Python for Data Analysts

𝐅𝐑𝐄𝐄 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐎𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 😍  Know The Roadmap To a Successful Data Science Career  Become A Data Scientist Without Any Experience In 3 Months Eligibility :- Students,Freshers & Woking Professionals  𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-  https://bit.ly/4hsVlSs (Limited Slots ..HurryUp🏃‍♂️ )  𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:-  January 25, 2025, at 7 PM

Check out the list of top 10 Python projects on GitHub given below. 1. Magenta: Explore the artist inside you with this python project. A Google Brain’s brainchild, it leverages deep learning and reinforcement learning algorithms to create drawings, music, and other similar artistic products. 2. Photon: Designing web crawlers can be fun with the Photon project. It is a fast crawler designed for open-source intelligence tools. Photon project helps you perform data crawling functions, which include extracting data from URLs, e-mails, social media accounts, XML and pdf files, and Amazon buckets. 3. Mail Pile: Want to learn some encrypting tricks? This project on GitHub can help you learn to send and receive PGP encrypted electronic mails. Powered by Bayesian classifiers, it is capable of automatic tagging and handling huge volumes of email data, all organized in a clean web interface. 4. XS Strike: XS Strike helps you design a vulnerability to check your network’s security. It is a security suite developed to detect vulnerability attacks. XSS attacks inject malicious scripts into web pages. XSS’s features include four handwritten parsers, a payload generator, a fuzzing engine, and a fast crawler. 5. Google Images Download: It is a script that looks for keywords and phrases to optionally download the image files. All you need to do is, replicate the source code of this project to get a sense of how it works in practice. 6. Pandas Project: Pandas library is a collection of data structures that can be used for flexible data analysis and data manipulation. Compared to other libraries, its flexibility, intuitiveness, and automated data manipulation processes make it a better choice for data manipulation. 7. Xonsh: Used for designing interactive applications without the need for command-line interpreters like Unix. It is a Python-powered Shell language that commands promptly. An easily scriptable application that comes with a standard library, and various types of variables and has its own virtual environment management system. 8. Manim: The Mathematical Animation Engine, Manim, can create video explainers. Using Python 3.7, it produces animated videos, with added illustrations and display graphs. Its source code is freely available on GitHub and for tutorials and installation guides, you can refer to their 3Blue1Brown YouTube channel. 9. AI Basketball Analysis: It is an artificial intelligence application that analyses basketball shots using an object detection concept. All you need to do is upload the files or submit them as a post requests to the API. Then the OpenPose library carries out the calculations to generate the results. 10. Rebound: A great project to put Python to use in building Stackoverflow content, this tool is built on the Urwid console user interface, and solves compiler errors. Using this tool, you can learn how the Beautiful Soup package scrapes StackOverflow and how subprocesses work to find compiler errors.

Python Roadmap

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀! 🚀💻 Supercharge your career with 5 FREE Microsoft certification courses to boost your data analytics skills! 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :- https://bit.ly/3Vlixcq Earn certifications to showcase your skills Don’t wait—start your journey to success today! ✨

𝐓𝐨𝐩 𝐌𝐍𝐂𝐬 & 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐇𝐢𝐫𝐢𝐧𝐠 🔥 Roles Hiring:-  - Data Analyst - Data Engineer - SQL Developer - Python Developers - Software Engineer  - Web Developers - Data Scientist  Salary Range :- 6 To 24LPA  𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰👇:-   https://openinapp.link/FreeJobs Enter your experience & Complete The Registration Process Select the company name & apply for jobs

Python List Methods

Official Python Docs https://docs.python.org/3/ Tools: http://docs.python-guide.org/en/latest/dev/virtualenvs/ http://www.pythonforbeginners.com/basics/python-pip-usage Practice: http://www.practicepython.org/ https://www.hackerrank.com https://wiki.python.org/moin/PythonDecorators Python GUI FAQ https://docs.python.org/3/faq/gui.html

𝗧𝗖𝗦 𝗶𝗢𝗡 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Why spend money on certifications when TCS is offering them for free?  These free certifications can give your resume the boost it needs to stand out and help you crush any job interview. 𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/3PHzoD5 Enroll For FREE & Get Certified🎓

