296 digital products for Python

In this book, Interview Preparation and Interview Questions for DevOps and SRE, I tried to give you the points that you should read before going for an interview for SRE or DevOps. Don’t consider this a comprehensive book for reading about those topics. It is very important to know what you should read and the motive of the book is the same, this book is to give you pointers to what you read. It contains Interview questions for DevOps and site reliability engineering. Below is the content of the book. Linux Commands and Python Tricks Cloud Specific Questions Python Specific Questions System Design Programming Few programming practices to follow Basic Incident management Basic Troubleshooting Code review Tools in DevOps Things to read in Python are important Debugging tips and tools that you can use in bash Few words for you This book tries to cover the Interview questions and processes for companies like Linkedin, Atlassian, Visa, etc. The different chapters are different rounds that you can face in different companies. Interview preparation and interview questions for DevOps and SRE is a book that may be read before a week or two before your interviews and prepare for it. It is not a comprehensive book so whenever you stumble upon a term you are not aware of you have to search on the internet and then move ahead. About DevOps and SRE: DevOps and Site Reliability Engineers are in demand in the industry because as the scale or your production system increases you need people who can understand the importance of having good infrastructure and automation. There are a lot of shifts in the industry and software engineers tend to move towards DevOps or site reliability engineering in recent times. It can be a tough transition sometimes and you need to learn Linux systems and networking properly to be able to be successful in this field.

This is a complete, practitioner-level Inflation Derivatives Master Guide built for quants, traders, analysts, and aspirants targeting global banks and macro hedge funds. Covering the top 8 inflation products in-depth, this module combines intuition, mathematical rigor, modelling frameworks, CPI dynamics, and production-ready Python. What’s Inside • Zero-Coupon Inflation Swaps (ZCIS) with par-rate derivation • Year-on-Year Inflation Swaps and seasonality modelling • Inflation-Linked Bonds (TIPS/Linkers) with breakeven analysis • Zero-Coupon Caps/Floors with convexity adjustments • YoY Caps/Floors using Black76/lognormal CPI dynamics • CPI Forwards & fixing risk hedging • Inflation Range Accruals and digital decompositions • Inflation Swaptions with SABR and volatility structures Advanced Topics • CPI indexation, lag structures & seasonality factors • Convexity adjustments for forwards & YoY products • Monte Carlo frameworks for CPI paths • Real vs nominal yield curve interactions • Risk metrics: DV01, Vega, Gamma, Convexity • Practical trading strategies and P&L drivers Code Included Each product includes clean, runnable Python, covering: • ZCIS & YoY pricers • TIPS valuation & breakeven calculators • Cap/floor pricers with vol inputs • CPI forward functions with convexity • Swaption pricer with SABR volatility • Example sensitivities and simulations Interview Essentials • Key formula memory-tricks • Common mistakes aspirants make • Practical desk-style questions • Timeline diagrams and payoff visuals Special Offer Use coupon INFLATION10 to get 10% OFF instantly. Why This Guide Is Unique It blends: ✓ Beginner-friendly intuition ✓ Full mathematical depth ✓ Real trading-desk logic ✓ Institutional pricing techniques ✓ Robust Python implementations ✓ Interview-ready insights This module completes your multi-asset derivatives mastery. --- Use code INFLATION10 for 10% OFF (limited time). --- Disclaimer: This material is for educational purposes only and does not constitute financial advice, investment recommendations, or trading guidance. All examples, models, formulas, and Python code are simplified for instructional use and may not reflect full real-world market standards, liquidity, regulatory requirements, or risk considerations. Users must independently verify all assumptions before applying them in trading or pr oduction environments. Past examples do not guarantee future outcomes.

"In this program, you'll master a comprehensive range of skills from basic to advanced levels, including statistics, SQL, Snowflake, AWS, Azure, GCP, Power BI, Tableau, Excel, Python, NumPy, Pandas, and more! We also offer resume preparation and internship opportunities." Hope this helps in your job search journey... ! All the best guys !✌️ NOTE:THESE ARE RECORDED SESSTIONS !

Unlock the world of programming with "Programming Books for Professionals," a free digital product containing expertly curated books on languages like C, C++, Python, Java, Ruby, C#, and algorithms. Compiled from Stack Overflow Documentation, this resource brings together knowledge from experienced professionals in a structured, easy-to-understand format. Each book is released under Creative Commons BY-SA and is intended solely for educational purposes. Whether you're a beginner or an experienced programmer, these books provide valuable insights and practical examples to elevate your coding skills. Download now and accelerate your programming journey!

