PYTHON PROGRAMMING. A Complete Beginner-to-Trainer Guide.
[Audio] Python ki prathmikta hai kyonki yah ek samvedansheel bhasha hai jo aapko apne shikshakon ko seekhne mein madad karta hai. Yah ek samvedansheel bhasha hai jisake liye aapko kisi bhi vishesh gyan ya kaushal ki avashyakta nahin hoti hai. Isliye, aapko iske baad se koi vishesh shiksha ya padhai ki zarurat nahin hogi. Yadi aapko koi bhi vishesh gyan ya kaushal ki zarurat hoti hai, toh aapko usse seekhna hoga aur phir is bhasha mein likhna hoga. Isliye, aapko Python ki padhai karne ke liye koi vishesh shiksha ya padhai ki zarurat nahin hogi. Yah ek samvedansheel bhasha hai jo aapko apne shikshakon ko seekhne mein madad karta hai..
[Audio] Python ko shuru karne ke liye, aapko pehle koi tarah ki programming bhasha nahi chahiye. Schools aur companies abhi tak iska pratham bhaasha banaye rahi hain. Isliye, aapko kisi tarah ki avashyakta nahi hai ki aap C ya C++ se pehle shuru karein. Python ek samanya bhasha hai jo data analysis, automation, AI, aur engineering scripts ke liye upyogi hai. Isliye, yadi aapko Python mein shuru hona hai, toh aapko koi tarah ki avashyakta nahi hai ki aap iske baad koi anya bhasha seekhein. Aap Python mein hi apni skills viksit kar sakte hain..
[Audio] Python का उपयोग विभिन्न क्षेत्रों में किया जाता है, जिसमें इंजीनियरिंग भी शामिल है। इंजीनियरिंग में, पायथन का उपयोग स्ट्रेस, स्ट्रेन, इकाई परिवर्तन और बीएम (बिल ऑफ मैटेरियल) प्रबंधन सहित इंजीनियरिंग कैलकुलेशन्स के लिए किया जाता है। इसके अलावा, पायथन का उपयोग डेटा विश्लेषण और ग्राफ़ बनाने के लिए भी किया जाता है, जैसे कि लैब रीडिंग्स को विश्लेषित करना। पायथन का उपयोग सरल टूल्स और रिपोर्ट उत्पादन के लिए भी किया जाता है, जैसे कि ट्रेनिंग छात्रों के लिए डेस्कटॉप टूल्स, क्विज़ और कैलकुलेटर बनाना।.
[Audio] Python ko download karein aur uske liye python.org/downloads par jayein. Is website se sabse aadhaavik sataiv version ko chunein. Iske baad, us version ko Windows par install karein. Iske baad, us version ko PATH mein add karein. Iske liye, installation ke dauran, "Python ko PATH mein add karein" option ko tick karein. Verification karne ki zaroorat hai. Iske liye, command prompt kholein aur "python --version" likhein. Isse aapko version number dikhai degi. Ek editor ka chayan karein. Aapko visual studio code ya kisi anya editor ka chayan karna hoga. Ismein python extension lagana hoga. Yeh sab steps aapko python programming shuru karne ke liye zaroori hain..
[Audio] Python ko shuru karne ke liye sabse pehle kya karna hoga? Python ko shuru karne ke liye sabse pehle karna hoga ki aapke system mein Python ki installaash ho. Isliye, aapko pahle Python ko download aur install karni hogi. Iske baad, aapko ek editor ya IDE (Integrated Development Environment) chunna hoga jo aapko code likhne aur test karne mein madad karega. Iske baad, aap Python ki basic syntax aur features ko seekh sakte hain..
