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Idea in Brief

The Situation

Projects have displaced operations as the economic engine of our times. By 2027, some 88 million people around the world are likely to be working in project management, and the value of project-oriented economic activity will have reached $20 trillion.

The Problem

Despite this shift, many leaders still undervalue projects and project management. As a result, only 35% of the projects undertaken worldwide are successful—which means we’re wasting an extravagant amount of time, money, and opportunity.

The Way Forward

Companies need to reinvent their approach to project management. They need to adopt a project-driven organizational structure, ensure that executives have the capabilities to sponsor projects, and train managers in modern project management.

Quietly but powerfully, projects have displaced operations as the economic engine of our times. That shift has been a long time coming.

During the 20th century, operations (which involve the running of organizations) created tremendous value, and they did so through advances in efficiency and productivity. But for most of the current century, productivity growth in Western economies has been almost flat, despite the explosion of the internet, shorter product life cycles, and exponential advances in AI and robotics.

Meanwhile, projects (which involve the changing of organizations) are increasingly driving both short-term performance and long-term value creation—through more-frequent organizational transformations, faster development of new products, quicker adoption of new technologies, and so on. This is a global phenomenon. In Germany, for example, projects have been rising steadily as a percentage of GDP since at least 2009, and in 2019 they accounted for as much as 41% of the total. Precise data is hard to come by for other countries, but similar percentages are likely to apply in most other Western economies. The percentages are probably even higher in China and other leading Asian economies, where project-based work has long been an important source of growth.

And we’re only just getting started. In 2017, the Project Management Institute estimated that the value of project-oriented economic activity worldwide would grow from $12 trillion in 2017 to $20 trillion in 2027, in the process putting some 88 million people to work in project management–oriented roles—and those estimates were made before nations started spending trillions on pandemic-recovery projects.

Forward-looking companies have recognized the organizational implications of this surge. “Soon we will no longer have job descriptions,” one senior IBM talent executive told me. “We will have only project roles.” That’s where the management thinker Roger Martin believes we already should be. “The average person in an office thinks that their life is some sort of regular job,” he told me, “and that the projects they work on get in the way of doing it. In fact, in organizations the entire decision factory should be thought of as nothing but projects.”

Some companies are already starting to make this change. In 2020, Mohamed Alabbar, the founder and chairman of Emaar, the giant Dubai-based property developer, announced that as part of a shift to project-based work, the company had abolished all traditional job titles—including his own—and that employees would now be defined not by the department to which they belonged but by the projects on which they worked. In a similar move, the Richards Group, the largest independently owned ad agency in the United States, has removed almost all its management layers and job titles and now refers to most of its employees as project managers.

This transformation to a project economy will have profound organizational and cultural consequences. The problem is, many leaders still don’t appreciate the value of projects and write them off as a waste of time. Typical is the attitude of one executive who recently told me, “If you want to make sure that something is not done, make it a project.”

It may be that leaders don’t value project management because its methods are too complex to be easily applied. Many project managers end up producing reams of paperwork, too, which can create the impression that their role is primarily administrative. Dismissing the importance and potential of projects for these reasons is a huge mistake. When executives ignore project management, products launch late, strategic initiatives don’t deliver, and company transformations fail, putting the organization’s future seriously at risk.

There’s one more thing that executives often fail to recognize: Projects give work meaning. Behavioral and social science show that projects can be particularly motivating and inspiring for team members. The moments they feel most proud of almost always happen on the projects they work on—the successful ones, of course, but often even those that fail.

Leaders need to recognize that their role in the project economy involves more than just the direct sponsorship of individual initiatives. At a broader level, it involves being clear and courageous in selecting and prioritizing strategic projects. It involves adopting a project-driven structure and creating a collaborative and empowering culture that reaches across silos. They must also ensure that project management competencies are developed throughout the organization.

I can say all this with confidence because I’ve devoted my career to the study of projects and the practice of project management. I’ve worked as the director of the program-management offices at PwC, BNP Paribas Fortis, and GlaxoSmithKline. I’ve served as the chairman of the Project Management Institute. I’ve taught thousands of senior leaders, managers, and project managers at several top business schools. In short, I have worked on and examined projects from every point of view, and what my work has taught me is that we need a clearer, simpler, and more comprehensive approach to project management.