Comprehensive NLP Notes Covers All Aspects of NLP – Basics to advanced concepts Types of NLP Models – Rule-based, ML-based, Deep Learning-based Code Explanations – Step-by-step breakdown with examples Practical Applications – Real-world use cases of NLP Hands-on Examples – Implementations using Python, NLTK, SpaCy Beginner to Expert Guide – Structured notes for easy learning Resourceful for Projects & Interviews – Covers key NLP questions

This is my own ATS-optimized resume which scores above 90% across most ATS tools. I spent hours refining the layout, formatting, and keyword density to ensure it performs well for Data/AI/Analytics roles. It includes: ATS-safe structure (no tables, icons, images) Strong keyword coverage (Python, SQL, ML, NLP, LLMs, Analytics, etc.) Clean single-column format for easy parsing Quantified achievements for recruiter readability Proper hierarchy: Summary, Skills, Experience, Projects, Achievements

🚀 Ace Your Data Engineering Interviews with Confidence! Get 1000+ real-world interview questions and answers designed to help you crack technical rounds at top MNCs . This guide covers SQL, Python, PySpark, ETL, Cloud (Azure/AWS/GCP), ADF, Databricks, Snowflake, Delta Lake, and Synapse — everything you need in one place. Perfect for all experience levels, it’s structured for smart, time-efficient prep with practical Q&A based on real interview experiences. Prepare faster, answer smarter, and land your dream Data Engineer role.

Looking for the latest Data Engineering Interview Questions? I've got you covered! Grab them now at the lowest price possible. Here you'll get all these : 1. Azure Data Engineering - 300+ 2. Python Interview Questions - 150+ 3. SQL Interview Questions -500+ 4. Big Data Interview Questions - 300+ 5. Snowflake Interview Questions - 50+ I've crafted several nicely organized in PDF files just for you. Enjoy your learning journey! ⛷️ Note: Feel free to DM me or comment on my latest LinkedIn post if you are facing any payment-related issues. www.linkedin.com/in/asheeshlive

To become Data analytics, You have to learn below tools and stack Learn 👇 SQL Python Machine Learning Deep Learning NLP Time Series Cloud etc. Using every stack and tool create as many projects as you can. Here in the Document, You'll find all the free resources attached. list is endless... Note - Kindly open these files in Chorme, to avoid an error.

To become data Scientist, You have to learn below tools and stack Learn 👇 SQL Python Machine Learning Deep Learning NLP Time Series Cloud etc. Using every stack and tool create as many projects as you can. Here in the Document, You'll find all the free resources attached. list is endless... Note - Kindly open these files in Chorme, to avoid an error.

A single place for everything you need to land interviews, impress hiring managers, and secure offers—curated by me with inputs from experts and MNC interviewers. Content is structured by experience level so anyone—from fresher to lead—can prepare fast and smart. What you’ll get (Modules) ✅ ATS‑Friendly Resume Pack: Ready‑to‑use templates + Resume Guide (keywords, structure, examples) to beat the ATS and land interviews. ✅ 2000+ HR Contact List: Direct access to HRs & TA teams from top companies. ✅ Data Analyst Course : Learn Excel, SQL, Power BI, and Python basics—perfect for beginners and career switchers. ✅ LinkedIn DM Templates: Proven scripts to connect with recruiters and get responses. ✅ Interview Q&A Kit: Covers Data Analyst, SQL, Python, Excel, Power BI, BI, Data Science & HR questions with simple answers. ✅ Quick Prep Kit: Revision notes, checklists, and instant access link. ✅ Real Projects Portfolio: 300+ business case projects with solutions for Finance, Retail, E‑commerce & more. ♾️ Lifetime Access: All updates included. Bonus: Resume Tips & Templates ATS formatting, keyword mapping by role, measurable bullets, portfolio links.

In this particular product you will find Previously Asked Questions Of Cognizant Exam Content : Cognizant Actual Coding Questions ( 70+ Questions) Cognizant Actual SQL Questions (30+ Questions) Cognizant Actual Web Development Questions (10+ Questions) Cognizant Actual Aptitude Questions ( 120+ Questions ) Cognizant Actual Game Based Questions ( 100+ Questions ) Cognizant Actual Communication Round Questions ( 50+ Questions) Cognizant Actual Cloud Fundamental MCQs Questions ( 100+ Questions ) Cognizant Actual Python C# MCQs Questions ( 100+ Questions ) Cognizant Actual Java MCQs Questions ( 100+ Questions ) Cognizant Actual Python MCQs Fundamental Questions (100+ Questions) All the questions discussed in these section contains previously asked questions in a well structured pdfs. This material will help you prepare for Cognizant Assessment.

