程序员的英语 (朴栽浒李海永) (Z-Library)

# English for Developers (程序员的英语) ## 【One-Line Pitch】 A practical English-reading course built around real IT journalism—security, drones, big data, IoT, and cloud—that trains developers to read tech articles quickly without reaching for a dictionary. Ideal for working programmers who want to improve technical reading comprehension while picking up genuinely useful industry knowledge. ## 【Book Arc】 - **Opening (~0%–10%)**: Introduces the book's core method—reading real IT news articles with graduated difficulty (one to four stars), supported by vocabulary lists, grammar explanations tied directly to the example text, and comprehension exercises. The cloud unit (Unit 25) demonstrates the format: a full article on cloud computing, followed by word/phrase glosses, grammar points, and discussion questions. - **Early (~10%–30%)**: Moves into security topics—Google's Project Zero hacker team and its 90-day vulnerability disclosure policy, Facebook privacy settings users should change, and a detailed taxonomy of malware (adware, spyware, ransomware, etc.). Grammar coverage expands to sentence patterns 3–5, relative pronouns (that/which), infinitives vs. gerunds, and active/passive voice, all illustrated with sentences from the articles. - **Middle (~30%–50%)**: Shifts to drones and robotics—the Google vs. Facebook "space race" for internet access via balloons and drones, five surprising civilian drone uses (hurricane hunting, 3D mapping, ambulance delivery), and the rise of robot journalists. Grammar focus moves to handling proper nouns, dates, and complex sentence structures by substituting symbols, plus the many uses of "that" (appositive, relative pronoun, noun clause, demonstrative). - **Late (~50%–75%)**: Covers AI and big data—expert debates on whether robots will create or destroy jobs, quotes from Elon Musk, Bill Gates, and Vernor Vinge on superintelligence and the singularity, and "classic quotes" collections from big data and IoT themes. Grammar deepens with complex sentence analysis and discourse-level reading strategies. - **Ending (~75%–100%)**: The "practice" section (Units 31–33) applies everything to real-world texts: Wikipedia entries, tech humor/parody pieces, and a White House document on cybersecurity—all at four-star difficulty, pushing readers to read authentic materials independently. ## 【Key Takeaways】 - **Real IT articles are the curriculum** (Early): Each unit is built around an actual news piece with cited sources, so you learn English through the same content you'd encounter in your daily tech reading—not artificial textbook sentences. - **Difficulty is deliberately scaffolded** (Early): One-star units (like "Everything is Already in the Cloud!") build confidence with familiar topics, while four-star units (Wikipedia, White House documents) stretch you toward authentic technical prose. - **Grammar is taught from the article, not the other way around** (Early): Sentence patterns, relative pronouns, and clause structures are explained using sentences that just appeared in the reading, so grammar feels like a tool for comprehension rather than abstract rules. - **Vocabulary is graded and contextualized** (Opening): Words are marked one to four stars by difficulty and glossed in the margin, letting you read without breaking flow while still building a technical vocabulary bank. - **Symbol substitution is a core reading strategy** (Middle): When sentences are clogged with proper nouns, dates, and place names, the book teaches you to replace them with simple symbols (e.g., "A", "WHEN") to grasp the sentence skeleton first—a genuinely transferable skill for dense tech news. - **Comprehension is tested at multiple levels** (Early): Exercises range from factual multiple-choice to open-ended discussion questions (e.g., "Who should be responsible if scamware spreads via your company site?"), pushing you beyond passive reading into active engagement. - **The "classic quotes" units are gold for vocabulary retention** (Middle): Collections of memorable quotes from big data, IoT, and cloud computing figures give you high-density, quotable English that sticks in memory far better than word lists. - **The final practice section is the real test** (Ending): Reading Wikipedia entries and government documents at four-star difficulty proves whether you've internalized the skills—and prepares you for the ungraded English of real documentation, forums, and specs. ## 【Reading Tips】 - **Skim the vocabulary list before each article**—it primes you for the reading and makes the starred difficulty rating feel accurate. Don't stop to look up words mid-article; the glosses are right there. - **Deep-read the grammar sections only when you hit a wall**: If you understood the article without trouble, the grammar explanations are reinforcement, not required reading. If a sentence stumped you, that's the moment to study the pattern. - **Do the "fill-in-the-blank" exercises aloud**: The cloze-style tasks (e.g., completing sentences about Superfish adware) are designed to make you reconstruct the article's logic, not just recall words—speaking them reinforces both English and technical understanding. - **For the four-star practice units, read the original sources**: The book provides URLs for each article; after finishing a unit, try reading the source piece cold to see how much you can now handle without scaffolding. - **Treat the discussion questions as writing prompts**: Even if you're self-studying, write 3–5 sentences answering each "论述" (discussion) question—this converts reading skill into active production, which is what you'll need for technical documentation and emails. ## 【Coverage Limits】 This guide is based on stratified excerpts covering roughly the first half of the book (security, drones, AI) plus the table of contents; the big data, IoT, and cloud units are only partially represented, and the final practice units are known by title but not content. Specific grammar terminology and exercise formats may vary across units. ##