python-checklist.txt

Python fluency Checklist with Practical Projects

Only topics that you need to practice to get to an advanced level in Python.Nothing more,
        Nothing less.


Variables
=========
1. Introduction to Variables
  There are several types of variables like Scalar variables which contains Integer, float and many
                        other variable sub types.
                        Variables help us to store information which we can then use in a program.
  Links (2): https://iq.opengenus.org/scalar-variable-types-in-python/, https://iq.opengenus.org/integer-in-python/

---

Control Flow
============
1. If-else statements
  If-else
                            statements help us to check whether certain
                        conditions are met or not. Code inside the if statement only runs when the
                        if condition is true.
                        Otherwise, the code inside the else condition runs.
  Links (1): https://iq.opengenus.org/if-else-python/
2. While loops
  While loops
                        run
                        the code inside them repeatedly as long as the while condition evaluates to true. When the
                        condition evaluates to false, the code inside the while loop stops running.
  Links (1): https://iq.opengenus.org/while-loop-python/
3. For Loops
  When we want to run our code for a specific number of times, we use for
                            loops. We can also use these loops for many other purposes.
  Links (1): https://iq.opengenus.org/for-loop-python/
4. is and is not operators in Python
  The is
                            and is not operators help in comparing values and objects in our programs.
  Links (1): https://iq.opengenus.org/boolean-and-none-python/

---

Functions
=========
1. Introduction to Functions
  Instead of writing the same code repeatedly, we can create
                        
                            functions and use them whenever we need to throughout the program. This
                        saves time in writing code. Functions also sometimes require the use of
                        arguments which we need to pass into the function.
  Links (2): https://iq.opengenus.org/functions-in-python/, https://iq.opengenus.org/python-function-arguments/
2. Variable and Function Scope
  Whether we can access a variable throughout the program depends on its
                            scope. This has important implications whenever we create any program. The
                        same logic applies when we create any function.
                        One of the most commonly used functions is the 
                            range  function. The i
                        variable in this function is always local-scoped.
  Links (3): https://iq.opengenus.org/python-variable-scope/, https://iq.opengenus.org/function-scope-in-python/, https://iq.opengenus.org/range-function-python/
3. Lambda Functions
  Generally, we have to name our functions to use them. But we can also create nameless functions,
                        also known as anonymous functions. In Python, we call them
                            Lambda
                            functions. We can also use these to shorten statements like if-else.
  Links (2): https://iq.opengenus.org/lambda-function-python/, https://iq.opengenus.org/python-lambda-if-else/

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Modules
=======
1. What are modules?
  For any task like data analysis, machine learning, image or audio
                        processing etc, specifically created and grouped utilities and functions exist, which we call as
                        libraries. In Python, we call them modules. Many Python modules exist for a variety of
                        purposes. An example of a module is the Random module, which
                        generates random values in our programs.
  Links (2): https://iq.opengenus.org/module-in-python/, https://iq.opengenus.org/python-random-module/

---

Classes
=======
1. Introduction to Classes and Objects
  Classes
                        are like templates for creating objects in Python. What are objects? Every element in Python is
                        an object. Every object is an instance of some class. The concept of
                        class variable
                        discusses this in brief.
  Links (2): https://iq.opengenus.org/classes-in-python/, https://iq.opengenus.org/static-class-variable-in-python/
2. Abstraction
  Abstraction helps us to represent objects in our programs with the required essential features
                        and without unnecessary details. Abstract classes
                         help us use abstraction in our programs.
  Links (1): https://iq.opengenus.org/abstract-base-class-in-python/
3. Decorators
  We can alter how classes or functions work in our programs using Decorators in Python.
  Links (1): https://iq.opengenus.org/decorators-in-python/
4. Descriptors
  As classes may have different class attributes, Descriptors help to create, control and manage such attributes.
  Links (1): https://iq.opengenus.org/descriptors-in-python/