Artist Joerg Glaescher contemplated the intense power of nature by handcrafting waves out of gathered deadwood in the forest near his home in Leipzig, Germany.Joerg Glaescher/laif/Redux

The stakes are high. According to the research firm the Standish Group, around 35% of the projects undertaken worldwide are successful. Given that we’re talking about tens of trillions of dollars, and the labor of millions of employees, that’s a mind-blowing number. It tells us that we’re not only wasting 65% of the time and money that we’ve invested in our projects but also forfeiting trillions of dollars of new value for organizations and society at large.

We can and we must do better. In this article I’ll present a simple but powerful project-management framework that can make the job easier for everyone, and I’ll lay out six skills that you’ll need to succeed in an increasingly project-centric world.

From Operations to Projects

It’s often said that to succeed in times of change, companies need to be organizationally ambidextrous—or as the academics put it, they must balance the exploitation of their current capabilities (operations) with the exploration of new competencies (projects). In other words, they need to focus simultaneously on running the organization and changing it.

Running the organization (operations).

This dimension is made up of the core and legacy activities of the business. It includes functions such as sales, customer service, finance, manufacturing, and IT. Most of the revenues (and fixed costs) generated by firms are from running-the-organization activities. These functions are what keep the company alive. Running the business is about efficiency, productivity, and speed. The focus is short-term, the objectives are mainly performance-driven, and the structure is hierarchical. Culturally, the model is command and control.

Changing the organization (projects).

This dimension is key to the future of the company. It includes all the organization’s strategic and tactical initiatives and programs. Changing the business is about innovation, transformation, agility, and long-term value creation. The focus is medium- to long-term, the objectives are more strategic, the structure is flat and project based, and the outcomes are less quantifiable than operational results. Culturally, the model is entrepreneurship and collaboration.

The future belongs to organizations that can achieve the right balance of run and change, but most leaders are far better at the former, and so spend more of their time on it. That’s a legacy of the 20th century, when, starting in about 1920 and guided by the likes of Henry Ford and Frederick Taylor, most companies made productivity their prime directive. They achieved it with a relentless focus on increasing efficiency, reducing costs, and raising volumes and outputs. Because they mainly produced goods, they grew in mostly organic ways: by increasing production capacity, by standardizing and automating processes, and by entering new markets. Once a year, senior leaders would decide on strategies, projects, budgets, and operating plans and then would manage operations accordingly. Between annual-planning cycles, only a few minor amendments were allowed.

All this made operations extremely efficient. But efficiency has its downsides. By commoditizing their processes, companies sacrificed elements of medium- and long-term value for speed. They regularly grew their businesses through acquisition, often at the expense of organic growth, or as an alternative to it. That allowed them to accelerate their product-release schedules or simply to produce more. But there comes a point after which a strategy of more volume, more product releases, and more brand extensions simply runs out of road. Sustainable growth through further efficiency becomes impossible, especially in times of uncertainty and rapid change.

That’s where we are today. The yearly operational rhythm that prevailed for a century is out of touch with reality. Every organization, public or private, now operates in an environment of continual and sometimes disruptive change. Projects used to be temporary, and operations permanent, but now the reverse is true: Operations keep you afloat temporarily, and change is what’s permanent. Anticipating, managing, and driving change thus become the prime directives. And what’s the best way to do those things?

Handle your projects better.

New Terms and Conditions

What exactly is a project? Everybody uses the word, but it means different things to different people. That’s a problem. As projects drive more and more of the value that organizations create, everyone needs to have a common understanding of what projects and project management are. So let’s briefly define them.

Projects involve a series of planned activities designed to generate a deliverable (a product, a service, an event). These activities—which can be anything from a grand strategic initiative to a small program of change—are limited in time. They have a clear start and end; they require an investment, in the form of capital and human resources; and they are designed to create predetermined forms of value, impact, and benefits. Every project has elements that are unique. That’s key: Each contains something that has not been done before.