[Audio] Variables aur Data Type Python mein ek naamik box hai jo ek maan ya mulya rakhta hai. Iska matlab hai ki yah ek vishesh prakaar ka maan ya mulya stora karta hai. Python apne aap dekhta hai ki yah kitna hai — isliye, iski prakriti ko samajhne ke liye koi vyaktigat nirdesh nahin hain. Aise variables ko hum "length" ya "material" jaise naam se denge. Iske baad, humein yah jaana chahiye ki Python kis tarah ka hai. Yeh ek aisi bhasha hai jo bahut saral aur samvedansheel hai. Ismein, humein koi vyaktigat nirdesh nahin diya jata hai ki hum kis tarah ka code likhein. Humare paas kuch aisa hai jo humein batata hai ki Python kis tarah ka hai. Yeh hai: Long, nirdeshon ko samajhne mein lagta hai. Yeh, humein kisi bhi code ko likhne ke liye kisi vyaktigat nirdesh ko follow karna padta hai. Yeh hai: "sekolahon aur companyon mein, Python ko pehle hi sikhaya jaata hai." Iske alawa, Python ki bhasha bahut saral hai. Yeh, humein koi vyaktigat nirdesh nahin diya jata hai ki hum kis tarah ka code likhein. Yeh hai: "Python ki bhasha bahut saral hai. Yeh, humein koi vyaktigat nirdesh nahin diya jata hai ki hum kis tarah ka code likhein..
[Audio] Here is the stress calculation formula: Stress = Force / Area Force = 10 N Area = 5 mm^2 Stress = 10/5 = 2 N/mm^2 The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2. The stress value is 2 N/mm^2..
[Audio] Python mein control flow ka matlab hai ki ek program apne nirnayon ko banaye rakhne ke liye kuch sochta hai. Iske liye, yeh ek decision tak leta hai jaise ki kis machine process ka chayan karna hai. Python mein, yeh control flow ko groups karne ke liye spacing (indentation) ka upyog hota hai, jo ki curly braces (curly brackets) ke bajay hota hai. Yeh groups karne ka tareeka hai ki Python code ko saaf aur samajhnaasamana banaata hai. Isse, programmer ko apne code ko likhne mein madad milti hai. Ab, aapko ek example dekhna hoga. Aapke paas ek function hai jo factor of safety ko calculate karta hai. Yeh function do conditions par adharit hai - factor of safety ki maan aur design ki safai. Agar factor of safety 2 se adhik hai, toh design safe mana jaata hai. Agar nahin hai, toh design ki size badhane ki avashyakta hoti hai. Yeh function Python mein is tarah likha ja sakta hai: ```def calculate_factor_of_safety(yield_strength, working_stress): factor_of_safety = yield_strength / working_stress if factor_of_safety >= 2: return "Design is SAFE. Factor of Safety =", round(factor_of_safety, 2) else: return "Design is NOT SAFE. Increase section size." ``` Yeh function Python mein control flow ka upyog karti hai, jo ki ek decision tak le jati hai ki design ki safai kya hai. Yeh function ek clear aur readable code banaati hai, jo ki programmer ke liye samajhnaasamana hai. Isliye, Python mein control flow ek bahut hi mahatvapurna feature hai, jo ki programmer ko apne code ko likhne mein madad karta hai. Yeh feature programming ke liye ek bahut hi accha tareeka hai, kyunki yeh programmers ko apne code ko samajhne aur likhne mein madad karta hai..
[Audio] . CHAPTER 6. Loops — Repeating Instructions.
[Audio] Here is the rewritten text in Hindi:. CHAPTER 7.
CHAPTER 8. Data Structures — Lists, Tuples, Dictionaries, Sets.
