Python Programming
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Did you know that there are over 600,000 words in English? That's a lot of words, and far more than any human being could ever manage to learn. Even Shakespeare only used around 55,000 different words in all of his works. Mind you, he did actually invent quite a few of them. To get a good mastery of English, you do need to expand your vocabulary as much as possible. The more words you know, the better your English will be. The Activities here will help you to quickly develop your vocabulary.
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Description Info Download Parts (5) Audio Readings IPA Script
The comprehension questions and article on Python Programming: A Layman's Introduction can be a useful resource for students of English who are interested in improving their reading comprehension skills. The article provides a clear and concise overview of what Python is, its history, and its many applications. The questions that follow the article are designed to test the reader's understanding of the text, helping to reinforce the concepts and vocabulary covered in the article. The article and questions can be particularly useful for English language learners who are interested in learning more about computer programming, as they provide an opportunity to learn both English and programming concepts in tandem. By reading the article and answering the comprehension questions, students can improve their vocabulary, reading comprehension, and critical thinking skills, all while learning about an interesting and relevant topic.
The article "Python Programming: A Layman's Introduction" provides an overview of Python, a popular high-level interpreted programming language used for a wide range of applications, including web development, data science, and artificial intelligence. The article discusses the history of Python and its creator, Guido van Rossum, and explains some of the most popular applications of Python, including web development frameworks like Flask and data science libraries like NumPy and Pandas. Additionally, the article highlights the reasons why Python has become a popular choice for developers of all levels, such as its ease of use, versatility, and supportive community. It explains what an interpreted programming language is and how it differs from compiled programming languages. It describes how an interpreter reads the source code and executes it line by line, rather than compiling it into machine code before execution. It also provides examples of popular interpreted programming languages, such as Python, Ruby, and JavaScript, and discusses some of the benefits and drawbacks of using an interpreted language. Together, the lesson provides a useful introduction to programming languages, specifically interpreted programming languages like Python, and can be valuable resources for beginners and anyone interested in learning more about computer programming.
Python is a high-level, interpreted programming language that has become increasingly popular in recent years. It is often referred to as a beginner-friendly programming language and is widely used in many industries.
History of Python
Python was first created in the late 1980s by a Dutch programmer named Guido van Rossum. Van Rossum named the language after the television show Monty Python's Flying Circus, which he enjoyed watching.
Initially, Python was developed as a hobby project, but it soon gained popularity among the programming community due to its simplicity and ease of use. Python is now an open-source language, meaning that anyone can use and modify it for their purposes.
Uses of Python
Python has a wide range of applications and is used in many different industries. Here are some of the most common uses of Python:
Web Development: Python is widely used for web development, with popular web frameworks such as Django and Flask.
Data Science: Python has become a go-to language for data science and machine learning applications, with popular libraries such as NumPy, Pandas, and Scikit-Learn.
Artificial Intelligence: Python is used in many AI applications, including natural language processing and computer vision.
Game Development: Python is used in game development, with popular game engines like Pygame.
Automation: Python is widely used for automation tasks, with popular tools like Selenium for automating web browsers and PyAutoGUI for automating desktop applications.
Why Python is Popular
Python has become increasingly popular in recent years due to its simplicity, ease of use, and versatility. Its readability and clear syntax make it an accessible language for beginners, while its powerful libraries and frameworks make it a valuable tool for professionals.
Another reason for Python's popularity is the large and active community of developers who use and contribute to the language. The community provides a wealth of resources, including libraries, tutorials, and forums, making it easier for new developers to get started with Python.
Interpreted Language
An interpreted programming language is a type of programming language where the source code is not compiled into machine code before execution. Instead, the source code is executed line by line by an interpreter, which reads each line of code and executes it immediately.
When a program written in an interpreted language is run, the interpreter reads the source code, interprets it, and executes it. The interpreter translates each line of code into machine code on the fly and immediately executes it. This means that the program can be executed without the need for a compilation step.