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Project management, for its part, involves the collection of competencies, techniques, and tools that help people define, plan, and implement projects to achieve their goals. Most project-management methods we use today were developed in the 1970s and 1980s and reflect the efficiency and standardization methods used for operations management. Organizations typically adopted one standardized project-management methodology and applied it consistently to all their projects. Over time, what project management was and what it needed to be drifted apart. Organizations evolved rapidly, and although the number of projects increased exponentially, project management somehow stayed in the past.

Using the traditional model, project managers have focused far too much on inputs and outputs (planning, estimation, cost, time, scope, risk management) and not nearly enough on outcomes and value (purpose, rationale, benefits, impact, and strategy). It hasn’t mattered much to them what happens before or after their projects are complete—they’ve concerned themselves with deliverables, the idea being that if they can complete their projects on time, on budget, and on scope, then the promised benefits will…just happen.

Typically, project managers conceive of their projects in life cycle stages, moving sequentially from initiation through planning and implementation to closing. You work on one stage until you’re done; you move on to the next; and when you’ve made it through the final one, your project is complete. At no point do you return to a previous stage.

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But we now know that projects don’t lend themselves naturally to such a rigidly sequential, one-size-fits-all approach. In taking on work that’s never been done before, projects involve experiments and false starts and failures and, as a result, are prone to movement back and forth among the stages. To run projects well, sponsors and managers need to focus on three main things: innovating; creating a high-performing team; and, most important, delivering benefits.

Agile and traditional project management aren’t at war with each other. In a change-driven world, companies can’t apply just one methodology to all their projects.

In the early 2000s, as the internet and new technologies converged to create an explosion of change, the agile movement began to take hold as an alternative to the rigidity of traditional project-management practices. The focus was on accomplishing work in smaller increments, on delivering value to customers faster, and on evaluating requirements, plans, and results continuously. Agile has been a positive development in many ways, but at times it has led to tribalism in the project-management-expert community. Many leaders see agile as cool and fresh, and traditional project management as obsolete—and so they have rashly instituted agile throughout their organizations.

That is counterproductive. Agile and traditional project management aren’t at war with each other. In a change-driven world, companies can’t apply just one methodology to all their projects. Instead, they need a toolbox of approaches—among them agile and traditional project management, certainly, but also design thinking, change management, and product development—and then must build competencies in all of them throughout their organizations.

But to make that possible, they first need a framework that allows everybody in the organization to see, understand, and work productively on the key elements of any given project.

The Project Canvas

I’ve created just such a framework for the executives and managers I teach and advise across the globe—a one-page strategic template that I call the project canvas. The concept is inspired by the business model canvas developed by Alex Osterwalder and Yves Pigneur and used by millions of people worldwide. Both Alex and Yves helped with early brainstorming for the design of the project canvas. A few other frameworks with the same name exist, but none has been as widely adopted as this one.

The framework is composed of just three domains: foundation, people, and creation. Each domain is vital to the success of any project.

What distinguishes the project canvas from other guides to project management? A lot of things. It can be applied to any project, program, or strategic initiative. It focuses on value and benefits rather than processes and controls, and it encourages you to focus on how to quickly deliver the elements of greatest value. It helps you ensure that every project has a purpose and lines up with your organization’s strategy. It focuses on implementation rather than detailed planning, and—this is critical—it spans not just the traditional project life cycle but also the pre- and postproject phases, to include aspirations and benefits. It’s flexible and allows changes to be made quickly whenever necessary.

The project canvas works with all project-management methodologies, and it guides each stage of the process. It is used before the project begins, to assess how well it has been defined and whether it’s ready to go. It is used throughout the project to track progress and ensure that critical elements and assumptions remain valid. It is used near the end, to assess whether the project is delivering its intended benefits, and after the project is over, to capture lessons learned and build up competencies found to be lacking.

The canvas process begins just before you invest heavily in a project but after you have put both a project manager and a project sponsor in place. Those two roles are key to the success of any project. It’s common to think of a project manager as focusing primarily on the technical aspects of the project—with the goal of providing the deliverables on time, within scope, and on budget—while the project sponsor oversees and supports the project manager and ensures that the project stays true to its purpose and delivers its promised benefits. But that division diminishes the role of the project manager, who also needs to be concerned with purpose and benefits. When it comes to how a project is run and what its goals are, the manager and the sponsor must be on the same page—which, of course, is exactly what the project canvas makes possible.