---

Data Structures
===============
1. Lists
  Data structures like lists store objects of different data types together in
                        one place. We can also access and change items inside lists using indexing.
  Links (2): https://iq.opengenus.org/lists-in-python/, https://iq.opengenus.org/negative-index-in-python/
2. Arrays
  Arrays
                        store objects of the same data type, which we can access later on in our programs.
  Links (1): https://iq.opengenus.org/array-in-python/
3. Tuples
  We can store multiple objects inside Tuples. Once we put items inside a tuple,
                        we cannot change them.
  Links (1): https://iq.opengenus.org/tuple-python/
4. Dictionaries
  We can store information in key-value pairs using dictionaries. Like lists, we can also access and change items inside
                        them.
  Links (1): https://iq.opengenus.org/dictionary-python/
5. Set
  Sets help
                        us store information like lists, the difference being that we
                        cannot put duplicate values inside them. Also, sets will automatically
                        sort the data we put inside them.
  Links (1): https://iq.opengenus.org/set-in-python/
6. Deque
  Double Ended Queue, also known as  Deque, helps us store information which we can then
                        modify from both sides of the queue, from the start or end.
  Links (1): https://iq.opengenus.org/deque-python/
7. Mutable and Immutable Objects
  When we can modify objects, we call them mutable. Otherwise, we call them immutable. We have to
                        design our programs carefully with a proper knowledge of mutable and immutable objects.
  Links (1): https://iq.opengenus.org/mutable-and-immutable-in-python/
8. Create a custom Binary Tree structure
  Binary trees are a popular data structure used widely in many applications. Learn how to create
                        a binary tree in Python.
  Links (1): https://iq.opengenus.org/implement-binary-tree-in-python/

---

Regular Expressions
===================
1. Introduction to Regular Expressions
  Regular
                            expressions help us to match or search for a particular pattern
                        in data. We can also use these to shorten our code.
  Links (1): https://iq.opengenus.org/regex-python/

---

Unit Testing
============
1. Introduction to Unit Testing
  For bug-free code, test driven development is of vital importance. Unit Testing helps us to test individual components in our program and
                        ensure that it's error-free.
  Links (1): https://iq.opengenus.org/unit-testing-in-python-with-unittest/

---

NumPy Library
=============
1. Arrays in NumPy
  Learn how to create arrays in NumPy and get a firm grasp on 2-D
                            arrays. Also learn how to display NumPy arrays as Images.
  Links (3): https://iq.opengenus.org/create-numpy-arrays/, https://iq.opengenus.org/2d-array-in-numpy//, https://iq.opengenus.org/display-numpy-array-as-image/
2. Array and Matrix Manipulation
  NumPy allows you to round numbers in matrices. Learn how to round elements of a matrix in NumPy. Also learn how to find absolute sum of elements in a matrix. Get a grasp on performing matrix multiplication and matrix multiplication by a scalar. Finally, learn about vector norm method in NumPy, which is widely used for machine learning.
  Links (5): https://iq.opengenus.org/round-elements-in-numpy-matrix/, https://iq.opengenus.org/absolute-sum-of-elements-in-numpy-matrix/, https://iq.opengenus.org/matrix-multiplication-in-python/, https://iq.opengenus.org/numpy-matrix-multiply-by-scalar/, https://iq.opengenus.org/norm-method-of-numpy-in-python/
3. Errors in NumPy
  Running into errors is pretty common in programming. Learn how to solve the TypeError: only integer scalar arrays can be converted to a scalar index
                        and the RuntimeError: module compiled against api version 0x10 but
                            this version of
                            numpy is 0xe in NumPy.
  Links (2): https://iq.opengenus.org/integer-scalar-array-index-error/, https://iq.opengenus.org/module-compiled-against-api-version-0x10-but-this-version-of-numpy-is-0xe/

