too much text for a weekly post, so I will leave things there for now. Thank you for taking an interest in my editor, and for reading all the way to the end! :D
See you next week!
#longpost#inform#development#pygame#python#configparser#map editor#mappos#props#opark forest#assets#visual effects#game development
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A straight-to-the-point Python course to quickly get you started with writing Python code and creating Python programs.
What youâll learn
Gain the skills to independently write real world non-complex programs.
Learn how to quickly set up a Python environment with its associated libraries
Learn to perform various batch operations
Write small Python programs integrating the fundamental blocks of the language
Write a complete Python program that takes user input, processes and outputs the results
Create a graphical user interfaces for your Python programs using the Python Tkinter library
Create a final executable that runs as a standalone program both on Windows and Mac
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Map data from CSV files to Google Earth KML files.
Requirements
A working computer (Windows, Mac, or Linux)
No prior knowledge of Python is required
Description
This Python course will get you up and running with Python very quickly saving you time spent googling for video tutorials, exercises and examples. The course has it all. It first covers Python basics and then teaches you how to use that code to build some real example programs.
The course is ideal for those who havenât programmed before, but it also works for experienced programmers who want to learn Python as long as they donât get offended by a bit of extra explanations of programming concepts.
You will start from scratch by learning all Python fundamentals and slowly progressing into more advanced Python third-party libraries and by the end of the course you will know how to write Python programs. You will actually build your a real Python program that has a graphical user interface (GUI) built with Python. As a bonus you will also learn how to convert that program into an executable that runs both on Windows and Mac as a standalone program so that you can give your program to anyone.
The course also guides you on how to go about building even more advanced programs with Python. You will learn how to use Python third party libraries for building programs in a wide range of application areas.
This is not simply a tutorial. The content of the course consists of a mix of video lectures, quizzes, exercises, and discussions with the instructor and the fellow students giving you a complete package to help you become a professional Python programmer.
Who this course is for:
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The post Python for Beginners with Examples appeared first on Free Course Lab.
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PySimpleGui Beginners-Day 3
PySimpleGui Beginners-Day 3. On day three I converted another of my simple Tkinter programs to PySimpleGUI, and after that I converted the PSG version to a web app.
PySimpleGui Beginners-Day Three
Two Conversions
For Day Three I am going to convert another one of my simple Tkinter programs to PySimpleGUI, and after that I am going to convert that PSG conversion to a PSG web app.
 I have decided against doing a full step by step explanation of the conversion from Tkinter to PSG, like I did in Day two.
For one, it could get boring, as there are a lot of sgeâŠ
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[Udemy] Python for Beginners with Examples
A straight-to-the-point Python course to quickly get you started with writing Python code and creating Python programs. What Will I Learn? Gain the skills to independently write real world non-complex programs. Learn how to quickly set up a Python environment with its associated libraries Learn to perform various batch operations Write small Python programs integrating the fundamental blocks of the language Write a complete Python program that takes user input, processes and outputs the results Create a graphical user interfaces for your Python programs using the Python Tkinter library Create a final executable that runs as a standalone program both on Windows and Mac Be able to load and use data from CSV and TXT files in Python Map data from CSV files to Google Earth KML files. Requirements A working computer (Windows, Mac, or Linux) No prior knowledge of Python is required Description This Python course will get you up and running with Python very quickly saving you time spent googling for video tutorials, exercises and examples. The course has it all. It first covers Python basics and then teaches you how to use that code to build some real example programs. The course is ideal for those who havenât programmed before, but it also works for experienced programmers who want to learn Python as long as they donât get offended by a bit of extra explanations of programming concepts. You will start from scratch by learning all Python fundamentals and slowly progressing into more advanced Python third-party libraries and by the end of the course you will know how to write Python programs. You will actually build your a real Python program that has a graphical user interface (GUI) built with Python. As a bonus you will also learn how to convert that program into an executable that runs both on Windows and Mac as a standalone program so that you can give your program to anyone. The course also guides you on how to go about building even more advanced programs with Python. You will learn how to use Python third party libraries for building programs in a wide range of application areas. This is not simply a tutorial. The content of the course consists of a mix of video lectures, quizzes, exercises, and discussions with the instructor and the fellow students giving you a complete package to help you become a professional Python programmer. Who is the target audience? Those who donât know where to start with learning Python. Those who want to use Python regardless of the technology field they want to apply the language to. Those who need a complete guide on how to start and continue their career with Python. source https://ttorial.com/python-beginners-examples
source https://ttorialcom.tumblr.com/post/179187859448