The canvas has to work for everybody, so it must be built on consensus. The project manager should start by convening a project-definition workshop—a meeting that brings together the project sponsor, key stakeholders, and company experts, not to mention anybody else who might provide relevant information, including customers and suppliers. This meeting might take two or three hours. Don’t rush it. Make sure everybody has a blank copy of the canvas. Review the goals, scope, and details of the project, and walk through the elements of the canvas template. Then have everybody brainstorm for a while. Start with the foundation, and then move through the other domains and their building blocks. Ask participants to share their views and opinions, and then using a master copy of the canvas, summarize the main themes that have emerged for each domain and building block. You’ll now start to see a picture of the challenges ahead.

At this point, your canvas will have a lot of information on it. Ask yourself, Does it all work together as a cohesive and integrated whole? Does it make sense from a strategic and an organizational perspective? Does it acknowledge that you’ll be implementing your project in a fast-changing and multiple-priority environment? Now is the time for some careful thought and focused iteration. If you are missing or unclear about two or more building blocks, it’s probably too early and too risky to start your project. Take more time to define them. And if you still can’t do that, don’t start the project at all.

When the meeting ends, the process is far from over. Your next step is to share the document you’ve produced with other stakeholders and incorporate their feedback.

The canvas is now a living document, to be revisited regularly. Consult it each time you face a major decision, and update it any time you make changes to the nature of the project or your goals. You might even want to feature the canvas in your drumbeat communications. Consider producing a video, drafting an article, or facilitating a short workshop around one (or more) of the elements in the canvas on a regular cycle—perhaps once a month.

Skills and Training

Projects are only as good as the people who run them. So what are the main qualities that leaders need to excel in a project-driven world?

I divide them into six categories.

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Project management skills.

Executive sponsors need a solid grounding in the essentials of project management. They need to know why projects succeed or fail, how to ensure that a particular project’s technical fundamentals are robust, and which characteristics of that project to consider when choosing its project manager. In addition, they need to understand the technical complexity and constraints associated with how plans and estimates are developed.

Project managers, for their part, need to be able to use tools and techniques to determine the rationale and business case for a project. They must be adept at working with contributors and partners in defining scope. They need to know how to identify and manage risk effectively. Once a project is underway, they are responsible for establishing reporting mechanisms to monitor execution and quality. When delays or changes to the plan are foreseen, they need to be able to anticipate their impact and come up with viable alternatives.

Product development and subject matter expertise.

Project sponsors and managers need to develop a reasonably proficient understanding of the technology, features, product, service, or capabilities that the project aims to produce. This will do a lot for them: It will give them credibility with the team and the stakeholders. It will enable them to communicate in the language of the experts and the product teams. It will ensure that they understand what the project benefits are, and how and when they will be achieved. And it will help them understand how the project connects with the organization’s overall strategy.

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Strategy and business acumen.

Because of their seniority, executive sponsors tend to have a good understanding of their organization, its strategy, and its key competitors. They’re also typically savvy when it comes to the financials and the environment in which their projects will be implemented. Project managers often need to develop these skills. Being able to connect the project benefits and purpose to concrete business priorities is essential for winning buy-in and achieving goals. Also key is a strong focus on a project’s benefits and impact, even in the early stages.

Leadership and change management skills.

Project sponsors and managers today need strong leadership and change management capabilities. They have to create high-performing teams; provide direction; manage and persuade across multiple cultures; build bridges across the organization; communicate clearly and effectively; evaluate, develop, and coach staff; and resolve disagreements in ways that all parties can embrace.

Agility and adaptability.

There’s no question that project sponsors need to adapt to agile methods. In the old world, they were expected to lead according to a predetermined plan and treat decisions as simple and binary. But in a change-driven world, they won’t have all the answers and will need to alter their course and cancel projects regularly. Many agile training groups offer very helpful courses and certifications that can provide a solid knowledge base.