---

Python Interview Questions
==========================
1. Median of Two Sorted Arrays
  Median of two sorted arrays is a common problem that uses basic
                        algorithmic thinking concepts.
                        Learn how solve it using different approaches and using the binary search method.
  Links (2): https://iq.opengenus.org/median-of-two-sorted-arrays/, https://iq.opengenus.org/binary-search-algorithm/
2. Longest substring without repeating characters
  Longest substring without repeating characters  is an important algorithm which teaches
                        practical applications of dictionaries and loops in Python.
  Links (1): https://iq.opengenus.org/longest-substring-without-repeating-characters/
3. Merge K sorted Linked Lists
  The concepts of classes and functions find their applications in the merge K
                            sorted linked lists algorithm. It also teaches how to use a heap (a type of binary tree)
                        data structure in Python.
  Links (1): https://iq.opengenus.org/merge-k-sorted-linked-lists/
4. Intersection of two arrays
  The algorithm of intersection of two arrays teaches how to use lists in python for
                        effective problem solving.
  Links (1): https://iq.opengenus.org/intersection-of-two-arrays/
5. Predict the Output Questions
  Test your knowledge of Python with over 50 Predict the Output Python interview questions.
  Links (1): https://iq.opengenus.org/python-predict-output/
6. Lambda Questions
  Lambda functions offer a simple way to create anonymous functions in Python. Find your knowledge
                        gaps and practice using over 40 Lambda interview questions in Python.
  Links (1): https://iq.opengenus.org/lambda-interview-qna-in-python/
7. NumPy Questions
  NumPy is a vital Python library for machine learning, scientific computing, and
                        data analysis purposes.
                        Evalute your NumPy skills with a comprehensive list of Numpy interview questions.
  Links (1): https://iq.opengenus.org/interview-questions-on-numpy/