[Audio] Functions की शिक्षा प्रोग्रामिंग में सीखने जा रहे हैं। फंक्शन एक ब्लॉक ऑफ़ कोड है जिसे हम फिर से फिर से लिखने के बजाय उपयोग कर सकते हैं। वे हमें दोहराने वाले समान टुकड़ों कोड से बचाते हैं। मुझे एक उदाहरण देने के लिए कहें। कल्पना करें कि आप एक वर्ग का क्षेत्रफल गणना करना चाहते हैं। आपको उसी फॉर्मूला को दोहराना पड़ता अगर आप इसे नहीं करते थे। लेकिन फंक्शन के साथ, आप बस फंक्शन को बुलाओ और लंबाई और चौड़ाई के मानों को पास करो। इससे हमारा कोड बहुत आसानी से पढ़ने और बनाए रखने में मदद मिलती है। फंक्शन ने हमें विभिन्न कार्यों को करने के लिए भी अनुमति देते हैं, जैसे कि क्षेत्रफल, आकार, और अधिक जटिल गणना। हम फंक्शन का उपयोग करके दोहराए गए कार्यों को ऑटोमेटेड रूप से करने और हमारे कोड को अधिक कुशल बनाने में मदद करते हैं। फंक्शन वास्तव में प्रोग्रामिंग में बहुत उपयोगी हैं और हमारे कोड की गुणवत्ता को बहुत बढ़ाते हैं।.
[Audio] Python ka sabse badiya cheez hai ki yah ek bahut hi samarthanakar pranaali hai jo aapko kisi bhi kaam ke liye sahayak ho sakta hai. Iske alawa, Python mein bahut se modules aur libraries hain jo aapko apne kaam ko karne mein madad karte hain. Aapko pehle se koi programming language chunna hota hai, toh Python ek bahut accha vikalp hai. Iske baad, aapko Python ko install karna hota hai aur uske saath saath ek editor ya IDE (Integrated Development Environment) chunna hota hai. Iske baad, aapko Python ke modules aur libraries ko install karna hota hai. Aapko kuch built-in modules jaise ki math, random, numpy, pandas, aur matplotlib ko install karna hota hai. Iske baad, aapko external packages ko install karna hota hai. Aapko pip ko install karna hota hai aur uske saath saath aise packages ko install karna hota hai jo aapko apne kaam ke liye zaroori hote hain. Iske baad, aapko Python ke modules aur libraries ko use karna hota hai. Aapko unhein apne kaam ke liye integrate karna hota hai aur unhein use karke aapko apne kaam ko karne mein madad milti hai. Aur ant mein, aapko Python ke modules aur libraries ko maintain karna hota hai. Aapko unhein update karna hota hai aur unhein use karke aapko apne kaam ko karne mein madad milti hai..
[Audio] "File handling is an essential part of programming. It saves data permanently to a file and reads it back later. When we save data to a file, we always prefer using "with open()" because it automatically closes the file after saving. We can create, overwrite, or append data to a file using this method. For example, we can write data to a file like this: with open("students.txt", "w") as file: file.write("Ravi Kumar - 88 Marks\n"). This will save the given data to a file named students.txt. Similarly, if we want to read data from a file, we can do so using the "read" option. On the other hand, when we want to modify existing data in a file, we can use the "write" option. Also, if we want to add new data to the end of a file, we can use the "append" option. For instance, we can append data to a file like this: with open("students.txt", "a") as file: file.write("Ravi Kumar - 90 Marks\n"). This will add the given data to the end of the file named students.txt. Now, let us talk about exception handling. Exception handling is an essential part of programming. It helps our programs to handle errors gracefully instead of crashing. When we encounter an error, our program can catch the error and take necessary actions. For example, if we try to convert a string to an integer using the "int" function, but the string does not contain a digit, the program will raise a ValueError. To handle such errors, we can use the "try-except" block. Here is an example: try: marks = int(input("Enter marks: ")) except ValueError: print("Please enter a valid number."). This code will catch the ValueError error and print a message asking the user to enter a valid number. In addition, there are three common exceptions that programmers need to be aware of: IndentationError, NameError, and TypeError. An IndentationError occurs when the programmer uses inconsistent spacing in their code. A NameError occurs when the programmer tries to access a variable that has not been defined. A TypeError occurs when the programmer mixes incompatible types in their code. By understanding these exceptions, programmers can write more robust and reliable code. Therefore, exception handling is an essential tool for every programmer. It enables our programs to handle errors gracefully and run smoothly even when unexpected errors occur. By mastering exception handling, programmers can write more efficient and effective code. Hence, exception handling is a vital skill for every programmer to learn..