Similarly, project managers need to be comfortable working in uncertain contexts and making plans and decisions with only limited information. They should be prepared to apply some agile methods or adaptive techniques, among them Agile Project Management, Scrum, Kanban, and Scaled Agile Framework.

Ethics and values.

Project sponsors and managers are role models. They create a safe, respectful, nonjudgmental environment in which the project team can build trust and communicate openly. In the launch phase of any project, consider developing a code of ethics to guide you and the project team. Start by consulting existing models. Both the Project Management Institute and the International Project Management Association have codes posted online.

Mastering these skills is no small task, but fortunately plenty of good options for learning are available. Some business schools offer yearlong programs in project management. Groups such as the Project Management Institute and Prince2 offer internationally recognized programs of accreditation. PM2, from the European Commission, and Praxis provide free project-management frameworks online, and the International Project Management Association offers a competency framework for technical skills. The best option, however, is to develop an in-house training program specific to your organization’s needs and culture.

. . .

Great projects don’t just make work better—they make the world better.

If managers and organizations want to build the competencies required to transform themselves and thrive in the new project economy, they’ll need to get comfortable devising strategies that are driven not by efficiency but by change. They’ll need to allocate more resources, budgets, and decision-making power to projects and project teams at the expense of the traditional departmental hierarchy. They’ll need a simple framework, such as the project canvas, so that everybody in their organizations can get involved. They’ll need to build project management competencies and adopt new technologies. They’ll need to encourage a shift in focus from inputs and outputs to outcomes and value. They’ll need to broaden the scope of their ambitions for their projects, by including, for example, a focus on diversity and sustainability.

If all of us as leaders can do these things, just imagine what we’ll collectively make possible: By executing our projects better, we’ll be able to provide trillions of dollars’ worth of additional benefits to the world.

Editor’s note: Antonio Nieto-Rodriguez is the author of The Harvard Business Review Project Management Handbook (2021), from which this article was adapted.
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A version of this article appeared in the November–December 2021 issue of Harvard Business Review.

This repository contains e-books for a set of technology stacks that I have been working on/interested in. Get as much as you can from this collection. I have put my time and effort in making this collection, Use it wisely but not for commercial purpose.

Any PR and suggestions are welcomed.

AI & Machine Learning (Deep Learning, NLP, etc.)

  • An Introduction to Machine Learning Interpretability [pdf]
  • Applied Text Analysis with Python - Enabling Language Aware Data Products with Machine Learning [pdf][epub]
  • Bayesian Networks and Influence Diagrams A Guide to Construction and Analysis [pdf]
  • Big Data, Data Mining and Machine Learning [pdf]
  • Building Machine Learning Systems with Python [pdf][epub]
  • Collaborative filtering [pdf]
  • Collective Intelligence in Action [pdf]
  • Collective Intelligence [pdf]
  • Computational Intelligence [pdf]
  • Convolutional Neural Networks in Python [epub]
  • Data Mining - Practical Machine Learning Tools and Techniques [pdf]
  • Deep Learning Cookbook - Practical Recipes to Get Started Quickly [pdf][epub]
  • Deep Learning for Search [pdf]
  • Deep Learning with Python [pdf]
  • Feature Engineering for Machine Learning - Principles and Techniques for Data Scientists [pdf]
  • Generative Deep Learning - Teaching Machines to Paint, Write, Compose, and Play [epub]
  • Grokking Deep Learning [pdf]
  • Hands On Unsupervised Learning Using Python - How to Build Applied Machine Learning Solutions from Unlabeled Data [epub]
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow [epub]
  • Machine Learning Cheat Sheet [pdf]
  • Machine Learning for Hackers [pdf][epub]
  • Machine Learning with Python Cookbook - Practical Solutions from Preprocessing to Deep Learning [pdf]
  • Machine Learning with Spark [pdf]
  • Natural Language Annotation for Machine Learning [pdf][epub]
  • Natural Language Processing in Action - Understanding, analyzing, and generating text with Python [pdf]
  • Natural Language Processing with PyTorch - Build Intelligent Language Applications Using Deep Learning [pdf]
  • Practical Machine Learning Tools and Techniques [pdf]
  • Practical Machine Learning [pdf]
  • Practical Recommender Systems [pdf]
  • Programming Collective Intelligence [epub]
  • Python Machine Learning Blueprints [pdf]
  • Python Machine Learning [pdf]
  • R Deep Learning Cookbook [pdf]
  • Relevant Search With Applications for Solr and Elasticsearch [epub]
  • Strengthening Deep Neural Networks - Making AI Less Susceptible to Adversarial Trickery [epub]