Examples of interpreted programming languages include Python, Ruby, JavaScript, and Perl. Interpreted languages are generally easier to learn and use, as the developer does not have to worry about compiling the code before running it. However, interpreted languages can be slower than compiled languages, as the interpreter has to execute each line of code on the fly, rather than executing pre-compiled machine code.
Another disadvantage of interpreted languages is that they can be less secure than compiled languages, as the source code is readily available and can be modified or read by anyone who has access to it. This is less of a concern for compiled languages, where the source code is compiled into machine code, which is more difficult to modify or read.
In summary, an interpreted programming language is a type of programming language where the source code is executed line by line by an interpreter. While interpreted languages can be easier to use, they may be slower and less secure than compiled languages.
Conclusion
In conclusion, Python is a versatile programming language with many applications in different industries. Its ease of use, versatility, and supportive community make it a popular choice for developers of all levels. Whether you are a beginner or an experienced developer, Python is a language worth considering for your next project.
/ ˈpaɪθ.n̩ ɪz ə ˈhaɪ lev.l̩ / ɪn.ˈtɜː.prɪ.tɪd ˈprəʊ.ɡræm.ɪŋ ˈlæŋ.ɡwɪdʒ ðət həz bɪˈkʌm ɪn.ˈkriː.sɪŋ.li ˈpɒ.pjʊ.lər ɪn ˈriːsnt ˈjiəz / ˈɪt ɪz ˈɒf.n̩ rɪ.ˈfɜːd tu əz ə bɪ.ˈɡɪn.ə ˈfrend.li ˈprəʊ.ɡræm.ɪŋ ˈlæŋ.ɡwɪdʒ ənd ɪz ˈwaɪd.li juːst ɪn ˈmen.i ˈɪn.də.strɪz /