[Audio] Ravi Kumar ne iska likhna hai yah pustak aur uski ek shikshak hai. Yeh khaas taur par ek prashn ka uttar dene wale ke liye likhi gayi pustak hai. Iske baad, yah pustak kya hai? Yah pustak ek prashn ka uttar dena sikhne ki pustak hai. Ismein kuchh samasyaon ko hal karne ke tareeke bataye gaye hain. Iske alawa, yah pustak kaise likhi gayi thi? Yah pustak Ravi Kumar dwara likhi gayi thi. Usne apni anubhavon aur gyan ko is pustak mein shaamil kiya tha. Is pustak mein, Ravi Kumar ne kai tarah ke prashno ko uttar diya hai. Ismein se kuchh prashno aapko bhi samajhne mein madad karenge..
[Audio] Ravi Kumar ne is book ka lekhak hai aur vah ek trainer hai..
[Audio] "Python Programming - Shuruwat se Prashikshak Tak Nirdeshika, Er. Davinder Sharma, MSME Technology Centre, Baddi mein Prashikshan Sahayak (TA). Bharat mein shikshak ke roop mein, main aapko kahaan ja raha hoon? Main aapke saath ek samvaad karne ki koshish kar raha hoon, lekin mujhe aapki sahayata ki zaroorat hai taaki main apni baatein sahi tarike se prastut kar sakun. Aapke samne ek shiksha pranali hai jo aapke liye bahut mahatvapurna hai. Isliye, main aapko yeh batana chahta hoon ki yeh pranali kya hai aur uska uddeshya kya hai. Aapke samne ek shiksha pranali hai jo Python programming ko seekhne ke liye vishesh roop se taiyar hai. Yeh pranali aapko Python ki mool concepts, data structures, file handling, error handling, aur bahut kuch se jodti hai. Is pranali ke madhyam se, aap Python ki mool concepts jaise ki variables, data types, loops, conditional statements, functions, modules, packages, file input/output, aur bahut kuch seekh sakte hain. Aapko Python ki advanced topics bhi sikhane ka mauka milega, jaise ki object-oriented programming, decorators, generators, aur bahut kuch. Yeh pranali aapko Python ki sari mool aur advanced concepts sikhane ke liye taiyar karti hai. Aapke liye yeh pranali Python ki mool concepts sikhne ke liye bahut upyogi hogi. Aapko yeh pranali Python ki advanced topics se bhi jodti hai, jisse aapko Python ki sabhi concepts ko sikhne mein madad milegi. Aapke liye yeh pranali Python ki mool concepts sikhne ke liye bahut upyogi hogi. Aapko yeh pranali Python ki advanced topics se bhi jodti hai, jisse aapko Python ki sabhi concepts ko sikhne mein madad milegi. Aapke liye yeh pranali Python ki mool concepts sikhne ke liye bahut upyogi hogi. Aapko yeh pranali Python ki advanced topics se bhi jodti hai, jisse aapko Python ki sabhi concepts ko sikhne mein madad milegi. Aapke liye yeh pranali Python ki mool concepts sikhne ke liye bahut upyogi hogi. Aapko yeh pranali Python ki advanced topics se bhi jodti hai, jisse aapko Python ki sabhi concepts ko sikhne mein madad milegi. Aapke liye yeh pranali Python ki mool concepts sikhne ke liye bahut upyogi hogi. Aapko yeh pranali Python ki advanced topics se bhi jodti hai, jisse aapko Python ki sabhi concepts ko sikhne mein madad milegi. Aapke liye yeh pranali Python ki mool concepts sikhne ke liye bahut upyogi hogi. Aapko yeh pranali Python ki advanced topics se bhi jodti hai, jisse aapko Python ki sabhi concepts ko sikhne mein madad milegi. Aapke liye yeh pranali Python ki mool concepts sikhne ke liye bahut upyogi hogi. Aapko yeh pranali Python ki advanced topics se bhi jodti hai, jisse aapko Python ki sabhi concepts ko sikhne mein madad milegi..