Hey guys, Since many of you were asking me to send Free Sessions on Business Analysis 📌So we have come with a FREE webinar for you!! 👨🏻‍💻 👩🏻‍💻 REGISTER HERE 👇👇 https://link.guvi.in/SQLspecialist01398 This will help you to speed up your job hunting process 💪 ENJOY LEARNING 👍👍

List Comprehension in Python

𝐅𝐑𝐄𝐄 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐎𝐧 𝐀𝐈/𝐌𝐋😍 Kickstart a rewarding Artificial Intelligence & Machine Learning career Roadmap to Become a successful AI & ML engineer!   Eligibility :- Students ,Freshers & Working Professionals  𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-  https://bit.ly/3Wnz1BG (Limited Slots ..HurryUp🏃‍♂️ )  𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- January 24, 2025, at 7 PM

Some useful PYTHON libraries for data science NumPy stands for Numerical Python. The most powerful feature of NumPy is n-dimensional array. This library also contains basic linear algebra functions, Fourier transforms,  advanced random number capabilities and tools for integration with other low level languages like Fortran, C and C++ SciPy stands for Scientific Python. SciPy is built on NumPy. It is one of the most useful library for variety of high level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization and Sparse matrices. Matplotlib for plotting vast variety of graphs, starting from histograms to line plots to heat plots.. You can use Pylab feature in ipython notebook (ipython notebook –pylab = inline) to use these plotting features inline. If you ignore the inline option, then pylab converts ipython environment to an environment, very similar to Matlab. You can also use Latex commands to add math to your plot. Pandas for structured data operations and manipulations. It is extensively used for data munging and preparation. Pandas were added relatively recently to Python and have been instrumental in boosting Python’s usage in data scientist community. Scikit Learn for machine learning. Built on NumPy, SciPy and matplotlib, this library contains a lot of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction. Statsmodels for statistical modeling. Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests. An extensive list of descriptive statistics, statistical tests, plotting functions, and result statistics are available for different types of data and each estimator. Seaborn for statistical data visualization. Seaborn is a library for making attractive and informative statistical graphics in Python. It is based on matplotlib. Seaborn aims to make visualization a central part of exploring and understanding data. Bokeh for creating interactive plots, dashboards and data applications on modern web-browsers. It empowers the user to generate elegant and concise graphics in the style of D3.js. Moreover, it has the capability of high-performance interactivity over very large or streaming datasets. Blaze for extending the capability of Numpy and Pandas to distributed and streaming datasets. It can be used to access data from a multitude of sources including Bcolz, MongoDB, SQLAlchemy, Apache Spark, PyTables, etc. Together with Bokeh, Blaze can act as a very powerful tool for creating effective visualizations and dashboards on huge chunks of data. Scrapy for web crawling. It is a very useful framework for getting specific patterns of data. It has the capability to start at a website home url and then dig through web-pages within the website to gather information. SymPy for symbolic computation. It has wide-ranging capabilities from basic symbolic arithmetic to calculus, algebra, discrete mathematics and quantum physics. Another useful feature is the capability of formatting the result of the computations as LaTeX code. Requests for accessing the web. It works similar to the the standard python library urllib2 but is much easier to code. You will find subtle differences with urllib2 but for beginners, Requests might be more convenient. Additional libraries, you might need: os for Operating system and file operations networkx and igraph for graph based data manipulations regular expressions for finding patterns in text data BeautifulSoup for scrapping web. It is inferior to Scrapy as it will extract information from just a single webpage in a run.

𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 - AI Prompt Engineering - Python for Data Science - SQL Relational Database - Data Science Fundamentals - Introduction to Cloud -  Machine Learning with Python   𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/40fuHFq Enroll For FREE & Get Certified🎓

𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 (𝗡𝗼 𝗦𝘁𝗿𝗶𝗻𝗴𝘀 𝗔𝘁𝘁𝗮𝗰𝗵𝗲𝗱) 𝗡𝗼 𝗳𝗮𝗻𝗰𝘆 𝗰𝗼𝘂𝗿𝘀𝗲𝘀, 𝗻𝗼 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀, 𝗷𝘂𝘀𝘁 𝗽𝘂𝗿𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴. 𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘: 1️⃣ Python Programming for Data Science → Harvard’s CS50P The best intro to Python for absolute beginners: ↬ Covers loops, data structures, and practical exercises. ↬ Designed to help you build foundational coding skills. Link: https://cs50.harvard.edu/python/ https://t.me/datasciencefun 2️⃣ Statistics & Probability → Khan Academy Want to master probability, distributions, and hypothesis testing? This is where to start: ↬ Clear, beginner-friendly videos. ↬ Exercises to test your skills. Link: https://www.khanacademy.org/math/statistics-probability https://whatsapp.com/channel/0029Vat3Dc4KAwEcfFbNnZ3O 3️⃣ Linear Algebra for Data Science → 3Blue1Brown ↬ Learn about matrices, vectors, and transformations. ↬ Essential for machine learning models. Link: https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9KzVk3AjplI5PYPxkUr 4️⃣ SQL Basics → Mode Analytics SQL is the backbone of data manipulation. This tutorial covers: ↬ Writing queries, joins, and filtering data. ↬ Real-world datasets to practice. Link: https://mode.com/sql-tutorial https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v 5️⃣ Data Visualization → freeCodeCamp Learn to create stunning visualizations using Python libraries: ↬ Covers Matplotlib, Seaborn, and Plotly. ↬ Step-by-step projects included. Link: https://www.youtube.com/watch?v=JLzTJhC2DZg https://whatsapp.com/channel/0029VaxaFzoEQIaujB31SO34 6️⃣ Machine Learning Basics → Google’s Machine Learning Crash Course An in-depth introduction to machine learning for beginners: ↬ Learn supervised and unsupervised learning. ↬ Hands-on coding with TensorFlow. Link: https://developers.google.com/machine-learning/crash-course 7️⃣ Deep Learning → Fast.ai’s Free Course Fast.ai makes deep learning easy and accessible: ↬ Build neural networks with PyTorch. ↬ Learn by coding real projects. Link: https://course.fast.ai/ 8️⃣ Data Science Projects → Kaggle ↬ Compete in challenges to practice your skills. ↬ Great way to build your portfolio. Link: https://www.kaggle.com/

Free Resources only for Indian Users 👇👇 https://chat.whatsapp.com/HncVDT1qOi7CoyJ3xxYtP4

𝗖𝗜𝗦𝗖𝗢 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 - Data Analytics - Data Science  - Python - Javascript - Cybersecurity   𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/4fYr1xO Enroll For FREE & Get Certified🎓

Python Game Development Roadmap Stage 1 - Learn Python basics (syntax, OOP). Stage 2 - Study game physics and logic fundamentals. Stage 3 - Use Pygame to prototype 2D games. Stage 4 - Add input systems (controllers, keyboard, mouse). Stage 5 - Add sound effects with PyGame Mixer. Stage 6 - Explore OpenGL or Panda3D for 3D games. Stage 7 - Add visual effects (shaders, lighting). Stage 8 - Package and distribute games with tools like cx_Freeze or PyInstaller. 🏆 – Python Game Developer

𝐀𝐦𝐚𝐳𝐨𝐧 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍 Learn AI for free with Amazon's incredible courses! These courses are perfect to upskill in AI and kickstart your journey in this revolutionary field. 𝐋𝐢𝐧𝐤 👇:- https://bit.ly/3CUBpZw Don’t miss out—enroll today and unlock new career opportunities! 💻📈

Data Analysis using Python

𝗦𝗢𝗡𝗬 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗪𝗼𝗿𝗸 𝗙𝗿𝗼𝗺 𝗛𝗼𝗺𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽😍 Role:- Data Science Intern Education: Bachelor’s or Masters degree Internship Start Date:- first week of February 2025. Salary:- Upto Rs.50,000/Month 𝐀𝐩𝐩𝐥𝐲 𝐧𝐨𝐰👇:- https://pdlink.in/4hjMrq6 Apply before the link expires