/ ˈhɪ.str̩i əv ˈpaɪθ.n̩ /
/ ˈpaɪθ.n̩ wəz ˈfɜːst kriː.ˈeɪ.tɪd ɪn ðə leɪt ˌnaɪn.ˈtiːn ˈeɪ.tɪz baɪ ə dʌtʃ ˈprəʊ.ɡræ.mə ˈneɪmd ˈɡwiː.dəʊ væn ˈrɑː.sʌm / væn ˈrɑː.sʌm ˈneɪmd ðə ˈlæŋ.ɡwɪdʒ ˈɑːf.tə ðə ˈtel.ɪ.ˌvɪʒ.n̩ ʃəʊ ˈmɒn.ti ˈpaɪθanz ˈflaɪ.ɪŋ ˈsɜːkəs / wɪtʃ hi ɪn.ˈdʒɔɪd ˈwɒtʃ.ɪŋ /
/ ɪ.ˈnɪ.ʃə.li / ˈpaɪθ.n̩ wəz dɪ.ˈve.ləpt əz ə ˈhɒ.bi prə.ˈdʒekt / bət ˈɪt suːn ɡeɪnd ˌpɒ.pjʊ.ˈlæ.rɪ.ti ə.ˈmʌŋ ðə ˈprəʊ.ɡræm.ɪŋ kə.ˈmjuː.nɪ.ti djuː tu ɪts sɪm.ˈplɪ.sɪ.ti ənd iːz əv ˈjuːs / ˈpaɪθ.n̩ ɪz naʊ ən ˈəʊ.pən sɔːs ˈlæŋ.ɡwɪdʒ / ˈmiːn.ɪŋ ðət ˈe.ni.wʌn kən ˈjuːs ənd ˈmɒ.dɪ.faɪ ˈɪt fə ðeə ˈpɜː.pə.sɪz /
/ ˈjuːs.ɪz əv ˈpaɪθ.n̩ /
/ ˈpaɪθ.n̩ həz ə waɪd reɪndʒ əv ˌæ.plɪˈk.eɪʃ.n̩z ənd ɪz juːst ɪn ˈmen.i ˈdɪ.frənt ˈɪn.də.strɪz / hɪər ə səm əv ðə məʊst ˈkɒ.mən ˈjuːs.ɪz əv ˈpaɪθ.n̩ /
/ web dɪ.ˈve.ləp.mənt / ˈpaɪθ.n̩ ɪz ˈwaɪd.li juːst fə web dɪ.ˈve.ləp.mənt / wɪð ˈpɒ.pjʊ.lə web ˈfreɪm.wɜːks sʌtʃ əz dʒænˈɡəʊ ənd flɑːsk /
/ ˈdeɪt.ə ˈsaɪəns / ˈpaɪθ.n̩ həz bɪˈkʌm ə ˈɡoˌtuː ˈlæŋ.ɡwɪdʒ fə ˈdeɪt.ə ˈsaɪəns ənd mə.ˈʃiːn ˈlɜːn.ɪŋ ˌæ.plɪˈk.eɪʃ.n̩z / wɪð ˈpɒ.pjʊ.lə ˈlaɪ.brər.iz sʌtʃ əz ˈnʌm.piː / ˈpæn.dəz / ənd ˈsaɪ.kɪt lɜːn /
/ ˌɑ:tɪ.ˌfɪʃl ɪn.ˈte.lɪ.dʒəns / ˈpaɪθ.n̩ ɪz juːst ɪn ˈmen.i aɪ ˌæ.plɪˈk.eɪʃ.n̩z / ɪn.ˈkluːd.ɪŋ ˈnæt.ʃrəl ˈlæŋ.ɡwɪdʒ ˈprəʊ.ses.ɪŋ ənd kəm.ˈpjuː.tə ˈvɪʒ.n̩ /
/ ɡeɪm dɪ.ˈve.ləp.mənt / ˈpaɪθ.n̩ ɪz juːst ɪn ɡeɪm dɪ.ˈve.ləp.mənt / wɪð ˈpɒ.pjʊ.lə ɡeɪm ˈen.dʒɪnz ˈlaɪk ˈpaɪ.ɡeɪm /
/ ˌɔː.tə.ˈmeɪʃ.n̩ / ˈpaɪθ.n̩ ɪz ˈwaɪd.li juːst fər ˌɔː.tə.ˈmeɪʃ.n̩ tɑːsks / wɪð ˈpɒ.pjʊ.lə tuːlz ˈlaɪk sɪ.ˈliː.nɪəm fər ˈɔː.tə.meɪt.ɪŋ web ˈbraʊ.zərz ənd ˈpiː waɪ ˈɔː.təʊ dʒiː juː ˈaɪ fər ˈɔː.tə.meɪt.ɪŋ ˈdesk.tɒp ˌæ.plɪˈk.eɪʃ.n̩z /