  • Building Machine Learning Projects with TensorFlow [pdf]
  • Getting Started with TensorFlow [pdf]
  • Hands On Machine Learning with Scikit Learn, Keras, and Tensorflow (Updated Release) [pdf]
  • Hands-On Machine Learning with Scikit Learn, Keras and TensorFlow [pdf][epub]
  • Machine Learning with TensorFlow [pdf]
  • TensorFlow Machine Learning Cookbook [pdf]
  • TensorFlow for Machine Intelligence - A Hands-On Introduction to Learning Algorithms [pdf][epub]
  • The Lion Way - Machine Learning plus Intelligent Optimization [pdf]

Agile Methodologies

  • Agile Analytics [pdf]
  • Agile Business Intelligence [pdf]
  • Agile Estimating and Planning [pdf]
  • Agile Methods - Large-Scale Development, Refactoring, Testing, and Estimation [pdf]
  • Agile Retrospectives - Making Good Teams Great [pdf]
  • Agile Testing - A Practical Guide for Testers and Agile Teams [pdf]
  • Agile for Everybody - Creating Fast, Flexible, and Customer First Organizations [pdf]
  • Clean Code - A Handbook of Agile Software Craftsmanship [pdf]
  • Coaching Agile Teams A Companion for ScrumMasters, Agile Coaches, and Project Managers in Transition [pdf]
  • Kanban - Successful Evolutionary Change for Your Technology Business [epub]
  • Management 3.0 - Leading Agile Development [pdf]


  • AngualrJS Fundamentals [pdf]
  • Angular in Action [pdf]
  • AngularJS by Example [pdf][epub]
  • AngularJS [pdf]
  • Testing Angular Applications [pdf]


  • Apache Mesos Cookbook [pdf]
  • Apache Sqoop Cookbook [pdf][epub]
  • Apache ZooKeeper Essentials [pdf]
  • Getting Started with Kudu [epub]
  • Getting Started with Storm [pdf]
  • Learning Apache OpenWhisk - Developing Open Serverless Solutions [epub]
  • Web Crawling and Data Mining with Apache Nutch [pdf]
  • ZooKeeper - Distributed process coordination [pdf]

Apache Hadoop

  • Architecting Modern Data Platforms - A Guide To Enterprise Hadoop At Scale [pdf]
  • Hadoop - The Definitive Guide [pdf][epub]
  • Hadoop in the Enterprise - Architecture - A Guide to Successful Integration [pdf]

Apache Kafka

  • Apache Kafka Cookbook [pdf]
  • Kafka - Real Time Data and Stream Processing at Scale [pdf]
  • Kafka - The Definitive Guide [pdf]
  • Kafka Streams in Action - Real time apps and microservices with the Kafka Streaming API [pdf]
  • Learning Apache Kafka [pdf]

Apache Spark

  • Advanced Analytics with Spark - Patterns for Learning from Data at Scale [pdf][epub]
  • Big Data Analytics with Spark - A Practitioner's Guide to Using Spark for Large Scale Data Analysis [pdf]
  • Graph Algorithms - Practical Examples in Apache Spark and Neo4j [pdf]
  • Learning Spark [pdf]
  • Spark - The Definitive Guide - Big Data Processing Made Simple [pdf]
  • Spark in Action [pdf]
  • Stream Processing with Apache Spark - Mastering Structured Streaming and Spark Streaming [epub]