Get a complete pdf of Resources like : 1. Interactive Platforms and Tools 2. Online Courses with Visualization 3. Books with Visuals What Skills Help Learn Neural Networks Faster? Math Basics: Linear algebra, calculus, probability, and statistics. Programming Skills: Python is the most widely used language. AI Fundamentals: Knowledge of machine learning concepts like regression and decision trees is a plus. Persistence: Neural networks can be conceptually challenging—practice and patience are key.

Professional Data Engineer Resume Templates Get noticed by top tech companies with expertly crafted data engineer resume templates. These proven formats highlight your technical skills in SQL, Python, cloud platforms, and data pipeline development. Each template includes industry-specific keywords, optimized structure for ATS systems, and real examples of quantified achievements. Perfect for 2-7+ years of data engineers exeprience ooking to land interviews at leading companies. What's included: 2 professional resume templates ATS-optimized formatting Industry-specific keywords and phrases Transform your job search with a resume that gets results.

🚀 Elevate Your Interview Prep! 🚀 Unlock exclusive insights from Ninja Digital and Prime Profile interviews. Our comprehensive question bank covers every computer engineering subject, giving you the edge to ace any interview. Dominate your interviews with confidence and land your dream job in tech! -> C++ -> Python -> Java -> DBMS -> Operating System -> Computer Network -> SQL -> Managerial -> HR -> Cloud Computing -> Machine Learning -> Imp Coding Que for Ninja, Digital, Prime

This is a next‑generation digital product designed to streamline your job search by aggregating, normalizing, and surfacing opportunities from the five leading recruiting sources—LinkedIn, Glassdoor, Indeed, ZipRecruiter, and Google Jobs—into one unified, intelligent interface. Powered by a robust Python backend script and a modern, cloud‑native architecture, Topmate empowers job seekers, recruiters, and HR teams to discover the best fits faster, stay ahead of the competition, and turn every hiring need into a clear competitive advantage. I am attaching a sample csv file of list of jobs for your reference https://docs.google.com/spreadsheets/d/1v9E0QrXQMpy__DYYI3Si18rOoinRIJDHBbh6rRmekoE/edit?usp=sharing

This Business Analyst Course – Beginner to Job Ready is your complete roadmap to a successful career in business analysis. Designed by Data Analyst in Canada, it blends technical expertise with real-world problem-solving. You’ll learn Excel, SQL, Python, Power BI, Tableau, analytical thinking, communication, and project management tools, all while working on industry case studies from banking, fintech, healthcare, marketing, sales, and more. Whether you’re starting fresh or upskilling, this guide equips you with the skills, tools, and mindset to analyze data, drive business decisions, and thrive in today’s competitive market.

I have compiled everything here, covering cloud platforms (AWS, Azure, GCP), Company-wise interview questions, Python, SQL, DSA, Kafka, and Airflow. This document will be useful at the final stage, once you are already prepared. Do not try to pick questions from here and prepare from scratch, as that will waste most of your time. Instead, prepare the concepts first, then use this question list to review and create your own version of the answers. I have not added any projects because all the available ones are dummy. Better follow videos from Ansh Lamba, Darshil Parmar, My channel or any video form contents.

Digital Product Description: Data Analyst Roadmap Unlock Your Path to Becoming a Data Analyst with Our Comprehensive Roadmap Dive into the world of data analytics with our all-in-one Data Analyst Roadmap —a meticulously curated guide designed to take you from a beginner to a job-ready data analyst. Whether you're just starting or looking to sharpen your skills, this roadmap provides a step-by-step journey through essential topics, tools, and techniques used by top professionals in the industry. What You'll Learn: - Statistics & Mathematics: Master the foundational concepts like Mean, Median, Probability, and more. - SQL: Gain proficiency in SQL with detailed modules and hands-on practice, perfect for cracking real interview questions. - MS Excel: Learn data management, analysis, and visualization techniques to excel in data-driven decision-making. - Python : Understand Python basics and dive into powerful data analysis libraries like Pandas and NumPy. - Data Visualization Tools (Power BI & Tableau) : Build dynamic dashboards and visualize data insights effectively. - Real-World Projects : Apply your knowledge to real-world scenarios with guided projects using Python, SQL, Power BI, and Tableau. - Soft Skills for Data Analysts : Develop essential soft skills like communication, storytelling, and business understanding to complement your technical expertise. Why Choose This Roadmap? - Comprehensive Syllabus: Covers everything from basic statistics to advanced data visualization, ensuring you build a strong foundation. - Practical Resources: Includes a mix of video tutorials, web resources, and practice websites to reinforce learning. - Guided Projects: Real-world projects that simulate the data challenges you'll face in a professional setting. - Pro Tips: Gain insights on how to network, apply for jobs, and build an ATS-friendly resume. Who Is This For? - Aspiring data analysts looking for a structured learning path. - Professionals seeking to switch careers into data analytics. - Students aiming to gain practical knowledge and build a portfolio of projects.