---

Scripts
=======
1. Open CSV files in Python
  For daily data or analysis tasks working with CSV files in Python is a handy tool.
  Links (1): https://iq.opengenus.org/csv-files-in-python/
2. Convert PDF to Image
  Learn how to convert PDF to image in
                        Python and gain an understanding of an image library.
  Links (1): https://iq.opengenus.org/pdf_to_image_in_python/
3. Convert video to images
  Build a simple video to images converter in Python. Also learn how to
                        use the OpenCV library.
  Links (1): https://iq.opengenus.org/convert-video-to-images-in-python/
4. Create a script to search web using Google Custom Search API
  Improve your skills by creating a custom Python script to search the web using Google Custom Search API.
  Links (1): https://iq.opengenus.org/python-script-to-search-web/
5. Get IP Address
  Learn what public and private IP addresses are and create a script to get IP
                            address in Python.
  Links (1): https://iq.opengenus.org/ip-address-in-python/
6. Retweet recent tweets with a particular hashtag
  Learn about APIs and build a script to retweet recent tweets with a particular hashtag
                         on Twitter.
  Links (1): https://iq.opengenus.org/python-script-to-retweet-recent-tweets-with-a-particular-hashtag/
7. Post a tweet
  Create a python script to post your tweets
                         using twitter API.
  Links (1): https://iq.opengenus.org/tweet-using-twitter-api/
8. Get details on CPU and Ram Usage
  Implement a script in Python to get CPU and Ram Usage
                         details of your computer.
  Links (1): https://iq.opengenus.org/cpu-and-ram-usage-python/
9. Open Webpage and Login
  Learn how to open a webpage and log in
                         using Python and some other applications. Also learn about web scraping in brief.
  Links (1): https://iq.opengenus.org/python-script-to-open-webpage-login/
10. Refresh URL/Tab using Python
  Create a Python script to refresh any URL or tab
                         in your browser.
  Links (1): https://iq.opengenus.org/python-refresh-script/
11. Scroll on a webpage
  Understand how to simulate a scroll on any webpage
                         using Python.
  Links (1): https://iq.opengenus.org/python-script-to-scroll-on-webpage/
12. Control cursor using Python
  Learn how to build a Python script that can control your cursor
                        and simulate actions like click, drag etc.
  Links (1): https://iq.opengenus.org/python-script-to-control-cursor/
13. Control Keyboard using Python
  Implement a script in Python that can control a keyboard
                         and simulate typing.
  Links (1): https://iq.opengenus.org/python-script-to-control-keyboard/
14. Create a GitHub repository
  Learn how to create a github repository
                         using GitHub REST API.
  Links (1): https://iq.opengenus.org/create-github-repository-python/
15. Create GitHub issues
  Implement a script in Python to create github issues
                         and other actions like commenting, adding a label etc.
  Links (1): https://iq.opengenus.org/python-script-to-create-github-issues/
16. Get currency exchange rates
  Learn how to get currency exchange rates
                         and create a basic graph in Python.
  Links (1): https://iq.opengenus.org/python-script-to-get-currency-exchange-rates/
17. Create archive for large files
  Large files take up a lot of space and archiving each file can be tedious. Learn how to create an archive for large files
                         using Python scripting.
  Links (1): https://iq.opengenus.org/archive-for-large-files-python/
18. Read and write JSON file
  Accessing data objects requires handling of JSON files. Understand how to read and write JSON file
                         using Python.
  Links (1): https://iq.opengenus.org/python-script-to-read-and-write-json-file/
19. Send email in Gmail
  Learn how to send email in Gmail
                         using a Python script with the help of the Smtplib and the email
                        modules.
  Links (1): https://iq.opengenus.org/python-script-to-send-email-in-gmail/
20. Read email from Gmail
  Implement a script that can read any email from Gmail
                         using Python along with the email and the imaplib modules.
  Links (1): https://iq.opengenus.org/read-gmail-python/
21. Send file/attachments in Gmail
  Manually sending many files or attachments in Gmail may become time consuming. Learn how to send files and attachments in Gmail
                         using a script in Python.
  Links (1): https://iq.opengenus.org/send-file-attachment-in-gmail-in-python/
22. Generate Wiki Summary
  Learn how to generate a  summary of any Wikipedia article
                         using Python and the Wikipedia module.
  Links (1): https://iq.opengenus.org/generate-wiki-summary-python/
23. Send WhatsApp Message
  Understand how you can  send any WhatsApp message
                         using a Python script with the help of PyWhatKit library and Selenium web
                        driver tool.
  Links (1): https://iq.opengenus.org/python-script-to-send-whatsapp-message/
24. Send Bulk WhatsApp Messages
  You can also create a script send bulk WhatsApp messages
                         using Python. You will also use the PyWhatKit library along with Selenium and
                        the
                        ChromeDriver tool.
  Links (1): https://iq.opengenus.org/python-script-to-send-bulk-whatsapp-message/
25. Download files from Google Drive
  Learn how to download files from Google Drive
                         using Python and the Google Drive API.
  Links (1): https://iq.opengenus.org/google-drive-file-download-upload/
26. Get CO2 Emissions data
  Implement a script in Python to access  CO2 emissions data
                         using an API.
  Links (1): https://iq.opengenus.org/carbon-intensity-api/
27. Get Current Stock Price
  Learn how to get the current price of any stock
                         from Yahoo Finance using Python.
  Links (1): https://iq.opengenus.org/current-stock-price-in-python/
28. Wait for Page Load
  Implement a script to wait for any page to load
                         and simulate the loading time in Python.
  Links (1): https://iq.opengenus.org/wait-for-page-load-selenium-python/
29. Delete unused files
  Learn how to save space and create a script to delete files not accessed for a long time
                         using Python.
  Links (1): https://iq.opengenus.org/delete-not-recently-accessed-files-python/
30. Zip a File
  Understand how to create a script that zips any file
                         using Python along with the zipfile and the shutil modules.
  Links (1): https://iq.opengenus.org/ways-to-zip-file-using-python/