/ waɪ ˈpaɪθ.n̩ ɪz ˈpɒ.pjʊ.lə /
/ ˈpaɪθ.n̩ həz bɪˈkʌm ɪn.ˈkriː.sɪŋ.li ˈpɒ.pjʊ.lər ɪn ˈriːsnt ˈjiəz djuː tu ɪts sɪm.ˈplɪ.sɪ.ti / iːz əv ˈjuːs / ənd ˌvɜː.sə.ˈtɪ.lɪ.ti / ɪts ˌriːd.ə.ˈbɪl.ət.i ənd klɪə ˈsɪn.tæks ˈmeɪk ˈɪt ən ək.ˈse.səb.l̩ ˈlæŋ.ɡwɪdʒ fə bɪ.ˈɡɪn.əz / waɪl ɪts ˈpaʊə.fəl ˈlaɪ.brər.iz ənd ˈfreɪm.wɜːks ˈmeɪk ˈɪt ə ˈvæ.ljʊəb.l̩ tuːl fə prə.ˈfe.ʃnəlz /
/ ə.ˈnʌð.ə ˈriː.zən fə ˈpaɪθanz ˌpɒ.pjʊ.ˈlæ.rɪ.ti ɪz ðə lɑːdʒ ənd ˈæk.tɪv kə.ˈmjuː.nɪ.ti əv dɪ.ˈve.lə.pəz ˈhuː ˈjuːs ənd kən.ˈtrɪ.bjuːt tə ðə ˈlæŋ.ɡwɪdʒ / ðə kə.ˈmjuː.nɪ.ti prə.ˈvaɪdz ə welθ əv rɪ.ˈzɔː.sɪz / ɪn.ˈkluːd.ɪŋ ˈlaɪ.brər.iz / tjuː.ˈtɔː.rɪəlz / ənd ˈfɔː.rəmz / ˈmeɪk.ɪŋ ˈɪt ˈiː.zɪə fə njuː dɪ.ˈve.lə.pəz tə ˈɡet ˈstɑː.tɪd wɪð ˈpaɪθ.n̩ /
/ ɪn.ˈtɜː.prɪ.tɪd ˈlæŋ.ɡwɪdʒ /
/ ən ɪn.ˈtɜː.prɪ.tɪd ˈprəʊ.ɡræm.ɪŋ ˈlæŋ.ɡwɪdʒ ɪz ə taɪp əv ˈprəʊ.ɡræm.ɪŋ ˈlæŋ.ɡwɪdʒ weə ðə sɔːs kəʊd ɪz nɒt kəm.ˈpaɪ.l̩d ˈɪn.tə mə.ˈʃiːn kəʊd bɪ.ˈfɔːr ˌek.sɪ.ˈkjuːʃ.n̩ / ɪn.ˈsted / ðə sɔːs kəʊd ɪz ˈek.sɪ.kjuː.tɪd laɪn baɪ laɪn baɪ ən ɪn.ˈtɜː.prɪ.tə / wɪtʃ riːdz iːtʃ laɪn əv kəʊd ənd ˈek.sɪ.kjuːts ˈɪt ɪ.ˈmiː.dɪət.li /
/ wen ə ˈprəʊ.ɡræm ˈrɪt.n̩ ɪn ən ɪn.ˈtɜː.prɪ.tɪd ˈlæŋ.ɡwɪdʒ ɪz rʌn / ði ɪn.ˈtɜː.prɪ.tə riːdz ðə sɔːs kəʊd / ɪn.ˈtɜː.prɪts ˈɪt / ənd ˈek.sɪ.kjuːts ˈɪt / ði ɪn.ˈtɜː.prɪ.tə trænz.ˈleɪts iːtʃ laɪn əv kəʊd ˈɪn.tə mə.ˈʃiːn kəʊd ɒn ðə flaɪ ənd ɪ.ˈmiː.dɪət.li ˈek.sɪ.kjuːts ˈɪt / ðɪs miːnz ðət ðə ˈprəʊ.ɡræm kən bi ˈek.sɪ.kjuː.tɪd wɪð.ˈaʊt ðə niːd fər ə ˌkɒm.pɪ.ˈleɪʃ.n̩ step /