Data Science Roadmap (12 Months Plan) You will get: A structured 12-month learning plan to become a Data Scientist from scratch Step-by-step monthly modules with curated free resources Beginner-friendly approach (no coding or CS background required) Guidance on projects, portfolio building, and specialization tracks A complete balance of technical, mathematical, and soft skills Why this roadmap works: Designed for absolute beginners, even with no prior coding experience Covers Python, SQL, Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision Includes real-world projects to showcase on GitHub and LinkedIn Saves you time by removing the guesswork of “what to learn next” Structured into phases so you can track progress and stay motivated What’s inside: Phase 1: Foundational Skills (Months 1-3) Python Fundamentals (coding basics, OOP, file handling) Data Analysis with Numpy, Pandas, Matplotlib, and Seaborn SQL for Data Science (Joins, CTEs, advanced queries) Phase 2: Core Data Science Concepts (Months 4-6) Statistics and Mathematics for Data Science Exploratory Data Analysis (EDA) with practical datasets Machine Learning basics: Regression, Classification, Clustering Phase 3: Projects and Specializations (Months 7-12) ML Projects: Property Price Prediction, Image Classification Deep Learning with Neural Networks, CNNs, RNNs, and LSTMs Specialization choice: NLP (Text Analysis, Word2Vec, TF-IDF) or Computer Vision (OpenCV, Image Processing, CNNs) By the end of 12 months: You will have completed multiple end-to-end data science projects You will understand Python, SQL, Statistics, ML, DL, NLP, and Computer Vision You will have a strong GitHub portfolio and resume-ready skills You will be prepared for entry-level data science roles and internships Total Duration: 12 months (recommended 2–4 hours/day). Flexible enough to adapt to your own schedule. This roadmap is perfect for students, job seekers, and professionals looking to switch into data science with a structured and practical plan.

Launch Your Data Analyst Career with Cloud Course at Just ₹99! Why spend thousands when you can start smart? 🎯 Introducing: "The Complete Data Analyst Course with + 25000s of HR Contacts" Your fast-track bundle to break into Data .. Here's everything you need — in one bundle: 📘 DSA Roadmap (70 Days) 📘 Numpy for Data Roles (15 Days Crash Course) 📘 Master ML Concepts & 50+ Projects 📘 Power BI Mastery + Interview Prep 📘 ChatGPT Prompts for Job Search 📘 Data Analytics course with 20800+ HR's Emails. 📘 Complete Statistics (15 days) 📘 Complete Pandas (15 days) 📘 Complete Matplotlib (20 days) 📘 LEETCODE Python Solutions (15 days) 📘 Machine Learning with Python Book 🎯 Learn. Apply. Get Hired — without burning your wallet. 💸 All this for just ₹99! (Yes, not even the price of a coffee!) 📌 Ethically sourced. No resell. No refunds. 🔥 Kickstart your tech career today!

Launch Your AI/Data Science Career with Generative AI – Just ₹99! Why spend thousands when you can start smart? 🎯 Introducing: "The Complete Data Science with GENAI Course + 25000s of HR Contacts" Your fast-track bundle to break into Data Science & AI. Here's everything you need — in one bundle: 📘 DSA Roadmap (70 Days) 📘 Numpy for Data Roles (15 Days Crash Course) 📘 Master ML Concepts & 50+ Projects 📘 Power BI Mastery + Interview Prep 📘 ChatGPT Prompts for Job Search 📘 Data Science with GENAI + 21000s of HR Outreach List 📘 Complete Statistics (15 days) 📘 Complete Pandas (15 days) 📘 LEETCODE Python Solutions (15 days) 📘 Complete Matplotlib (20 days) 📘 Machine Learning with Python Book 🎯 Learn. Apply. Get Hired — without burning your wallet. 💸 All this for just ₹99! (Yes, not even the price of a coffee!) 📌 Ethically sourced. No resell. No refunds. 🔥 Kickstart your tech career today!