---

Projects
========
1. CRUD application using Django
  CRUD applications make use of basic functions of create, read, update and delete. These form the
                        building blocks of any application. Learn how to create a simple CRUD app in Python using the Django framework. Also gain an
                        understanding of the try-else statements.
  Links (2): https://iq.opengenus.org/crud-application-with-django/, https://iq.opengenus.org/try-else-in-python/
2. 2048 Game
  Learn how to create your own 2048 game. This will also give you a firm grasp on loops.
  Links (1): https://iq.opengenus.org/2048-in-python/
3. Flappy Bird Game
  Gain a conceptual understanding of programming and python concepts by building your own flappy
                            bird game.
  Links (1): https://iq.opengenus.org/flappy-bird-in-python/
4. Snake Game
  Get a firm grasp on the concept of classes and learn how to develop a snake
                            game using Python.
  Links (1): https://iq.opengenus.org/snake-game-in-python/
5. Minesweeper Game
  Implement your own version of the minesweeper game. Learn how to handle events using the
                        Tkinter module.
  Links (1): https://iq.opengenus.org/minesweeper-using-python/
6. Tic Tac Toe Game
  Learn how to build your own Tic Tac Toe game using Python. You will also learn about
                        getting input from users and error handling.
  Links (1): https://iq.opengenus.org/tic-tac-toe-game-in-python/
7. Command Line Countdown Timer
  Build on your understanding of object oriented programming by creating a command line countdown timer.
  Links (1): https://iq.opengenus.org/python-countdown-timer/
8. Typing Speed Test
  Learn how to create your own typing speed test right inside your terminal. Develop a
                        deeper understanding of the curses module.
  Links (1): https://iq.opengenus.org/typing-speed-test-in-python/
9. Simple Text Editor
  Create a simple text editor using Python with the help of the Tkinter
                        library.
  Links (1): https://iq.opengenus.org/text-editor-in-python/
10. Online C Code Compiler Using Flask
  Learn how to create an online C Code compiler using Flask. You will get a solid
                        grasp of the flask web framework, the subprocess module and the os
                        module.
  Links (1): https://iq.opengenus.org/online-c-code-compiler-flask/
11. Live Sketching App
  Build a live sketching app in Python using OpenCV
                        and NumPy
                        libraries.
  Links (1): https://iq.opengenus.org/developing-a-live-sketching-app-using-opencv-and-python/
12. Static webpage application using Flask
  Learn how to create a static webpage application using Flask. This project
                        also uses basic HTML, JavaScript and CSS knowledge.
  Links (1): https://iq.opengenus.org/static-webpage-flask-no-database/
13. Create Login Page using Flask
  Implement a basic version of a login page using Flask. Also learn how to use the
                        sessions extension in Flask.
  Links (1): https://iq.opengenus.org/login-page-in-flask/
14. Deploy a Python Web app on Heroku
  Deploying your apps is important so that others can interact with your project. Learn how to
                        deploy a simple Python Web app on Heroku.
  Links (1): https://iq.opengenus.org/deploy-python-web-app-on-heroku/
15. A Static Portfolio Website
  Learn how to create a static website for your portfolio using the Django
                        framework. This project also requires basic understanding of HTML and CSS.
  Links (1): https://iq.opengenus.org/static-portfolio-django/
16. File Hosting Service in Django
  Build a file hosting service in Django where you can upload your files and get a
                        link to share them.
  Links (1): https://iq.opengenus.org/file-hosting-service-in-django/
17. Reconstructing Face using PCA
  Learn how to reconstruct a face from a set of faces using PCA. Principal Component
                        Analysis (PCA) is a common machine learning technique used for handling large datasets and
                        deducing patterns from such datasets.
  Links (1): https://iq.opengenus.org/project-on-reconstructing-face/
18. Time Series Forecasting
  Python is widely used for forecasting and building data models. Learn how to perform time series forecasting using NIFTY50 stock market data and analyse
                        stock market trends of HDFC.
  Links (1): https://iq.opengenus.org/time-series-forecasting-using-python/