/ ɪɡ.ˈzɑːmp.l̩z əv ɪn.ˈtɜː.prɪ.tɪd ˈprəʊ.ɡræm.ɪŋ ˈlæŋ.ɡwɪdʒ.ɪz ɪn.ˈkluːd ˈpaɪθ.n̩ / ˈruː.bi / dʒæ.və.ˈskrɪpt / ənd ˈpɜːl / ɪn.ˈtɜː.prɪ.tɪd ˈlæŋ.ɡwɪdʒ.ɪz ə ˈdʒen.r̩əl.i ˈiː.zɪə tə lɜːn ənd ˈjuːs / əz ðə dɪ.ˈve.lə.pə dəz nɒt həv tə ˈwʌr.i ə.ˈbaʊt kəm.ˈpaɪ.l̩.ɪŋ ðə kəʊd bɪ.ˈfɔː ˈrʌn.ɪŋ ˈɪt / haʊ.ˈe.və / ɪn.ˈtɜː.prɪ.tɪd ˈlæŋ.ɡwɪdʒ.ɪz kən bi ˈsləʊə ðən kəm.ˈpaɪ.l̩d ˈlæŋ.ɡwɪdʒ.ɪz / əz ði ɪn.ˈtɜː.prɪ.tə həz tu ˈek.sɪ.kjuːt iːtʃ laɪn əv kəʊd ɒn ðə flaɪ / ˈrɑː.ðə ðən ˈek.sɪ.kjuːt.ɪŋ pre.kəm.ˈpaɪ.l̩d mə.ˈʃiːn kəʊd /
/ ə.ˈnʌð.ə ˌdɪ.səd.ˈvɑːn.tɪdʒ əv ɪn.ˈtɜː.prɪ.tɪd ˈlæŋ.ɡwɪdʒ.ɪz ɪz ðət ˈðeɪ kən bi les sɪ.ˈkjʊə ðən kəm.ˈpaɪ.l̩d ˈlæŋ.ɡwɪdʒ.ɪz / əz ðə sɔːs kəʊd ɪz ˈre.dɪ.li ə.ˈveɪ.ləb.l̩ ənd kən bi ˈmɒ.dɪ.faɪd ɔː riːd baɪ ˈe.ni.wʌn ˈhuː həz ˈæk.ses tu ˈɪt / ðɪs ɪz les əv ə kən.ˈsɜːn fə kəm.ˈpaɪ.l̩d ˈlæŋ.ɡwɪdʒ.ɪz / weə ðə sɔːs kəʊd ɪz kəm.ˈpaɪ.l̩d ˈɪn.tə mə.ˈʃiːn kəʊd / wɪtʃ ɪz mɔː ˈdɪ.fɪkəlt tə ˈmɒ.dɪ.faɪ ɔː riːd /
/ ɪn ˈsʌ.mə.ri / ən ɪn.ˈtɜː.prɪ.tɪd ˈprəʊ.ɡræm.ɪŋ ˈlæŋ.ɡwɪdʒ sʌtʃ əz ˈpaɪθ.n̩ ɪz ə taɪp əv ˈprəʊ.ɡræm.ɪŋ ˈlæŋ.ɡwɪdʒ weə ðə sɔːs kəʊd ɪz ˈek.sɪ.kjuː.tɪd laɪn baɪ laɪn baɪ ən ɪn.ˈtɜː.prɪ.tə / waɪl ɪn.ˈtɜː.prɪ.tɪd ˈlæŋ.ɡwɪdʒ.ɪz kən bi ˈiː.zɪə tə ˈjuːz / ˈðeɪ meɪ bi ˈsləʊər ənd les sɪ.ˈkjʊə ðən kəm.ˈpaɪ.l̩d ˈlæŋ.ɡwɪdʒ.ɪz /
/ kən.ˈkluːʒ.n̩ /
/ ɪn kən.ˈkluːʒ.n̩ / ˈpaɪθ.n̩ ɪz ə ˈvɜː.sə.taɪl ˈprəʊ.ɡræm.ɪŋ ˈlæŋ.ɡwɪdʒ wɪð ˈmen.i ˌæ.plɪˈk.eɪʃ.n̩z ɪn ˈdɪ.frənt ˈɪn.də.strɪz / ɪts iːz əv ˈjuːs / ˌvɜː.sə.ˈtɪ.lɪ.ti / ənd sə.ˈpɔː.tɪv kə.ˈmjuː.nɪ.ti ˈmeɪk ˈɪt ə ˈpɒ.pjʊ.lə tʃɔɪs fə dɪ.ˈve.lə.pəz əv ɔːl ˈlev.l̩z / ˈwe.ðə ju ər ə bɪ.ˈɡɪn.ər ɔːr ən ɪk.ˈspɪə.rɪənst dɪ.ˈve.lə.pə / ˈpaɪθ.n̩ ɪz ə ˈlæŋ.ɡwɪdʒ wɜːθ kən.ˈsɪ.dər.ɪŋ fə jə nekst prə.ˈdʒekt /
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Python Programming Comprehension Questions
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