Title: TOP 10 File Handling Brain Busters Series Author: Nitin Paliwal This educational document is designed to aid Class 12 Computer Science students in mastering file handling concepts in Python through a focused series of 10 questions and solutions. The content is structured to simulate real exam scenarios, offering students both practice and insights into essential programming techniques. Highlights and Features: Focus on Core Topics: Covers fundamental concepts such as file handling, string manipulation, error handling, regular expressions, and text processing. Each question emphasizes skills that are critical for exams, ensuring effective preparation. Practical, Real-World Problems: Scenarios like counting specific words in a file, reversing file content, or extracting email addresses are drawn from real-life applications of Python programming. These examples help students understand the practical importance of file handling and related coding practices. Step-by-Step Problem Solving: Each solution is presented with detailed explanations, including the logic, Python functions, and techniques used. Students are guided through every step, from reading files to applying advanced concepts like regular expressions and list comprehensions. Error Handling and Best Practices: Emphasizes robust coding by including exception handling for common issues such as missing files or invalid data. Encourages clean code practices like proper indentation, meaningful variable names, and efficient algorithms. Exam-Style Questions: The questions are designed to mimic the format and complexity of actual exam problems, making this an ideal preparatory resource. Topics range from adding line numbers to identifying palindromes and comparing file contents, catering to various levels of difficulty. Improves Coding Confidence: With clear, solution-driven approaches, the document builds students’ confidence to tackle similar challenges independently. Encourages logical thinking and debugging skills through practical programming exercises. Overview of Questions: File Analysis: Count lines with specific words, find the longest line, and calculate word frequencies. File Transformation: Replace text, reverse content, and filter short lines. File Comparison: Compare contents of two files to determine if they are identical. Extraction Tasks: Extract email addresses from a file or identify palindromes. File Formatting: Add line numbers to a text file. Educational Value: This resource not only prepares students for examinations but also equips them with programming skills that extend beyond the classroom. By solving these carefully curated problems, learners will gain confidence in handling real-world file operations, an essential component of software development. This series is an invaluable tool for any student aspiring to excel in programming and strengthen their grasp of Python file handling.

What Will You Gain from This Course? 🚀 100% Coverage in Data Analytics with my Experience Only want to help you at most Affordable Price ( So that Everybody can Afford to Learn Data Analytics) 📌 Complete SQL Mastery ✔️ SQL Fundamentals (Joins, Aggregations, Subqueries) ✔️ Advanced SQL (Window Functions, CTEs, Stored Procedures) ✔️ SQL Optimization Techniques (Indexes, Query Performance) ✔️ Real-World SQL Case Studies & Scenarios ✔️ SQL Interview Questions & Hands-on Exercises 📌 Power BI Projects & Mastery ✔️ Power BI Basics (Data Loading, Cleaning, Transformation) ✔️ DAX & Power Query for Advanced Calculations ✔️ Building Interactive Dashboards & Reports ✔️ Real-World Business Intelligence Projects ✔️ Power BI Interview Case Studies 📌 Excel Mastery with Dashboards ✔️ Excel Formulas & Functions for Data Analysis ✔️ Pivot Tables & Power Query for Automation ✔️ Creating Dynamic Dashboards & Visualizations ✔️ Excel for Financial & Business Analytics 📌 Python for Data Analytics ✔️ Python Fundamentals (Lists, Dictionaries, Loops, Functions) ✔️ Data Analysis with Pandas & NumPy ✔️ Exploratory Data Analysis (EDA) on Real Datasets ✔️ Python Interview Questions & Hands-on Coding 📌 300+ Data Science Projects ✔️ Data Cleaning & Preprocessing Projects ✔️ SQL-Based Analytics & Reporting Projects ✔️ Machine Learning & Predictive Analytics Projects ✔️ Power BI & Dashboarding Case Studies ✔️ Business Intelligence & Automation Projects 📌 Interview Preparation Kit ✔️ Data Analytics Interview Q&A (SQL, Python, Power BI, Excel) ✔️ Case Studies & Problem-Solving Scenarios ✔️ Resume & LinkedIn Optimization Tips ✔️ Mock Interviews & Real-World Interview Questions 🚀 Master Data Analytics & Land Your Dream Job! 🎯 Why Choose This Course? This course is available at an affordable price and is crafted by an expert in Data Analytics. It provides the knowledge, skills, and resources needed to succeed in your career. For more information or queries, feel free to reach out on Enroll today and take the first step toward a successful career in Data Analytics!