Big Data

  • A Workflow Approach to Stream Processing [pdf]
  • Architecting HBase Applications [epub]
  • Big Data For Dummies [pdf]
  • Big Data Glossary [pdf][epub]
  • MapReduce Design Patterns - Building Effective Algorithms and Analytics for Hadoop and Other Systems [pdf][epub]
  • Privacy and Big Data [pdf]
  • Programming Hive [epub]
  • The Enterprise Big Data Lake - Delivering the Promise of Big Data and Data Science [pdf]

Computer Science

  • Algorithmic Graph Theory and Sage [pdf]
  • Algorithms for Interviews [pdf]
  • Category Theory for Computer Science [pdf]
  • Code Complete - A Practical Handbook of Software Construction [pdf]
  • Interview Preparations Kit - Software Engineer [pdf]
  • Jurans Quality Handbook [pdf]
  • Schema Matching and Mapping [pdf]
  • The Clean Coder - A Code of Conduct for Professional Programmers [pdf]
  • The Pragmatic Programmer From Journeyman to Master [pdf]
  • Understanding Computation - From Simple Machines to Impossible Programs [pdf]

Crypto Currencies

  • Building Ethereum DApps - Decentralized Applications on the Ethereum Blockchain [epub]
  • Programming Bitcoin - Learn How to Program Bitcoin from Scratch [pdf]

Data Mining, Science and Analysis

  • Data Mining - Foundations and Intelligent Paradigms: Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects [pdf]
  • 21 Recipes for Mining Twitter [pdf]
  • Advanced Techniques in Web Intelligence – [Part I][Part II]
  • An Introduction to Information Retreival [pdf]
  • Bad Data Handbook - Cleaning Up The Data So You Can Get Back To Work [pdf]
  • Business Intelligence Data Mining and Optimization for Decision Making [pdf]
  • Create a Data Driven Organization [pdf][epub]
  • Dark Web Exploring and Data Mining the Dark Side of the Web [pdf]
  • Data Analysis with Open Source Tools [pdf]
  • Data Mashups in R [pdf]
  • Data Mining - Concepts, Models, Methods, and Algorithms [pdf]
  • Data Mining - Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification [pdf]
  • Data Mining Concepts and Techniques [pdf]
  • Data Mining Methods for Recommender Systems [pdf]
  • Data Mining and Statistics for Decision Making [pdf]
  • Data Science from Scratch [pdf] [epub]
  • Data Science on the Google Cloud Platform [epub]
  • Data Science with Python and Dask Manning Publications (2019) [epub]
  • Data Source Handbook [pdf]
  • Data Stream Mining - A Practical Approach [pdf]
  • Decision Support Systems For Business Intelligence [pdf]
  • Designings Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses [pdf]
  • The Minto Pyramid Principle - Logic in Writing, Thinking, & Problem Solving [pdf]

Math (Statistics, Linear Algebra, etc.)

  • Linear Algebra Explained In Four Pages [pdf]
  • Linear Algebra [pdf]
  • Think Bayes - Bayesian Statistics Made Simple [pdf]
  • Think Stats - Exploratory Data Analysis in Python [pdf]
  • Think Stats [pdf][epub]


  • Algorithms to Live By: The Computer Science of Human Decisions [pdf][epub]
  • Anything You Want - 40 Lessons for a New Kind of Entrepreneur [pdf][epub]
  • Atomic Habits - An Easy & Proven Way to Build Good Habits & Break Bad Ones [pdf][epub]
  • Business Adventures - Twelve Classic Tales from the World of Wall Street [pdf][epub]
  • Competing Against Luck - The Story of Innovation and Customer Choice [pdf][epub]
  • Contagious - Why Things Catch On [pdf][epub]
  • Crossing the Chasm - Marketing and Selling Disruptive Products to Mainstream Customers [pdf]
  • Daily Rituals - How Great Minds Make Time, Find Inspiration, and Get to Work [pdf][epub]
  • Dealing with China - An Insider Unmasks the New Economic Superpower [pdf]
  • Debugging Teams - Better Productivity through Collaboration [pdf][epub]
  • Deep Work - Rules for Focused Success in a Distracted World [pdf][epub]
  • Help Any Team Build a Better Experience [epub]
  • The Growth Handbook by Intercom [epub]
  • The Laws of Simplicity [pdf]

