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Python Interviews

Python Interviews

Kanalga Telegramโ€™da oโ€˜tish

Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Python Interviews analitikasi

Python Interviews (@pythoninterviews) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 28 763 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 787-o'rinni va Hindiston mintaqasida 15 187-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 28 763 obunachiga ega boโ€˜ldi.

05 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 88 ga, soโ€˜nggi 24 soatda esa 6 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 0.63% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.81% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 181 marta koโ€˜riladi; birinchi sutkada odatda 234 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 1 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent |--, link:-, learning, sql, analytic kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œJoin this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfunโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 06 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

28 763
Obunachilar
+624 soatlar
+147 kunlar
+8830 kunlar
Postlar arxiv
๐Ÿฏ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ง๐—–๐—ฆ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐—™๐—ฟ๐—ฒ๐˜€๐—ต๐—ฒ๐—ฟ ๐— ๐˜‚๐˜€๐˜ ๐—ง๐—ฎ๐—ธ๐—ฒ ๐˜๐—ผ ๐—š๐—ฒ๐˜ ๐—๐—ผ๐—ฏ-๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐˜†๐Ÿ˜ ๐ŸŽฏ If Youโ€™re a
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Roadmap to Becoming a Python Developer ๐Ÿš€ 1. Basics ๐ŸŒฑ - Learn programming fundamentals and Python syntax. 2. Core Python ๐Ÿง  - Master data structures, functions, and OOP. 3. Advanced Python ๐Ÿ“ˆ - Explore modules, file handling, and exceptions. 4. Web Development ๐ŸŒ - Use Django or Flask; build REST APIs. 5. Data Science ๐Ÿ“Š - Learn NumPy, pandas, and Matplotlib. 6. Projects & Practice๐Ÿ’ก - Build projects, contribute to open-source, join communities. Like for more โค๏ธ ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐—ช๐—ฒ๐—ฏ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ Want to master web development? These fre
๐—ช๐—ฒ๐—ฏ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ Want to master web development? These free certification courses will help you build real-world full-stack skills: โœ… Web Design ๐ŸŽจ โœ… JavaScript โšก  โœ… Front-End Libraries ๐Ÿ“š โœ… Back-End & APIs ๐ŸŒ  โœ… Databases ๐Ÿ’พ  ๐Ÿ’ก Start learning today and build your career for FREE! ๐Ÿš€ ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:- https://pdlink.in/4bqbQwB Enroll for FREE & Get Certified ๐ŸŽ“

Scientific programming in python cheat sheet
Scientific programming in python cheat sheet

๐——๐—ฒ๐—น๐—ผ๐—ถ๐˜๐˜๐—ฒ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐Ÿ˜ If youโ€™re eager to build r
๐——๐—ฒ๐—น๐—ผ๐—ถ๐˜๐˜๐—ฒ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐Ÿ˜ If youโ€™re eager to build real skills in data analytics before landing your first role, Deloitte is giving you a golden opportunityโ€”completely free! ๐Ÿ’ก No prior experience required ๐Ÿ“š Ideal for students, freshers, and aspiring data analysts โฐ Self-paced โ€” complete at your convenience ๐Ÿ”— ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—›๐—ฒ๐—ฟ๐—ฒ (๐—™๐—ฟ๐—ฒ๐—ฒ)๐Ÿ‘‡:-  https://pdlink.in/4iKcgA4 Enroll for FREE & Get Certified ๐ŸŽ“

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๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Whether youโ€™re a student, aspi
๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Whether youโ€™re a student, aspiring data analyst, software enthusiast, or just curious about AI, nowโ€™s the perfect time to dive in. These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/4d0SrTG Enroll for FREE & Get Certified ๐ŸŽ“

Python Geospatial Development ๐Ÿ‘‡ book
Python Geospatial Development ๐Ÿ‘‡ book

Practical Guide to Python Basics Mattie Ingram, 2022

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๐Ÿณ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—จ๐—ฝ๐—ด๐—ฟ๐—ฎ๐—ฑ๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ฒ๐˜€๐˜‚๐—บ๐—ฒ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ ๐Ÿ’ผ Want to Upgrade Your Res
๐Ÿณ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—จ๐—ฝ๐—ด๐—ฟ๐—ฎ๐—ฑ๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ฒ๐˜€๐˜‚๐—บ๐—ฒ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ ๐Ÿ’ผ Want to Upgrade Your Resume in 2025 โ€” Without Spending a Dime?๐Ÿ’ซ Whether youโ€™re in tech, marketing, business, or just looking to stand out โ€” adding high-quality certifications to your resume can make a huge difference๐Ÿ“„ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4iE6uzT The best part? You donโ€™t need to spend any money to do it๐Ÿ’ฐ๐Ÿ“Œ

+4
Tkinter GUI application development cookbook ( PDFDrive ).pdf3.25 MB

๐Ÿณ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—จ๐—ฝ๐—ด๐—ฟ๐—ฎ๐—ฑ๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ฒ๐˜€๐˜‚๐—บ๐—ฒ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ ๐Ÿ’ผ Want to Upgrade Your Res
๐Ÿณ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—จ๐—ฝ๐—ด๐—ฟ๐—ฎ๐—ฑ๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ฒ๐˜€๐˜‚๐—บ๐—ฒ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ ๐Ÿ’ผ Want to Upgrade Your Resume in 2025 โ€” Without Spending a Dime?๐Ÿ’ซ Whether youโ€™re in tech, marketing, business, or just looking to stand out โ€” adding high-quality certifications to your resume can make a huge difference๐Ÿ“„ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4iE6uzT The best part? You donโ€™t need to spend any money to do it๐Ÿ’ฐ๐Ÿ“Œ

Master Frontend to Backend in 150 Days๐Ÿ‘ฉโ€๐Ÿ’ป Days:1 - 30 Learn HTML, CSS, and JavaScript Days: 31 - 60 Master React.js and Build Interfaces Days: 61 - 90 Explore MongoDB and learn how to work with Databases Days: 91 - 120 Dive into Node.js and learn the basics of server-side development Days: 121 - 150 Bring it all together by learning Express.js and building full-stack applications

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Python Methods
Python Methods

Repost from Data Analytics
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Essential NumPy Functions for Data Analysis Array Creation: np.array() - Create an array from a list. np.zeros((rows, cols)) - Create an array filled with zeros. np.ones((rows, cols)) - Create an array filled with ones. np.arange(start, stop, step) - Create an array with a range of values. Array Operations: np.sum(array) - Calculate the sum of array elements. np.mean(array) - Compute the mean. np.median(array) - Calculate the median. np.std(array) - Compute the standard deviation. Indexing and Slicing: array[start:stop] - Slice an array. array[row, col] - Access a specific element. array[:, col] - Select all rows for a column. Reshaping and Transposing: array.reshape(new_shape) - Reshape an array. array.T - Transpose an array. Random Sampling: np.random.rand(rows, cols) - Generate random numbers in [0, 1). np.random.randint(low, high, size) - Generate random integers. Mathematical Operations: np.dot(A, B) - Compute the dot product. np.linalg.inv(A) - Compute the inverse of a matrix. Here you can find essential Python Interview Resources๐Ÿ‘‡ https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Like this post for more resources like this ๐Ÿ‘โ™ฅ๏ธ Share with credits: https://t.me/sqlspecialist Hope it helps :)