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[Udemy] Python for Beginners with Examples
A straight-to-the-point Python course to quickly get you started with writing Python code and creating Python programs. What Will I Learn? Gain the skills to independently write real world non-complex programs. Learn how to quickly set up a Python environment with its associated libraries Learn to perform various batch operations Write small Python programs integrating the fundamental blocks of the language Write a complete Python program that takes user input, processes and outputs the results Create a graphical user interfaces for your Python programs using the Python Tkinter library Create a final executable that runs as a standalone program both on Windows and Mac Be able to load and use data from CSV and TXT files in Python Map data from CSV files to Google Earth KML files. Requirements A working computer (Windows, Mac, or Linux) No prior knowledge of Python is required Description This Python course will get you up and running with Python very quickly saving you time spent googling for video tutorials, exercises and examples. The course has it all. It first covers Python basics and then teaches you how to use that code to build some real example programs. The course is ideal for those who haven't programmed before, but it also works for experienced programmers who want to learn Python as long as they don't get offended by a bit of extra explanations of programming concepts. You will start from scratch by learning all Python fundamentals and slowly progressing into more advanced Python third-party libraries and by the end of the course you will know how to write Python programs. You will actually build your a real Python program that has a graphical user interface (GUI) built with Python. As a bonus you will also learn how to convert that program into an executable that runs both on Windows and Mac as a standalone program so that you can give your program to anyone. The course also guides you on how to go about building even more advanced programs with Python. You will learn how to use Python third party libraries for building programs in a wide range of application areas. This is not simply a tutorial. The content of the course consists of a mix of video lectures, quizzes, exercises, and discussions with the instructor and the fellow students giving you a complete package to help you become a professional Python programmer. Who is the target audience? Those who don't know where to start with learning Python. Those who want to use Python regardless of the technology field they want to apply the language to. Those who need a complete guide on how to start and continue their career with Python. source https://ttorial.com/python-beginners-examples
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Python Tutorial
 Python Tutorial Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming la  Python Overview Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is d Python Environment Setup Python is available on a wide variety of platforms including Linux and Mac OS X. Let's understand ho Python Basic Syntax The Python language has many similarities to Perl, C, and Java. However, there are some definite dif Python Variable Types Variables are nothing but reserved memory locations to store values. This means that when you create Python Basic Operators Operators are the constructs which can manipulate the value of operands.Consider the expression 4 + Python Decision Making Decision making is anticipation of conditions occurring while execution of the program and specifyin Python Loops n general, statements are executed sequentially: The first statement in a function is executed first Python Numbers Number data types store numeric values. They are immutable data types, means that changing the value Python Strings Strings are amongst the most popular types in Python. We can create them simply by enclosing charact Python Lists The most basic data structure in Python is the sequence. Each element of a sequence is assigned Python Tuples A tuple is a sequence of immutable Python objects. Tuples are sequences, just like lists. The differ Python Dictionary Each key is separated from its value by a colon (:), the items are separated by commas, and the whol Python Date and Time A Python program can handle date and time in several ways. Converting between date formats is a comm Python Functions A function is a block of organized, reusable code that is used to perform a single, related action. Python Modules A module allows you to logically organize your Python code. Grouping related code into a module make Python Files I/O This chapter covers all the basic I/O functions available in Python. For more functions, please refe Python Exceptions Handling Python provides two very important features to handle any unexpected error in your Python programs a Python Object Oriented Python has been an object-oriented language since it existed. Because of this, creating and using cl Python Regular Expressions A regular expression is a special sequence of characters that helps you match or find othe  Python CGI Programming The Common Gateway Interface, or CGI, is a set of standards that define how information is exchanged Python MySQL Database Access The Python standard for database interfaces is the Python DB-API. Most Python database interfaces ad Python Networking Programming Python provides two levels of access to network services. At a low level, you can access the basic s Python Sending Email using SMTP Simple Mail Transfer Protocol (SMTP) is a protocol, which handles sending e-mail and routing e-mail Python Multithreaded Programming Running several threads is similar to running several different programs concurrently, but with the Python XML Processing XML is a portable, open source language that allows programmers to develop applications that can be Python GUI Programming (Tkinter) Python provides various options for developing graphical user interfaces (GUIs). Most important are Python Extension Programming with C Any code that you write using any compiled language like C, C++, or Java can be integrated or import Python Questions and Answers - Lifexasy Python Questions and Answers has been designed with a special intention of helping students and Read the full article
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