19. Time Series Classification
  Get a grasp on the topic of time series classification and create a time series classification project. Make use of Pandas,
                        NumPy and the
                        Sklearn libraries along with the Tsfresh Python package.
  Links (1): https://iq.opengenus.org/time-series-classification/
20. Predicting Air Pollution Levels
  Perform an analysis of the air pollution levels in New Delhi using Python and
                        Jupyter Notebook.
  Links (1): https://iq.opengenus.org/predicting-air-pollution-levels-part3/
21. EEG Signal Analysis
  EEG stands for Electroencephalography. It is a technique used to record brain activity,
                        and helpful in evaluating brain disorders. Learn how to perform EEG signal analysis with the help of the MNE-Python library.
  Links (1): https://iq.opengenus.org/eeg-signal-analysis-with-python/
22. Image Captioning using Keras
  Learn how to implement your own deep learning project by building an image captioning project using Keras. Keras is a popular API used for
                        deep learning projects.
  Links (1): https://iq.opengenus.org/image-captioning-using-keras/
23. Implement Document Clustering using K Means
  Get a practical understanding of document clustering
                        by implementing your own document clustering using K means project. You will use the popular
                        Scikit-Learn
                        machine learning library along with NumPy, Pandas and the
                        CSV module.
  Links (1): https://iq.opengenus.org/implement-document-clustering-python/
24. TextRank for Text Summarization
  In Natural Language Processing, TextRank is an important technique for producing document
                        summaries. Learn how to implement
                        textrank for text summarization using
                        modules like math and __future__ along with NumPy and
                        Summarizer
                        libraries.
  Links (1): https://iq.opengenus.org/textrank-for-text-summarization/
25. NLP Project: Compare Text Summarization Models
  Learn more about the concept of Text Summarization and build a project comparing text summarization models. You will use libraries like
                        Gensim,
                        Transformers, Pytorch, NLTK, Sumy and
                        Rouge along with
                        the
                        SentencePiece tokenizer and the
                        JSON module.
  Links (1): https://iq.opengenus.org/compare-text-summarization-models/
26. Flask Web App for a Machine Learning model
  Learn how to deploy a machine learning model by creating a web application using Flask. This project uses NumPy,
                        Pandas and the
                        Sklearn libraries along with the Pickle module.
  Links (1): https://iq.opengenus.org/web-app-ml-model-using-flask/
27. Differentiating Fake Faces using Simple ML and Computer Vision
  Fake images and deepfakes are a common problem on the internet. Learn how to differentiate fake faces using machine learning and computer vision.
                        This project uses Jupyter Notebook along with OpenCV, NumPy,
                        Matplotlib and Scikit-Learn
                        libraries.
  Links (1): https://iq.opengenus.org/differentiate-fake-faces-ml/
28. Build and Use an Image Denoising Autoencoder model in Keras
  Learn how to build an Image Denoising Autoencoder model using Python and
                        libraries like Keras, NumPy and Matplotlib.
  Links (1): https://iq.opengenus.org/image-denoising-autoencoder-keras/
29. Build ShuffleNet using Python
  Implement a neural network called ShuffleNet using Python. Utilize libraries and modules like 
                                Pytorch, NumPy, os, math, datetime, tqdm, tarfile, warning, Matplotlib and PIL.
  Links (1): https://iq.opengenus.org/shufflenet-implementation-using-pytorch/
30. Native Language Identification (NLI)
  In Natural Language Processing (NLP), NLI is an important concept. Get a grasp on NLI by
                        building a native language identification model that identifies the native language
                        of the author. This model makes use of the Sklearn library and the re
                        module for
                        regular expressions.
  Links (1): https://iq.opengenus.org/native-language-identification-dl/

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Generated by OpenGenus. Updated on 2023-12-28