Misc. Programming

  • Elixir in Action [pdf]
  • Elm Accelerated [epub]
  • Reactive Applications with Akka.Net [pdf]


  • Building Hypermedia APIs with HTML5 and Node [pdf]
  • Developing Microservices with Node.js [pdf]
  • Node Up and Running [pdf]
  • Node for Front-End Developers [pdf]
  • Node.js in Action [pdf]


  • Classic Computer Science Problems in Python [pdf]
  • Learning Python - Powerful Object-Oriented Programming [pdf][epub]
  • Learning Website Development with Django [pdf]
  • Python Essential Reference [pdf]
  • Python for Finance - Mastering Data Driven Finance [epub]
  • Think Python [pdf]


  • Getting Started with RStudio [pdf]
  • R Cookbook - Proven Recipes for Data Analysis, Statistics, and Graphics [epub]
  • R Data Structures and Algorithms [pdf]


  • Hands On Design Patterns with React Native [epub]
  • Isomorphic Web Applications - Universal Development with React [epub]
  • React Native in Action [pdf]


  • Redis Essentials [pdf]
  • Redis in Action [pdf]

Regular Expressions

  • Mastering Regular Expressions [pdf]
  • Regular Expression Pocket Reference [pdf]
  • Regular Expressions Cookbook [pdf]

Semantic Web

  • A Developer’s Guide to the Semantic Web [pdf]
  • Emergent Web Intelligence Advanced Semantic Technologies [pdf]
  • Linked Data - Evolving The Web Into A Global Data Space [pdf]
  • Linked Open Data - The Essentials [pdf]
  • Practical Semantic Web and Linked Data Applications [pdf]
  • Programming The Semantic Web [pdf]
  • Semantic Web Programming [pdf]
  • Semantic Web Services For Web Databases [pdf]
  • Semantic Web Services [pdf]
  • Semantic Web Technologies for Business Intelligence [pdf]
  • Semantic Web for the Working Ontologist [pdf]

Software Engineering and Architecture

  • AI for People and Business - A Framework for Better Human Experiences and Business Success [epub]
  • API Design Cookbook [pdf]
  • APIs A Strategy Guide [pdf]
  • Architecting for Scale [epub]
  • Building Evolutionary Architectures [pdf]
  • Building Adaptable Software with Microservices [pdf]
  • Building Microservices [pdf][epub]
  • Clean Code Collection [epub]
  • Clean code - A handbook of agile software craftsmanship [epub]
  • Dependency Injection Principles, Practices, and Patterns [pdf]
  • Designing Distributed Systems [epub]
  • Facebook - A Focus on Efficieny [pdf]
  • HTTP - 2 in Action [pdf]
  • Hands-on Domain-driven Design by Example [epub]
  • Information Architecture For the Web and Beyond [pdf][epub]
  • Learning Chaos Engineering - Discovering and Overcoming System Weaknesses Through Experimentation [epub]
  • Microservices Designing Deploying [pdf]
  • Production Ready Microservices [pdf][epub]
  • Reactive Design Patterns [pdf]
  • Scalable and Modular Architecture [epub]
  • Streaming Data - Understanding the Real Time Pipeline [pdf]
  • Understanding Computation - From Simple Machines to Impossible Programs [epub]

Web Development (HTML, CSS)

  • CSS FlexBox [pdf]
  • CSS in Depth [pdf]
  • Developing Large Web Applications [pdf]
  • HTML5 Architecture [pdf]
  • HTML5 Canvas [pdf]
  • HTML5 Cookbook [pdf]
  • Identity and Data Security for Web Development Best Practices [pdf]
  • Making Isometric Social Real-Time Games with HTML5 CSS3 and JavaScript [pdf]
  • Pro HTML5 Programming [pdf]
  • Programming HTML5 Applications [pdf]
  • RESTful Web Clients - Enabling Reuse Through Hypermedia [pdf]
  • Responsive Web Design with HTML5 and CSS3 [pdf]
  • Stunning CSS3 A project-based guide to the latest in CSS [pdf]
  • The CSS3 Anthology [pdf]
  • Web Development Recipes [pdf]